LaVioLab Atlas

LaVioLab Atlas helps the author of a small product or side project get it found in search and in AI answers. It connects ChatGPT to the Pet Project Atlas (atlas.smolevich.com), a playbook written from measured logs and search consoles, and adds three skills that work from your own reports and exports.

Tools. All four only read the published atlas and need no account.

• search_playbook finds the sections of the atlas that answer a question and returns a short verbatim quote with a link to the exact section, in English or Russian.
• get_page returns one atlas page in full, with the date it was measured and its sources.
• list_sections lists the route, from checking demand to taking the first payment, with every page in it.
• checklist returns the atlas checklist items for a topic such as robots.txt and AI crawlers, llms.txt, canonical URLs, Search Console or JSON-LD, each with the page that explains it, plus how to verify the result.

Skills.

• start takes the reports of two open-source audits, seo-audit and geo-audit, merges them into one list ordered by what blocks what (fetchable, allowed, indexed, findable, quotable, attributed), links each item to the atlas page that explains it, and names three things to do this week. Without both reports it says how to get them and stops.
• content-plan turns a description of the product and an optional Search Console query export into query clusters, one page per cluster, and a writing queue ordered by intent and money. It never invents search volumes.
• report reads Search Console Performance and Page indexing exports plus your own product export, and returns six numbers with the delta against the previous period, three conclusions and one action.

Limitations: the tools read only the atlas; they do not crawl or audit your site and do not connect to Google or to any account. Every number in a report comes from a file you upload. It does not write pages for you. Made by Stanislav Shupilkin at LaVioLab; open source under the MIT licence.