What is a GEO score? How AI search visibility is measured

A GEO Score is a measure of how visible a website is to AI search engines, specifically how likely AI systems like ChatGPT, Perplexity, Claude, and Google AI Overviews are to find, understand, trust, and cite it in AI-generated answers.

What does GEO stand for?

GEO stands for Generative Engine Optimisation.

Traditional SEO (Search Engine Optimisation) focuses on ranking in Google and other search engines, through keywords, backlinks, and technical signals.

GEO focuses on visibility inside AI-generated answers, through entity clarity, extractable content, structured data, trust signals, and recommendation readiness.

A website can rank well in Google and still be completely invisible to ChatGPT or Perplexity. GEO measures that second layer of visibility.

Why GEO scores matter in 2026

Users are increasingly asking ChatGPT, Perplexity, Claude, and Gemini for recommendations, comparisons, and buying decisions, rather than working through a list of search results.

For a business, this creates a new visibility problem. If an AI system does not understand who you are, what you do, and why you should be recommended, you do not appear in those answers, regardless of how well you rank in Google.

Businesses that assume “we rank well in Google, so we must be visible everywhere” are increasingly invisible to users who go straight to AI for answers. That invisible gap is what a GEO Score measures.

How a GEO score is calculated

SearchScore calculates a GEO Score by auditing a website across eight categories of AI visibility signals. Each category measures a different aspect of how well an AI system can find, understand, and recommend the site.

The eight GEO categories

Each category contributes to the overall GEO Score, weighted by its impact on AI recommendation likelihood.

What is a good GEO score?

SearchScore uses the following tier labels for GEO Scores:

Most websites currently score in the Low Visibility or Emerging range, not because their products or services are weak, but because their websites are not structured for AI visibility.

GEO score vs traditional SEO score

Both matter. A strong SEO foundation, good technical health, quality content, authority signals, still helps AI visibility indirectly. But AI systems also weight signals that traditional SEO tools do not measure. A website can rank on page one of Google and have a GEO Score below 30.

SearchScore produces both a GEO Score and an SEO Score in a single audit, so the relationship between the two is visible.

The five most common GEO score problems

1. AI crawlers are blocked

Some websites accidentally block provider search/discovery paths. Review OAI-SearchBot, Claude-SearchBot and PerplexityBot where relevant, plus ordinary search crawlers such as Googlebot and Bingbot. GPTBot and ClaudeBot are training crawlers; Google-Extended is a separate training/grounding control.

Fix: Review robots.txt and remove or adjust directives that block AI crawlers.

2. Missing structured data

Structured data can make a business, author, product or page type explicit to systems that consume Schema.org. Without it, machines may need to infer those relationships from visible content, but schema is not a universal AI ranking requirement.

Useful schema types include Organization, LocalBusiness, Article, Person, Product, BreadcrumbList and FAQPage where each accurately describes visible content. No one type should be presented as the most important universal GEO signal.

Fix: Implement schema markup for the most relevant schema types for the business.

3. No llms.txt file

llms.txt is an optional machine-readable content-map convention. It can be maintained for compatible agents or tools, but Google Search says it does not use the file and its absence is not evidence that an answer engine cannot understand the site.

Fix: Create a file at yourdomain.com/llms.txt containing a business description, key page list, services, and important context for AI systems.

4. Weak entity signals

AI systems validate businesses by cross-referencing entity signals across the web: business name, address, phone number, category, and descriptions. Where these are inconsistent or absent across directories, review platforms, and social profiles, AI recommendation confidence decreases.

Fix: Audit and standardise NAP (name, address, phone) consistency across all directory and review listings.

5. Content is not structured for extraction

AI systems prefer direct answers. Pages that open with vague marketing language, bury answers inside long paragraphs, or fail to directly address common questions are less likely to be extracted and cited.

A page that opens with “Welcome to our award-winning innovative solutions…” gives AI nothing useful to extract. A page that opens with “Smith Dental provides emergency dental care in Manchester, with same-day appointments available Monday to Saturday” gives AI a complete, extractable answer.

Fix: Rewrite key pages to open with direct, specific answers. Add FAQ sections. Use clear headings that match the questions users ask.

How to improve a GEO score: priority order

Not all GEO fixes are equal. Some have immediate impact; others build over time. SearchScore’s audit prioritises fixes in the order most likely to improve AI visibility quickly.

The general priority order is:

1. Remove genuine crawl or index blockers - high priority when they affect a discovery path you actually rely on

2. Add accurate Organization or LocalBusiness schema - clarifies the business entity where appropriate

3. Improve visible answer structure - add genuine FAQs where helpful; use FAQPage only as accurate semantic markup

4. Optionally create llms.txt - useful housekeeping for compatible agent workflows, not a ranking requirement

5. Rewrite content for direct answers - improves AI citability across multiple queries

6. Standardise entity signals - builds long-term recommendation confidence

Some fixes can be implemented quickly, but visibility changes depend on when the relevant crawler, search index or external source refreshes. Re-run the same questions at a consistent cadence rather than promising a fixed propagation window.

How SearchScore measures GEO score

SearchScore audits a website and produces a GEO Score as part of a three-score report. The full report includes:

- GEO Score - AI search visibility across the eight categories above

- SEO Score - Traditional search signals including technical health, on-page factors, content, and authority

- CRO Score - Conversion readiness including trust signals, lead capture quality, and LLM optimisation

The audit covers over 250 signals in total. It runs in under 60 seconds and requires no email address or account to receive the free report.

The GEO Score section of the report identifies which of the eight categories are strong, which have gaps, and what to fix first, with plain-English explanations of each issue written for non-technical business owners.

The bottom line

Most businesses are not invisible in AI search because their products or services are weak.

They are invisible because their websites are not structured in a way that AI systems can understand, trust, and cite.

A GEO Score measures that gap. It shows specifically what is missing, why it matters, and what to fix first.

Run a free audit at searchscore.io - GEO Score, SEO Score, and CRO Score in under 60 seconds. No signup required.