Video Data Connectivity, Structured and Activated
IRIS.TV (iris.tv) scores 85 out of 100 on Brand Analyzer, placing it in the Strong Brand tier among Media & Entertainment brands, Technology brands, Marketing & Advertising brands, in the 90th percentile of 35700 Media & Entertainment brands.
IRIS.TV is a video data platform designed for connected TV (CTV) and online video businesses. It structures, connects, and activates video-level data, enabling media companies, publishers, advertisers, and platforms to unify fragmented video data for improved targeting, content strategy, and monetization across CTV and online video ecosystems. IRIS.TV positions itself as the only data platform built specifically for video, addressing the needs of the growing streaming advertising landscape.
| Brand Name | IRIS.TV |
|---|---|
| Domain | iris.tv |
| Industry | Media & Entertainment, Technology |
| Main Competitors | Samba TV (83/100), Innovid (91/100), VideoAmp (81/100), FreeWheel (83/100), LiveRamp (94/100), Comscore (87/100) |
Moz Domain Authority 37/100 vs category average 50 / leader 100 - limited third-party links, so AI systems rarely encounter mentions of the brand.
Ranked #54,194 on the Tranco list of most-visited sites - strong traffic reinforces the brand's prominence to AI models.
IRIS.TV appears on Wikipedia but without a dedicated company entity, so AI models can confuse it with similarly named subjects.
The homepage meta description reads "IRIS.TV is a video data platform. For CTV & online video content, we structure, connect and activate video-level data." (Meta description: 19 words (ideal length). 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, og:type, Twitter cards. 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.
Detected tech stack: Next.js, HubSpot, React.
Social footprint: verified profiles on LinkedIn, X (Twitter), Instagram, Facebook, YouTube, GitHub - 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 IRIS.TV?", Claude could identify the brand as of September 2026. IRIS.TV is a video data and AI platform for publishers and content owners that powers contextual video recommendations and helps connect video content data with advertising systems in a privacy-safe way, without relying on user-level tracking. Best known for Privacy-safe, contextual video content data and recommendation technology used to power CTV and online video advertising targeting.
When asked "Best brands similar to IRIS.TV?", Claude would recommend IRIS.TV as of September 2026. It's a well-known player in the video data/CTV advertising infrastructure space, especially relevant for cookieless, contextual targeting solutions.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
IRIS.TV's main competitors in Media & Entertainment: Samba TV (83/100), Innovid (91/100), VideoAmp (81/100), FreeWheel (83/100), LiveRamp (94/100).
Sources: Brand Analyzer scan
IRIS.TV is a video data platform built specifically for connected TV (CTV) and online video businesses. It structures, connects, and activates video-level data to help companies in the video ecosystem better understand and utilize their content and audience data.
Sources: IRIS.TV official site
IRIS.TV has limited AI-search visibility, scoring 42/100 on Brand Analyzer's AI visibility composite (visibility 47, trust 22, recommendation 55). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: IRIS.TV official site
IRIS.TV structures, connects, and activates video-level data for CTV and online video content. This allows media companies, publishers, advertisers, and platforms to unify fragmented data across their video assets, supporting more effective targeting, content strategy, and monetization efforts.
Sources: IRIS.TV official site
IRIS.TV offers a video data platform that structures, connects, and activates video-level data for CTV and online video content. Its core offering enables data unification and activation, allowing customers to leverage granular video data across their advertising and content strategies.
Sources: IRIS.TV official site
IRIS.TV scores 55/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Media & Entertainment options. Recommendation depends on crawlability, structured data, and category authority; a Wikipedia presence helps.
Sources: IRIS.TV official site
IRIS.TV 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: IRIS.TV official site
IRIS.TV is used by media companies, publishers, advertisers, and platforms operating in the CTV and online video space. These organizations use the platform to leverage video-level data for improved audience targeting and content monetization.
Sources: IRIS.TV official site
IRIS.TV is known for being a data platform purpose-built for video, specifically addressing the challenges of structuring and connecting video-level data across CTV and online video ecosystems, an area not directly served by traditional data platforms.
Sources: IRIS.TV official site
IRIS.TV scores 42/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
IRIS.TV has a limited AI-visibility profile at 42/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (55/100) and its weakest is trust (22/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #54,194 (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 37/100 and thin schema.org structured data. In a live check, Claude could already identify IRIS.TV 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 IRIS.TV: Investigative Reporters and Editors (IRE) (85/100), IPSO (85/100), IRNA (85/100), ITV Studios (85/100).
A step up - brands to learn from: Yuga Labs (91/100), Yr (91/100).
Category leader: Change.org (97/100).
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