/ 01 — LE BLOG

Guides GEO

Tous les articles Guides GEO du blog Echorank : de la méthode sur la visibilité dans la recherche IA, le GEO et ce qu'il faut mesurer.

/ 02 — DERNIERS ARTICLES

A page being split into passages, with one highlighted passage lifted into an AI answer box.Guides GEOHow to structure content so AI answers can actually use itYour page will not be read top to bottom by an answer engine. It will be chopped into passages, and one passage will compete against passages from every other site. These are the structural patterns that make your passages win.2 min de lectureAn answer box listing three competitors, with a fourth brand outside the box separated by five labeled gaps.Guides GEOWhy AI recommends your competitors instead of youIt feels like bias. It is almost always mechanics. Answer engines assemble recommendations from what they can retrieve and corroborate, and there are five specific places where a perfectly good company falls out of that process.2 min de lectureA JSON-LD block feeding a retrieval pipeline that hands classified pages to an answer engine.Guides GEOSchema markup for AI answers: what still matters when the reader is a modelLLMs read prose, so it is tempting to conclude schema is dead. Wrong layer. Retrieval pipelines, knowledge graphs and answer engines still lean on structured data to decide what your page is — and pages that get classified correctly get cited more.2 min de lectureThree lanes of crawler traffic — training, indexing and live retrieval — approaching one robots.txt gate.Guides GEOAI crawler user-agents: who is hitting your site and what to allowEvery AI company runs several crawlers, and they do not all do the same thing. One feeds training, one feeds live answers, one fetches on a user's behalf. Treating them as one bot in robots.txt is how sites disappear from AI answers by accident.3 min de lectureFour measurement bars — coverage, citation share, position and framing — plotted over a repeated weekly prompt run.Guides GEOHow to measure AI search visibility without guessingYou cannot rank-track an answer engine the way you rank-track Google, because there is no stable list of ten results. Here is the measurement model that does work, and the four numbers worth keeping.6 min de lecture