Visiting Media and Bonafide.AI partner on hotel AI distribution

The two hospitality technology firms aim to give hotels structured, AI-ready content to compete with OTAs in LLM-powered travel discovery.

A photography studio features a black camera on a tripod centered on a white seamless backdrop, brightly lit by two rectangular softbox lights flanking it.

Visiting Media and Bonafide.AI have announced a commercial partnership intended to help hotels surface accurately inside large language model search tools such as ChatGPT, Google Gemini and Perplexity. The integrated offering combines Visiting Media's content structuring platform with Bonafide.AI's three-module AI alignment stack, and is scheduled to be available to joint customers from mid-July 2026.

The companies cite a statistic from their release that 33.1% of AI responses about hotels contain factual errors, a figure they attribute to hotel data remaining siloed and unstructured. In that vacuum, they argue, online travel agencies (OTAs) such as Booking.com and Expedia are filling the AI context gap by default, reinforcing their distribution leverage at the expense of direct hotel revenue.

The integration

Visiting Media's contribution centres on content readiness. Its Smart Tagging feature automatically generates rich metadata for visual assets, while a Semantic Search layer lets revenue and distribution teams retrieve assets using natural language queries. A .mcp API integration connects live property data, analytics and media libraries to downstream distribution partners.

Bonafide.AI then ingests that structured content through its own platform, which it describes as three modules: Interrogator, Curator and Orchestrator. The stated purpose is to ensure hotel properties appear correctly and prominently in the one-to-three results LLMs typically surface per travel query.

"Traveling are already using AI search to decide where to stay," said Jascha Kaykas-Wolff, chief executive of Visiting Media. "Visiting Media makes hotel content AI-ready. Bonafide.AI helps that content appear accurately in the answers travelers rely on."

Jason Jenkins, Vice President of Sales at Bonafide, framed the commercial logic in terms of context control: "Whoever controls the context controls the recommendation, and right now, OTAs control that context by default."

Market context

The partnership sits within a rapidly expanding category that some are calling generative engine optimisation (GEO), the AI-era analogue of search engine optimisation. As consumers increasingly query AI assistants rather than search engines for purchase decisions, a class of vendors is emerging to help brands govern how their information is represented inside model context windows. Bonafide.AI is recognised in the PhocusWire Hot 25 Travel Startups for 2026 and counts Peninsula Hotels among its named enterprise clients, though neither company disclosed contract values, pricing tiers or a customer count for the combined offering.

The structural tension the partnership exploits is real and well-documented across the travel sector. OTAs invest heavily in structured data, API relationships and content licensing, which gives them a compounding advantage when AI models are trained or grounded with web-scale data. Hotel brands and independent properties, by contrast, typically maintain fragmented content across property management systems, digital asset management tools and legacy booking engines, none of which are natively optimised for LLM retrieval.

The regulatory picture for AI-powered distribution in travel remains thin. Neither the EU AI Act nor the UK's proposed AI legislation addresses the question of how LLMs should rank commercial results, leaving the space open for proprietary vendor approaches. If AI search surfaces in antitrust discussions around travel distribution (the European Commission has previously scrutinised OTA market power), the data-layer dynamics this partnership targets could attract closer examination.

For now, the mid-July launch will be the first test of whether the combined stack can demonstrate measurable improvement in AI discovery rates and booking attribution, the metrics hotels will need to see before committing budget away from established OTA channels.