Blog
Field notes on AI search.
How AI engines pick the brands they recommend, and what we change on client sites to get picked more often.
- Content
The AI search content refresh playbook
Pages that used to get cited by AI engines can quietly stop. How to pick which pages to refresh using prompt and citation data, what a real refresh involves, and how to confirm it worked.
Read - Audits
The AI visibility audit checklist we run in week one
The checklist behind our first-week AI visibility audit: prompt baseline, competitor share of voice, citation sources, crawler access, content gaps, and AI-referred traffic.
Read - Technical
Can AI crawlers reach your site? How to check robots.txt, CDN rules, and logs
If GPTBot, OAI-SearchBot, ClaudeBot, or PerplexityBot can't fetch your pages, they can't cite them. How to check access in three layers, and what to fix.
Read - Reddit
How Reddit threads shape AI answers, and what to do about it
Reddit threads turn up as sources in AI answers for a lot of buying questions. Why that happens, how to find the threads that matter for your prompts, and how to take part without getting banned.
Read - Google AI Overviews
How to appear in Google AI Overviews
Google says there's no special markup or file for AI Overviews. What actually decides whether your page gets linked, and a step-by-step way to work on it and measure it.
Read - Prompt research
How to choose the prompts worth tracking in AI search
Tracking the wrong prompts gives you a tidy dashboard and no insight. How we build prompt sets that reflect real buyers, with personas, funnel stages, fan-outs, and locations.
Read - ChatGPT
How to get cited by ChatGPT, step by step
A practical order of work for getting your pages cited in ChatGPT answers: check crawler access, pick the prompts, study the sources ChatGPT already uses, and rewrite pages so they can be quoted.
Read - Perplexity
How to get cited by Perplexity
Perplexity searches the web for nearly every answer and puts its sources up front. How to get your pages into that source list: crawler access, prompt research, page format, outside sources, and tracking.
Read - Measurement
How to measure traffic and conversions from AI search
Visits from ChatGPT, Perplexity, and Gemini are easy to undercount in standard analytics. How to track AI-referred sessions and connect them to conversions.
Read - llms.txt
llms.txt: what it does and what it doesn't do
llms.txt is a proposed convention, not a standard the big AI engines have committed to. What the file is, what it can realistically do for you, what it can't, and how to check whether anything reads it.
Read - Query fan-outs
Query fan-outs explained: what AI engines search before they answer
When an AI engine answers a question with search, it often runs several narrower searches first. What query fan-outs are, why citations are won at that level, and how to turn them into a content plan.
Read - Schema
Schema markup for AI search: what to add and what to expect
Structured data helps search engines understand your pages, but it isn't a switch for AI citations. Which schema types to add per template, how to implement them, and how to test whether they changed anything.
Read - Share of voice
How to track competitor share of voice in AI answers
Share of voice in AI answers tells you how often each brand gets named across the questions that matter. How to define it, set it up so the trend means something, and turn it into a to-do list.
Read - AI SEO
What is AI SEO? A plain-English guide for marketing teams
AI SEO is the work of getting your brand named inside ChatGPT, Gemini, Perplexity, and AI Overviews answers. What it involves, how it differs from classic SEO, and how to measure it.
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