Blck Alpaca Agentic Audit & Knowledge Base

Checks a publicly accessible website for AI-agent readiness and GEO: can AI agents reach, read, understand and act on it? Fetches the site the way agents do (GET only, no login, no changes) and scores five weighted areas: access 30, understanding 25, discoverability 20, EU transparency and privacy signals 15, actionability 10. Returns the overall score, area scores, the three findings with the most impact, every single check, known limits and a link to the full report. Each top finding carries evidence, a next step and, where one fits, a Blck Alpaca Knowledge Base guide that explains the fix. Checks on young standards such as llms.txt are bonus only: they add at most 5 points, and missing them costs nothing. Check texts are in German. Not a legal assessment. Scoring model and every check documented at https://blckalpaca.at/en/agentic-check#methodik

Full text of a Knowledge Base article as Markdown, plus short definition, key takeaways, statistics with their sources, and FAQ. The path triple comes from search_knowledge_base or list_knowledge_topic_articles.

Returns the structure of the Knowledge Base: every category with its topics, each with slug and URL. The entry point when no search term is known.

All published articles in a topic. Category and topic slug must belong together and come from the same language; if they do not, the response says why.

Full-text search across the titles, short definitions and main keywords of Blck Alpaca's Knowledge Base articles (SEO, GEO, AI agents, marketing automation). Returns matches with URL and path triple; get_knowledge_article fetches the full text.