How to run a complete AI visibility audit in 2026
Cyril Cretin
Founder RadarLLM.ai
An AI visibility audit is a comprehensive analysis of how artificial intelligences (ChatGPT, Gemini, Perplexity, Claude) mention and cite your brand in their responses. Here's the complete methodology to run this audit in 2026.
Why run an AI visibility audit?
In 2026, LLM traffic shows a 14.2% conversion rate, 5 times more than Google Search (2.8%). But 78% of websites are invisible to these AIs. An AI visibility audit tells you exactly where you stand and what to fix first.
The 6 modules of a complete audit
Technical performance
Core Web Vitals (LCP, CLS, INP, TBT) via Google PageSpeed API. A slow site is penalized by Google AND ignored by AIs that prefer citing fast, reliable sources.
Classic SEO
Complete analysis of meta tags, Hn structure, image alt, robots.txt (AI bots allowed?), sitemap, HTTPS, canonical, Open Graph, Schema markup and llms.txt file.
LLM Visibility
Generation of 5 conversational queries adapted to your sector, sent to ChatGPT, Gemini, Perplexity and Claude. Analysis of citations, verbatims and sentiment.
AEO (Answer Engine Optimization)
Checking FAQ JSON-LD schemas, direct answer format content, questions in headings, structured lists and key term definitions.
GEO (Generative Engine Optimization)
Analysis of llms.txt file, AI bot authorization in robots.txt, thematic blocks, complete Schema.org, external sources and update dates.
EEAT (Expertise, Experience, Authority, Trust)
Author page, Person Schema, in-depth content, testimonials, legal notices, privacy policy, visible contact and press mentions.
How to measure the AI-Ready score?
The AI-Ready score is a rating out of 100 calculated from the 6 modules: Performance (20%), SEO (20%), LLM Visibility (25%), AEO (15%), GEO (10%), EEAT (10%). A score of 80+ means your site is "AI-Ready Excellent". The average for French websites is approximately 35/100.
Manual vs automated audit: what's the difference?
| Manual (consultant) | Automated (RadarLLM) | |
|---|---|---|
| Price | $500-2500 | from $24.50 |
| Timeline | 10-30 days | ~10 minutes |
| LLMs tested | 1-2 (manual) | 4 (automated) |
| Fix files | Rarely included | ZIP included |
| Reproducible | No | Yes (re-audit D+30) |
What KPIs to track after the audit?
Overall AI-Ready Score (/100) — your main metric.
Number of AI citations (X/120 tests) — how often AIs mention you.
Mention sentiment (positive/neutral/negative) — what AIs say about you.
AI referral traffic in GA4 — visits from ChatGPT, Perplexity, etc.
AI traffic conversion rate — compare with classic Google traffic.
Score evolution over time — monthly re-audit to measure progress.
How much does an AI visibility audit cost?
Manual audits by a consultant cost between $500 and $2,500. RadarLLM offers automated audits starting at $24.50 (launch offer), with a professional PDF report and a ZIP of ready-to-upload fix files. The Expert audit at $99.50 includes full EEAT analysis and a prioritized action plan.
What does the RadarLLM report contain?
The RadarLLM PDF report includes: an overall AI-Ready score out of 100, detailed scores per module, an executive summary with top 3 strengths and top 3 issues, raw AI verbatims, 10 recommendations prioritized by impact/effort/timeline, and the list of fix files included in the ZIP.
The ZIP contains: custom llms.txt file, corrected robots.txt (all AI bots allowed), optimized meta tags, JSON-LD schemas (FAQ, Organization), reformulated AEO content, and for the Expert tier: EEAT checklist and PDF action plan.
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