--- title: "moloco.com llms.txt, graded: Agent Ready HTML" description: "The moloco.com llms.txt parsed and graded A against the llmstxt.org structure: 11 sections, 48 links, 8.5 KB. Read 2026-11-04." canonical: https://agentreadyhtml.com/llms-txt-index/moloco-com/ site: "Agent Ready HTML" last_updated: 2026-11-05 section: "llms.txt Index" --- # moloco.com llms.txt, graded: Agent Ready HTML > The moloco.com llms.txt parsed and graded A against the llmstxt.org structure: 11 sections, 48 links, 8.5 KB. Read 2026-11-04. Source: https://agentreadyhtml.com/llms-txt-index/moloco-com/ Site: Agent Ready HTML Last reviewed: 2026-11-05 # moloco.com llms.txt In short moloco.com serves a 8.5 KB llms.txt with 11 H2 sections and 48 links, graded A on the llmstxt.org structure (6 of 6 checks). It passes every check. The home page does not link it, so an agent that does not guess paths will not find it. No llms-full.txt was found. Read 4 November 2026. **llms.txt** 8.5 KB, 88 lines ```markdown # Moloco > Moloco brings the power of AI advertising to the open internet, helping apps and retailers grow customers at global scale. Moloco's compound AI advertising system, CARA, powers two products: Moloco Ads, for mobile app growth, and Moloco Commerce Media, for retailers and marketplaces building retail media businesses. Moloco was founded in 2013. Its advertising intelligence makes real-time decisions across more than a trillion ad opportunities a day. Moloco Ads reaches 2B+ daily active users and powers campaigns for 45 of the world's 50 highest-grossing mobile app publishers. Moloco Commerce Media serves 97,000+ advertisers across retail media programs powered by Moloco. This site is available in English, French, Korean, Japanese, Simplified Chinese, Vietnamese and German. Localized pages use the language code as a prefix, for example https://www.moloco.com/fr/moloco-commerce-media. ## Products - [Moloco Ads](https://www.moloco.com/moloco-ads): AI advertising for every kind of app and every stage of the customer lifecycle. Acquire, re-engage and monetize users with a compound AI system built for every app category. - [Moloco Commerce Media](https://www.moloco.com/moloco-commerce-media): AI-driven retail media and commerce media platform for retailers and marketplaces. Helps retailers and marketplaces build and scale an advertising business, grow ad revenue as a percentage of GMV (A2G), and improve discovery for shoppers. - [Moloco Next](https://www.moloco.com/moloco-next): A preview of what is coming next in AI advertising, including new products, research and ideas for growth teams. ## Moloco Ads: capabilities - [User Acquisition](https://www.moloco.com/capabilities/moloco-ads/user-acquisition): Find high-value users at global scale with a compound AI ad system built for performance user acquisition. - [Re-engagement](https://www.moloco.com/capabilities/moloco-ads/re-engagement): Re-engage existing app users to drive repeat actions, revenue and retention. - [Performance CTV](https://www.moloco.com/capabilities/moloco-ads/performance-ctv): Connected TV buying built to drive installs, actions and revenue, measured as a performance channel. - [Moloco SDK](https://www.moloco.com/capabilities/moloco-ads/sdk): For app publishers. Open your inventory to global demand and AI-powered bidding to monetize your app. ## Moloco Ads: technology - [CARA for Moloco Ads](https://www.moloco.com/technology/moloco-ads/cara): CARA is Moloco's compound ad recommendation architecture, the advertising intelligence behind Moloco Ads. ## Moloco Ads: industries - [Mobile Gaming](https://www.moloco.com/industries/moloco-ads/mobile-gaming): User acquisition, re-engagement and monetization across the full player lifecycle for mobile games. - [Finance](https://www.moloco.com/industries/moloco-ads/finance): Performance advertising for fintech and finance apps, focused on customers who fund, transact and stay. - [iGaming and Prediction Markets](https://www.moloco.com/industries/moloco-ads/igaming): Performance advertising for iGaming, sportsbook and prediction market apps, focused on deposits, not just downloads. - [On-Demand Services](https://www.moloco.com/industries/moloco-ads/on-demand-services): Acquire and re-engage high-value customers for on-demand and marketplace apps. - [Agencies](https://www.moloco.com/industries/moloco-ads/agencies): Moloco Ads for agencies: AI advertising built to deliver measurable outcomes for agency clients. ## Moloco Commerce Media: capabilities - [Simplified Ad Ops](https://www.moloco.com/capabilities/moloco-commerce-media/simplified-ad-ops): Run retail media with less operational work. Simplifies campaign setup, trafficking and optimization for in-house teams. - [Ad Formats and Capabilities](https://www.moloco.com/capabilities/moloco-commerce-media/ad-formats-and-capabilities): Retail ad formats, from onsite placements to offsite demand, built for advertiser performance. - [AI Engine](https://www.moloco.com/capabilities/moloco-commerce-media/ai-engine): The AI engine that scores every auction to improve discovery, conversion and retailer revenue. - [Agentic Commerce](https://www.moloco.com/capabilities/moloco-commerce-media/agentic-commerce): Helps retail media businesses prepare for agentic commerce, when AI agents as well as shoppers discover and buy. ## Moloco Commerce Media: technology - [CARA for Commerce Media](https://www.moloco.com/technology/moloco-commerce-media/cara-for-mcm): CARA powers Moloco Commerce Media with advertising intelligence that improves discovery, performance and retailer revenue. ## Customers - [Customer Stories](https://www.moloco.com/customers): Customer stories from apps and retailers across gaming, finance, on-demand and commerce media. - [Scopely: Monopoly GO!](https://www.moloco.com/case-studies/scopely-monopoly-go): Mobile gaming user acquisition case study. - [King](https://www.moloco.com/case-studies/open-mic-open-internet-king): Mobile gaming case study. - [Bravestars](https://www.moloco.com/case-studies/bravestarsgames): Mobile gaming growth case study using Moloco UA and the Moloco SDK. - [ReelShort](https://www.moloco.com/case-studies/reelshort): Dual ROAS campaigns optimizing for in-app purchases and ad revenue. - [BevMo](https://www.moloco.com/case-studies/bevmo): First performance CTV test. - [FREENOW](https://www.moloco.com/case-studies/freenow): On-demand mobility app case study. ``` First 53 of 88 lines. **Parse** graded A, 6 of 6 file: https://moloco.com/llms.txt Moloco Moloco brings the power of AI advertising to the open internet, helping apps and retailers grow customers at global scale. Moloco's compound AI advertising system, CARA, powers two products: Moloco Ads, for mobile app growth, and Moloco Commerce Media, for retailers and marketplaces building retail media businesses. 11 sections, 48 links, no Optional section. Ora's cached score: not scored (read 5 November 2026). ## The parse moloco.com lists 48 links: 47 point at moloco.com or a relative path, 1 point elsewhere. The hosts it links most: moloco.com (46), developer.moloco.cloud (1), mcm-docs.moloco.com (1). | H2 section | Links | | --- | --- | | Products | 3 | | Moloco Ads: capabilities | 4 | | Moloco Ads: technology | 1 | | Moloco Ads: industries | 5 | | Moloco Commerce Media: capabilities | 4 | | Moloco Commerce Media: technology | 1 | | Customers | 9 | | Research and resources | 6 | | Company | 5 | | Policies and legal | 9 | | Sitemap | 1 | ## Grade against the llmstxt.org structure The file passes all six checks. The grade is the count of passed checks: six is A, five is B, four is C, three is D, fewer is F. It measures structure only. Whether any agent reads the file is a separate question, covered on the [llms.txt reference](https://agentreadyhtml.com/llms-txt/). | Check | Result | Detail | | --- | --- | --- | | Starts with an H1 naming the site or project | Pass | H1: Moloco | | Has a blockquote summary under the H1 | Pass | Blockquote summary found. | | Has at least one H2 section that lists links | Pass | 11 H2 sections, 11 with links. | | At least 80 percent of links point at the same site | Pass | 47 of 48 links stay on moloco.com (98 percent). | | Under 100 KB | Pass | 8655 bytes as served. | | Plain markdown, no HTML | Pass | No HTML document markers in the body. | ## Ora's cached score Not scored by Ora. GET ora.ai/api/score/moloco.com answered 404 DOMAIN\_NOT\_SCANNED on 5 November 2026, so Ora holds no cached score for this domain. This site asked for a cached score only and never requested a scan. A scan by the site's owner would add one. ## Linking and the companion file The home page of moloco.com does not link the file in its HTML. Ora's lab found (2026-10-19) that 86 percent of llms.txt fetches by agents arrived through a link, so an unlinked file is mostly a file nobody opens. No llms-full.txt was found at the same root. ## How it compares At 8.5 KB the file is larger than 53 percent of the 2,529 plain-text llms.txt files in this edition, and its 48 links put it ahead of 59 percent of them on link count. The home page declares no generator. Size bucket: 2 to 10 KB. Tranco rank 803. Category: Top 10,000, no category. Live file: [https://moloco.com/llms.txt](https://moloco.com/llms.txt). Read 4 November 2026. If the file has since changed or gone, the live URL is the authority; this page records what the crawl read on that date. - [All entries](https://agentreadyhtml.com/llms-txt-index/) - [Edition 2026-11-04](https://agentreadyhtml.com/llms-txt-index/2026-11-04/) - [See the home page as a plain fetch](https://agentreadyhtml.com/viewer/?url=https%3A%2F%2Fmoloco.com%2F) ## Sources 1. [moloco.com llms.txt](https://moloco.com/llms.txt) https://moloco.com/llms.txt, read 4 November 2026 2. [llms.txt proposal (llmstxt.org)](https://llmstxt.org/) https://llmstxt.org/, read 4 November 2026 3. [Tranco list 746WX (crawl universe)](https://tranco-list.eu/list/746WX) https://tranco-list.eu/list/746WX, read 4 November 2026 4. [Ora: AgentReady launch post (the 86 percent finding)](https://ora.ai/blog/agentready-launch?utm_source=agentreadyhtml.com&utm_medium=referral&utm_campaign=entry) https://ora.ai/blog/agentready-launch, read 4 November 2026 5. [Ora llms.txt (GET /api/score/{domain} looks up a cached score)](https://ora.ai/llms.txt?utm_source=agentreadyhtml.com&utm_medium=referral&utm_campaign=entry) https://ora.ai/llms.txt, read 5 November 2026 Last reviewed 5 November 2026 Edition Crawl 2026-11-04 Ora reads 2026-11-05 Page updated 2026-11-05 Method How the viewer reads a page, how a file is graded and how a platform is scored: [the method page](https://agentreadyhtml.com/method/).