Rank on Google.Get cited by AI.
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.
Real tests. Real numbers. Nothing hidden.
This site is the experiment - I publish its metrics as it climbs into Google and the AI engines.
Everything to make search - old and new - work for you
GEO / AI Search
Get cited by ChatGPT, Perplexity & Google AI Overviews - the search layer replacing the blue links.
Explore →Technical SEO
Make your site legible to Google and AI crawlers - schema, llms.txt, IndexNow, the rules that matter.
Explore →Original Studies
First-hand experiments with real numbers - the AI-search data you can't get from recycled advice.
Explore →Free Tools
Checkers, generators & calculators that do the work - no signup to run them.
Explore →Most AI-search advice cites a vendor.
This cites a method.
Three pieces of work that aren't available anywhere else — and a registry of every prediction made here that didn't hold, which is the part the field usually leaves out. Why the method gets published before the findings is the short version of the whole argument.
The AI Citation Index
A quarterly, open measurement of what seven AI search engines actually cite. Query set, raw data and methodology published in full — the pre-registration is already up.
Where AI SEO statistics actually come from
We took twelve of the most-quoted numbers in AI search and followed each one back, hop by hop, to whoever measured it first. Most don't survive the trip.
Does llms.txt actually work?
A 90-day server-log deployment on this site. The answer was no, at least on the evidence available — and the negative result is published as one.
The AI Citation Tracker
Every quarter I run a fixed panel of prompts through ChatGPT, Perplexity, Gemini & Google AI Overviews. I publish exactly who gets cited for SEO & marketing, and how fast it's shifting. Nobody else tracks this on a fixed panel.
Answer-first guides,
no recycled fluff
Six to start with. The full archive runs to 56, and the study protocols are published separately.
What is GEO?
Optimizing content so AI systems like ChatGPT, Perplexity and Gemini cite it when generating an answer. That is Generative Engine Optimization.
The 50-point technical GEO audit
A complete technical checklist to make a site under 500 pages fully legible to Google, Bing and the AI answer engines.
How to get cited by ChatGPT: 9 tactics, with data
The Princeton-backed levers - statistics, quotes, structure, freshness - that actually move AI citations.
The GEO Tactic Evidence Scoreboard
Every tactic the industry recommends for getting cited by AI search, graded by the actual evidence behind it. Not by how often it is repeated.
The AI Bot User-Agent Registry
Every AI crawler that matters for a website owner in one place: what it's for, how to verify it, and what to put in robots.txt. Maintained, not a one-off listicle.
AI SEO statistics
Every AI-search statistic on this site, in one table, each with a verification grade and a link to full context.
Built to answer one question - fast
No signup to run them. Email only for the full report.
AI Overview Exposure Checker
See which of your keywords trigger AI Overviews - and how much traffic is at risk.
Try it → Freellms.txt Generator
Generate and validate a spec-correct llms.txt for your site in one click.
Try it → FreeSchema Markup Generator
FAQ, Article, HowTo & Person JSON-LD, ready to paste - tuned for AI citation.
Try it → FreeAI Traffic-Loss Calculator
Model how much organic revenue AI Overviews could cost you - and what to recover.
Try it →One experiment. Every week.
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.
Ritik Namdev
Growth marketer, Webflow builder, and a full-time operator running these experiments on real sites - not in theory.
Real tests. Real numbers. In public.
"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. I'm 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. Lately that includes running the technical work through agents, which breaks in more interesting ways than it's usually given credit for.