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Being mentioned by ChatGPT is not enough if it calls your products overpriced. A step-by-step process to analyze and improve how AI assistants talk about your brand, with Nike as an example.
Five truths about AI search shared at the SEO & GEO Summit in Paris, and the 4-step GEO framework Qwairy gives every client to get recommended by ChatGPT, Gemini and other AI engines.
Most AI visibility checks stop at the first answer. But AI assistants turn questions into conversations, and the follow-up questions they suggest decide which brands stay in the race.
A complete, practitioner-level guide to Answer Engine Optimization: what AEO is, how answer engines like ChatGPT, Perplexity and Google AI Overviews select and cite content, the core levers, a step-by-step workflow, and how to measure it.
Most analytics tools miss or misclassify AI referral traffic by default. This step-by-step guide shows you how to properly track visits from ChatGPT, Perplexity, Claude, Gemini, and other AI platforms in GA4, Plausible, and Matomo.
A practical three-way breakdown of SEO, answer engine optimization, and generative engine optimization: what each one means, where they overlap, and how to run them as a single AI visibility program.
Not all AI crawlers do the same job. Learn which bots to allow or block in robots.txt - GPTBot, ClaudeBot, PerplexityBot and more - without accidentally deleting yourself from AI answers.
A practical, cross-engine playbook for earning citations from AI engines like ChatGPT, Perplexity, Gemini and Google AI Overviews. Learn how citations are chosen, the tactics that work across engines, and how to measure your citation share.
Most AI crawlers read raw HTML and never run your JavaScript, so client-side content is invisible to them. Learn how to test for it and fix it with SSR, SSG, or prerendering.
A data-backed breakdown of the factors that actually get your pages cited by AI answer engines like ChatGPT and Perplexity - and what matters far less than most checklists claim.
A complete, data-backed guide to Generative Engine Optimization (GEO) for SEOs. Covers how LLMs consume and select content, semantic optimization, E-E-A-T signals, page typology, and content maintenance — with primary sources throughout.
A practical, honest look at what llms.txt is, who actually supports it, and whether adding one helps your AI visibility. Includes a step-by-step guide and realistic expectations.