AI Search Readiness Audit: Is Your Business Visible in AI-Generated Answers?

What an AI search readiness audit measures

An AI search readiness audit evaluates your business's current visibility in AI-generated answers and identifies the specific gaps blocking greater citation presence. It covers three dimensions: current citation presence (are you being cited, for what queries, and on which platforms), content structure readiness (is your content formatted to be cited), and technical readiness (do you have the schema markup and entity signals that AI systems rely on).

Part 1: Citation presence testing

The first part of the audit involves testing the 20 to 30 highest-value queries in your category across the major AI platforms. For each query, we document: who is being cited (your brand or competitors), what content is being cited (which page type and what content format), whether citations include a source link, and how prominently your brand appears in the answer.

This baseline tells you your current AI search share of voice compared to competitors — and identifies the specific queries where you are absent despite having the relevant expertise.

• Test across: ChatGPT (standard + browsing mode), Perplexity, Google AI Overviews, Gemini
• Document: cited sources, answer content format, presence of source links
• Map results to: your current content inventory (is the content there but not optimized, or missing entirely)
• Score: AI visibility score for each query cluster (0 = absent, 1 = sometimes cited, 2 = consistently cited)

Part 2: Content structure audit

For each of your major pages, the content structure audit evaluates citation-readiness: does the page have a direct answer in the first 100 words, does it have a FAQ section, are answers specific and factual, is the content organized with clear headings, and is there original data or specific statistics that AI systems can pull.

• Direct answer check: does the first paragraph answer the primary query?
• FAQ section: are there question-answer pairs that AI systems can extract?
• Specificity score: how many citable facts, statistics, or named examples per page?
• Structure score: heading hierarchy, numbered lists, clear section delineation
• Freshness: when was content last updated? Is the date visible in the page?

Part 3: Technical readiness audit

The technical readiness audit checks your schema markup implementation, entity signals, and indexation status across AI-relevant systems.

• Schema audit: FAQPage, HowTo, Article, Organization, LocalBusiness schema present and valid
• Entity verification: Google Knowledge Panel present, GBP verified, LinkedIn company page complete
• Bing indexation: pages indexed in Bing Webmaster Tools (critical for ChatGPT browsing)
• robots.txt: is AI crawler access correctly configured? (Googlebot, Bingbot, GPTBot, PerplexityBot)
• Sitemap: all important pages in sitemap and properly indexed

Audit deliverables

An AI search readiness audit from Luma Growth Lab delivers: a citation presence scorecard for your 20 to 30 target queries, a content structure audit report for your top 10 pages, a technical readiness checklist with pass/fail status and fix instructions, a prioritized action plan sorted by citation impact, and a 90-day AEO implementation roadmap.

How to do a basic AI search readiness self-audit

If you want to do a basic self-assessment before investing in a full audit, here is a 15-minute process. Open ChatGPT, Perplexity, and Google in separate tabs. Search the 5 most important questions in your category on each platform. Check whether your brand appears in the answer or as a source. Then check your site for FAQ sections on service pages, schema markup (use Google's Rich Results Test), and whether your first page paragraph directly answers the page's target query.

If you find you are absent from AI answers for the questions your buyers ask, and your pages have no FAQ sections and no schema markup — those are the two highest-leverage starting points.