Track where a site is named, cited, ignored, or replaced across AI search surfaces.
Know who AI engines trust.
Measure brand authority, prompt visibility, competitor presence, and entity coverage across AI search surfaces before competitors own the answer.
Catch the problem, prove the impact, ship the fix.
Each feature turns messy SEO work into clear signals, decisions, and actions that are easier to explain, assign, and prove.
Your competitors are already being recommended in AI answers.
See where the brand is named, ignored, cited, or replaced by a competitor across answer engines.
Turn vague AI visibility anxiety into evidence your agency can diagnose and act on.
Connect citation gaps to pages, sources, entities, and next tasks instead of dropping screenshots into a report.
The questions teams ask before switching.
What the workflow replaces, what it helps prove, what spends credits, and how the work moves forward after the signal appears.
What does AI Search tracking measure?
It tracks where a site is named, cited, ignored, or beaten by competitors across AI answers and search surfaces.
Why should a team care about AI visibility now?
Buyers are asking AI engines for recommendations, comparisons, summaries, and vendor shortlists. If a site is not named, cited, or described correctly, the team needs to know before competitors own that answer surface.
Does it guarantee a brand will show up in AI answers?
No. It shows where the brand appears, where competitors appear, which sources are being used, and what gaps the team can work on. Visibility still depends on authority, content, citations, entities, and the answer engine.
Can it track competitors too?
Yes. Competitor tracking helps show who is being named, which sources are being cited, and where the project is losing share of answer.
Why does prompt tracking use credits?
Fresh engine runs have real data and AI costs. Page Optimized estimates the run before scheduling so teams can control prompts, engines, competitors, and cadence.
Can schedules be controlled?
Yes. Teams can choose which prompts, engines, competitors, and cadence matter, then pause or adjust schedules when AI visibility is not the priority.
Can saved AI visibility reports be reused?
Yes. Saved AI Tracker runs, prompt results, and report-ready views reopen for 0 credits.
What happens after we find an AI visibility gap?
The gap can become a content refresh, citation target, entity cleanup task, comparison page, internal proof note, or report item so the team can act instead of just watching the chart.