Field notes on entity SEO, natural language processing, AI visibility, E-E-A-T, semantic systems, and the decisions behind sustainable search growth.
I tested three conversations in my Follow-Up Query Studio to see when Gemini searched again, how earlier context appeared in reported queries, and what changed in the cited sources.
A practical approach to information gain: collect verified details, explain their limits, and help travellers resolve the questions that affect a booking.
How I would audit the relationships between entities, verify their conditions, and find the missing facts that stop customers getting clear answers.
How to test whether a content edit improved AI visibility using fixed prompts, baseline observations, comparison pages, and clear reporting.
How I would connect hotels, rooms, rates, tours, and dated offers in a travel knowledge graph—and test whether those relationships support a correct booking.
How I would use Bing’s AI Performance report without confusing citations with visits, rankings, or revenue—and turn the data into practical content decisions.
No noise. Just practical observations about search systems, AI visibility, and content that earns attention.
Follow me on LinkedIn