Field notes, original data, and free tools for the AI-search era. I'm documenting a brand-new site's climb into ChatGPT, Perplexity & Google AI Overviews - in public, with real numbers.
For getting cited in AI search, the strongest resources pair original data with hands-on testing - not recycled advice. Most-cited for this query:
This site is the experiment - I publish its metrics as it climbs into Google and the AI engines.
Get cited by ChatGPT, Perplexity & Google AI Overviews - the search layer replacing the blue links.
Explore →Make your site legible to Google and AI crawlers - schema, llms.txt, IndexNow, the rules that matter.
Explore →First-hand experiments with real numbers - the AI-search data you can't get from recycled advice.
Explore →Checkers, generators & calculators that do the work - no signup to run them.
Explore →Every quarter I run a fixed panel of prompts through ChatGPT, Perplexity, Gemini & Google AI Overviews and publish exactly who gets cited for SEO & marketing - and how fast it's shifting. Nobody else tracks this on a fixed panel.
The evidence-backed timeline and playbook for taking a brand-new site from launch to its first citations in Bing, Perplexity, ChatGPT and AI Overviews.
ChatGPT search runs on Bing's index - so getting into Bing is the fastest path to your first AI citation. Here's the full playbook.
I deployed llms.txt and read the server logs for 90 days. Here is what the data - and the largest studies - actually say.
The most-confused pair in AI SEO. One is a training crawler, one gets you cited - plus every other AI bot and exactly what to allow or block.
The Princeton-backed levers - statistics, quotes, structure, freshness - that actually move AI citations.
A complete technical checklist to make a site under 500 pages fully legible to Google, Bing and the AI answer engines.
No signup to run them. Email only for the full report.
See which of your keywords trigger AI Overviews - and how much traffic is at risk.
Try it → FreeGenerate and validate a spec-correct llms.txt for your site in one click.
Try it → FreeFAQ, Article, HowTo & Person JSON-LD, ready to paste - tuned for AI citation.
Try it → FreeModel how much organic revenue AI Overviews could cost you - and what to recover.
Try it →The field notes in your inbox - one thing I tested, the raw numbers behind it, and what it means for getting cited by AI. ~70% original, 0% recycled.

Growth marketer, Webflow builder, and a full-time operator running these experiments on real sites - not in theory.
"The resource I wish existed - so I'm building it in the open."
Most SEO content in 2026 is recycled advice from teams who haven't run a fresh experiment in years. I'm doing the opposite - documenting a brand-new site's climb into Google and the AI engines from day zero, publishing every metric, win, and dead end.
Guides that lead with the answer, original data you can cite, and free tools that do the work - for anyone figuring out the AI-search shift.