GEO Pipeline

A project by Qalarc — AI systems studio, Sydney, Australia. Built, shipped and maintained by Qalarc.

The producing half of generative-engine optimization: generates llms.txt, audits every qalarc property for AI-crawler readiness, and maps the intent-query matrix the sites must answer.

Python (stdlib-only)llms.txtJSON-LDCloudflare PagesCI-ready CLI

Generative Engine Optimization is the discipline of making sites answerable by AI engines — ChatGPT, Perplexity, Claude, Codex — when people ask intent questions like "how can I use AI to listen to radios".

This pipeline is the producing half: a stdlib-only Python tool (scripts/geo_pipeline.py) with three commands. llms regenerates the site's llms.txt project index directly from projects.json so it can never drift. check audits all eight qalarc properties at once — llms.txt presence, robots AI-crawler rules, JSON-LD validity, titles, meta descriptions — with a CI-ready non-zero exit on failures. queries maintains the intent-query matrix (geo_queries.json): 44 real queries across 11 clusters, each mapped to the page that should answer it, with gaps flagged.

It pairs with the Universal GEO Analyzer (the measuring half, which tests how AIs actually mention a brand) and fed the /learn/ answer-guide section: four question-shaped pages written to the citation spec AI engines reward — answer-first, operational tables, honest limits, verifiable evidence.

GEO Pipeline

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