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Plain answers on getting named by AI.
Practical articles and short posts for marketing teams on AI visibility and answer engine optimization (AEO): how ChatGPT, Gemini, Claude and Perplexity choose who to name, and what to do about it.
What is answer engine optimization (AEO)? A plain guide for B2B marketers
Answer engine optimization (AEO) is the work of getting ChatGPT, Gemini, Claude and Perplexity to name your company when buyers ask. What it is, why it matters, and where to start.
Read the article →How to check if ChatGPT recommends your brand (step by step)
A step-by-step way to check whether ChatGPT, Gemini, Claude and Perplexity recommend your brand, which rivals they name instead, and how to read the results fairly.
Why AI recommends your competitor instead of you
The common reasons ChatGPT, Gemini, Claude and Perplexity name a rival instead of your company, how to tell which one applies, and what to fix first.
AEO vs SEO vs GEO: what is the difference, and what to do first
SEO, AEO and GEO explained in plain words: what each one aims for, how they overlap, and which work to do first if you want AI tools to name your company.
Schema markup for AI search: what helps and what does not
Which schema markup helps ChatGPT, Gemini, Claude, Perplexity and Google understand your company, the mistakes to avoid, and how to test it for free.
How to measure AI visibility without fooling yourself
AI answers change from run to run. How to measure AI visibility honestly: which questions to use, how many answers you need, and how to tell real change from noise.
Which AI crawlers to allow in robots.txt, and what each one does
GPTBot, OAI-SearchBot, ClaudeBot, Claude-SearchBot, PerplexityBot, Google-Extended: what each AI crawler does, which affect AI search visibility, and a sample robots.txt.
Does llms.txt help AI visibility? What we know
llms.txt is a proposed file that summarises a website for AI. What it is, what the evidence says about whether AI tools use it, and whether to add one.
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