Is Your Business AI-Visible?

An AEO audit is a structured evaluation of your business's machine-readability — how well AI engines like ChatGPT, Perplexity, Google AI Overviews, and voice assistants can discover, verify, and cite your business in their answers. It scores five categories: technical discovery, entity and authority signals, content conversationality, off-site authority, and agentic readiness. Unlike a traditional SEO audit, which evaluates keyword rankings and backlinks, an AEO audit evaluates whether your business exists as a verified entity that AI engines will confidently recommend.

A traditional SEO audit evaluates signals that influence your position in a list of search results: keyword rankings, backlinks, page speed, and meta tags. An AEO audit evaluates whether AI engines can identify your business, verify its claims, extract answers from its content, and recommend it with enough confidence to cite it in a synthesized response. A business can rank on page one of Google through strong backlinks while remaining invisible in AI answers if its entity data is inconsistent, its content lacks structured formatting, or its schema markup is absent. AEO and SEO share technical foundations but diverge sharply in content structure, entity signals, and off-site authority strategy.

The AEO audit score measures how completely your business has built the five signal categories that determine AI engine visibility: technical discovery (whether AI crawlers can access and index your content), entity and authority signals (whether AI engines can verify who you are), content conversationality (whether your content is structured for AI extraction), off-site authority (whether external sources confirm your entity claims), and agentic readiness (whether AI agents can interpret your conversion path and pricing). Each category contributes 20 points to the 100-point total.

A score of 71 or above indicates a solid AEO foundation with competitive AI visibility. A score of 86 or above indicates an AI-ready presence where engines can discover, verify, and cite your business with high confidence. Scores below 56 indicate significant gaps that are actively limiting your visibility in AI-generated answers. The most critical individual category is Entity and Authority Signals — a business can score 70 overall and still be invisible to AI engines if that category is weak, because entity clarity is the prerequisite for everything else in AEO.

Entity authority is the degree to which AI engines can identify, verify, and trust your business as a real-world organization with confirmed attributes. AI engines actively avoid citing entities they cannot verify — if your business name, description, and contact information are inconsistent across your website, Google Business Profile, LinkedIn, and directories, AI engines assign a low confidence score and exclude you from their answers. The AEO audit checks Organization schema completeness, sameAs property links, Person schema for team members, entity consistency across platforms, and schema validation — the five signals that most directly determine whether AI engines treat your business as a citable entity.

Content conversationality is how well your website content matches the natural language questions people ask AI engines. AI engines process complete questions, not keyword fragments. A service page optimized for the keyword phrase "plumber San Diego" earns fewer citations than a page that directly answers "Who is a reliable plumber in San Diego available on weekends?" The AEO audit checks whether your service pages open with direct answers, whether you have dedicated FAQ pages with question-format headings, whether that content uses FAQPage schema, and whether it is written in plain language rather than industry jargon. FAQ pages with FAQPage schema markup are among the most-cited content types across all AI engines.

GPTBot is OpenAI's web crawler, which indexes content for use in ChatGPT's responses. Many websites block GPTBot unintentionally through robots.txt rules set up to block all non-Google crawlers. If your robots.txt file blocks GPTBot, your content cannot be indexed by ChatGPT regardless of how well-optimized it is. The AEO audit checks whether your robots.txt allows GPTBot and other AI crawlers because accessibility is the first requirement for AI citation — a crawler that cannot reach your content cannot recommend your business.

AI engines cross-reference your entity claims against external sources before citing you. Your own website can declare that you are an expert, but AI engines treat that claim with higher confidence when external sources confirm it: industry directory listings, LinkedIn company and personal profiles, earned media mentions in publications, podcast appearances, and press coverage. The AEO audit checks directory presence, earned media, LinkedIn consistency, brand mention monitoring, and AI engine recognition because each external data point adds a verified fact that raises your entity trust score and increases citation likelihood.

Agentic readiness is how well your website can be interpreted and acted upon by AI agents — autonomous AI systems that complete tasks on behalf of users, including researching service providers, comparing options, and initiating contact. An AI agent evaluating your business needs to find a Knowledge Panel confirming your entity, pricing context it can extract and compare, a clear and crawlable conversion path, Article schema attributing content to named authors, and BreadcrumbList schema showing how your content topics connect. Businesses that build agentic readiness now position themselves to capture leads from AI agents before this channel becomes competitive.

Technical fixes like robots.txt configuration, sitemap submission, and schema markup implementation can produce results within weeks. Entity consistency cleanup across directories typically takes 30 to 60 days. Content improvements, including FAQ pages with schema, take 4 to 8 weeks to be indexed by AI engines. Off-site authority building contributes to scores over 3 to 6 months. Knowledge Panel generation typically takes 6 to 12 months of consistent effort. Throughout this period, AI citation frequency improves incrementally as each new verified signal strengthens your entity trust score.