Results we can defend in a boardroom.
Every number below comes from stable prompt rosters and real answer fetches, cross-checked before we publish it. If a metric moved because we changed the measurement, we say so.
Newton School's brand barely appeared when buyers asked AI about online tech education. AirPulse's audit surfaced the blockers, from a noindexed llms.txt to missing structured data, and the action feed sequenced the fixes.
Property inspectionA services brand in a category AI loves to answer. AirPulse tracked the prompts home buyers actually ask, found the citation gaps, and the content and schema fixes that followed lifted PropChk's cited presence sharply within days.
BytePe was investing heavily in performance marketing while a broken JSON-LD setup kept pages from being read properly. The AirPulse audit caught it. Today their blog runs on AirPulse hosted publishing, matched to their design system.
AirPulse runs on Airmeet's own marketing every day. Missed opportunities become briefs, briefs become drafts, and every fix is verified live, the same loop we sell, used on ourselves first.
Why our numbers look smaller than the ads.
AI visibility is a young market and inflated claims are everywhere. We publish week-over-week deltas only when the underlying prompt set held still, we separate correlation from causation, and we keep control groups where we can. It makes for humbler headlines and much better renewals.
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