AI recommendation insights. Blog
Observations, measurement notes, and guides on how answer engines decide which brands they name.
Guides and strategy
- What is AI search optimization? — A clear, deep guide to AI search optimization for US teams: what it is, how it differs from SEO, the signals that move AI answers, and how to measure it honestly.
- How AI search engines choose which brands to recommend — A clear, deep look at how ChatGPT, Gemini, Perplexity, and AI Overviews pick the brands they name, the signals that move the decision, and what US companies can do to earn a place in the answer.
- Why AI recommends brands — How answer engines pick which companies to name, and what actually moves the decision.
- What is LLM search visibility? A complete beginner's guide — The plain-language explanation of how visibility works inside ChatGPT, Gemini, and AI Overviews.
- SEO vs LLM SEO: what's the difference? — Ranking a page and being named in an answer are two different scoreboards. What changes, what carries over, and how to measure each.
- Why your business isn't showing in ChatGPT (and how to fix it) — The five real reasons answer engines leave your company out of the shortlist, and a 90 day sequence that fixes it.
- Traditional SEO is not dead. It is evolving. — What still works from classic SEO, what no longer moves AI answers, and how US teams evolve a search program without throwing away the work that already ranks.
- How large language models find trusted websites — How ChatGPT, Gemini, Claude, and Perplexity decide which websites to trust, cite, and name in an answer, and how a US brand can earn that trust on purpose.
- AI search explained in simple terms — A plain-language guide for US marketing leaders on how AI search actually works, how it differs from Google, and what a brand has to do to show up in the answers buyers receive.
- Google AI Overviews vs ChatGPT vs Perplexity — A clear, deep comparison of Google AI Overviews, ChatGPT, and Perplexity for US marketing leaders: how each answers, how each names brands, and how to measure visibility across all three.
- How AI search is changing digital marketing — A clear, deep guide for US marketing leaders on how AI search is reshaping digital marketing in 2026: where buyers now decide, what the shift does to traffic and attribution, and what to measure instead of rank alone.
- The complete guide to LLM SEO in 2026 — A clear, deep guide for US marketing leaders on LLM SEO in 2026: what it is, how it differs from traditional SEO, the signals that move AI answers, and how to measure whether your brand is actually being named.
- Measurement methodology — How we run sessions, log evidence, and verify that an engine named you before we bill.
