SeenRank

The SeenRank Blog

Field notes on AI search, GEO, and answer-engine optimization

How ChatGPT, Claude, Perplexity, and Google AI Overview choose which brands to cite, what to do when yours isn’t one of them, and how to measure visibility week over week.

Topics we cover

  • AI search visibility. What it is, how it’s measured, and what to do when you’re invisible. See the pillar guide: AI Search Visibility: the 2026 guide.
  • Generative engine optimization (GEO). The Princeton study, llms.txt, the 41% citation lift from statistics, and the rules of GEO content.
  • Answer engine optimization (AEO). Featured snippets, People Also Ask, Google AI Overview, FAQPage schema, the 40-55 word answer pattern.
  • Per-engine playbooks. Specifics for ChatGPT, Claude, Perplexity, and Google AI Overview.
  • Case studies and original research. What we see when we audit hundreds of brands across four AI engines weekly.

Posts

  • SeenRank vs Profound: which AI visibility tool fits which team

    Profound is the enterprise-scale answer for AI search visibility tracking, built for large brands with dedicated analytics teams. SeenRank is the weekly visibility tool for solo operators and agencies who want a number, an action list, and no contract. Here is the honest comparison, dimension by dimension.

    Updated 2026-05-13

  • llms.txt: what it is, who reads it, do you need one

    llms.txt is a markdown file at your domain root that gives AI agents a curated map of your most important content. Adoption is early in 2026, no major AI engine has publicly committed to acting on it, but the cost to publish is near zero. Here is the full picture.

    Updated 2026-05-13

  • The Princeton GEO study, explained for marketers

    In 2024, researchers from Princeton, Georgia Tech, Allen Institute for AI, and IIT Delhi published the first peer-reviewed quantification of what increases citation rate inside generative engines. Statistics: +41%. Quotes: +28%. Keyword stuffing: negative. Here’s what they tested, what worked, what didn’t, and what to actually do with it.</p>

    Updated 2026-05-13

  • How ChatGPT chooses which brands to mention

    ChatGPT picks brands using two layers: a frozen training-data layer (which decides brand associations) and a Bing-powered web search layer (which decides citations in the answer). Here’s how each one works, what moves each, and the ChatGPT-specific tactics.

    Updated 2026-05-13

  • The 2026 GEO checklist

    A 27-item generative engine optimization checklist for 2026, organized by leverage. Per-page items, sitewide infrastructure, off-site brand work, and measurement. Bookmark and run through this week.

    Updated 2026-05-13

  • AEO vs GEO vs SEO: a plain-English breakdown

    SEO wins blue links. AEO wins the answer box. GEO wins the citation slot inside AI answers. Same content discipline, three different surfaces. Here’s the plain-English breakdown with no acronym soup.

    Updated 2026-05-13

  • What is generative engine optimization?

    Generative engine optimization (GEO) is the practice of structuring content so AI engines (ChatGPT, Claude, Perplexity, Gemini, Google AI Overview) cite your domain when answering user queries. Here’s the plain-English definition, why it matters in 2026, and how it differs from SEO.

    Updated 2026-05-13

  • GEO vs SEO: the real difference in 2026

    SEO ranks you on Google’s blue links. GEO (generative engine optimization) gets you cited inside ChatGPT, Claude, Perplexity, and Google AI Overview answers. They share most of the same content discipline but optimize for different surfaces. Here’s how they overlap, where they diverge, and how to do both.

    Updated 2026-05-13

  • How to find out which AI engines are sending you traffic

    AI engines mostly don’t pass a clean referrer. To find out which ones (ChatGPT, Claude, Perplexity, Google AI Overview) drive your traffic, you combine four methods: referrer logs, UTM-tagged links, server-side log parsing, and a purpose-built AI traffic pixel. Here’s the playbook.

    Updated 2026-05-13

  • Can you pay to appear in ChatGPT answers? (No, but here’s what works)

    You cannot pay ChatGPT, Claude, Perplexity, or Google AI Overview to mention your brand. There is no ad slot inside generative answers in 2026. Here is what actually works, ranked by leverage.

    Updated 2026-05-13

  • How often do AI engines update what they know about your brand?

    AI engines update in two speeds. The web-search layer (Perplexity, ChatGPT Search, Google AI Overview) sees new content in 3-5 business days. The deeper model layer (how the AI talks about you, even without a citation) takes weeks to months. Here’s the breakdown by engine.

    Updated 2026-05-13

  • Free AI visibility checker: what to look for in the results

    A free AI visibility check returns four pieces of information that matter: whether you’re mentioned, where in the answer, who got mentioned instead, and the tone of the mention. Here’s how to read each one.

    Updated 2026-05-13

  • Why your brand isn’t showing up in AI answers (7 reasons)

    Seven concrete reasons AI engines (ChatGPT, Claude, Perplexity, Google AI Overview) don’t mention your brand when customers ask, ranked by how often we see each one, with the fix for each.

    Updated 2026-05-13

  • How to check if Perplexity mentions your company

    Perplexity shows every citation it used, so checking whether it mentions your company takes one query and ten seconds. Here is the method, what to do when you are not cited, and how it differs from ChatGPT.

    Updated 2026-05-13

  • Does my brand show up in ChatGPT? Here’s how to check

    You can check whether ChatGPT mentions your brand by asking it a real buying-intent question about your category and reading the answer. Here is the 5-minute method and the free tool that runs it for you.

    Updated 2026-05-13