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Answer Engine Optimization

3 articles

Handdrawn editorial illustration on a cream background splitting two worlds: on the left, a stack of classic search result pages with a search bar and ten blue ranked links labelled SEO; on the right, an AI answer speech bubble with a small robot, lines of generated text, and three cited-source chips labelled AEO / GEO, the shift from ranking links to being cited inside the AI answer
AI Search9 min read

AEO vs GEO vs SEO: The Difference, and Which One You Need in 2026

SEO ranks links in classic search. AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) optimise to be cited inside the AI-generated answer in ChatGPT, Perplexity, Google AI Overviews, Gemini and Copilot. AEO and GEO are near-synonyms for the same goal; SEO is a separate, still-necessary discipline that feeds the retrieval pool. The practical answer in 2026 is that you do all three, but you measure AEO/GEO on citation share, not blue-link position, and the winning levers (off-site footprint, entity authority, content shape, freshness) sit mostly off your own site.

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Hand-drawn editorial illustration: a visibility dashboard labelled 'tracked' on the left; on the right a person pinning up off-site proof — reviews, community threads, articles — that gets a brand cited in an AI answer, labelled 'fixed'.
AI Search8 min read

You're Tracking AI Search Visibility. Who's Actually Fixing It?

AI search visibility tools tell you where your brand is missing from AI answers. They don't fix it. Here's why the number doesn't move when you only buy the dashboard — and what closing the gap actually takes in 2026.

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Riso-print illustration of the Schmitdy dolphin harbourmaster with a clipboard appraising three candidate pilot boats beside a large B2B cargo ship, with channel buoys and a candy-swirl sun.
AI Search Growth8 min read

Best AI Search Agencies for B2B Companies: GEO Audit, Content, and Agentic Execution

The best AI search agency for a B2B company is not just a content shop or a dashboard reseller. It should measure prompt-level visibility, explain why AI engines recommend competitors, and turn the source gaps into shipped work.

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