Real-time messaging under your control
ejabberd (ejabberd.im) scores 69 out of 100 on Brand Analyzer, placing it in the Developing tier among Technology brands, SaaS brands, Telecommunications brands, in the 20th percentile of 46678 Technology brands.
ejabberd is an open-source XMPP server, MQTT broker, and SIP service built in Erlang, in use since 2002. It is designed for real-time messaging at scale and is used by organizations including WhatsApp, Nintendo Switch, and BBC. Positioned as a self-hosted alternative to proprietary messaging infrastructure, ejabberd targets developers and enterprises that want to own and control their communication systems while relying on open standards and a distributed, fault-tolerant architecture.
| Brand Name | ejabberd |
|---|---|
| Domain | ejabberd.im |
| Industry | Technology, SaaS |
| Founded | 2002 |
| Main Competitors | Openfire, Tigase, Prosody, EMQX, HiveMQ (85/100), Mosquitto, Matrix (Synapse) (89/100), Kamailio, FreeSWITCH |
Moz Domain Authority 49/100 vs category average 40 / leader 100 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #291,524 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
ejabberd has a dedicated Wikipedia entity - a top-weighted signal AI models rely on to identify and describe the brand.
The homepage meta description reads "ejabberd is the open-source XMPP server, MQTT broker and SIP service trusted by WhatsApp, Nintendo Switch, BBC and hundreds of organisations since 2002." (Meta description: 23 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 1 JSON-LD block(s), Organization schema, og:title, og:description, og:image, og:type, Twitter cards, canonical. Adding FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: No robots.txt found (default: all bots allowed, but explicit file preferred) - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Social footprint: verified profiles on GitHub, LinkedIn, Facebook, Instagram; no detected presence on X (Twitter), 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 October 2026.
When asked "What is ejabberd?", Claude could identify the brand as of October 2026. ejabberd is an open-source, highly scalable XMPP (Jabber) instant messaging server written in Erlang, developed by ProcessOne. It's widely used for building real-time messaging, chat, and push notification infrastructure, and also supports MQTT for IoT use cases. Best known for Being a robust, massively scalable open-source XMPP/instant messaging server built on Erlang.
When asked "Best brands similar to ejabberd?", Claude would recommend ejabberd as of October 2026. It's one of the most established and battle-tested XMPP servers, commonly recommended for anyone building scalable chat or messaging infrastructure.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
ejabberd's main competitors in Technology: HiveMQ (85/100), Matrix (Synapse) (89/100).
Sources: Brand Analyzer scan
ejabberd offers an XMPP server for real-time messaging and chat, an MQTT broker for IoT device communication, and a SIP service for voice and signaling communication. These are delivered as an open-source, self-hostable platform built in Erlang, allowing organizations to run their own messaging infrastructure rather than depend on third-party hosted services.
Sources: ejabberd official site
ejabberd is an open-source XMPP server, MQTT broker, and SIP service built in the Erlang programming language. It has existed since 2002 and is described as a distributed, fault-tolerant XMPP server. It is used by organizations to run real-time messaging and communication systems on infrastructure they own and control, rather than relying on third-party hosted services.
Sources: ejabberd official site
ejabberd has moderate AI-search visibility, scoring 53/100 on Brand Analyzer's AI visibility composite (visibility 62, trust 43, recommendation 50). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: ejabberd official site
ejabberd was founded in 2002. ejabberd operates in the Technology category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
ejabberd provides the server-side infrastructure for real-time messaging, supporting the XMPP protocol, MQTT for IoT messaging, and SIP for voice/communication signaling. It enables organizations to build and operate their own messaging, chat, or IoT communication platforms at scale, using open standards rather than proprietary, third-party messaging services.
Sources: ejabberd official site
ejabberd 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: ejabberd official site
ejabberd is known for being a battle-tested, open-source XMPP server used at massive scale since 2002, with notable adopters including WhatsApp, Nintendo Switch, and BBC. It is also known for its Erlang-based distributed and fault-tolerant architecture, which supports high reliability and scalability for real-time messaging systems.
Sources: ejabberd official site
ejabberd 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: ejabberd official site
ejabberd is used by developers, enterprises, and organizations that need to build or operate real-time messaging, IoT, or communication systems and prefer to own and control their infrastructure. Known users include large organizations such as WhatsApp, Nintendo Switch, and BBC, alongside hundreds of other organizations relying on it since 2002.
Sources: ejabberd official site
ejabberd is popular because it is a mature, open-source platform that has been operating since 2002 and has been proven at massive scale by organizations like WhatsApp, Nintendo Switch, and BBC. Its appeal also stems from being self-hosted, giving organizations full ownership and control over their messaging infrastructure, combined with support for open standards like XMPP, MQTT, and SIP.
Sources: ejabberd official site
ejabberd scores 53/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
ejabberd has a limited AI-visibility profile at 53/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is visibility (62/100) and its weakest is trust (43/100). It benefits from a recognised Wikipedia company entity, a Wikidata knowledge-graph entry and a global traffic rank of #291,524 (Tranco). The main gaps holding it back: no llms.txt to steer AI to its best pages. In a live check, Claude could already identify ejabberd from memory (October 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 ejabberd: Einstein@Home (69/100), Efika Tech (69/100), ElanWave (69/100), Elevated Signals (69/100).
A step up - brands to learn from: Zypp Electric (71/100), 作业帮 (Zuoyebang) (71/100).
Category leader: Hostinger (97/100).
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