How the AI visibility platform works in 4 steps
The workflow is designed for operators first: what is broken, where competitors are ahead, which pages need work now, and when to recheck before relying on trend charts.
Workflow summary
Audit AI visibility
Enter your site and identify the first blockers: crawler access, llms.txt, schema, weak category language, and missing answer-ready support pages.
Map competitor and alternative gaps
Compare your site structure against what winning competitors publish: comparison pages, glossary support, pricing clarity, proof assets, and stronger entity context.
Ship the page fixes
Turn each blocker into a concrete next action with file snippets, schema guidance, and page briefs for the homepage, compare pages, pricing page, and supporting content.
Recheck and monitor lift
Rerun the audit after publishing, confirm the blocker is gone, then track mentions, citations, and competitor pressure over time with directional monitoring.
Detection → Diagnosis → Resolution
Every surface in AEO Platform follows the DDR framework. We never show you a problem without showing you what to do about it. Monitoring without action plans is a dead end we explicitly reject.
The process only works if the supporting pages are clear
These are the pages that usually determine whether a brand is easy for answer engines to describe and recommend.
Homepage
Own the commercial category with a clear AI visibility platform position.
Compare pages
Capture alternative intent with named competitor pages and a strong compare hub.
Glossary
Define AEO clearly so the category is not confused with the customs acronym.
Pricing
Support buying intent with one strong pricing page and the right FAQs.
Start with the pages and proof that AI can actually use
Run the free audit to see what blocks AI from citing your site. Use the trial when you need ongoing monitoring, attribution, prompt discovery, and team workflows after the first fixes are live.