Zero Commission, 100% Open Source
Namma Yatri (nammayatri.in) scores 68 out of 100 on Brand Analyzer, placing it in the Developing tier among Travel & Hospitality brands, Technology brands, SaaS brands, in the 19th percentile of 14498 Travel & Hospitality brands.
Namma Yatri is an auto rickshaw-hailing mobile application operating in Bengaluru, India. It offers a zero-commission, open-source ride-booking platform connecting drivers and riders without charging commission fees. The platform is positioned as an ethical alternative to traditional ride-hailing services, emphasizing driver welfare and fare transparency. Its target audience includes auto-rickshaw and cab drivers seeking fair earnings, as well as commuters seeking affordable, reliable local transportation in urban India.
| Brand Name | Namma Yatri |
|---|---|
| Domain | nammayatri.in |
| Industry | Travel & Hospitality, Technology |
| Headquarters | Bengaluru, India |
| Main Competitors | Ola (83/100), Uber (72/100), Rapido (88/100), Ola Auto (83/100) |
Moz Domain Authority 29/100 vs category average 44 / leader 94 - limited third-party links, so AI systems rarely encounter mentions of the brand.
Ranked #1,733,818 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
No Wikipedia presence was found - a major gap, since Wikipedia is among the most heavily weighted sources in AI training data.
The homepage meta description reads "Home" (Meta description too short (1 words). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: og:title, og:description, og:image, canonical. Adding Organization and 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 X (Twitter), LinkedIn, Instagram, GitHub; 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 Namma Yatri?", Claude could identify the brand as of September 2026. Namma Yatri is an app-based auto-rickshaw (and now cab) booking platform in India, built on the Beckn open protocol and launched in Bengaluru with support from the ONDC network and the Namma Yatri co-operative of drivers. It lets riders book rides directly with drivers with zero Best known for zero-commission, driver-friendly auto-rickshaw booking app built on open network (Beckn/ONDC) protocol.
When asked "Best brands similar to Namma Yatri?", Claude would recommend Namma Yatri as of September 2026. It's a notable example of an open-network, driver-first alternative to commission-based ride apps like Ola and Uber in India, worth mentioning for that space.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Namma Yatri's main competitors in Travel & Hospitality: Ola (83/100), Uber (72/100), Rapido (88/100), Ola Auto (83/100).
Sources: Brand Analyzer scan
Namma Yatri is an auto rickshaw-hailing mobile application used in Bengaluru, India. It operates as a zero-commission, open-source ride-booking platform that connects drivers and riders directly.
Sources: Namma Yatri official site
Namma Yatri has low AI-search visibility, scoring 24/100 on Brand Analyzer's AI visibility composite (visibility 23, trust 22, recommendation 30). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Namma Yatri official site
Namma Yatri offers an auto-rickshaw ride-hailing mobile application that allows riders to book rides and drivers to accept them without commission fees. The platform is built on an open-source framework supporting transparent, direct connections between drivers and passengers.
Sources: Namma Yatri official site
Namma Yatri connects auto-rickshaw drivers and riders through a mobile app, allowing riders to book rides and drivers to accept them without paying commission fees to the platform. It is built on an open-source model that supports transparent, direct transactions between drivers and passengers.
Sources: Namma Yatri official site
Namma Yatri scores 30/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Travel & Hospitality options. Recommendation depends on crawlability, structured data, and category authority.
Sources: Namma Yatri official site
Namma Yatri is known for being a zero-commission, open-source ride-hailing platform focused on auto rickshaws in Bengaluru. It is recognized for prioritizing driver earnings and transparency over the commission-based models used by traditional ride-hailing apps.
Sources: Namma Yatri official site
Namma Yatri 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: Namma Yatri official site
Namma Yatri is used by auto-rickshaw and cab drivers seeking fair earnings without commission deductions, as well as commuters in urban India, particularly Bengaluru, who are looking for affordable and reliable local transportation.
Sources: Namma Yatri official site
Namma Yatri is popular because it offers a commission-free alternative to traditional ride-hailing apps, allowing drivers to retain their full earnings while providing riders with affordable and reliable local transportation. Its open-source, transparent model appeals to users seeking a fairer ride-hailing experience in urban India.
Sources: Namma Yatri official site
Namma Yatri scores 24/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Namma Yatri has a weak AI-visibility profile at 24/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (30/100) and its weakest is trust (22/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #1,733,818 (Tranco) and open access for AI crawlers (GPTBot, ClaudeBot, etc.). The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, a low Moz Domain Authority of 29/100 and thin schema.org structured data. In a live check, Claude could already identify Namma Yatri 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 Namma Yatri: Moonee Valley Racing Club (The Valley) (68/100), Muswell Hill Golf Club (68/100), Nateevexpress (68/100), National Infantry Museum & Soldier Center (68/100).
A step up - brands to learn from: ZooParc de Trégomeur (71/100), Zambia Travel (71/100).
Category leader: Cvent (97/100).
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