AI search is reshaping how VC-backed B2B tech and AI companies find their brand awareness agency — the firms that establish citation visibility now lock in a structural advantage before the category catches up. Before we run the audit, we need to make sure we're asking the right questions about the right competitors to the right buyers. This document presents what we've learned about Firebrand's market — your job is to tell us what we got right, what we got wrong, and what we missed.
Before the audit measures citation visibility in the B2B tech agency space, these three signals tell us whether AI crawlers can access, trust, and extract Firebrand's content at all.
AI search is changing how VC-backed B2B tech and AI companies discover and evaluate the agencies they hire — the same buyers who once googled "tech PR firm" now ask ChatGPT and Perplexity who to shortlist. For an agency that sells GEO services, being visibly cited in those answers is not just a growth channel; it is the product demo. Early citations compound: AI platforms learn to trust the domains they already cite, which means the agencies establishing visibility now are building an advantage that late movers will have to buy back at a premium.
This document presents the three foundations the audit runs on: the competitive landscape that determines which head-to-head matchups get tested, the buyer personas that determine how queries are phrased and staged, and the Layer 1 technical baseline that determines whether AI platforms can access and extract Firebrand's content in the first place. Each section presents what we found, flags where our confidence is lower, and asks the specific questions only you can answer. This is what we're validating together before a single query runs.
The validation call is a decision-making session, not a readout. Two kinds of decisions get made there: input validation — are the right competitors in the right tiers, and are the right buyers in the room when your clients pick an agency? — and engineering triage — which technical fixes start now, before results come back. What you confirm or correct directly shapes which queries the audit spends its budget on. The specific items are in the TL;DR below and the Pre-Call Checklist at the end.
What this document is Everything below — competitors, buyer personas, capabilities, pain points — becomes the raw material for the buyer queries we run across AI platforms. It reflects outside-in research into the brand awareness agency market for B2B tech and AI companies: Firebrand's own site and comparison page, independent 2026 agency roundups, and industry press. If an input is wrong here, the audit measures the wrong thing.
What we need from you Read with a red pen. For each section: confirm what's right, correct what's wrong, and add what's missing. The purple boxes throughout mark the specific judgment calls where your answer changes how the audit is built — they're collected into a single checklist at the end.
How to read confidence badges High means the item comes from direct evidence — your published pages or 3+ independent sources. Medium means it was inferred from category patterns or positioning gaps and needs your validation. Medium-confidence items are exactly where your input matters most.
This profile anchors every query in the audit — the category phrasing below is what we test against how AI platforms actually describe you.
Validate Firebrand's surface spans two distinct shortlists: buyers searching for a "tech PR agency" and buyers searching for an "integrated digital marketing agency" — which conversation do you actually get pulled into, or is it both? If both, we split the query set into a PR-agency cluster and an integrated-agency cluster and weight them by where your revenue actually comes from.
5 personas: 2 decision-makers, 1 evaluator, 2 influencers — each drives a distinct cluster of buyer queries in the audit.
Critical review area Personas determine how every audit query is phrased and staged. A wrong role, a missing decision-maker, or an overstated influencer skews the entire query set — this section deserves your closest read.
Data sourcing note Role, seniority, influence level, veto power, and technical level come directly from the knowledge graph — sourced from your site's testimonial and case study contacts or inferred from client-stage patterns (marked by confidence badge). Role descriptions, buying jobs, and query focus areas are synthesized from those fields to show how each persona would search — treat them as hypotheses to correct.
→ When a CMO is in seat, does she run the agency evaluation herself or delegate to a Head-of-Marketing level and only approve? If she delegates, her queries shift from evaluation-stage comparisons to validation-stage proof-of-results.
→ At your typical client stage, is the founder still the one selecting the agency, or has that fully shifted to the first marketing hire? If founders are out of the committee, we drop this query set and reallocate it to marketing-leader search language.
→ At CMO-less clients, is the Head of Marketing effectively the decision-maker with a CEO rubber-stamp? If yes, we promote her queries to decision-stage and shrink the CMO set accordingly.
→ Does a dedicated corp comms director exist at your typical Series A–B client, or only at the Series C+ end of your range? If late-stage only, we weight his announcement-strategy queries toward the enterprise end of the query set.
→ Does demand gen actually sit in the evaluation for brand/PR retainers, or only when paid media is in scope? If paid-only, her cluster narrows to ABM and paid-search queries.
Missing personas? These roles sometimes appear in agency deals for VC-backed B2B tech companies — do they show up in yours? VP/Head of Growth (if growth owns the paid budget, they may drive the ABM/paid evaluation instead of demand gen); VC or investor marketing partner (portfolio intros often decide seed-stage agency selection before any search happens); Product Marketing lead (if positioning and messaging work is a distinct buying conversation from press coverage). Who else is in the room when your clients pick an agency?
6 primary + 4 secondary competitors identified — tier assignments determine which rivals the audit tests you against head-to-head.
Why tiers matter With 6 primary competitors, roughly 36–48 queries (6–8 per rival) will test direct matchups — "Firebrand vs. Walker Sands," "Zen Media alternatives," "best PR agency for AI startups" shortlists — while secondary competitors appear only in category-awareness queries. We're less certain about Crackle PR's primary tier (medium confidence, sourced from category listings rather than your own comparison page): if they rarely appear in real pitches, moving them to secondary shifts ~6–8 queries out of the head-to-head set.
Validate The load-bearing question: in actual pitches, do you lose to GEO-native boutiques like Zen Media and Crackle PR, or to bigger integrated firms like Walker Sands and Highwire PR? Whichever set is your real head-to-head gets the deepest query coverage. Also: Crackle PR (primary) and BLASTmedia / 10Fold (secondary) carry medium-confidence tiers — do they actually appear in your deals? And who's missing — is there a rival you keep meeting in pitches that no roundup lists?
12 buyer-level capabilities mapped: 6 rated strong, 4 moderate, 2 weak — these determine which capability queries the audit tests.
Get our company covered in the tech and business press that our buyers and investors actually read
Make sure ChatGPT, Perplexity, and Google AI Overviews mention and cite our company when buyers ask for solutions in our category
Grow organic search traffic with content that ranks for the terms our buyers search
Turn our funding round or product launch into a momentum moment with real coverage, not a press release nobody picks up
Build our founders and executives into recognized voices through LinkedIn, bylines, newsletters, and speaking slots
Work with an agency that already understands our AI category so we don't spend three months educating them
Run paid search and social campaigns that reach our target accounts without wasting budget
Get us on the radar of Gartner, Forrester, and the analysts our enterprise buyers consult before shortlisting vendors
Show me the numbers that prove marketing and PR spend is moving pipeline, not just impressions and reach
Give us a bold campaign idea and the hero assets and video to stand out, not just another blog cadence
Support our expansion with PR and campaigns across Europe and APAC, not just the US
Guide us through an IPO, acquisition, layoff, or reputation crisis with experienced counsel
Prioritization needed Six capabilities are rated Strong: Earned Media & Press Coverage, GEO / AI Search Visibility, SEO Strategy & Content Creation, Funding & Launch Announcements, Executive Visibility & Thought Leadership, and AI & Deep Tech Category Fluency. The audit tests all 12 capabilities, but competitive differentiation queries will emphasize 3. Which of these best represents where Firebrand wins deals?
Validate Is Paid Media & Account-Based Advertising a strength you win engagements on, or a supporting service? We rated it moderate from your site — if it's a genuine differentiator we add competitive paid-media queries; if it's supporting, those queries would overstate exposure where you don't compete. The Analyst Relations, International Coverage, and Crisis Comms ratings are inferred from positioning gaps versus Racepoint, Hotwire, and SHIFT rather than direct evidence — correct any of them. And are SEO Strategy & Content and GEO / AI Search Visibility one buying conversation for your clients or two distinct ones? If one, we merge their query clusters.
10 pain points: 6 high, 4 medium severity — the buyer language below is how audit queries will actually be phrased.
Validate Three checks. First, severity: we rated "No credible agency between $5K and $25K/month" medium, but your own comparison page leads with the $10–20K band — if this is the objection you win deals on most often, it should be high and get more queries. Second, language: because agencies have no G2 presence, these quotes were sourced from industry press and your own anti-positioning rather than reviews of Firebrand — do they sound like your actual prospects? Third, what's missing: pains that sometimes appear in agency deals include sporadic coverage between funding moments ("we only get press when we announce something"), account-team turnover mid-retainer, and slow content approval loops — do any of these show up in yours?
9 findings from the technical baseline of firebrand.marketing: 2 high, 4 medium, 3 low severity — 6 diagnostic findings plus 3 items needing manual verification.
Actionable now No critical blockers — robots.txt allows all 7 AI crawlers we checked, which is a healthy baseline. But engineering should start on two items immediately: server-rendering the JavaScript-animated stat values on the homepage and 5 other commercial pages (your strongest proof points currently render as empty "%" fragments to non-JS crawlers), and cleaning ~25 legacy, test, and utility URLs out of the sitemap, including 3 live lorem-ipsum placeholder pages. The content team owns the third priority: a refresh rotation for the 6 solutions pages and audit pages that are 13 months to 3 years stale.
What we found: Across at least six commercial pages, the numeric values of headline statistics are absent from the rendered text output that crawlers receive. The homepage "Metrics that matter" section shows "% increase in sessions from AI search" and "% increase in organic search clicks" with no numbers; /brand-awareness-services/ renders stat headings as fragments ("of buyers have a shortlist of three vendors…"); the GEO services page, account-based advertising page, thought leadership page, and brand awareness content page all show "%" placeholders where values should be. This pattern is consistent with JavaScript-animated counter widgets that inject the number client-side.
Why it matters: These statistics are Firebrand's own proof points — exactly the kind of specific, citable claims LLMs extract when answering "best agency" and "does X agency get results" queries. If the numbers are injected by JavaScript animation, text-based AI crawlers (GPTBot, ClaudeBot, PerplexityBot do not execute JavaScript) see empty "%" fragments instead of "650% increase in sessions from AI search." The site loses its strongest evidence in the channel it sells services for.
Recommended fix: Server-render the numeric values inside the stat elements (the animation can still run on top of a real number in the DOM). Verify by fetching each page with JavaScript disabled or curl and confirming the numbers appear in the HTML text.
What we found: All six /solutions/ landing pages (announce funding, build brand awareness, generate leads, reduce CPL, launch product, be found online) have sitemap lastmod of 2025-07-18 — 13 months before this analysis. /audits/ was last modified 2024-09-10, /multiplier-marketing/ 2023-03-31, the content marketing audit 2023-08-25, SEO audit 2023-09-30, martech configuration 2023-08-28, and email marketing services 2025-07-21. The eight case studies in the current library were last touched July–August 2025 (~12 months old).
Why it matters: The solutions pages target Firebrand's core commercial queries ("how to announce startup funding," "how to build brand awareness"). AI engines weight freshness heavily — ConvertMate found 76.4% of ChatGPT's most-cited pages were updated within 30 days, and Ahrefs measured AI-cited content as 25.7% fresher on average than traditional organic results (August 2025). A 13-month-old page competing for these queries is outside the dominant citation window; a 3-year-old Multiplier Marketing page undercuts the flagship methodology.
Recommended fix: Establish a refresh rotation for the six solutions pages, the Multiplier Marketing page, and the audit pages: update statistics, add 2026-current examples, and surface a visible "Updated" date. Refresh the case study library with recent client results (newer 2026 case studies exist but the eight most-linked ones are ~12 months old).
What we found: The page sitemap (125 URLs) includes 14 "old-*" archived page copies (old-pr-agency, old-why-firebrand, old-blog, etc., lastmod 2021), a 2018 homepage variant (/home-nov-2018/), ~10 legacy job postings from 2016–2019, WooCommerce utility pages (/cart/, /checkout/), and /solutions/ which 301-redirects to the homepage. The sitemap index also publishes a test-post-type-sitemap.xml containing three literal lorem-ipsum placeholder pages (lastmod January 2026).
Why it matters: Sitemaps are the primary discovery signal for AI crawlers. Roughly 25 of 125 page-sitemap entries point at stale duplicates, redirects, or placeholder content. This wastes crawl budget under a 10-second crawl-delay, risks LLMs ingesting 2021-era "old-*" copies of service pages as current information about the agency, and lorem-ipsum test pages are indexable.
Recommended fix: Exclude the old-*, home-nov-2018, join-* (filled roles), cart/checkout, and redirecting URLs from the Yoast sitemap; noindex or delete the old-* copies and the test post type; remove test-post-type-sitemap.xml from the sitemap index (disable the custom post type's sitemap in Yoast settings).
What we found: Several commercial pages have broken or non-descriptive top-level headings: /content-marketing-agency/ renders H1 "Firebrand is a B2B content marketing agency for AI companies Brands" (malformed concatenation); /audits/ H1 is the truncated fragment "Get a Roadmap to"; the Perceptyx case study H1 is the generic "PR Case Study"; /digital-marketing-services/ repeats its H1 text as a duplicate H2 and repeats service H3 blocks twice; the Acuvity and Amount case studies use result statistics as H3 headings.
Why it matters: H1s are the strongest single passage-labeling signal LLMs use to determine what a page is about and whether to cite it. A case study titled "PR Case Study" with no client or outcome in the heading is far less likely to be retrieved for "B2B tech PR agency results" queries than one titled with the client and result. Malformed H1s also read as quality signals in AI summaries of the brand.
Recommended fix: Rewrite H1s as complete descriptive noun phrases (e.g., "Perceptyx PR Case Study: #1 Share of Voice in Future-of-Work Media"). Fix the truncated /audits/ H1 and the "companies Brands" concatenation. Deduplicate the repeated heading blocks on /digital-marketing-services/ and demote stat callouts from H3 to styled paragraph text.
What we found: robots.txt includes "Crawl-delay: 10" under "User-agent: *". All seven AI crawlers checked (GPTBot, ChatGPT-User, ClaudeBot, PerplexityBot, Google-Extended, Googlebot, Bytespider) are otherwise allowed; only WooCommerce utility paths and /wp-admin/ are disallowed.
Why it matters: Googlebot and most AI crawlers ignore crawl-delay, but crawlers that honor it (e.g., Bingbot, which feeds ChatGPT search and Copilot) are throttled to ~8,640 pages/day. Combined with ~25 wasted legacy URLs in the sitemap, this slows recrawl of updated content. Not blocking, but worth an explicit decision.
Recommended fix: Remove the Crawl-delay directive (or scope it to specific problem bots). Server capacity for a marketing site of this size does not warrant throttling the crawlers that feed AI search indexes.
What we found: The main nav "Solutions" menu item links to /solutions/, which 301-redirects to the homepage. The footer "Digital Marketing" quick link points to /digital-marketing-agency/, which 301s to /digital-marketing-services/. The sitemap also lists the redirecting /solutions/ URL. The legacy /pr-services/ page (last updated Sept 2024) remains live and indexable as a near-duplicate of /pr-agency/ but is not linked from the navigation.
Why it matters: Redirect hops in primary navigation dilute link equity and waste crawl requests under the 10s crawl-delay; a live orphaned duplicate of the PR services page risks LLMs retrieving the outdated version (no pricing, older positioning) instead of the current /pr-agency/ page.
Recommended fix: Point the nav Solutions item at a real hub page (or directly at the top solution page), update the footer link to /digital-marketing-services/, remove /solutions/ from the sitemap, and 301 /pr-services/ to /pr-agency/.
The following items could not be assessed through our analysis method (rendered markdown). We recommend your engineering team verify these manually before the validation call.
What to check: The /case-studies/ hub returned only ~320 words with no H2/H3 headings — just sector/tactic filter labels and no case study titles, client names, or links in the rendered text. The individual case study pages render fine, but the hub's listing grid appears to be populated client-side. If the grid requires JavaScript, non-JS AI crawlers see an empty hub and lose the primary internal-link path to all ~36 case study pages.
Recommended action: Load /case-studies/ with JavaScript disabled (or curl the HTML) and check whether the case study cards and their links are present in the initial HTML. If not, server-render the default (unfiltered) listing and let the filters enhance progressively.
What to check: Analysis was performed on rendered markdown, in which JSON-LD blocks are not visible — schema coverage could not be assessed for any of the 50 inventoried pages. The site runs WordPress with Yoast SEO, which typically emits Organization/WebPage/Article schema by default, but page-appropriate types (FAQPage on the FAQ-heavy service pages — 10+ Q&A pairs on the GEO, PPC, thought leadership, and solutions pages — Article with dateModified on posts, Service, Review/AggregateRating on testimonials) cannot be confirmed.
Recommended action: Run the key commercial pages through Google's Rich Results Test or Screaming Frog's structured data report. Confirm FAQPage schema on FAQ sections, Article + dateModified on blog posts, and Service schema on service pages; add what's missing via Yoast blocks.
What to check: Rendered markdown output does not include head metadata, so meta descriptions, Open Graph tags, and canonical URLs could not be assessed for any inventoried page. These influence snippet quality in the results AI engines retrieve from — secondary but real signals for a brand selling visibility services.
Recommended action: Spot-check key commercial pages with a social preview tool or view-source; confirm Yoast meta descriptions are hand-written (not auto-truncated) on the 25 product/service pages and that canonicals resolve to the www host.
Sample note The analysis covered the 50-page commercial inventory out of 125 sitemap URLs — roughly 25 of the remainder are the legacy "old-*", test, and utility URLs flagged in the sitemap finding, and most others are blog archive pages. Schema coverage is unscored across all 50 pages pending the manual verification above.
Why now
• AI search adoption is accelerating — 94% of B2B buyers now use LLMs during the buying process (6sense, November 2025), and agency discovery is shifting with them.
• Early citations compound: domains AI platforms learn to trust now get cited more frequently as those platforms accumulate evidence.
• Two of your primary competitors — Zen Media and Crackle PR — are already selling GEO programs of their own; rivals who establish AI-search visibility first create a structural disadvantage for late movers.
• The B2B tech agency category is still early-innings in GEO — acting now means competing against inaction, not against entrenched strategies.
The full audit will measure whether Firebrand appears when buyers ask AI platforms the questions your clients actually type — "best PR agency for AI startups," "how to announce startup funding," "agency that can connect PR spend to pipeline." You'll see exactly which queries return Walker Sands, Zen Media, or Bospar but not Firebrand — and what separates the pages that get cited from yours. Fixing the technical items below first — server-rendered proof stats, a clean sitemap — improves the baseline before we measure it.
45–60 minutes. We walk through this document together — you confirm, correct, and fill gaps. The Pre-Call Checklist below is the agenda.
The validated inputs drive buyer queries across the selected AI platforms — phrased in your buyers' language, staged by persona and buying job.
Visibility analysis, competitive positioning by platform, and a three-layer action plan prioritized by which gaps actually cost you citations.
Start now — no call required Three engineering items don't depend on the rest of the audit and will improve your baseline visibility before we even measure it: (1) server-render the stat values on the homepage, /brand-awareness-services/, GEO services, ABM, thought leadership, and brand awareness content pages — then verify with a JavaScript-disabled fetch; (2) clean the sitemap — drop the ~25 old-*/job-post/cart/redirect URLs and remove test-post-type-sitemap.xml with its 3 lorem-ipsum pages; (3) remove the 10-second crawl-delay and fix the nav/footer redirect links, including 301-ing the orphaned /pr-services/ duplicate to /pr-agency/.
Two jobs before we meet. The questions on the left require your judgment — no one knows your business better than you. The engineering tasks on the right don't require the call at all.