llms.txt · diff

git:20260709.553c4f1 to git:20261009.b668c1f

6 added, 6 removed. Audit A to A.

- # THL Open — AI-visibility engineering (GEO)
+ # THL Open: AI-visibility engineering (GEO)
- > The open layer of Tech Horizon Labs' GEO / AI-visibility practice: a Claude Code skill suite, two original tools, and the method that ties them together. GEO — Generative Engine Optimization — is how a business stays inside the answer when its customers ask ChatGPT, Claude, Perplexity, or Google's AI Overview instead of clicking a blue link.
+ > The open layer of Tech Horizon Labs' GEO / AI-visibility practice: a Claude Code skill suite, two original tools, and the method that ties them together. GEO (Generative Engine Optimisation) is how a business stays inside the answer when its customers ask ChatGPT, Claude, Gemini, Perplexity or Google's AI Overviews instead of clicking a blue link.
## Start here
- - [Are you found by AI? — free 60-second scan](https://areyoufoundbyai.com): the LIVE visibility measurement — asks ChatGPT, Claude, Perplexity and Google AI whether they actually name you, and who they name instead. This repo is the readiness diagnosis behind it. Hosted, no install.
- - [The THL GEO Method](https://github.com/techhorizonlabs/thl-open/blob/main/docs/THL-GEO-METHOD.md): the three-layer workflow — dimensional audit, external benchmark, deliverable — and the scoring discipline that makes it repeatable.
+ - [Are you found by AI?, the free scan](https://areyoufoundbyai.com): the live visibility measurement, hosted, no install. The free scan asks two buyer questions on ChatGPT and Gemini and shows whether they name you and who they name instead. Pro re-asks up to 25 buyer questions every week across seven engines. The headline measure is the named share of saved answers. This repo is the open readiness audit that sits beside it; it is not the formula behind the product's scores.
+ - [The THL GEO Method](https://github.com/techhorizonlabs/thl-open/blob/main/docs/THL-GEO-METHOD.md): the three-layer workflow (dimensional audit, external benchmark, deliverable) and the scoring discipline that makes it repeatable.
## Tools (built by THL)
- - [agent-readiness-scan](https://github.com/techhorizonlabs/thl-open/tree/main/skills/agent-readiness-scan): turns Cloudflare's isitagentready.com check into audit-grade artifacts — a fixed-schema CSV, a 0–100 score, and the evidence behind it.
+ - [agent-readiness-scan](https://github.com/techhorizonlabs/thl-open/tree/main/skills/agent-readiness-scan): turns Cloudflare's isitagentready.com check into audit-grade artifacts: a fixed-schema CSV, a 0 to 100 score, and the evidence behind it.
- [audit-report-kit](https://github.com/techhorizonlabs/thl-open/tree/main/tools/audit-report-kit): turns an audit's JSON into a branded client PDF plus compile-checked JSON-LD, ready to paste.
- - [GEO skill suite](https://github.com/techhorizonlabs/thl-open/tree/main/skills): citability scoring, AI-crawler access, llms.txt, schema markup, brand-mention scanning, platform-specific optimization, technical SEO, content E-E-A-T, and report generation.
+ - [GEO skill suite](https://github.com/techhorizonlabs/thl-open/tree/main/skills): citability scoring, AI-crawler access, llms.txt, schema markup, brand-mention scanning, platform-specific optimisation, technical SEO, content E-E-A-T, and report generation.
## Method and evidence
- [Sources](https://github.com/techhorizonlabs/thl-open/blob/main/docs/SOURCES.md): the primary research the method is grounded in, and what it does not claim.
- [How THL Open compares](https://github.com/techhorizonlabs/thl-open/blob/main/docs/HOW-WE-COMPARE.md): an honest comparison with other GEO tools.
## About
- [Tech Horizon Labs](https://techhorizonlabs.com): the Australian, Claude-native AI-visibility and GTM studio behind this repo. Done-for-you GEO deployed on Cloudflare, into the workspace clients already run.