The problem this solves
Content gets written and published into a site that undermines it. Pages compete with each other for the same query, titles and metadata are afterthoughts, structured data is absent, and nothing about how answers are formatted helps an AI assistant quote the site as a source. Meanwhile a growing share of buyer research happens inside AI answers, where sites without clear, extractable claims simply do not exist. Publishing more content onto a broken foundation just scales the problem.
How we work
The build starts with a technical and structural audit: crawlability, indexation, site architecture, page speed basics, duplicate and competing pages, and metadata hygiene, on HubSpot CMS or whatever currently serves your site. Findings get fixed or filed, with the fixes we can ship directly shipped.
Then the strategic layer: a topic architecture that maps what you want to be found and cited for, organised into clusters with clear pillar pages and internal linking that tells search engines what the site is about. Keyword targets are chosen for business value, not volume trophies.
The AEO half treats AI assistants as a first-class audience. Key pages get restructured so they lead with direct, quotable answers: clear definitions, specific claims, honest numbers, and structured data that makes the content machine-readable. The test we design for is simple: when an assistant answers a question in your domain, your site should be citable, and generic marketing prose never is. The engagement hands over a foundation document covering the architecture, the standards for future content, and the prioritised list of what to build on it next.
Deliverables
- Technical SEO audit with fixes shipped or prioritised
- Topic cluster architecture with pillar pages and internal linking plan
- On-page standards: titles, metadata, heading structure, answer-first formatting
- Structured data implementation on key page types
- AEO restructuring of priority pages for quotability by AI assistants
- Foundation handover document with content standards and next priorities
What buyers ask before scoping.
What exactly is AEO, and is it different from SEO?
Answer engine optimization: making your content the source AI assistants cite when they answer questions in your domain. It overlaps with SEO, both reward clear structure and real substance, but AEO specifically favours direct answers, concrete claims, and machine-readable formatting over the keyword-shaped prose that traditional SEO tolerated.
Does our site need to be on HubSpot CMS for this?
No. The audit, architecture, and standards apply to any stack; what changes is who implements. On HubSpot CMS we ship most fixes ourselves. On other platforms we deliver specific, developer-ready specifications and review the implementation. If a migration to HubSpot CMS is on your roadmap anyway, this work sequences naturally with it.
What results should we expect, and when?
From the foundation itself: cleaner indexation and structure fairly quickly, but rankings and AI citations follow content published on top of it over months, not weeks. We will not promise positions or traffic curves. The honest framing is that this build determines whether your future content compounds or evaporates.
Sounds like your situation?
30 minutes, your calendar, no slide deck. We tell you honestly whether this module fits.
Book discovery call