AI visibility evaluation
How Corelead's AI visibility evaluation works
The evaluation is an 8-step process. It is our AEO (answer engine optimization) and GEO method. We collect your buyer questions, test them on AI and search surfaces, score you and your rivals, audit your site for AI crawlers, find the gaps and turn them into actions, then keep monitoring.
The 8 steps
- 1
Intake
We learn your product, buyers, regions and languages, main rivals, and which AI assistants you are signed into.
- 2
Prompt list
We write 10 to 15 real buyer questions, tagged as category, problem, comparison or brand, and pick the 5 that matter most.
- 3
Baseline run
Every prompt is run on every surface we can reach. Answers and sources are saved with the date.
- 4
Scoring
Each prompt is scored for you and your rivals: recommended, cited, mentioned or absent.
- 5
Site audit for AI crawlers
We check robots.txt, llms.txt, structured data, answer-style copy, about and entity pages, and internal links.
- 6
Gap analysis
We identify who is named instead of you and which third-party pages the answers lean on.
- 7
Actions
Content structure (comparison and guide hubs), site fixes, and outreach to the roundups AI answers cite.
- 8
Monitoring
Your top prompts are re-run twice a week, and you get a weekly brief.
What you receive
- Prompt list and dated baseline capture
- Share-of-answer scoreboard
- Site audit with prioritised fixes
- Outreach target list
- Content suggestions (hub, slug, target query, one-line answer, related pages)
- Weekly brief with one action, plus twice-weekly spot notes
Human judgment on top
Our agentic tools do the repetitive runs and captures. Our team checks every finding, quotes the source and decides priorities.
Request an evaluation
Frequently asked questions
How many buyer questions do you test?
10 to 15, with the 5 most important tracked closely.
Do I need to give you account access?
Only if you want ChatGPT or Claude checked through your own signed-in accounts. Otherwise we use surfaces we can reach directly.
What is llms.txt?
A plain text file some sites publish to guide AI tools to their key pages. We check whether you have one and whether it helps.
Does the evaluation cover SEO too?
Yes, where it affects AI answers. Strong SEO is the foundation of AI search visibility (AEO), so the site audit checks crawlability, structured data and entity pages alongside AI-specific signals.
What happens after the evaluation?
You get an action plan and ongoing monitoring with a weekly brief.