Reputation Teams from equal AI helps teams catch negative AI framing before it spreads, understand what AI engines cite, and prioritize the work that improves answer visibility.
Reputation Teams from equal AI helps teams catch negative AI framing before it spreads, understand what AI engines cite, and prioritize the work that improves answer visibility.
Buyers increasingly ask AI engines for recommendations, comparisons, and shortlists. Reputation Teams gives your team a focused way to see whether your brand is present, how it is described, and which sources influence the answer.
equal AI tracks mentions, positions, competitors, citations, sentiment, source domains, response text, and recommendations across the surfaces that matter for your category.
Use the action queue to improve owned content, fix schema and crawler access, earn third-party citations, update comparison pages, and test whether those changes increase AI share of voice.
A curated set of buyer questions for Reputation Teams, including alternatives, pricing, review, comparison, and recommendation prompts.
A source-level readout showing the domains, pages, communities, reviews, and third-party references that influence AI answers.
Side-by-side visibility against named competitors, including who appears first, who is cited, and how each brand is framed.
Prioritized fixes for content, schema, crawler access, source-building, comparison pages, and reputation gaps.
Set the domain, competitors, regions, and initial prompt library. Establish mention rate, share of voice, sentiment, and citation baselines.
Prioritize the highest-impact recommendations across content clarity, schema, comparison pages, crawler access, and third-party sources.
Run GEO tests and compare before/after AI answers to see which changes moved mentions, citations, and position.
Start with a focused prompt set, see where your brand appears, and turn the gaps into a practical action plan your team can ship.
