SEO · AEO/GEO · SCHEMA
AI Search Visibility: SEO, AEO and discoverability for B2B brands
AI search visibility starts with the same foundations as good search: useful content, crawlable structure, clear entities and evidence. I combine technical SEO with measurement for emerging AI answer surfaces rather than treating AEO as a separate trick.
What it means
I use “AI search visibility” as an umbrella for the work required to make a brand and its expertise understandable and discoverable across traditional search and AI-assisted answer experiences. That includes technical SEO, content architecture, schema, internal linking and measurement.
The problem it addresses
A strong brand can still be difficult to discover if its site is technically weak, its expertise is fragmented or its pages do not clearly explain what the company knows. AI answer systems add another reason to make important claims explicit in crawlable text and connect them to credible supporting pages.
How I approach it
At Think & Grow, I led technical and content SEO, set up AI search visibility tracking in HubSpot, implemented schema markup across the Webflow site and supported a 286-page website migration with Demandflow. I treat the AI layer as an extension of search fundamentals rather than a replacement for them.
A practical workflow
- 01
Fix crawlability, page structure, titles, canonicals and internal linking.
- 02
Map commercially relevant topics to substantive pages rather than keyword variants.
- 03
Make expertise and evidence visible in text, with clear entity relationships and schema where appropriate.
- 04
Track Google performance and emerging AI referral/search signals separately.
- 05
Improve pages based on real queries, visibility and conversion behaviour.
Tools and systems
Measured search evidence
I do not claim specific ChatGPT, Gemini or other AI-answer rankings unless they are directly measured and attributable.