The problem this solves
Buyers increasingly get answers from AI assistants before they ever see a search results page, and most B2B sites are invisible in both places. Content gets published on whatever topic felt right that week, targets keywords nobody with budget actually searches, and is structured so that neither crawlers nor language models can lift a clean answer from it. Traffic reports stay flat and nobody can say which topics deserve the next quarter of effort.
How we work
The research phase looks at three things: what your buyers actually search and ask, what search engines and AI answer engines currently return for those queries and who gets cited, and where your existing content and authority stand against that.
From there we build the topic strategy: keyword and topic clusters mapped to buying intent, prioritized by achievable impact rather than raw volume. The AEO layer defines how content must be structured to be citable: direct answers up front, question-led headings, consistent entity naming, and schema where it helps machines parse the page.
The strategy closes with a measurement plan that covers both classic rankings and your presence in AI-generated answers, so progress is visible in the channel where it increasingly matters.
Deliverables
- Topic and keyword cluster map prioritized by intent and difficulty
- AEO content guidelines: structure, schema, answer patterns
- Competitor and citation gap analysis
- Content priority list for the next two quarters
- Measurement plan for rankings and AI answer presence