Score how AI models cite, surface, and resolve your brand across seven measurable categories
A two-week diagnostic that measures the citability of your brand across the AI search surface (Google AI Overviews, ChatGPT, Perplexity, Gemini, and Bing Copilot) on seven weighted categories, and produces an 18 to 24 page report that names every gap and prescribes a 30-day remediation plan.
2 weeks
Two weeks remote, with one optional executive review session.
7 categories
Citability, brand authority, content E-E-A-T, technical GEO, schema and structured data, platform optimization, and a weighted composite.
One Report
A defensible 18 to 24 page report that an executive can take to a board, not a Notion page or a slide deck.
Vendor-neutral, no platform sales
01 · The problem
Brands with strong press coverage often remain invisible inside AI search
Most enterprise brands assume that being known in their category translates into being cited by ChatGPT, Claude, Perplexity, Gemini, and Bing Copilot, but the brand is often recognised while the brand’s own pages remain unscored against the patterns AI models pull from. The result is a slow, invisible pipeline leak: informational queries that used to drive organic clicks now end inside an AI summary that cites a competitor.
In practice the hero copy reads as a slogan rather than a quotable definition, the executive bios are directory stubs without schema, the sustainability page hides every number behind a downloadable PDF, and nothing on the site has been scored against how AI models choose what to cite, which is precisely the gap the GEO Audit measures across two weeks of structured analysis.
02 · Should you take this audit?
Five qualifying questions.
If three or more generate genuine discomfort, the audit is the right next step.
When ChatGPT or Perplexity is asked about your category,
does it cite you, your competitor, or neither?
Has your organic traffic from informational queries declined since AI Overviews rolled out,
and do you know which queries lost?
Does your site emit structured data that lets AI cite you with attribution,
or does it serve mostly slogan H1s and PDF-locked stats?
Are your CEO, CMO and principal practitioners discoverable as named entities,
or only as faces on a team page?
If a journalist's AI assistant pulled your About page,
would the first paragraph be a quotable definition or a brand slogan?
03 · Methodology
Seven categories, weighted by impact on AI citation outcomes.
25%
AI Citability
Per-page presence of AI-quotable definitions, quantified facts, attribution density.
20%
Brand Authority
Wikipedia, Wikidata, LinkedIn, SEC, tier-1 press, entity disambiguation, social presence.
20%
Content E-E-A-T
Experience, Expertise, Authoritativeness, Trustworthiness on content + author + governance pages.
15%
Technical GEO
Robots.txt AI-bot posture, llms.txt, SSR, edge cache, sitemap hygiene.
10%
Schema & Structured Data
Org, WebSite, NewsArticle, Person, BreadcrumbList, FAQ, Service + sameAs entity linking.
10%
Platform Optimization
Per-platform readiness for Google AI Overviews, ChatGPT, Perplexity, Gemini, Bing Copilot.
Every score on a 0–100 scale, composite weighted average. Threshold ratings: 80+ Excellent · 65–79 Good · 50–64 Fair · under 50 Critical.
04 · Two-week structure
Two weeks of structured analysis that diagnose the AI-visibility gap and translate it into a remediation map
Week 1 · Diagnosis
Day 1
Kickoff with a stakeholder map, domain access provisioning, inventory of priority pages, and an executive sponsor interview.
Day 2
Page-level citability scoring across the priority templates against AI-citable definitions, quantified facts, and attribution density.
Day 3
Brand authority footprint review across Wikipedia, Wikidata, LinkedIn, SEC, tier-1 press, and entity disambiguation patterns.
Day 4
Technical GEO and schema audit covering robots.txt, llms.txt, sitemap hygiene, SSR posture, edge cache, and Schema.org coverage.
Day 5
Content E-E-A-T scoring and per-platform readiness assessment across Google AI Overviews, ChatGPT, Perplexity, Gemini, and Bing Copilot.
Week 2 · Synthesis & Map
Day 6-7
Cross-category analysis with the weighted composite score and triage of critical, high, medium, and low priority issues.
Day 8
Prioritized 30-day action plan with effort estimates and a quick-wins-this-week shortlist for immediate execution.
Day 9
Draft readout review with the executive sponsor for alignment before the final delivery.
Day 10
Final readout delivering the GEO Score Report alongside a proposed next engagement scoped against the highest-priority gaps.
05 · Deliverable
The GEO Score Report.
A printable, defensible 18 to 24 page report that an executive can take directly to a CEO or board, not a Notion page or a slide deck.
Executive summary, one paragraph on AI-visibility state
Score breakdown across 7 weighted categories
Critical issues to fix immediately
High-priority issues
Medium and low priority issues
Per-category deep dives with verbatim good vs bad passages
Quick Wins this week, ranked by effort
30-day action plan in 4 weekly tracks
Pages analyzed appendix
The report is vendor-neutral and does not recommend specific AI platforms, SEO tools, or schema vendors, only the structural fixes that will move citation rates inside the AI search surface.
Sister diagnostic
The GEO Audit asks can the world’s AI see and cite you? The Foundation Audit asks can your stack carry AI? Both are two-week engagements producing a printable map, and buyers often need both, with discovery distinguishing which foundation gap is the bigger blocker on the path to production AI activation.
06 · The GEO Audit
A two-week diagnostic that scores how AI sees your brand
After two weeks of structured analysis you walk away knowing exactly how AI search engines describe your brand today, which categories are dragging the composite score, and which fixes will move citation rates this quarter.
Request a GEO Audit
