Generative Engine Optimization applies established SEO, accessibility, and content-quality practices to search experiences that generate answers. Claude SEO reviews crawler access, evidence, page structure, structured data, and platform-specific controls without promising citations.
When you run /seo geo, Claude SEO reviews 5 weighted dimensions: citability, structural readability, useful media, authority signals, and technical accessibility. The resulting GEO Readiness Score is an internal diagnostic rubric, not a predicted citation rate or a guarantee of visibility.
Google's current guidance is straightforward: established SEO practices also apply to its AI features. Helpful, reliable, crawlable content remains the foundation. Claude SEO uses GEO checks to organize that review across Google AI features, ChatGPT, Perplexity, and Bing Copilot.
The GEO analysis evaluates 5 practical dimensions that can be inspected on a page. Third-party correlation studies can inform hypotheses, but they do not prove that a specific mention, passage length, or content format causes an AI citation. Recommendations therefore stay evidence-led and platform-specific.
25%
CITABILITY SCORE
Checks whether key passages answer the topic clearly, stand on their own when quoted, distinguish facts from opinion, and attribute claims to relevant sources. There is no universal target passage length.
20%
STRUCTURAL READABILITY
Reviews heading hierarchy, descriptive section labels, readable paragraphs, lists, tables, and information order. Questions and FAQs are useful only when they match real user needs.
15%
MULTI-MODAL CONTENT
Checks whether images, video, charts, diagrams, and interactive tools materially explain the topic. Media is evaluated for relevance and accessibility, not counted as a citation shortcut.
20%
AUTHORITY AND BRAND SIGNALS
Reviews author bylines, relevant credentials, publication dates, primary-source citations, organizational transparency, and consistent entity profiles. Third-party mentions are treated as context, not causal proof.
20%
TECHNICAL ACCESSIBILITY
Checks whether important content is available without fragile client-only rendering, reviews crawler directives for 14 known agents and fetchers, reports optional llms.txt presence, and inspects licensing controls.
14
AI CRAWLERS CHECKED
Covers OpenAI, Anthropic, Perplexity, Common Crawl, ByteDance, Cohere, and Google agents. User-triggered fetchers may ignore robots.txt, so server-side controls may also be required.
// SCORING
GEO ANALYSIS WEIGHTS
The GEO Readiness Score is a consistent internal review framework across Google AI features, ChatGPT, Perplexity, and Bing Copilot. It summarizes observable page signals and should be interpreted with the report's evidence and limitations.
CITABILITY
25%
READABILITY
20%
AUTHORITY
20%
TECHNICAL
20%
MULTI-MODAL
15%
Output file
The analysis produces a single comprehensive file:
GEO-ANALYSIS.md - GEO Readiness Score, platform breakdown (Google AIO, ChatGPT, Perplexity, Bing Copilot), AI crawler access status, llms.txt status, brand mention analysis, passage-level citability findings, SSR check, and top 5 highest-impact changes
Platform citation sources
Platform
Key sources
Google AI features
Search eligibility, helpful content, crawlability, and standard preview controls
ChatGPT
Accessible source pages, clear attribution, and relevant entity context
Perplexity
Accessible sources, answer coverage, and transparent citations
Bing Copilot
Bing index visibility, accessible content, and authoritative sources
The analysis reviews AI crawler access, evidence and answer structure, optional llms.txt documentation, and platform-specific controls. Its readiness score is a vendor checklist, not a platform signal or citation forecast.
Quick wins the analysis identifies
Answer the page's primary user need clearly and early
Make important passages self-contained without forcing a target word count
Use descriptive H2 and H3 headings that reflect the actual section content
Support material claims with relevant primary sources
Allow key AI crawlers in robots.txt (GPTBot, ClaudeBot, PerplexityBot)
Treat /llms.txt as optional documentation for services that choose to read it, not as a Google ranking signal
Implement Person schema for authors with sameAs links to external profiles
// FAQ
What should you know about GEO analysis?
GEO is a label for applying established SEO, accessibility, and content-quality practices to search experiences that generate answers. Google says its AI search features use the same core SEO foundations and need no special markup or AI-specific file. Claude SEO adds platform-specific checks as an internal review framework, not a guaranteed citation method.
Claude SEO reviews robots.txt and server access considerations for 14 known agents and fetchers from OpenAI, Anthropic, Perplexity, Common Crawl, ByteDance, Cohere, and Google. It distinguishes robots-aware crawlers from user-triggered fetchers that may ignore robots.txt, and recommends server-side access controls when robots rules are insufficient.
There is no universal passage length that guarantees an AI citation. Use the shortest complete answer the topic allows, keep important passages understandable outside their surrounding section, and support material claims with relevant sources. Claude SEO treats passage structure as a qualitative review, not a fixed word-count gate.
Brand mentions and backlinks can both provide useful authority context, but third-party correlation studies do not prove that either signal causes AI citations. Claude SEO reports the available evidence, source, and methodology, then recommends building genuine reputation, useful content, and relevant references instead of optimizing to a single correlation.
llms.txt is a proposed format for publishing a concise, structured guide to a site's content. Google states that Search ignores llms.txt, so the file does not improve visibility or rankings in Google's AI features. A site may still publish it for non-Google services that choose to read it, but it should be treated as optional documentation rather than a citation lever.
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