A GEO checker evaluates whether your website is optimized for visibility in generative engine results. Unlike traditional SEO audits that focus on rankings and backlinks, a GEO audit examines whether AI systems can access, understand, and cite your content. This guide walks through each component of a thorough GEO check and explains what to look for at each stage.
What a GEO checker evaluates
A comprehensive GEO check covers four domains: technical accessibility for AI crawlers, content structure and citability, entity coverage and semantic completeness, and cross-platform visibility performance.
Each domain contains specific checkpoints that together paint a picture of your AI visibility readiness. Sites can be strong in one domain and weak in another. A technically accessible site with poorly structured content will not get cited. A site with excellent content that blocks AI crawlers will be invisible to AI platforms.
The goal is not a single score but a prioritized list of improvements. Some fixes are quick and high-impact, like unblocking an AI crawler. Others are longer-term investments, like restructuring content for better citability. A good GEO check helps you allocate effort where it matters most.
Technical accessibility checks
The first layer of any GEO audit verifies that AI crawlers can reach and render your content.
Robots.txt review. Check whether your robots.txt blocks any AI crawler user agents. Common agents include GPTBot, Google-Extended, PerplexityBot, anthropic-ai, and CCBot. Blocking these agents prevents your content from being considered for AI-generated answers on those platforms.
Server response verification. Test that your server returns 200 status codes when AI crawler user agents request your pages. Some hosting providers, CDNs, or security tools block requests from unfamiliar user agents. Use curl with custom user agent strings to verify access for each major AI crawler.
Rendering check. If your site uses client-side JavaScript rendering, verify that AI crawlers can access the fully rendered content. Fetch your pages with JavaScript disabled to see what crawlers that do not execute JavaScript can access. Critical content should be available in the initial HTML or server-rendered output.
llms.txt implementation. Check whether your site has an llms.txt file and whether it accurately describes your site structure. If one exists, validate its format against the specification. If one does not exist, note it as an implementation opportunity.
Sitemap completeness. Verify that your XML sitemap includes all pages you want AI systems to discover and that it does not include pages you want excluded. Check that the sitemap is referenced in robots.txt and submitted to Google Search Console.
For a professional assessment of your technical AI accessibility, see our AI SEO Audit service.
Content structure and citability assessment
AI systems extract passages from your content to use in generated answers. Content structure determines how easily and accurately they can do this.
Heading hierarchy. Check that every page follows a logical H1 through H4 structure. Each heading should clearly describe the content that follows it. Ambiguous headings like "More Information" or "Details" give AI systems less context for extraction.
Passage self-containment. Review whether key paragraphs make sense when extracted from their surrounding context. AI systems often cite individual passages rather than entire pages. A passage that begins with "As mentioned above" or "Building on the previous point" loses meaning when extracted in isolation.
Definition completeness. For pages that cover specific topics, check whether key terms are explicitly defined rather than assumed. AI systems prefer sources that provide clear, citable definitions. A page about "entity optimization" should define the term rather than assuming readers already know it.
FAQ presence and quality. Check whether important pages include FAQ sections with specific question-and-answer pairs. FAQ content maps directly to the question-answer format of AI-generated responses, making it highly citable.
Internal link context. Verify that internal links use descriptive anchor text and connect related content. AI systems use internal link structure to understand content relationships and topical authority.
Entity coverage analysis
Entity coverage measures how thoroughly your content addresses the entities relevant to your topic area. AI systems build understanding through entities and their relationships.
Entity identification. List the key entities in your business category: specific concepts, products, standards, organizations, locations, and processes. Check which of these appear on your most important pages.
Entity relationship mapping. Beyond mentioning entities, check whether your content explains relationships between them. A page about SEO that mentions "Core Web Vitals" and "page speed" should connect these concepts rather than treating them as separate topics.
Entity authority signals. Look for signals that establish your site as authoritative about specific entities: detailed coverage, original perspectives, and consistent treatment across multiple pages. AI systems prefer citing sources that demonstrate deep entity knowledge rather than superficial mentions.
Cross-platform visibility check
Different AI platforms cite sources differently. A complete GEO check examines your visibility across the major platforms.
Test your target queries on Google AI Overviews, ChatGPT with web search enabled, Perplexity, and Bing Copilot. Note whether your site appears, which pages are cited, and how consistently you appear across multiple checks.
Disparities between platforms reveal optimization opportunities. If you appear frequently on Perplexity but rarely in Google AI Overviews, the issue is likely Google-specific, perhaps related to how Google weights your content compared to competitors. If you appear on no platforms, the issue is more fundamental — content quality, structure, or accessibility.
For ongoing cross-platform visibility monitoring, explore our GEO Services.
Prioritizing GEO audit findings
After completing all checks, categorize findings by impact and effort.
High-impact, low-effort fixes go first: unblocking AI crawlers, fixing rendering issues, and implementing llms.txt. These are often one-time changes that immediately expand your visibility potential.
High-impact, high-effort improvements go next: restructuring content for citability, expanding entity coverage, and creating FAQ content. These require sustained effort but produce the largest visibility gains.
Low-impact improvements can wait: minor schema refinements, cosmetic heading adjustments, and optional optimizations. Address these when higher-priority work is complete.
Talk to our team for a prioritized GEO audit: Talk to our team