Competitive intelligence for AI-mediated buying decisions. Where Resonate Labs wins, where it loses, and a prioritized three-layer execution plan — built from 150 buyer queries across ChatGPT + Claude + Gemini + Perplexity.
Resonate Labs is a credible competitor in AI-mediated buying conversations — but only the ones it's invited into, which today is fewer than 9% of all buyer queries across four major AI platforms.
[Mechanism] The visibility gap has three compounding causes. First, the entire early-funnel — all 43 queries across problem identification, solution exploration, and requirements building — returns zero visibility because existing content, while topically relevant, lacks the extraction-ready structure AI engines need to cite it in educational, non-vendor responses. Second, commercial content with the strongest proof points (the Insynctive case study, pricing, how-it-works) lives only as homepage anchors, concentrating all citation authority on a single URL and preventing targeted extraction for specific buyer questions.
Third, two feature areas with no sufficient content — pipeline attribution and citation source analysis — are precisely the topics where Discovered Labs and Profound win by default, and where Resonate Labs currently loses even direct matchup queries like res_086 and res_093.
[Synthesis] L1 technical fixes must execute before L2 and L3 work because the sitemap lastmod correction and URL promotion directly affect which pages AI crawlers index and how frequently they recrawl them. Specifically, promoting the case study to /case-studies/insynctive creates a citable URL for the client's strongest proof point — a URL that L2 and L3 recommendations can then cross-link to — while the sitemap fix ensures new and updated pages are discovered promptly rather than waiting for an undifferentiated next-deploy crawl.
Where Resonate Labs appears and where it doesn't — across personas, buying jobs, and platforms.
[TL;DR] Resonate Labs is visible in 9% of buyer queries and wins 77% of those. The primary challenge is getting visible in the first place. High-intent queries run higher at 14%.
Resonate Labs' 8.6% overall visibility masks a structurally sound late-funnel position — the problem is that 100% early-funnel invisibility means most buyers never reach the Comparison stage where the client performs well.
| Dimension | Combined |
|---|---|
| All Queries | 8.6% |
| By Persona | |
| Head of Content Marketing | 0% |
| Director of Demand Generation / Growth Marketing | 3.1% |
| Founder / CEO | 15.4% |
| Head of SEO / Organic Growth | 6.2% |
| VP of Marketing / CMO | 15.8% |
| By Buying Job | |
| Artifact Creation | 0% |
| Comparison | 36.4% |
| Consensus Creation | 8.3% |
| Problem Identification | 0% |
| Requirements Building | 0% |
| Shortlisting | 0% |
| Solution Exploration | 0% |
| Validation | 0% |
[Data] Overall visibility: 8.6% (13/151 queries). High-intent visibility: 14.5% (12/83 high-intent queries), win rate among visible high-intent: 75% (9/12). Comparison stage: 36.4% visible (12/33), 75% win rate (9/12).
Shortlisting: 0% (0/26). Validation: 0% (0/24). Early-funnel: 0% (0/43 across problem identification, solution exploration, requirements building).
Decision-maker visibility: 15.4–15.8%; evaluator visibility: 0–6.3%.
[Synthesis] The visibility pattern is funnel-shaped in reverse: the client is strongest at the moment of Comparison and weakest at the moment of discovery. The 13pp gap between decision-maker and evaluator visibility ratesmatters because evaluators — SEO leads, content leads, demand gen directors — are the researchers who build the shortlists that decision-makers approve. Fixing evaluator-stage visibility converts the client's strong Comparison win rate into more qualified pipeline.
51 queries won by named competitors · 26 no clear winner · 61 no vendor mentioned
Sorted by competitive damage — competitor-winning queries first.
| ID | Query | Persona | Stage | Winner |
|---|---|---|---|---|
| ⚑ Competitor Wins — 51 queries where a named competitor captures the buyer | ||||
| "" | Omniscient Digital | |||
| res_012 | "How do we even know which questions our buyers are asking AI tools about our category?" | Director of Demand Generation / Growth Marketing | Problem Identification | Profound |
| res_044 | "We've leaned on SEO for years but vanished from AI answers — best GEO agencies for B2B SaaS to fix that?" | VP of Marketing / CMO | Shortlisting | Omniscient Digital |
| res_045 | "Top AI visibility audit services that deliver a prioritized action plan, not just a dashboard, for SaaS teams" | Director of Demand Generation / Growth Marketing | Shortlisting | Profound |
| res_046 | "Our tracker shows we're losing AI citations — which GEO providers best fix source attribution in a competitive SaaS category?" | Head of SEO / Organic Growth | Shortlisting | Peec AI |
| res_047 | "Best done-for-you GEO services that actually write and ship the content for small marketing teams" | Head of Content Marketing | Shortlisting | Animalz |
| res_050 | "Beyond our current rank tracker, best AI visibility tools for benchmarking share of voice against competitors across ChatGPT and Google AI Overviews?" | Director of Demand Generation / Growth Marketing | Shortlisting | Profound |
| res_051 | "Upgrading from a basic mention tracker — top continuous AI search monitoring platforms for SaaS SEO teams needing daily tracking?" | Head of SEO / Organic Growth | Shortlisting | Peec AI |
| res_052 | "Best GEO services that give content teams reusable page templates AI engines like to cite" | Head of Content Marketing | Shortlisting | Omniscient Digital |
| res_054 | "We've outgrown DIY keyword tracking — best AI visibility audit services for a 40-person SaaS startup?" | Founder / CEO | Shortlisting | Profound |
Remaining competitor wins: Profound ×10, Omniscient Digital ×9, Discovered Labs ×7, Position Digital ×4, Scrunch AI ×3, Grizzle ×3, Peec AI ×3, Animalz ×2. 26 queries with no clear winner. 61 queries with no vendor mentioned. Full query-level data available in the analysis export.
| ID | Query | Persona | Stage | Winner |
|---|---|---|---|---|
| res_056 | "Our one-off audit went stale — best GEO providers offering recurring audits to track AI visibility trends for SaaS brands?" | Head of SEO / Organic Growth | Shortlisting | Profound |
| res_057 | "How does Discovered Labs stack up against other GEO agencies for B2B SaaS AI visibility?" | VP of Marketing / CMO | Shortlisting | Discovered Labs |
| res_058 | "Switching from our content agency to a GEO-focused one — best options that handle AI-optimized production?" | Head of Content Marketing | Shortlisting | Omniscient Digital |
| res_059 | "Replacing single-engine tracking — top services to audit how a SaaS brand appears across ChatGPT, Claude, Gemini, and Perplexity at once?" | Director of Demand Generation / Growth Marketing | Shortlisting | Profound |
| res_061 | "Our SEO tools can't show AI citations — which GEO tools reveal which sources AI cites so we can fix our product description?" | Head of SEO / Organic Growth | Shortlisting | Profound |
| res_062 | "Our last GEO vendor overwhelmed us — best audit and action-plan services for a B2B SaaS marketing team of five with limited bandwidth?" | VP of Marketing / CMO | Shortlisting | Discovered Labs |
| res_063 | "Moving on from ad-hoc freelancers — recommend GEO partners providing a content deployment playbook for a lean SaaS content team" | Head of Content Marketing | Shortlisting | Omniscient Digital |
| res_064 | "Profound vs Scrunch vs hiring an agency — best way to benchmark AI share of voice for SaaS?" | Director of Demand Generation / Growth Marketing | Shortlisting | Profound |
| res_065 | "Moving off Otterly for something more actionable — best AI visibility platforms with execution support?" | Head of SEO / Organic Growth | Shortlisting | Profound |
| res_066 | "Leading GEO agencies for SaaS brands that are invisible in AI answers but strong in traditional search" | VP of Marketing / CMO | Shortlisting | Omniscient Digital |
| res_068 | "Our content agency isn't moving AI visibility — best GEO content partners for a SaaS team watching organic clicks dry up?" | Head of Content Marketing | Shortlisting | Omniscient Digital |
| res_069 | "Our keyword tool misses buyer intent — which AI visibility audits model our actual buyer personas and the questions they ask assistants?" | Director of Demand Generation / Growth Marketing | Shortlisting | Profound |
| res_071 | "We're moving off Discovered Labs' tracking — how does it compare to a productized GEO audit on technical depth?" | Head of SEO / Organic Growth | Comparison | Discovered Labs |
| res_072 | "Omniscient Digital vs Animalz for B2B SaaS content that gets cited by AI — how do they compare?" | Director of Demand Generation / Growth Marketing | Comparison | Omniscient Digital |
| res_073 | "We're replacing our SEO agency — Grizzle vs Position Digital for combining SEO and GEO at a mid-market SaaS company?" | VP of Marketing / CMO | Comparison | Position Digital |
| res_075 | "Profound vs Scrunch AI for tracking brand visibility across ChatGPT, Perplexity, and Gemini" | Head of SEO / Organic Growth | Comparison | Scrunch AI |
| res_076 | "Our current content vendor underdelivers — Animalz vs Omniscient Digital for B2B SaaS content that gets cited by AI?" | Head of Content Marketing | Comparison | Omniscient Digital |
| res_078 | "Outgrowing our SEO agency — Grizzle vs Animalz for B2B SaaS organic growth that includes AI search visibility?" | Director of Demand Generation / Growth Marketing | Comparison | Grizzle |
| res_079 | "Upgrading from a basic tracker — Profound vs Peec AI: which AI visibility tracker is better for a lean SaaS SEO team?" | Head of SEO / Organic Growth | Comparison | Peec AI |
| res_083 | "Discovered Labs vs Profound — agency-led AI visibility versus a self-serve tracking tool" | Director of Demand Generation / Growth Marketing | Comparison | Profound |
| res_085 | "Replacing our rank tracker — Scrunch AI vs Profound for competitive share-of-voice benchmarking in AI answers?" | VP of Marketing / CMO | Comparison | Profound |
| res_087 | "Switching content providers — Omniscient Digital vs Grizzle for done-for-you GEO content at a growing SaaS company?" | Head of Content Marketing | Comparison | Grizzle |
| res_089 | "Scrunch AI vs a recurring GEO audit service — which keeps SaaS visibility from going stale over time?" | Head of SEO / Organic Growth | Comparison | Scrunch AI |
| res_092 | "Switching from our current SEO vendor — Position Digital vs Grizzle for tracking how often AI recommends competitors over us?" | Director of Demand Generation / Growth Marketing | Comparison | Position Digital |
| res_095 | "Discovered Labs vs Omniscient Digital — which better upskills an internal marketing team on GEO?" | VP of Marketing / CMO | Comparison | Omniscient Digital |
| res_096 | "Our current tool misreads buyer intent — Profound vs Otterly.ai: which better reflects the real questions our buyers ask AI?" | Director of Demand Generation / Growth Marketing | Comparison | Profound |
| res_098 | "Our current monitor isn't cutting it — Scrunch AI vs Peec AI for continuous AI search monitoring on a small SaaS team?" | Head of SEO / Organic Growth | Comparison | Peec AI |
| res_106 | "We currently retain Animalz — hidden costs of their retainers that mid-market marketing teams don't expect?" | VP of Marketing / CMO | Validation | Animalz |
| res_107 | "Grizzle GEO results — does the AI visibility actually improve or just the reporting?" | Director of Demand Generation / Growth Marketing | Validation | Grizzle |
| res_108 | "Position Digital implementation problems for early-stage SaaS companies" | Founder / CEO | Validation | Position Digital |
| res_111 | "Does Discovered Labs actually prove pipeline impact, or just citation counts?" | VP of Marketing / CMO | Validation | Discovered Labs |
| res_112 | "Scrunch AI accuracy concerns — how reliable is its AI mention tracking for a SaaS category?" | Head of SEO / Organic Growth | Validation | Scrunch AI |
| res_113 | "Profound versus reality — is the data accurate enough to act on for a B2B SaaS team?" | Director of Demand Generation / Growth Marketing | Validation | Profound |
| res_114 | "Will Discovered Labs leave my team able to run GEO, or dependent on them?" | Founder / CEO | Validation | Discovered Labs |
| res_115 | "We're on an Omniscient Digital retainer — is it worth the premium for a mid-market SaaS, or should we switch?" | VP of Marketing / CMO | Validation | Omniscient Digital |
| res_121 | "Peec AI limitations for competitive AI visibility analysis at a SaaS company" | Head of SEO / Organic Growth | Validation | Peec AI |
| res_122 | "What should I watch out for before signing with Position Digital for GEO?" | Director of Demand Generation / Growth Marketing | Validation | Position Digital |
| res_123 | "Reasons mid-market SaaS teams churn from Omniscient Digital" | VP of Marketing / CMO | Validation | Omniscient Digital |
| res_125 | "We're with Discovered Labs — does it actually ship content, or just tell you what to write?" | Head of Content Marketing | Validation | Discovered Labs |
| res_140 | "Create a vendor Comparison scorecard for Discovered Labs, Omniscient Digital, and a productized GEO audit, focused on AI share-of-voice measurement" | Director of Demand Generation / Growth Marketing | Artifact Creation | Discovered Labs |
| res_144 | "Build a Comparison matrix for Grizzle, Position Digital, and Animalz on GEO capabilities for a B2B SaaS marketing team" | Director of Demand Generation / Growth Marketing | Artifact Creation | Animalz |
| res_001 | "Buyers keep telling us they found our competitors through ChatGPT but not us — how do other SaaS marketing teams tackle that?" | VP of Marketing / CMO | Problem Identification | No Vendor Mentioned |
| res_002 | "How are B2B SaaS growth teams figuring out whether AI assistants are actually recommending them to buyers?" | Director of Demand Generation / Growth Marketing | Problem Identification | No Clear Winner |
| res_003 | "Organic traffic is sliding as AI overviews answer everything — what are SaaS teams doing to stay visible?" | Head of SEO / Organic Growth | Problem Identification | No Vendor Mentioned |
| res_004 | "What kinds of content still get picked up when AI answers the question directly instead of sending clicks?" | Head of Content Marketing | Problem Identification | No Vendor Mentioned |
| res_005 | "Competitors are becoming the default answer when buyers ask AI about our category — what should a founder do about it?" | Founder / CEO | Problem Identification | No Vendor Mentioned |
| res_006 | "Everyone says we need to optimize for AI search but what does a marketing team actually do first?" | VP of Marketing / CMO | Problem Identification | No Vendor Mentioned |
| res_007 | "When AI recommends tools in our space, where is it actually pulling those answers from?" | Director of Demand Generation / Growth Marketing | Problem Identification | No Vendor Mentioned |
| res_008 | "How big a deal is it for a startup if ChatGPT never mentions us when buyers ask for recommendations?" | Founder / CEO | Problem Identification | No Vendor Mentioned |
| res_009 | "What's the smartest way for a small content team to start showing up in AI answers?" | Head of Content Marketing | Problem Identification | No Vendor Mentioned |
| res_010 | "AI answers about our category keep changing month to month — how do teams keep up with that?" | Head of SEO / Organic Growth | Problem Identification | No Clear Winner |
| res_011 | "Is there any way to tell whether showing up in AI chat answers actually drives pipeline?" | VP of Marketing / CMO | Problem Identification | No Vendor Mentioned |
| res_013 | "We've poured budget into SEO but still don't show up in AI answers — what are we missing?" | Founder / CEO | Problem Identification | No Vendor Mentioned |
| res_014 | "We pay for a tracking tool but nothing improves — build vs buy: when does hiring a GEO agency beat the tool?" | Head of SEO / Organic Growth | Solution Exploration | No Vendor Mentioned |
| res_015 | "What's the difference between GEO, AEO, and traditional SEO for B2B SaaS, and which actually moves AI recommendations?" | Director of Demand Generation / Growth Marketing | Solution Exploration | No Vendor Mentioned |
| res_016 | "We already have an AI visibility tracker — does it improve how we show up, or do we still need someone to act on the data?" | Head of SEO / Organic Growth | Solution Exploration | No Vendor Mentioned |
| res_017 | "Should we hire a GEO agency to produce content or train our in-house team to do it themselves?" | Head of Content Marketing | Solution Exploration | No Vendor Mentioned |
| res_018 | "What are the realistic options for getting AI visibility work done — DIY tools, agencies, or upskilling our own marketers?" | VP of Marketing / CMO | Solution Exploration | No Vendor Mentioned |
| res_019 | "How do GEO services actually get a brand cited in LLM answers — what's the underlying methodology?" | Head of SEO / Organic Growth | Solution Exploration | No Vendor Mentioned |
| res_020 | "How do AI visibility audits decide which buyer questions to test instead of just generic keywords?" | Director of Demand Generation / Growth Marketing | Solution Exploration | No Vendor Mentioned |
| res_021 | "Is GEO something a startup should outsource now or build internal capability for over time?" | Founder / CEO | Solution Exploration | No Vendor Mentioned |
| res_022 | "One-off AI audit versus an ongoing GEO program — what are the real tradeoffs for keeping visibility up?" | Head of SEO / Organic Growth | Solution Exploration | No Vendor Mentioned |
| res_023 | "What types of pages do AI assistants tend to cite, and how is that different from writing for Google?" | Head of Content Marketing | Solution Exploration | No Vendor Mentioned |
| res_024 | "How do teams measure share of voice in AI answers against competitors — is there a standard approach?" | Director of Demand Generation / Growth Marketing | Solution Exploration | No Clear Winner |
| res_025 | "What approaches exist for connecting AI visibility work to pipeline so it's not just a vanity metric?" | VP of Marketing / CMO | Solution Exploration | No Vendor Mentioned |
| res_026 | "Do you need to test ChatGPT, Claude, Gemini, and Perplexity separately, or is one enough to gauge AI visibility?" | Head of SEO / Organic Growth | Solution Exploration | No Vendor Mentioned |
| res_027 | "We bought an AI tracking tool and nothing changed — what kind of help actually turns those insights into results?" | Founder / CEO | Solution Exploration | No Vendor Mentioned |
| res_028 | "Done-for-you GEO content versus templates and training — which gets a small team to results faster?" | Head of Content Marketing | Solution Exploration | No Vendor Mentioned |
| res_029 | "Key things to look for when choosing a GEO partner for a B2B SaaS company that needs to prove AI visibility to leadership" | VP of Marketing / CMO | Requirements Building | No Vendor Mentioned |
| res_030 | "What should a GEO audit include — citation source analysis, competitor share of voice, what else is non-negotiable?" | Head of SEO / Organic Growth | Requirements Building | No Vendor Mentioned |
| res_031 | "What does a good 30-day AI visibility action plan actually contain for a mid-market SaaS marketing team?" | Director of Demand Generation / Growth Marketing | Requirements Building | No Vendor Mentioned |
| res_032 | "Must-have versus nice-to-have when picking a GEO vendor that can also produce the content, not just audit it" | VP of Marketing / CMO | Requirements Building | No Vendor Mentioned |
| res_033 | "What questions should I ask a GEO agency about how they measure visibility across ChatGPT, Perplexity, and Gemini?" | Head of SEO / Organic Growth | Requirements Building | No Vendor Mentioned |
| res_034 | "Evaluation criteria for a GEO service that needs to give my content team a repeatable page playbook, not one-off deliverables" | Head of Content Marketing | Requirements Building | No Vendor Mentioned |
| res_035 | "For a seed-stage SaaS, what should we require from a GEO vendor to tie the work to pipeline and revenue?" | Founder / CEO | Requirements Building | No Vendor Mentioned |
| res_036 | "How do I evaluate whether a GEO provider can actually track competitor share of voice in AI answers?" | Director of Demand Generation / Growth Marketing | Requirements Building | No Vendor Mentioned |
| res_037 | "Coming off a locked-in retainer — what should I look for in a GEO engagement that upskills my team instead of keeping us dependent?" | VP of Marketing / CMO | Requirements Building | No Vendor Mentioned |
| res_038 | "Replacing a one-off audit with ongoing monitoring — requirements checklist for AI visibility, and how often should results refresh?" | Head of SEO / Organic Growth | Requirements Building | No Vendor Mentioned |
| res_039 | "What capabilities matter when choosing a partner to write GEO-optimized pages that AI engines will actually cite?" | Head of Content Marketing | Requirements Building | No Vendor Mentioned |
| res_040 | "What deliverables should a startup insist on before signing a GEO engagement — audit, plan, execution, or all three?" | Founder / CEO | Requirements Building | No Vendor Mentioned |
| res_041 | "How important is buyer-persona query modeling when picking a GEO audit, versus just tracking a list of keywords?" | Director of Demand Generation / Growth Marketing | Requirements Building | No Vendor Mentioned |
| res_042 | "We're replacing a one-time audit with something ongoing — what should recurring GEO reporting include to show progress?" | VP of Marketing / CMO | Requirements Building | No Vendor Mentioned |
| res_043 | "What should a GEO audit tell me about why AI describes our product wrong and which sources it's citing?" | Head of SEO / Organic Growth | Requirements Building | No Vendor Mentioned |
| res_048 | "Top GEO consultants for an early-stage B2B SaaS startup with no in-house AI search expertise" | Founder / CEO | Shortlisting | No Clear Winner |
| res_049 | "We're stuck on an agency retainer — GEO partners that instead train your marketing team to run AI optimization in-house?" | VP of Marketing / CMO | Shortlisting | No Clear Winner |
| res_053 | "Our current agency can't prove ROI — which GEO agencies tie AI visibility to pipeline for a mid-market SaaS reporting to a CFO?" | VP of Marketing / CMO | Shortlisting | No Clear Winner |
| res_055 | "GEO audits that test real buyer-intent questions for B2B SaaS, not generic keyword lists — recommendations?" | Director of Demand Generation / Growth Marketing | Shortlisting | No Clear Winner |
| res_060 | "Best GEO offerings for founders who want a done-with-you engagement, not a pure software subscription" | Founder / CEO | Shortlisting | No Vendor Mentioned |
| res_067 | "GEO services a startup can justify to investors — which ones connect AI visibility to real growth?" | Founder / CEO | Shortlisting | No Vendor Mentioned |
| res_080 | "Hiring Omniscient Digital versus a productized GEO audit — what's better value for a startup?" | Founder / CEO | Comparison | No Clear Winner |
| res_082 | "Animalz vs a templated GEO playbook — which helps a small content team ship cited pages faster?" | Head of Content Marketing | Comparison | No Clear Winner |
| res_088 | "Position Digital versus a collaborative GEO engagement — which leaves my team more capable afterward?" | Director of Demand Generation / Growth Marketing | Comparison | No Clear Winner |
| res_094 | "We're leaving Animalz — how does a GEO-first content service compare for AI visibility?" | Head of Content Marketing | Comparison | No Vendor Mentioned |
| res_100 | "Replacing a generalist content agency — Grizzle vs a productized GEO playbook for a SaaS content team needing repeatable output?" | Head of Content Marketing | Comparison | No Clear Winner |
| res_102 | "Omniscient Digital vs a productized GEO audit service for measuring AI visibility across all major assistants" | Head of SEO / Organic Growth | Comparison | No Clear Winner |
| res_103 | "We're on Discovered Labs and reconsidering — what do B2B SaaS clients complain about?" | VP of Marketing / CMO | Validation | No Clear Winner |
| res_104 | "Biggest risks of hiring Discovered Labs for a startup with a tight GEO budget" | Founder / CEO | Validation | No Clear Winner |
| res_105 | "Common complaints about Omniscient Digital from SaaS marketing teams" | Head of SEO / Organic Growth | Validation | No Clear Winner |
| res_109 | "Profound limitations — what do teams say it misses for AI visibility tracking?" | Head of SEO / Organic Growth | Validation | No Clear Winner |
| res_110 | "We're winding down our Animalz engagement — what typically goes wrong with their content for small SaaS teams?" | Head of Content Marketing | Validation | No Clear Winner |
| res_116 | "Grizzle content quality complaints — what do reviewers warn about?" | Head of Content Marketing | Validation | No Clear Winner |
| res_117 | "Considering leaving Position Digital — does it keep AI visibility up over time or is it one-and-done?" | Head of SEO / Organic Growth | Validation | No Clear Winner |
| res_118 | "Outgrowing Otterly.ai — what can't it do for serious AI visibility work?" | Director of Demand Generation / Growth Marketing | Validation | No Clear Winner |
| res_119 | "We're unhappy with Discovered Labs — what typically goes wrong with these GEO retainers?" | Founder / CEO | Validation | No Clear Winner |
| res_120 | "Animalz GEO — common reasons SaaS marketers say the results underwhelmed" | VP of Marketing / CMO | Validation | No Clear Winner |
| res_124 | "Hidden costs and risks of a Grizzle engagement for a budget-conscious startup" | Founder / CEO | Validation | No Clear Winner |
| res_126 | "How accurate are AI visibility audits in general — can the citation data really be trusted?" | Head of SEO / Organic Growth | Validation | No Vendor Mentioned |
| res_128 | "What's the ROI argument for investing in AI visibility now versus waiting another year as a startup?" | Founder / CEO | Consensus Creation | No Vendor Mentioned |
| res_129 | "How do I convince leadership that competitors winning AI recommendations is an urgent revenue risk?" | Director of Demand Generation / Growth Marketing | Consensus Creation | No Vendor Mentioned |
| res_130 | "Typical payback period for a GEO program at a mid-market B2B SaaS company" | VP of Marketing / CMO | Consensus Creation | No Vendor Mentioned |
| res_131 | "Case studies of B2B SaaS companies that grew pipeline by improving their AI search visibility" | Founder / CEO | Consensus Creation | No Vendor Mentioned |
| res_132 | "How do I justify a collaborative, done-with-you GEO program over just buying a cheaper tracking tool?" | VP of Marketing / CMO | Consensus Creation | No Vendor Mentioned |
| res_133 | "What metrics should I report each cycle to prove our GEO program is improving visibility and pipeline?" | Director of Demand Generation / Growth Marketing | Consensus Creation | No Vendor Mentioned |
| res_134 | "Risk-mitigation argument for funding GEO now instead of waiting until our organic traffic collapses further" | Founder / CEO | Consensus Creation | No Vendor Mentioned |
| res_135 | "We're shifting from a tracking agency to a productized audit — how do I justify that over Discovered Labs to my exec team?" | VP of Marketing / CMO | Consensus Creation | No Clear Winner |
| res_136 | "Building the internal case for baselining our AI visibility before competitors lock in the category narrative" | Director of Demand Generation / Growth Marketing | Consensus Creation | No Vendor Mentioned |
| res_137 | "How do I make the case to leadership for outsourcing GEO content instead of overloading my team?" | Head of Content Marketing | Consensus Creation | No Vendor Mentioned |
| res_138 | "We're reallocating SEO budget to GEO — how do I frame that shift to the leadership team?" | VP of Marketing / CMO | Consensus Creation | No Vendor Mentioned |
| res_139 | "Draft an RFP for a GEO audit service covering ChatGPT, Claude, Gemini, and Perplexity visibility for a mid-market B2B SaaS company" | VP of Marketing / CMO | Artifact Creation | No Vendor Mentioned |
| res_141 | "Build a three-year TCO model for a GEO program at a 50-person SaaS startup, including audit, content, and tracking costs" | Founder / CEO | Artifact Creation | No Vendor Mentioned |
| res_142 | "Write evaluation criteria a marketing leader would use to choose a GEO partner, focused on action-plan quality and execution" | VP of Marketing / CMO | Artifact Creation | No Vendor Mentioned |
| res_143 | "Create a questionnaire for GEO vendors about how they identify which sources AI cites and fix inaccurate product descriptions" | Head of SEO / Organic Growth | Artifact Creation | No Vendor Mentioned |
| res_145 | "Draft a 30-day GEO action plan template for an early-stage SaaS startup with no prior AI search optimization, prioritized by impact" | Founder / CEO | Artifact Creation | No Vendor Mentioned |
| res_146 | "Create a quarterly GEO reporting template that shows AI visibility trends and ties them to pipeline for executive review" | VP of Marketing / CMO | Artifact Creation | No Vendor Mentioned |
| res_147 | "Write a content production brief template for GEO-optimized pages that AI engines are likely to cite, for a lean content team" | Head of Content Marketing | Artifact Creation | No Vendor Mentioned |
| res_148 | "Draft a list of buyer-intent questions our personas would ask AI assistants when evaluating tools in our SaaS category" | Director of Demand Generation / Growth Marketing | Artifact Creation | No Vendor Mentioned |
| res_149 | "Create a vendor scorecard comparing done-for-you, done-with-you, and tool-only GEO options for a team replacing a tracking subscription" | VP of Marketing / CMO | Artifact Creation | No Clear Winner |
| res_150 | "Build an evaluation framework comparing agency-led GEO audits against tools like Profound and Scrunch for measuring AI visibility" | Head of SEO / Organic Growth | Artifact Creation | No Clear Winner |
Queries where Resonate Labs is mentioned but a competitor is positioned more favorably.
| ID | Query | Persona | Buying Job | Winner | Resonate Labs Position |
|---|---|---|---|---|---|
| res_086 | "Resonate Labs vs Discovered Labs — which better connects AI visibility to pipeline for a startup?" | Founder / CEO | Comparison | Discovered Labs | Strong 2nd |
| res_093 | "Discovered Labs vs Resonate Labs on citation and source analysis for SaaS GEO" | Head of SEO / Organic Growth | Comparison | Discovered Labs | Strong 2nd |
| res_097 | "Thinking of switching from Discovered Labs to Resonate Labs — what's the difference for a startup?" | Founder / CEO | Comparison | Discovered Labs | Strong 2nd |
Who’s winning when Resonate Labs isn’t — and who controls the narrative at each buying stage.
[TL;DR] Resonate Labs wins 6.6% of queries (10/151), ranks #10 in SOV — H2H record: 12W–5L across 6 competitors.
A #10 SOV rank understates competitive capability: the client wins cleanly against most named competitors in direct matchups, but Discovered Labs' 4.7x mention advantage means it defines the category narrative in queries where Resonate Labs never appears.
| Company | Mentions | Share |
|---|---|---|
| Discovered Labs | 61 | 21.2% |
| Profound | 47 | 16.3% |
| Otterly.ai | 30 | 10.4% |
| Peec AI | 26 | 9% |
| Omniscient Digital | 25 | 8.7% |
| Grizzle | 24 | 8.3% |
| Animalz | 23 | 8% |
| Scrunch AI | 22 | 7.6% |
| Position Digital | 17 | 5.9% |
| Resonate Labs | 13 | 4.5% |
When Resonate Labs and a competitor both appear in the same response, who gets the recommendation? One query with multiple competitors generates a matchup against each — so H2H totals will exceed the query count.
Win = primary recommendation (cross-platform majority). Loss = competitor was. Tie = neither or third party.
For the 138 queries where Resonate Labs is completely absent:
Vendors appearing in responses not in Resonate Labs’s defined competitive set.
[Data] SOV rank: #10 of 10 tracked entities (4.5% share, 13 mentions). Discovered Labs leads at 21.2% (61 mentions). High-intent win rate: 75% (9/12 visible high-intent queries).
H2H vs. Discovered Labs: 4 client wins, 5 competitor wins across 9 co-appearing queries. H2H vs.
Grizzle: 3-0. H2H vs. Position Digital: 2-0.
H2H vs. Omniscient Digital: 1-0.
[Synthesis] Query-level win rate and H2H records tell different stories that must be read together. The 75% high-intent win rate (9/12 visible high-intent queries) reflects strong performance once the client enters a conversation, but with only 13 total mentions against Discovered Labs' 61, most conversations never include Resonate Labs at all. H2H records show the client beats Grizzle, Position Digital, and Omniscient Digital cleanly when matched, but trails Discovered Labs 4-5 — the one competitor whose SOV dominance most urgently needs to be challenged with Comparison and pipeline attribution content.
What AI reads and trusts in this category.
[TL;DR] Resonate Labs had 6 unique pages cited across buyer queries, ranking #12 among all cited domains. 10 high-authority domains cite competitors but not Resonate Labs.
Six unique pages generating 49 domain-level citation instances establishes domain recognition but not topical authority — the path to more citations runs through discrete, extractable URLs for the client's highest-evidence content rather than more pages on the same topics.
Note: Domain-level citation counts (above) tally instances per individual domain. Competitor-level counts (below) aggregate across all domains owned by a single vendor, which may include subdomains.
Non-competitor domains citing other vendors but not Resonate Labs — off-domain authority opportunities.
These domains cited competitors but did not cite Resonate Labs pages in the queries analyzed. This reflects citation patterns in AI responses, not overall platform presence.
[Data] Client domain cited 49 times across 6 unique pages. Domain rank: #12 among all cited domains. Homepage accounts for the majority of citation instances.
Competitor discoveredlabs.com: 241 citation instances. arxiv.org leads all domains at 252 citation instances with no client presence. resonatelabs.co/business-case-for-geo: 7 citation instances; /resources: 5; /how-we-measure-geo: 3; /what-is-geo: 3; /partners: 1.
[Synthesis] Six unique pages generating 49 domain-level citation instances places Resonate Labs in the indexed tier but far from the cited-authority tier. The concentration of citations on the homepage — while secondary pages contribute only 1–7 instances each — signals that AI engines recognize the domain but lack specific, extractable content to cite for targeted buyer questions. The commercial content buried as homepage anchors (case study, pricing, how-it-works) cannot be cited as standalone sources, compressing citation authority onto a single URL rather than distributing it across topic-specific pages.
Three layers of recommendations ranked by commercial impact and implementation speed.
[TL;DR] 33 priority recommendations (plus 1 near-rebuild optimizations) targeting 141 gap queries (138 invisible, 3 positioning gaps). 2 L1 technical fixes + 3 verification checks, 18 content optimizations (L2), 10 new content initiatives (L3).
29 recommendations in dependency order — L1 infrastructure repairs, then L2 content deepening across 91 gap queries, then L3 new pages for 50 uncovered queries — address the full gap in a sequence where each layer makes the next layer more effective.
Reading the priority numbers: Recommendations are ranked 1–33 across all three layers by commercial impact × implementation speed. Within each layer, items appear in priority order. Gaps in the sequence (e.g., L1 shows 1, 2, then 12) mean higher-priority items belong to a different layer.
Configuration and infrastructure changes. Owner: Engineering / DevOps. Timeline: Days to weeks.
| Priority | Finding | Impact | Timeline |
|---|---|---|---|
| #19 | Key commercial content lives only as homepage anchors, not discrete URLs | Medium | 1-3 days |
| #20 | Structured-data (JSON-LD) markup could not be assessed — verify manually | Medium | 1-3 days |
Items requiring manual review before determining if action is needed.
| Priority | Finding | Impact | Timeline |
|---|---|---|---|
| #31 | Client-side rendering status could not be definitively confirmed — spot-check recommended | Low | < 1 day |
| #32 | Meta descriptions and Open Graph tags could not be assessed — verify manually | Low | < 1 day |
| #33 | Sitemap lastmod timestamps are uniformly build-stamped, diluting the freshness signal | Low | < 1 day |
Click any row to expand full issue/fix detail.
Existing pages that need restructuring or deepening. Owner: Content Team. Timeline: Weeks.
The /how-we-measure-geo/ page stops at visibility metrics (mention rate, citation frequency, SOV) without connecting them to downstream business outcomes (pipeline influenced, deals sourced from AI citations, CAC reduction) that VPs and CEOs evaluate. The resonatelabs.co/ homepage references the Insynctive case study result (+504% GPTBot traffic) but provides no pipeline impact data alongside the visibility result, making it incompletely useful for executive-level ROI arguments. No page describes a named pipeline attribution methodology for GEO — how Resonate Labs tracks which AI citations led to buyer touchpoints, form fills, or opportunities — the exact gap buyers are researching in these 7 queries.
Queries affected: res_128, res_130, res_133, res_135, res_136, res_138, res_146
The resonatelabs.co/ homepage has no content addressing 'who switches to Resonate Labs and why' — buyers who have been burned by named competitors (Discovered Labs, Animalz, Omniscient Digital) find no switching narrative that validates their experience and positions Resonate Labs as a better fit. The /partners/ page does not contain switching context framing — no 'if you're leaving [competitor type], here's what's different' language that Shortlisting buyers use when they are replacing a vendor. No page addresses 'what typically goes wrong with GEO retainers' — a question buyers ask when reconsidering Discovered Labs (res_119) that creates a natural opening for Resonate Labs to differentiate on transparency, team enablement, and ROI clarity.
Queries affected: res_044, res_054, res_059, res_066, res_048, res_049, res_055, res_060, res_062, res_063, res_068, res_103, res_104, res_119
The resonatelabs.co/ homepage describes content execution as part of the service but contains no extractable production scope — no page types produced, no monthly output volume, no delivery cadence that buyers can compare against Animalz or Omniscient Digital retainers. The /partners/ page does not describe the content production workflow in terms buyers use when evaluating 'done-for-you' services: who writes, who edits, how drafts are approved, and how pages are shipped. No page on the site addresses the specific buyer concern 'will they actually write and ship the content, or just tell us what to write' — the exact question buyers are asking about Discovered Labs in res_125, which means Resonate Labs has no content to surface as an alternative.
Queries affected: res_047, res_058, res_017, res_009, res_028, res_032, res_039, res_106, res_110, res_125, res_137
The /how-we-measure-geo/ page describes measurement methodology without dedicating a section to competitive share-of-voice tracking — no definition of how competitor mentions are counted, which platforms are tracked, or what the SOV output report includes. The /geo-metrics-glossary/ page defines GEO terms but does not include a 'Share of Voice' entry with a definition of how Resonate Labs measures and reports it, missing the chance to own the definitional framing for this metric. The /how-we-measure-geo/ page has no extractable passage addressing 'how does this service benchmark my brand against competitors in AI answers' — the exact question buyers ask when evaluating competitive benchmarking capabilities.
Queries affected: res_050, res_057, res_064, res_005, res_013, res_024, res_036, res_107, res_115, res_121, res_129, res_135, res_140, res_144
The /visibility/ page positions Resonate Labs without containing the evaluation criteria buyers use to assess any GEO vendor — missing the opportunity to frame the category in terms favorable to Resonate Labs' differentiators. The resonatelabs.co/ homepage has no 'questions to ask a GEO agency' or 'what to require before signing' content that would surface for the 11 requirements-building queries where buyers are building their vendor selection framework. No page contains an extractable framework for evaluating GEO audit quality, measurement methodology, or content execution scope that buyers could use as a checklist — the type of content that wins requirements-building queries.
Queries affected: res_029, res_031, res_032, res_033, res_034, res_036, res_037, res_039, res_040, res_041, res_042
The resonatelabs.co/ homepage positions the service without a section explaining the GEO vs. SEO vs. AEO distinction — buyers at solution exploration stage need this framing before they can evaluate whether they need an agency or a tool. The /partners/ page describes the engagement without addressing the 'build vs. buy' or 'agency vs. tool' decision framework that buyers explicitly use when deciding whether to hire a GEO agency at all. No page on the site contains extractable content on the 'done-for-you vs. done-with-you vs. DIY' tradeoff, missing buyers who are evaluating engagement models rather than specific vendors.
Queries affected: res_014, res_015, res_017, res_018, res_020, res_021, res_022, res_023, res_024, res_026, res_027, res_028
The /how-we-measure-geo/ page does not contain a platform coverage table or list that explicitly names ChatGPT, Claude, Gemini, and Perplexity as audited platforms with per-platform methodology notes — competitors like Profound and Peec AI win these queries with explicit platform enumeration. The /how-we-measure-geo/ page uses general measurement language without a self-contained paragraph AI can extract to answer 'does this service audit all four major AI platforms simultaneously'. The resonatelabs.co/ homepage lacks an explicit '4-platform coverage' claim in extractable form — it is implied by the offering but never stated as a named factual capability.
Queries affected: res_044, res_054, res_059, res_066, res_001, res_002, res_003, res_008, res_013, res_014, res_026, res_029, res_033, res_128, res_136, res_139, res_150
The /visibility/ page positions the Resonate Labs measurement service without containing a self-contained section explaining why B2B SaaS companies lose AI visibility in the first place — buyers at problem identification stage need the problem named before the solution. The resonatelabs.co/ homepage addresses the solution (GEO audit + action plan) without a problem diagnosis section that validates the buyer's experience of being invisible in AI answers despite strong SEO investment. No page contains an extractable passage answering 'what are SaaS teams doing to stay visible as AI overviews take over' — a problem-framing question where Resonate Labs should be the authoritative voice but currently has no citable content.
Queries affected: res_001, res_002, res_003, res_008, res_009, res_004, res_005, res_006, res_010, res_013
The /partners/ page describes the Resonate Labs engagement without any content that a buyer researching 'Discovered Labs complaints' or 'risks of hiring Discovered Labs' could use to discover Resonate Labs as an alternative — missing the highest-traffic switching trigger in the competitive landscape. No page contains content addressing the specific concerns buyers raise about Discovered Labs: dependency risk (res_114), inability to prove pipeline impact (res_111), retainer failure modes (res_119) — the exact pain points where Resonate Labs claims to differ. The resonatelabs.co/ homepage has no content that surfaces when buyers search 'alternatives to Discovered Labs for B2B SaaS GEO' — a direct market opportunity given Discovered Labs' SOV dominance (21.2% share vs. Resonate Labs' 4.5% share).
Queries affected: res_057, res_062, res_103, res_104, res_119, res_114, res_123, res_135, res_140, res_144
The resonatelabs.co homepage describes the audit deliverable but contains zero explanation of how buyer-intent queries are selected, making it structurally identical to keyword-tracker descriptions buyers are trying to move away from. The /brief/ page references the audit process without naming persona-driven query modeling as a distinct methodological differentiator, missing the exact language buyers use when searching ('real buyer questions, not keyword lists'). The homepage has no extractable passage a model can cite in response to 'which audits model actual buyer personas and the questions they ask assistants' — it is marketing prose with no factual methodology claims.
Queries affected: res_012, res_020, res_041, res_055, res_069, res_148
The resonatelabs.co/ homepage describes an 'action plan' as a deliverable but provides no structural description of what the plan contains — no priority tiers, timelines, or ownership framework that buyers can evaluate against competitors. The /visibility/ page positions visibility measurement without connecting it to what happens next (the action plan), missing the 'not just a dashboard' framing that Profound loses these queries on when compared to service providers. No page on the site contains an extractable list of what a Resonate Labs action plan specifically includes, making it impossible for AI to cite Resonate Labs when answering 'what does a good 30-day AI visibility action plan contain'.
Queries affected: res_045, res_062, res_006, res_021, res_031, res_040, res_048, res_130, res_134, res_142, res_145
The /partners/ page describes the Resonate Labs offering without any 'how we compare to alternatives' content that would make it citable when buyers are actively comparing named competitors — AI has no basis to introduce Resonate Labs as an alternative in Comparison queries. No page contains explicit positioning content that names the specific dimensions where Resonate Labs differs from tool-only providers (Profound, Scrunch AI, Peec AI) or from pure content agencies (Animalz, Omniscient Digital, Grizzle) — the two competitor categories that dominate these Comparison queries. The resonatelabs.co/ homepage describes the offering without locating it in the competitive landscape, making it impossible for AI to include Resonate Labs when buyers ask 'which is better for X use case: [Competitor A] or [Competitor B]'.
Queries affected: res_072, res_073, res_075, res_076, res_078, res_083, res_085, res_087, res_089, res_092, res_095, res_096, res_080, res_082, res_088, res_094, res_100, res_102
The /partners/ page describes the Resonate Labs offering without referencing common GEO engagement failure modes that buyers research when validating competitors — missing the opportunity to surface as an alternative when buyers search 'what goes wrong with [competitor]'. No page on the site contains content addressing the 'hidden costs of retainers', 'dependency risks', or 'agency results vs. reporting' concerns that buyers express in competitor Validation queries — the exact framing that would make Resonate Labs citable in these responses. The /partners/ page has no content addressing 'how do you prove the results are real, not just reporting' — the core buyer concern in res_107 (Grizzle GEO results), res_111 (Discovered Labs pipeline attribution), and res_113 (Profound data accuracy).
Queries affected: res_106, res_107, res_108, res_113, res_114, res_115, res_120, res_121, res_122, res_123, res_125, res_110, res_116, res_117, res_119, res_105
The resonatelabs.co/ homepage and /visibility/ page have no RFP guidance content or evaluation framework scaffolding that buyers drafting GEO audit RFPs would find citable — missing a high-intent moment where buyers are actively structuring their selection process. No page contains a structured 30-day GEO action plan framework that buyers could adapt — despite this being exactly what Resonate Labs delivers, there is no inline template content that AI can cite when buyers ask 'draft a 30-day GEO action plan'. The /partners/ page has no vendor evaluation scorecard content that buyers could use when comparing GEO options — missing the artifact-creation moment where Resonate Labs could frame the evaluation criteria in its favor.
Queries affected: res_139, res_142, res_145, res_149, res_150
The /visibility/ page measures GEO performance without connecting it to the ROI and business case language buyers use when justifying GEO spend to leadership — 'pipeline impact', 'payback period', 'cost of invisibility' are absent. The resonatelabs.co/ homepage has a case study result (Insynctive: +504% GPTBot traffic, 5.3x brand visibility lift) buried as an anchor section rather than surfaced as an extractable business case narrative that buyers can use in internal presentations. No page contains content addressing 'what is the ROI argument for investing in AI visibility now versus waiting' — the exact question buyers ask when building the internal justification case (res_128).
Queries affected: res_128, res_129, res_130, res_132, res_133, res_134, res_136, res_137
The resonatelabs.co/ homepage lists deliverables without naming specific content archetypes or page types, making it impossible for AI to cite Resonate Labs when buyers ask 'which GEO services provide reusable page templates'. The /partners/ page describes the engagement scope without mentioning a content deployment SOP or page playbook as a named deliverable, missing the 'repeatable' framing that content teams specifically evaluate. No page on the site contains an extractable list of content archetypes (e.g., Comparison pages, FAQ pages, definition pages, case study pages) that Resonate Labs produces or templates, despite this being a core part of the offering.
Queries affected: res_052, res_063, res_004, res_015, res_023, res_034, res_116, res_147
The resonatelabs.co/ homepage describes a collaborative engagement model without naming specific enablement components (workshops, SOPs, office hours, knowledge transfer sessions) that distinguish a 'done-with-you' model from a 'done-for-you' retainer. The /partners/ page does not address the buyer concern 'will this agency leave my team dependent or capable?' — the exact tension buyers express in these queries — with any named capability transfer deliverable. No page contains an extractable description of what team enablement looks like in a Resonate Labs engagement: frequency of knowledge transfer sessions, what team members are trained on, or what internal capability the client has after the engagement.
Queries affected: res_018, res_027, res_037, res_049, res_060, res_132, res_149
The /how-we-measure-geo/ page describes how GEO is measured but does not specify an audit refresh cadence (monthly, quarterly) or explain how results are tracked over time — making it impossible for AI to cite Resonate Labs when buyers ask about 'recurring audits to track AI visibility trends'. The /partners/ page describes the engagement without naming a 'recurring monitoring' or 'trend tracking' component, missing the buyers who are specifically evaluating ongoing vs. one-time services. The /how-we-measure-geo/ page has no section on period-over-period Comparison methodology — how visibility trends are detected, what a change in AI answers looks like in the reporting, and how Resonate Labs distinguishes signal from noise in recurring data.
Queries affected: res_056, res_022, res_010, res_042, res_089, res_117, res_133, res_146
Net new content addressing visibility and positioning gaps. Owner: Content Strategy. Timeline: Months.
Decision-makers — VP of Marketing and Founder/CEO — are asking AI assistants how to justify GEO spend to CFOs and investors, yet Resonate Labs never surfaces in any of these 14 queries. This is the highest-stakes buying-job cluster because pipeline attribution is the primary objection-handling moment in a GEO purchase. Competitors who publish concrete attribution frameworks and case study numbers (Discovered Labs wins res_086 and res_111 explicitly on this dimension) are filling the vacuum. Without owned content that maps AI citation growth to qualified pipeline, Resonate Labs will continue losing these high-value conversations to rivals who have documented the ROI story.
Perplexity (high): Perplexity returns 13–15 citations per pipeline-attribution query, drawing heavily from editorial and research sources. Resonate Labs is invisible in all of them, suggesting high receptivity to new authoritative content if published at sufficient depth. ChatGPT (high): ChatGPT cites resonatelabs.co in 12 existing visible queries, confirming the domain is indexed and trusted; extending that coverage to pipeline-attribution pages is a depth problem, not a domain-trust problem. Claude (medium): Claude shows 0–4 citations per pipeline-attribution query and is the most conservative with vendor recommendations; structured methodology content with explicit attribution frameworks is the format most likely to earn Claude citations. Gemini (medium): Gemini visibility is 3pp lower than other platforms overall and returns 0–9 citations on these queries; schema markup (currently unverifiable per L1) would improve Gemini's structured extraction from attribution content.
SEO leads and demand gen directors — the evaluators who typically own the technical GEO brief — are asking AI assistants specifically how to identify which sources AI cites and how to fix inaccurate product descriptions. Resonate Labs has a 'Citation & Source Attribution Analysis' feature and a how-we-measure-geo page, yet earns zero mentions in these queries because the content is too thin to be cited. Competitors like Peec AI, Profound, and Scrunch own this space by publishing detailed source-methodology content. Winning these queries would also directly address the three positioning gaps (res_086, res_093) where Resonate Labs loses to Discovered Labs specifically on citation analysis depth.
Perplexity (high): Perplexity returns 10–15 citations per citation-source query and heavily favors technical and editorial sources. New structured content explaining AI citation mechanics would match Perplexity's citation affinity for methodology-rich pages. ChatGPT (high): ChatGPT cites resonatelabs.co in existing Comparison queries, confirming domain trust. Citation-source-analysis content would extend that trust to a feature dimension where ChatGPT currently cites Peec AI and Profound instead. Claude (medium): Claude returns 3–8 citations on these queries and favors technically precise, well-sourced content. A methodology deep-dive with explicit attribution to audit data would be the format most likely to earn Claude's cautious citation behavior. Gemini (low): Gemini shows 0 citations on several citation-source queries (res_061: 5 citations total, res_046: 6) and has the lowest overall visibility delta of -3pp. Schema markup improvements noted in L1 would be prerequisite to improving Gemini receptivity here.
SEO leads evaluating how to move from one-off audits to ongoing AI visibility programs are consistently landing on Peec AI, Profound, and Scrunch in AI answers while Resonate Labs never appears. This is a structural product-narrative gap: Resonate Labs' recurring audit and trend-tracking capability (flagged as 'moderate' coverage in the taxonomy) is not surfaced as owned content that AI engines can cite. Given that 61 queries across the audit had no AI coverage at all — meaning buyers are searching without finding any vendor — continuous monitoring content would capture greenfield demand, not just competitive share.
Perplexity (high): Perplexity returns 12–15 citations on continuous monitoring queries and is the only platform where Resonate Labs earns any wins in the existing visible query set (win rate 69.2%). New monitoring-focused content would leverage this existing Perplexity affinity. ChatGPT (medium): ChatGPT shows 4–11 citations per monitoring query but currently routes all of these to Peec AI and Profound; the domain is trusted by ChatGPT (12 visible queries) so depth-adding content could shift citation behavior. Gemini (low): Gemini shows the widest platform gap (-3pp overall) and 0–13 citations on monitoring queries with no Resonate Labs presence; schema and structured data improvements are prerequisite here. Claude (medium): Claude returns 2–8 citations on monitoring queries; methodology-first content with clear requirements-building framing matches Claude's observed citation preference for structured, criteria-based content.
The Comparison buying job is the highest-visibility stage in Resonate Labs' current data — 36% visibility rate and 75% win rate, the best metrics in the audit — yet this performance is built entirely on general pages, not purpose-built Comparison content. Three queries explicitly name Resonate Labs in a Comparison (res_086, res_093, res_097) and all lose to Discovered Labs because no owned Comparison page exists to anchor the narrative. The 15 additional competitor-vs-competitor Comparison queries (e.g., Omniscient Digital vs Animalz, Grizzle vs Position Digital) represent switching-buyer traffic that Resonate Labs could intercept if it owned the 'alternatives' and 'vs.' content format. Building a Comparison content hub would be the highest-leverage extension of Resonate Labs' existing Comparison-stage strength.
ChatGPT (high): ChatGPT already achieves 36% visibility in Comparison queries — the highest of any buying job — confirming strong domain affinity for this query type. Comparison pages with explicit structured data would deepen citation frequency. Perplexity (high): Perplexity returns 11–26 citations per Comparison query and Resonate Labs wins 8 Comparison queries on Perplexity (win rate 66.7%). Dedicated Comparison URLs would multiply Perplexity's already-demonstrated citation behavior. Claude (medium): Claude achieves 33% visibility in Comparison queries (lower than ChatGPT and Perplexity) and currently cites Resonate Labs in 11 Comparison queries; structured Comparison pages with clear decision criteria match Claude's observed preference for criteria-based content. Gemini (low): Gemini achieves only 24% visibility in Comparison queries vs. 36% for ChatGPT, and wins only 2 of 8 Comparison queries — the weakest platform performance in this buying job. Schema markup is the primary lever to improve Gemini Comparison-query performance.
Buyers explicitly comparing Discovered Labs to Resonate Labs — a direct switching signal — consistently receive an AI answer that recommends Discovered Labs first. In res_086, Discovered Labs wins on pipeline attribution evidence; in res_093, on citation analysis depth; in res_097, on 'full outsourcing' fit for lean startups. Each loss maps to a specific content deficit: no public pipeline attribution methodology, no deep citation analysis documentation, and no owned narrative about when Resonate Labs is the right fit vs. a full-outsource agency. These three queries are the most commercially dangerous in the audit because they represent buyers who are already aware of Resonate Labs and considering a switch — the warmest possible pipeline — yet AI answers are redirecting them to the competitor.
ChatGPT (high): ChatGPT cites resonatelabs.co in res_086 (6 citations) and res_097 (4 citations) — the domain is recognized and cited but ranked second. New dedicated Comparison content would give ChatGPT a stronger anchor to elevate Resonate Labs to primary recommendation. Perplexity (high): Perplexity returns 13 citations in all three positioning-gap queries and Resonate Labs is cited but loses; Perplexity's 69.2% win rate for Resonate Labs overall suggests that deeper, more specific Comparison content would shift the win outcome on this platform first. Claude (medium): Claude shows 2–5 citations in these queries; Claude's conservative citation behavior means a well-structured Comparison page with explicit decision criteria would be more effective than a general positioning piece. Gemini (low): Gemini returns 4–5 citations in the positioning gap queries and shows 0 wins for Resonate Labs in Comparison queries overall; schema markup is a prerequisite improvement before expecting Gemini to shift Comparison-query outcomes.
All recommendations across all three layers, ranked by commercial impact × implementation speed.
In all 3 direct Resonate Labs vs. Discovered Labs Comparison queries (res_086, res_093, res_097), Resonate Labs is present but loses — positioned as 'strong secondary' while Discovered Labs is recommended first. These positioning gaps are the only queries where Resonate Labs is named and still fails to win, representing the highest-leverage positioning fix in the audit.
Resonate Labs is invisible across 14 queries where buyers seek to connect AI visibility work to pipeline and revenue outcomes. No dedicated pipeline-attribution content exists (coverage_status='thin' across all Pipeline & Revenue Attribution Reporting queries routed to L3), leaving a critical commercial signal absent from AI training and citation pools.
The /how-we-measure-geo/ page stops at visibility metrics (mention rate, citation frequency, SOV) without connecting them to downstream business outcomes (pipeline influenced, deals sourced from AI citations, CAC reduction) that VPs and CEOs evaluate.
Resonate Labs is invisible or weakly present across 10 queries where buyers investigate how AI citations are sourced and how to correct inaccurate AI product descriptions. Coverage is 'thin' for Citation & Source Attribution Analysis across all routed L3 queries, meaning existing pages mention the topic but lack sufficient depth to earn AI citations.
Resonate Labs is routed to L3 for 18 Comparison-buying-job queries (all with AFFINITY OVERRIDE: buying_job='Comparison' requires page types ['Comparison'] but found none) where the site has no dedicated Comparison pages. Buyers doing direct vendor comparisons — including 3 queries that explicitly name Resonate Labs — find no owned Comparison content and default to competitor-authored narratives.
Resonate Labs is entirely absent from 8 queries (coverage_status='missing' for Continuous / Real-Time AI Visibility Tracking across all L3-routed queries) where buyers evaluate tools and approaches for ongoing AI visibility monitoring. No page in the current inventory addresses continuous monitoring with sufficient depth to earn a citation.
The resonatelabs.co/ homepage has no content addressing 'who switches to Resonate Labs and why' — buyers who have been burned by named competitors (Discovered Labs, Animalz, Omniscient Digital) find no switching narrative that validates their experience and positions Resonate Labs as a better fit.
The resonatelabs.co/ homepage describes content execution as part of the service but contains no extractable production scope — no page types produced, no monthly output volume, no delivery cadence that buyers can compare against Animalz or Omniscient Digital retainers.
The /how-we-measure-geo/ page describes measurement methodology without dedicating a section to competitive share-of-voice tracking — no definition of how competitor mentions are counted, which platforms are tracked, or what the SOV output report includes.
The /visibility/ page positions Resonate Labs without containing the evaluation criteria buyers use to assess any GEO vendor — missing the opportunity to frame the category in terms favorable to Resonate Labs' differentiators.
The resonatelabs.co/ homepage positions the service without a section explaining the GEO vs. SEO vs. AEO distinction — buyers at solution exploration stage need this framing before they can evaluate whether they need an agency or a tool.
The /how-we-measure-geo/ page does not contain a platform coverage table or list that explicitly names ChatGPT, Claude, Gemini, and Perplexity as audited platforms with per-platform methodology notes — competitors like Profound and Peec AI win these queries with explicit platform enumeration.
The /visibility/ page positions the Resonate Labs measurement service without containing a self-contained section explaining why B2B SaaS companies lose AI visibility in the first place — buyers at problem identification stage need the problem named before the solution.
The /partners/ page describes the Resonate Labs engagement without any content that a buyer researching 'Discovered Labs complaints' or 'risks of hiring Discovered Labs' could use to discover Resonate Labs as an alternative — missing the highest-traffic switching trigger in the competitive landscape.
The resonatelabs.co homepage describes the audit deliverable but contains zero explanation of how buyer-intent queries are selected, making it structurally identical to keyword-tracker descriptions buyers are trying to move away from.
The resonatelabs.co/ homepage describes an 'action plan' as a deliverable but provides no structural description of what the plan contains — no priority tiers, timelines, or ownership framework that buyers can evaluate against competitors.
The /partners/ page describes the Resonate Labs offering without any 'how we compare to alternatives' content that would make it citable when buyers are actively comparing named competitors — AI has no basis to introduce Resonate Labs as an alternative in Comparison queries.
The /partners/ page describes the Resonate Labs offering without referencing common GEO engagement failure modes that buyers research when validating competitors — missing the opportunity to surface as an alternative when buyers search 'what goes wrong with [competitor]'.
The primary navigation and footer link to high-value commercial content — "What You Get", "How It Works", the Insynctive case study, and Pricing — as in-page anchors on the homepage (/#system, /#how-it-works, /#case-study, /#pricing). The sitemap confirms these exist only as homepage sections: the full crawlable inventory is 9 URLs, with no standalone /case-study, /pricing, or /how-it-works page.
Our analysis fetches rendered page content as markdown, which strips JSON-LD / structured-data blocks. We could not confirm whether schema markup (Organization, Article, FAQPage, Product, DefinedTerm) is present on any page.
The resonatelabs.co/ homepage and /visibility/ page have no RFP guidance content or evaluation framework scaffolding that buyers drafting GEO audit RFPs would find citable — missing a high-intent moment where buyers are actively structuring their selection process.
The /visibility/ page measures GEO performance without connecting it to the ROI and business case language buyers use when justifying GEO spend to leadership — 'pipeline impact', 'payback period', 'cost of invisibility' are absent.
The resonatelabs.co/ homepage lists deliverables without naming specific content archetypes or page types, making it impossible for AI to cite Resonate Labs when buyers ask 'which GEO services provide reusable page templates'.
The resonatelabs.co/ homepage describes a collaborative engagement model without naming specific enablement components (workshops, SOPs, office hours, knowledge transfer sessions) that distinguish a 'done-with-you' model from a 'done-for-you' retainer.
The /how-we-measure-geo/ page describes how GEO is measured but does not specify an audit refresh cadence (monthly, quarterly) or explain how results are tracked over time — making it impossible for AI to cite Resonate Labs when buyers ask about 'recurring audits to track AI visibility trends'.
All nine pages returned full body content via rendered fetch, which suggests server-side or static rendering. However, our method cannot definitively confirm the rendering mode or detect content that only appears after JavaScript execution.
Rendered-markdown fetch does not expose <meta name="description"> or Open Graph / Twitter Card tags, so we could not assess whether they are present, unique, or well-formed across the site.
Every URL in sitemap.xml carries an identical lastmod of 2026-06-02, including pages whose on-page "Updated" date differs (the Partner Program page shows "Last updated May 30, 2026"). This pattern indicates lastmod is stamped at build/deploy time rather than reflecting each page's true last-modification date.
All three workstreams can start this week.
[Data] 29 total recommendations: 6 L1 (2 technical fixes + 3 verification checks), 18 L2 content optimizations addressing 91 gap queries, 5 L3 new content recommendations addressing 50 gap queries. L1 includes promoting anchor-only commercial content to discrete URLs and fixing build-stamped sitemap lastmod. L3 targets pipeline attribution and citation source analysis — both rated thin or missing in coverage assessment.
[Synthesis] The 29 recommendations execute in strict dependency order. L1 first: promoting the case study and pricing pages to discrete indexable URLs directly unblocks citation potential for the client's strongest proof points, and correcting sitemap lastmod ensures recrawl prioritization reflects actual content changes. L2 follows, deepening the 91 queries where existing pages are assessed as covered but insufficiently extractable.
L3 last, creating new content for the 50 queries — concentrated in pipeline attribution and continuous monitoring — where no sufficient page currently exists and competitors win by default.