BeFound AI is a WordPress plugin designed to help businesses ensure their websites are accessible and trustworthy to AI search engines such as ChatGPT, Gemini, Perplexity, and Claude. The plugin connects a WordPress site to a BeFound account, enabling the automated publication of visibility fixes that support AI-driven discovery and indexing. The primary feature of BeFound AI is the management of the llms.txt file, which is served live at the website’s root (yourdomain.com/llms.txt). This file is delivered dynamically by WordPress without writing to disk in most hosting environments. For certain managed hosts, such as WP Engine and Kinsta, where server configurations may prevent dynamic serving of .txt files, the plugin detects when the dynamic route is unreachable and writes a single llms.txt file to the site root as a compatibility fallback. This file is removed automatically when no longer needed. In addition to the llms.txt file, BeFound AI is structured to provide further technical fixes, including schema and metadata updates, which are delivered automatically through the same connection between the WordPress site and the BeFound platform. These features are intended to improve the ability of AI search engines to find, read, and trust the business represented by the site. The tool is aimed at businesses that use WordPress and want to enhance their visibility in AI-powered search results. Details regarding pricing or licensing are not specified in the available evidence.
BeFound AI is a Structured data & machine readability project. It focuses on ensuring websites are discoverable and trusted by AI search engines through automated technical SEO fixes. BeFound AI is a consumer product aimed at website owners and SEO professionals. There is a free tier. It runs on the web.
Behind BeFound AI is payanigroup, and it first shipped in 2026. Among its 5 catalogued features are AI search optimization, llms.txt management, and schema updates. The interface is available in English and Portuguese.
Summary written by a language model from the project’s public pages.
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