TomHow / Notes
Notes are the public evidence archive.
This is where TomHow publishes approved experiments, crawler checks, GEO findings, schema tests, and public-safe visibility notes.
01 / The notes
Dated, public,
with limits.
2026-07-14 / Buyer questions
Buyer shortlist questions for AI search agencies
2026-05-25 / Corroboration
Why AI tools name some agencies before others
2026-05-24 / llms.txt
llms.txt is a map, not magic
2026-05-24 / Citation gaps
Citation gaps need limits before they need a free tool
02 / The detail
The detail,
when you want it.
What is the notes archive?
This is where TomHow publishes approved experiments, crawler checks, GEO findings, schema tests, and public-safe visibility notes. Private run data, client data, and TomHow internal report findings stay out unless a separate public version is approved.
Approved proof beats big claims.
Why notes exist
The notes archive records public-safe evidence: what was tested, what changed, what did not move, and what should become a larger resource later. It is not a casual blog, it is not a dump for private reports, and it is not a place for vague AI-search opinion.
Each note should point somewhere useful. If the note explains a technical fix, it links to the relevant resource or tool. If it records a visibility test, it links to the audit or reporting route.
Use the archive as the public trail.
Main routes
Start with the audit if you need diagnosis, the AI search page if you need the service overview, the GEO page if you care about generative engines, or the how it works page if you want to see the monthly evidence format.
This is not a casual blog archive.
Publishing model
Notes capture public-safe proof: what was tested, what changed, what did not move, and what should become a bigger evergreen page. Private baseline data stays private. The strongest Notes become resource pages. The strongest resources become industry pages. Everything points back to the AI search audit, AI search services, and GEO services.
What does each note say?
- Buyer shortlist questions for AI search agenciesChoose an AI search provider by what you need done: measurement, diagnosis or implementation. Compare their evidence and scope before comparing labels.
- Why AI tools name some agencies before othersAn answer records a provider selection, not its cause. Inspect the actual sources and test possible explanations before copying a competitor strategy.
- llms.txt is a map, not magicllms.txt can document selected public pages, but Google does not use it for search visibility or rankings. Other systems may ignore it, and it cannot control access.
- Citation gaps need limits before they need a free toolA gap report is useful when the panel, capture conditions and source availability are explicit. Absence records a finding, not a guaranteed repair.
Get the next evidence-led public note when it ships.
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