How to Audit Your Website for AI Search: A Step-by-Step GEO Audit Guide

A GEO audit answers one practical question: why isn't ChatGPT, Perplexity, or Google AI Overview recommending my business? The answer is almost always traceable to one of five measurable dimensions. This guide walks you through auditing each one — the same framework SiteMarketing.ai uses to score websites automatically.

Dimension 1: Schema Markup — Does AI Know What Your Business Does?

Schema markup is JSON-LD code embedded in your page that provides structured data directly to AI systems — your business name, type, services, location, hours, and contact information in a format AI can read without inference. Without schema, AI must extract this information from your unstructured page text, increasing error rate and reducing citation confidence. A 2025 Moz study found that websites with comprehensive schema markup are 3.2× more likely to appear in AI-generated answers than those without.

To audit schema: view your homepage source code (right-click → View Source) and search for "application/ld+json". If you find nothing, your site has no schema. If you find something, paste it into Google's Rich Results Test (search.google.com/test/rich-results) to validate it. Check for Organization, LocalBusiness (if location-based), Article (on all blog posts), and FAQPage (on your FAQ page). Each missing schema type is a specific gap in how AI understands your business.

Dimension 2: Heading Structure — Can AI Parse Your Content Hierarchy?

AI systems use heading tags (H1, H2, H3) to understand the structure and hierarchy of your content — what the page is about (H1), what major topics it covers (H2s), and what subtopics exist within each (H3s). A page with a single H1 and multiple H2s tells AI exactly what questions that page answers. A page with broken heading hierarchy — multiple H1s, H3s before H2s, or headings used for visual styling rather than structure — confuses AI content parsing and reduces citation probability.

To audit headings: install the free WAVE accessibility tool browser extension (wave.webaim.org), visit each key page, and click "Structure." You should see exactly one H1 per page, followed by H2s for major sections, then H3s only under H2s with no levels skipped. Also check: do your H2 headings read like questions people actually ask? Question-based H2s increase AI citation rates because they match the query format AI processes.

Dimension 3: Content Citability — Is Your Content Structured for Extraction?

Content citability measures whether AI can extract a clear, standalone answer from your page without reading the entire article. The atomic answer block is the gold standard for citability: an H2 question heading followed by a direct 2–3 sentence answer, supporting evidence with a named source, and a practical takeaway — each section totaling 150–250 words and making sense independently.

To audit citability: pick any H2 section from your most important page and ask: could ChatGPT extract a useful answer from just this section, without reading the rest of the article? If the answer is buried in the third paragraph, if there are no cited sources, or if the section uses vague language ("may," "might," "could"), your citability score is low. Rewrite your top five content pages using the atomic answer block structure before addressing any other GEO issue.

Dimension 4: Entity Signals — Does AI Know Who You Are?

Entity signals are the consistent data points AI systems cross-reference to build a knowledge graph entry for your business. AI verifies your identity by finding the same business name, address, phone number, description, and category across multiple authoritative sources. When these signals are inconsistent or absent, AI's confidence in your entity drops — and so does your citation rate.

To audit entity signals: search "[your business name] [your city]" in Google. Are the top five results (Google Business Profile, Yelp, your website, LinkedIn, industry directories) completely consistent? Run your business name through Moz Local or BrightLocal to check NAP consistency across 50+ directories. The goal is 100% consistency across name, address, phone, website URL, and business description.

Dimension 5: Authority Signals — Does AI Trust Your Content?

Authority signals tell AI systems whether your content is credible enough to cite. These signals mirror Google's E-E-A-T framework: Experience (years in business, client outcomes), Expertise (credentials, certifications, published work), Authoritativeness (media mentions, backlinks from reputable domains), and Trustworthiness (verifiable contact information, affiliations, reviews). AI systems weight authority heavily in citation decisions — a well-structured page from a low-authority domain loses to a less-structured page from a high-authority one.

To audit authority: check if every content page has an author bio with credentials. Use Ahrefs or Moz to check your domain authority score (target 30+ for meaningful AI citations). Count your press mentions from publications AI systems recognize. If your authority score is below 25 and you have no media mentions, building authority through guest posts, local press, and directory citations should be your primary GEO investment for months one and two.

What Does a Good GEO Audit Score Look Like?

Based on SiteMarketing.ai audit data across hundreds of small business websites, the average GEO score for a first-time audit is 38/100. Scores below 40 indicate critical gaps across multiple dimensions. Scores of 40–65 indicate moderate issues primarily in schema and content structure. Scores of 65–80 indicate good foundational implementation with authority gaps. Scores above 80 indicate a site AI systems will consistently cite, assuming content remains current.