AI Visibility Audit & Roadmap.

We inspect crawlability, indexability, schema, semantic structure, internal linking, page relationships, performance, and the technical signals AI engines use to understand your site.

We map the category, problem, comparison, alternative, use-case, trust, and vendor-selection questions buyers ask, then identify the sources shaping each answer.

We compare mention frequency, answer position, sentiment, citations, authority sources, topic ownership, and the exact evidence helping competitors earn recommendations.

We reconcile names, descriptions, leadership, products, locations, profiles, schema, knowledge-graph references, and third-party mentions to expose missing or contradictory signals.

We identify which executive, company, community, review, LinkedIn, Medium, Reddit, and partner surfaces can be indexed—and where they should reinforce your expertise.

We isolate sources cited for competitors but not your brand, then document the missing topic, proof, placement, relationship, or authority signal behind each gap.

Every opportunity is tied to a prompt cluster, commercial value, current visibility, competitive distance, required evidence, implementation difficulty, and expected movement.

The queue specifies the exact answer pages, articles, comparisons, research, technical fixes, citation targets, distribution channels, owners, and publishing sequence.

Each recommendation includes its dependency, owner, brief, benchmark, and success signal. Your team can run it internally or use it as the operating brief for the End-to-End AEO/GEO Package.