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
What buyers ask before scoping.
What exactly is AEO and why should we care now?
AEO, answer engine optimization, is making your content something AI systems can find, trust, and cite when they answer buyer questions. A growing share of B2B research now ends in an AI answer instead of a results page, and those answers name specific vendors. Being absent there is a silent loss; nothing in your analytics shows the deals that never arrived.
How is this different from a standard SEO agency audit?
Two things. The AEO layer: most SEO audits still stop at rankings and ignore how AI systems consume content, which we treat as a first-class surface. And the follow-through context: we audit as implementers who work in HubSpot CMS and content operations weekly, so the fix list is written to be executed, not to impress in a slide deck.
What do you need from us to run the audit?
Read access to Google Search Console and your analytics, a working session on which queries and buyer questions actually matter commercially, and CMS access if you want the technical findings verified at the source rather than inferred from the outside. On HubSpot CMS portals the technical layer gets especially concrete, since that is where we build daily.
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