THL Open

AI-visibility engineering, the open way

The open layer of how Tech Horizon Labs runs GEO / AI-visibility audits — a Claude Code skill suite, two original tools, and the method that ties them together.

⚡ Are you found by AI?  — run the free 60-second scan →

_{The live measurement: it asks ChatGPT · Claude · Perplexity · Google AI whether they actually name you, and who they name instead — no install, no Claude Code, just the answer. This repo is the readiness diagnosis behind that score.}

A client-ready audit — composite score, evidence-backed findings, ranked fixes — produced by audit-report-kit in this repo. (Sample data is fictional.)

Search is splitting in two. A growing share of your future customers will never click a blue link — they'll get an answer straight from ChatGPT, Claude, Perplexity, or Google's AI Overview. GEO — Generative Engine Optimization — is how you stay inside that answer. This repo is how we measure it, engineer it, and prove the movement.

We're an Australian AI-visibility agency. This is the open layer of our practice: the method we actually use on client work, the tools we built ourselves, and our improvements to the open-source GEO suite we build on. The calibration data, client playbooks, and full engagement pack stay proprietary — but the method and the utilities are here, for free.

Three ways to get found by AI

Same method, three depths — start wherever you are:

The method (start here)

Everything in this repo is organised around one opinionated workflow — the THL GEO Method. Three layers, each answering a different question:

flowchart TB
    A["1 · Dimensional audit — geo-audit<br/>six GEO dimensions → a 0–100 composite + action plan"]
    B["2 · External benchmark ★ — agent-readiness-scan<br/>Cloudflare's 0–100, tracked as a delta across re-audits"]
    C["3 · Deliverable ★ — audit-report-kit<br/>a branded PDF + compile-checked JSON-LD to paste"]
    A --> B --> C
    A -.-> C
    classDef thl fill:#6993ff,stroke:#1a1a2e,color:#ffffff;
    class B,C thl;

The discipline that makes it repeatable: every score traces to evidence, the composite is a fixed formula, and you verify the artifacts — not that "a run happened." Full write-up in docs/THL-GEO-METHOD.md; the run-time QA lives in the audit checklist.

What's inside

★ Built by THL, end to end

The GEO skill suite

A comprehensive set of Claude Code skills for Generative Engine Optimization — full audits, citability scoring, AI-crawler analysis, llms.txt, schema markup, brand-mention scanning, platform-specific optimization, technical SEO, content E-E-A-T, and report generation.

Honest attribution: the geo-* skills are an improved fork of geo-seo-claude by Zubair Trabzada (MIT). We've de-rotted them, fixed portability, and wired them into our method and tools — but the foundation is his good open-source work, and we credit it. See NOTICE.md and CHANGELOG.md. Improving and crediting open source is the standard we hold ourselves to.

Quickstart

As a Claude Code plugin (installs the whole suite). Run these as two separate
commands — paste the first, press Enter, then paste the second (pasting both at once
makes Claude Code treat the blob as one broken /plugin call):

/plugin marketplace add https://github.com/techhorizonlabs/thl-open

/plugin install thl-open@thl-open

Use the full https:// URL — the short owner/repo form makes some setups clone via
SSH and fail without an SSH key configured.

Or copy just the skills you want:

cp -R skills/agent-readiness-scan ~/.claude/skills/
cp -R skills/geo-audit skills/geo-crawlers skills/geo-schema ~/.claude/skills/

Then, in Claude Code:

run an agent-readiness scan on example.com
do a GEO audit of example.com

The report kit (Node):

cd tools/audit-report-kit && npm install && npm run report   # → out/*.pdf + out/*.jsonld

👉 New here? Start with examples/ — copy-paste prompts for every
skill and one worked audit (fictional broker) you can read end to end.

Learn more

• examples/ — prompts + a worked end-to-end audit.
• the THL GEO Method — the three layers and the scoring discipline.
• Sources — the primary research the method is grounded in, and what we don't claim.
• How THL Open compares — an honest look at the other GEO tools (and where they're ahead).
• Skill-Authoring Standard — how we author skills, and the bar for PRs.
• evals/ — how we keep the audit repeatable.

Heads up: skills can run code and fetch the open web. Read a skill before you
install it, and treat fetched web content as data, not instructions. There's no
telemetry — nothing here phones home (SECURITY.md). Our authoring
standard bakes this in; we ask the same of contributions.

Who's behind this

Tech Horizon Labs is a Claude-native GTM + AI-visibility studio. We deploy this infrastructure for real clients — insurance brokers, professional-services firms, and scale-ups — on Cloudflare, into the workspace they already run. This repo is the readiness diagnosis we can give away — and areyoufoundbyai.com is the live visibility measurement, free for anyone to run in 60 seconds. Readiness here; visibility there. (How they fit together.)

If it's useful, a ⭐ helps. Issues and PRs welcome — see CONTRIBUTING.md.

License

MIT. The geo-* suite retains its original MIT notice (Zubair Trabzada) per skills/geo/LICENSE-geo-seo-claude; everything else is © Tech Horizon Labs. Use it, fork it, ship it.