Find Out Why Your Visibility Dropped, Then Fix It

It is a managed diagnosis and repair process for brands that have lost mentions, citations, recommendations, or referral traffic in AI search. It begins by establishing whether the decline is persistent, ordinary model variance, or a tracking artifact, then prioritizes technical, content, entity, and authority work engine by engine.

GEO recovery is an emerging name for the same problem. We use AI visibility recovery because it describes the work more accurately: it spans answer engines, large language models, Google AI surfaces, and the traditional search systems that can affect whether your pages are eligible for retrieval at all.

The candidates include ordinary answer variance, a platform or model change, weaker organic visibility, crawl or indexing problems, content decay, entity ambiguity, lost third-party corroboration, and competitor displacement. We identify the affected engine, prompt family, source, and page before prescribing anything.

We preserve a versioned prompt and paraphrase set, record the engine, date, locale, and observable context, and compare repeated observations per engine. The finding can be a persistent decline, inconclusive variance, or a tracking artifact. A single screenshot is never treated as proof of loss.

There is no universal recovery timeline. Timing depends on the failure mode, the affected engines, crawl and index conditions, the work required, and when platforms reprocess sources. We report leading and commercial indicators separately instead of naming a restoration date nobody can control.

Search health affects whether pages are discoverable and eligible on some AI retrieval surfaces, so technical and content regressions are always worth investigating. It does not follow that every engine uses the same index, and a stronger Google ranking does not entitle you to a citation or a recommendation.

A citation means an answer referenced your source. A recommendation means the answer selected or endorsed your brand, product, or action. Brands get cited without being recommended constantly, which is why we track citations, mentions, recommendation prominence, sentiment, referrals, and conversions separately.

Yes. Robots rules, status codes, canonicals, rendering, indexing, structured data errors, and crawler access all affect eligibility. Fixing them improves access and clarity. No individual fix obligates an AI system to select your page.

We compare repeated, engine-specific observations against the preserved baseline and keep citations, mentions, recommendations, factual accuracy, sentiment, referral traffic, and attributed or influenced conversions apart. We do not publish a blended universal AI rank, and we do not present one run as a trend.

Independent sources help AI systems corroborate facts about your brand and understand where you belong in a category. We map weak or missing coverage and execute approved authority work, while treating coverage as an input to selection rather than a lever that forces it.

An audit describes what might be wrong and stops there. A managed engagement confirms the loss, ranks the failure modes, implements approved technical and content repairs, coordinates entity and authority work, re-measures by engine, and keeps a decision-ready backlog moving.

A senior strategist owns the diagnosis and the plan, and a Technical Operations Specialist implements the technical work. You get weekly strategy calls, weekly written updates, and direct Slack access.

No. AI answers are probabilistic and platform-specific, and search systems keep changing. TopFound commits to rigorous diagnosis and evidence-led implementation. We do not guarantee a permanent citation, recommendation, ranking, traffic level, revenue result, or recovery date.