The GEO Audit That Measures What Actually Matters in AI Search
Most SEO audits tell you why you rank on Google. Our GEO Audit U1 tells you why ChatGPT, Perplexity, Gemini, and Bing Copilot cite — or ignore — your brand. Dual-methodology. Industry-aware. Research-backed.
Why Traditional SEO Audits Fail in the AI Era
Traditional SEO Audit
- •Measures Google ranking factors only
- •Ignores AI citation selection logic
- •Generic — one-size-fits-all industries
- •No off-site corroboration analysis
- •Can't explain why you rank #1 but ChatGPT never mentions you
GEO Audit U1
- •Measures both retrieval AND selection
- •Based on 129K-domain SE Ranking study
- •Industry-adapted citation surfaces
- •Full corroboration density mapping
- •Explains exactly why AI ignores your brand
Research-Backed Methodology
GEO Audit U1: Dual Methodology
One audit framework. Two methods. Pick the lens that matches your client's question — or run both for the complete picture.
Method A: GEO Site Readiness
What it measures: Can AI crawlers find, understand, and extract your content?
Best for: First-time audits, client onboarding, technical assessments, monthly health checks.
Output: Single 0–100 composite score.
| Dimension | Weight | Core Question |
|---|---|---|
| AI Citability | 25% | Will AI models cite this content? |
| Content Quality | 20% | Is depth + format optimized for AI consumption? |
| E-E-A-T | 20% | Does the page demonstrate Experience, Expertise, Authority, Trust? |
| Technical GEO | 15% | Is the site technically optimized for AI discovery? |
| Brand Authority | 10% | Is the brand recognized as authoritative by AI systems? |
| Platform Optimization | 10% | Is the site optimized for ChatGPT, Perplexity, Gemini, Bing? |
Method B: GEO Citation Potential
What it measures: Will AI models actually cite your brand in answers? Not just find you — choose you.
Best for: Why does my competitor show up in ChatGPT and we don't?, competitor gap analysis, advanced clients.
Output: Two-layer score — Retrieval (35%) + Selection (65%).
LLMs run a two-stage process. Retrieval = which pages enter the candidate pool (E-E-A-T, backlinks, indexing). Selection = which pages get cited from inside that pool (7 off-page + on-page signals). Your Google rank is a strong proxy for retrieval. If you rank well but never appear in ChatGPT, you are failing at selection, not retrieval.
Layer 1 — Retrieval (35%)
| Dimension | Weight | Core Question |
|---|---|---|
| E-E-A-T | 42.8% | Does the page demonstrate Experience, Expertise, Authority, Trust? |
| Technical GEO | 34.3% | Is the site technically optimized for AI discovery? |
| Indexing Health | 22.9% | Is content actually crawlable and indexable by AI systems? |
Layer 2 — Selection (65%)
| Dimension | Weight | Core Question |
|---|---|---|
| Corroboration Density | 18% | How often is your brand independently mentioned on trusted third-party surfaces? |
| Answer Alignment | 12% | Does your content match how an LLM would phrase the answer? |
| Citation Surface Presence | 12% | Is your brand present on the specific off-site URLs the LLM retrieves? |
| Positional Structure | 10% | Does the answer live in the first 30% of the page where 44% of citations originate? |
| Entity Stability | 8% | Is your brand described consistently across every public surface? |
| Review Platform Footprint | 3% | Do you have active, positive presence on category-specific review surfaces? |
| Freshness Velocity | 2% | How recently was the content substantively updated? |
Industry-Specific Citation Surfaces
Method B adapts its selection-layer signals based on your industry. The corroboration surfaces that matter for a B2B SaaS company are completely different from an insurance broker or a hospital system.
B2B SaaS / Technology
Community corroboration on Reddit and Hacker News drives ~4× citation lift.
Insurance / Finance
Regulatory filings and comparison site presence are dominant selection signals.
Professional Services
Case study depth and client testimonial corroboration matter more than volume.
Healthcare / Medical
Peer-reviewed publication presence and clinical trial citations are weighted heavily.
Real Estate
Local corroboration (neighborhood blogs, local news) outperforms national signals.
E-commerce / DTC
UGC volume and sentiment velocity are stronger than single-platform dominance.
Manufacturing / Industrial
Certification visibility and trade publication mentions dominate selection.
Education / EdTech
Student outcome data and independent curriculum reviews drive citation selection.
Which Method Should You Run?
“How ready is our site for AI search?”
→ Method A: GEO Site Readiness — Single score. On-site only. Good for first touch.
“We rank on Google but never show up in ChatGPT”
→ Method B: GEO Citation Potential — Retrieval + Selection split. The real answer.
“Give us the full audit”
→ Run Method A first, then Method B. Method A establishes baseline. Method B exposes the gap.
“How do we compare to competitors?”
→ Method B: Citation Surface Map shows exactly where they win and where you're invisible.
Frequently Asked Questions
What is a GEO audit and how is it different from traditional SEO?
A GEO (Generative Engine Optimization) audit evaluates how visible your brand is inside AI search engines like ChatGPT, Perplexity, Gemini, and Bing Copilot — not just Google. Traditional SEO optimizes for ranking positions in blue-link search. GEO optimizes for being the answer AI models cite when users ask questions. Our GEO Audit U1 uses a dual-methodology: Method A measures on-site readiness (schema, content depth, E-E-A-T), while Method B measures full-funnel citation potential including off-site corroboration, review platform presence, and entity stability across the web.
What does Method A (GEO Site Readiness) measure?
Method A audits six on-site dimensions that determine whether AI crawlers can find, understand, and extract your content. These are: AI Citability (25%), Content Quality (20%), E-E-A-T (20%), Technical GEO (15%), Brand Authority (10%), and Platform Optimization (10%). It produces a single 0–100 score ideal for client onboarding, technical health checks, and monthly tracking. A score of 70+ means your site is structurally ready for AI search.
What does Method B (GEO Citation Potential) measure?
Method B measures the full picture: not just whether AI can find you, but whether it will choose to cite you. It splits into Retrieval (35%) — E-E-A-T, technical GEO, and indexing health — and Selection (65%) — seven signals that determine which pages win in the citation pool. The seven selection signals are: Corroboration Density, Answer Alignment, Citation Surface Presence, Positional Structure, Entity Stability, Review Platform Footprint, and Freshness Velocity. Method B is the right audit when your client ranks on Google but never appears in ChatGPT.
Why is the selection layer weighted at 65%?
Because ranking on Google is table stakes. SE Ranking's 129,000-domain study found that brands with strong community corroboration were 4× more likely to be cited by LLMs — even with similar retrieval profiles. The brands losing in AI search aren't losing because they can't be found. They're losing because they aren't credible enough to be selected. The 65% selection weight reflects this reality.
How does GEO Audit U1 adapt to different industries?
Method B's selection-layer signals are industry-aware. The citation surfaces that matter for B2B SaaS (G2, Capterra, Reddit, Hacker News) are completely different from insurance (AM Best, NerdWallet, state regulatory filings), healthcare (Healthgrades, PubMed, clinical trials), or education (Course Report, state DOE directories). During the CONFIG phase, we select an industry profile that replaces generic signals with the actual surfaces your category's LLM queries retrieve. Hybrid businesses use their primary revenue driver as the main profile.
How often should we run a GEO audit?
Method A (Site Readiness) should run monthly — it tracks technical health, schema compliance, and content freshness. Method B (Citation Potential) should run quarterly — selection-layer signals like corroboration density and review platform presence change more slowly. Run Method B immediately after any major site redesign, rebranding, or when a client asks 'why did our ChatGPT mentions drop?'
What is the fastest way to improve GEO scores?
The three highest-impact fixes are: (1) Add FAQPage schema to all Q&A content — this makes your answers extractable by AI systems. (2) Ensure entity consistency — your brand should be described identically across your homepage, about page, social profiles, and llms.txt — entity drift confuses LLMs. (3) Build independent corroboration on the citation surfaces that matter for your industry — for B2B SaaS that's G2 and Reddit; for professional services that's Clutch and LinkedIn; for healthcare that's PubMed and clinical trial registries.
Do you offer white-label GEO audit services for agencies?
Yes. Mercury Technology Solutions provides white-label GEO Audit U1 reports for marketing agencies, SEO consultancies, and enterprise clients. Reports include both Method A and Method B scoring, competitor Citation Surface Maps, industry-specific action plans, and executive summaries written for CMOs. Contact us to discuss white-label pricing and API access.
Ready to Own AI Search?
Get a GEO Audit U1 for your brand. Method A baseline + Method B gap analysis + industry-specific action plan.