The problem this solves
Buyer research has split into two surfaces: classic search results and AI-generated answers, and most companies are unmeasured on both. The symptoms: rankings drifting down while nobody watches, content written for keywords no buyer uses, technical issues quietly suppressing pages, and total absence from AI answers because nothing on the site is structured in a way a language model can confidently cite. Competitors who show up in the answer get the shortlist spot; everyone else gets nothing, invisibly.
How we work
The audit covers three layers. Technical: crawlability, indexation, site speed, structured data, and the rendering issues that keep pages out of the index or below their weight. Content: what you rank for versus what your buyers actually search, coverage gaps against the questions that precede a purchase in your category, and content quality through the lens of what earns rankings now.
Then the AEO layer, which most SEO audits skip: whether your pages give answer engines something citable, direct answers stated plainly, entities and claims machines can extract, structured data that removes ambiguity, and how you currently surface in AI answers for the questions that matter commercially. We build for this on our own properties, so the recommendations come from practice rather than a checklist.
The deliverable is a findings report across all three layers with a prioritized fix list: technical corrections, content gaps ranked by commercial intent, and the citability changes that make your pages usable by answer engines.
Deliverables
- Technical SEO audit: crawlability, indexation, speed, structured data
- Ranking and content gap analysis against commercially relevant queries
- AEO assessment: citability, entity clarity, and current AI answer presence
- Competitor visibility comparison across search and AI answers
- Prioritized fix list spanning technical, content, and citability work