Agentic | Machine-readable feeds for LLMs & agents

We eat our own cooking.
Open to every crawler.

ClickNorms publishes structured feeds designed for LLMs, AI assistants, and autonomous agents to ingest, summarize, and cite. If you're building a tool that reads us, here are the entry points.

llms.txt ~2 KB

Site summary for LLMs

A short, human-readable Markdown summary of what ClickNorms is and where to look. Follows the proposed llms.txt standard.

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llms-full.txt ~8 KB

Full content, one file

Articles, case studies, tool descriptions, and about copy concatenated into single Markdown. Ingest in one fetch — no crawling.

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posts.json JSON Feed 1.1

Structured article feed

Every article as a JSON object — id, url, title, summary, tags, date, author. Machine-queryable; perfect for agent pipelines.

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rss.xml RSS 2.0

Classic RSS feed

For readers, aggregators, and any tool that still speaks RSS. Updated each Tuesday with the weekly briefing.

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sitemap.xml URLset

URL discovery

Every canonical URL on the site, with last-modified timestamps. Used by Googlebot, GPTBot, ClaudeBot, and the rest.

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robots.txt All allow

Crawler policy

GPTBot, ClaudeBot, Google-Extended, PerplexityBot, CCBot, Applebot-Extended — all explicitly allowed. We want to be cited.

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// Crawlers we welcome

Every major AI crawler has the green light.

GPTBot
OpenAI
ChatGPT-User
OpenAI
ClaudeBot
Anthropic
Google-Extended
Google AI
PerplexityBot
Perplexity
CCBot
Common Crawl
Applebot-Extended
Apple Intelligence
Meta-ExternalAgent
Meta AI
// Why this exists

ClickNorms writes about AI search.
So we built ClickNorms for AI search.

The same playbook we ship to clients runs here: open crawler policy, layered structured data, an entity graph that reconciles authors and topics, and a ready-to-ingest llms-full.txt. Every page on this site is built to be summarized, cited, and recommended.

If you're crawling us — welcome. If you're a human curious how the sausage is made, every feed above is just text. Read away.