Full-text search for your desktop
Recoll (recoll.org) scores 75 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Technology brands, SaaS brands, Other brands, in the 40th percentile of 34399 Technology brands.
Recoll is an open-source desktop search application available for Linux, Unix, Windows, and macOS. Built on the Xapian search engine library, it enables full-text search across file contents and file names, helping users locate documents stored on their computers. Founded in 2005, Recoll is positioned as a free, cross-platform tool for individuals and professionals managing large document collections who require efficient search capabilities.
| Brand Name | Recoll |
|---|---|
| Domain | recoll.org |
| Industry | Technology, SaaS |
| Founded | 2005 |
| Main Competitors | Copernic Desktop Search (91/100), DocFetcher, X1 Search (85/100), Lookeen (86/100), Everything (73/100), Spotlight (84/100), Windows Search (83/100) |
Moz Domain Authority 43/100 vs category average 40 / leader 100 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #1,157,402 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
Recoll appears on Wikipedia but without a dedicated company entity, so AI models can confuse it with similarly named subjects.
The homepage meta description reads "Recoll is a desktop document search application for Unix, Linux, Microsoft Windows and MacOS, based on the Xapian search engine library." (Meta description: 21 words (ideal length). No OG description (falling back to meta)) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: No structured data or Open Graph tags detected. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt present, no AI bot restrictions - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Social footprint: verified profiles on GitHub, X (Twitter), LinkedIn, Instagram; no detected presence on Facebook, YouTube - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Live results from asking a general-purpose AI assistant about the brand, checked September 2026.
When asked "What is Recoll?", Claude could identify the brand as of September 2026. Recoll is an open-source desktop search tool for Linux (and other Unix-like systems) that indexes and searches the full text of files on your computer, built on top of the Xapian search engine library. It supports a wide range of file formats through helper scripts and filters, a Best known for Full-text desktop search for Linux using the Xapian indexing engine.
When asked "Best brands similar to Recoll?", Claude would recommend Recoll as of September 2026. It's a solid, well-regarded choice for Linux users wanting powerful local file search, comparable to tools like Tracker or Baloo.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Recoll's main competitors in Technology: Copernic Desktop Search (91/100), X1 Search (85/100), Lookeen (86/100), Everything (73/100), Spotlight (84/100).
Sources: Brand Analyzer scan
Recoll offers a single core product: a desktop search application that indexes and searches file contents and file names on a user's computer. It is available across Linux, Unix, Windows, and macOS platforms and is built on the Xapian search engine library.
Sources: Recoll official site
Recoll is an open-source desktop document search application for Unix, Linux, Microsoft Windows, and macOS. It is built on the Xapian search engine library and provides full-text search across a user's files.
Sources: Recoll official site
Recoll has limited AI-search visibility, scoring 36/100 on Brand Analyzer's AI visibility composite (visibility 33, trust 29, recommendation 50). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Recoll official site
Recoll was founded in 2005. Recoll operates in the Technology category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
Recoll searches a user's desktop for documents by indexing and querying both file contents and file names. It uses the Xapian search engine library to perform full-text search, allowing users to locate documents stored across their file system regardless of format.
Sources: Recoll official site
Recoll scores 50/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Technology options. Recommendation depends on crawlability, structured data, and category authority; a Wikipedia presence helps.
Sources: Recoll official site
Recoll is known for being a free, open-source, cross-platform desktop search tool that offers full-text search capabilities across Linux, Windows, and macOS, built on the Xapian search engine library.
Sources: Recoll official site
Recoll can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.
Sources: Recoll official site
Recoll is used by individuals and professionals who manage large collections of documents on Linux, Windows, or macOS systems and need efficient full-text search capabilities to locate files based on their content or file names.
Sources: Recoll official site
Recoll scores 36/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Recoll has a weak AI-visibility profile at 36/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (50/100) and its weakest is trust (29/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #1,157,402 (Tranco) and a Moz Domain Authority of 43/100. The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, thin schema.org structured data and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify Recoll from memory (September 2026) - a sign these signals are paying off.
The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark.
Ranked closest to Recoll: Skillwell (75/100), Readdy (75/100), Velocity Automotive (75/100), 株式会社リクルート (Recruit Co., Ltd.) (75/100).
A step up - brands to learn from: Zymo Research (81/100), Zuppler (81/100).
Category leader: Hostinger (97/100).
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