--- title: "gumgum.com llms.txt, graded: Agent Ready HTML" description: "The gumgum.com llms.txt parsed and graded A against the llmstxt.org structure: 5 sections, 15 links, 3.7 KB. Read 2026-11-04." canonical: https://agentreadyhtml.com/llms-txt-index/gumgum-com/ site: "Agent Ready HTML" last_updated: 2026-11-05 section: "llms.txt Index" --- # gumgum.com llms.txt, graded: Agent Ready HTML > The gumgum.com llms.txt parsed and graded A against the llmstxt.org structure: 5 sections, 15 links, 3.7 KB. Read 2026-11-04. Source: https://agentreadyhtml.com/llms-txt-index/gumgum-com/ Site: Agent Ready HTML Last reviewed: 2026-11-05 # gumgum.com llms.txt In short gumgum.com serves a 3.7 KB llms.txt with 5 H2 sections and 15 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** 3.7 KB, 38 lines ```markdown # GumGum > GumGum is The Mindset Company™ […] a global advertising technology company that identifies the moments consumers are most receptive to brand messages, and delivers mindset-driven campaigns across CTV, contextual, and high-impact display at scale. Founded in 2008 and headquartered in Santa Monica, California, GumGum has developed proprietary AI for content intelligence since 2010 […] building technology that analyzes text, images, video, and audio across every environment before the bid. This foundation powers the Mindset Graph™, GumGum's AI data engine that processes contextual, creative, environmental, and historical signals in real time to identify the highest-receptivity moments for every campaign. GumGum operates across 19+ markets with direct inventory access to 40,000+ MFA-free publisher partners, delivering 500 billion monthly impressions and reaching over 1 billion unique users monthly. ## What We Do - [Contextual Advertising](https://gumgum.com/contextual): GumGum's full-content contextual intelligence reads text, images, video, and audio across the open web and CTV before every bid […] identifying brand-suitable, high-receptivity moments without relying on audience data or cookies. - [CTV & Video Advertising](https://gumgum.com/ctv-advertising): Connected TV and online video advertising powered by mindset intelligence […] reaching audiences in premium streaming and open-web video environments at the moments they are most receptive. - [Omnichannel Advertising](https://gumgum.com/omnichannel): CTV, online video, and high-impact display unified under a single receptivity-first strategy […] one campaign, every screen, connected by mindset intelligence. ## Our Technology - [The Mindset Graph™](https://gumgum.com/mindset): GumGum's proprietary AI data engine, purpose-built to process the ever-expanding universe of contextual, creative, environmental, and historical signals in real time. The Mindset Graph™ determines the optimal signal combinations that drive outcomes for every campaign […] identifying receptive moments rather than simply targeting audiences. ## Proof & Results - [Case Studies](https://gumgum.com/case-studies): Brand outcome case studies across CTV, contextual, and high-impact display […] covering awareness, consideration, and performance objectives across verticals. - [Results](https://gumgum.com/results): GumGum campaign performance data and benchmark outcomes for mindset-driven advertising. ## Resources - [Research & Guides](https://gumgum.com/guides): Original research, industry guides, and whitepapers on contextual advertising, CTV, receptivity intelligence, and digital advertising trends. - [Blog](https://gumgum.com/blog): Editorial content on advertising intelligence, industry trends, contextual targeting, CTV, and the evolving media landscape. - [Webinars](https://gumgum.com/webinars): On-demand sessions covering advertising strategy, CTV, contextual intelligence, and market research. - [Press & Media](https://gumgum.com/press): GumGum press releases, industry coverage, and media mentions. ## Company - [About GumGum](https://gumgum.com/about): Company overview, history, and mission. GumGum pioneered AI-powered content intelligence in 2010 and has led the development of receptivity-first advertising ever since. - [Leadership](https://gumgum.com/leadership): Executive team, global leadership, and board of directors. - [Careers](https://gumgum.com/careers): Engineering, sales, and marketing roles at The Mindset Company™ across 19+ global markets. - [Contact](https://gumgum.com/contact): Get in touch with GumGum's sales team. - [Terms & Policies](https://gumgum.com/terms-and-policies): Privacy policy, cookie policy, publisher terms, and legal documentation. ``` First 37 of 38 lines. 8 spans shown as \[…\] because the words or characters in them are rejected by this site's own style rules; the live file has them. **Parse** graded A, 6 of 6 file: https://gumgum.com/llms.txt GumGum GumGum is The Mindset Company™ \[…\] a global advertising technology company that identifies the moments consumers are most receptive to brand messages, and delivers mindset-driven campaigns across CTV, contextual, and high-impact display at scale. 5 sections, 15 links, no Optional section. Ora's cached score: not scored (read 5 November 2026). ## The parse gumgum.com lists 15 links: 15 point at gumgum.com or a relative path, 0 point elsewhere. The hosts it links most: gumgum.com (15). | H2 section | Links | | --- | --- | | What We Do | 3 | | Our Technology | 1 | | Proof & Results | 2 | | Resources | 4 | | Company | 5 | ## 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: GumGum | | Has a blockquote summary under the H1 | Pass | Blockquote summary found. | | Has at least one H2 section that lists links | Pass | 5 H2 sections, 5 with links. | | At least 80 percent of links point at the same site | Pass | 15 of 15 links stay on gumgum.com (100 percent). | | Under 100 KB | Pass | 3784 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/gumgum.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 gumgum.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 3.7 KB the file is larger than 23 percent of the 2,529 plain-text llms.txt files in this edition, and its 15 links put it ahead of 27 percent of them on link count. The home page declares no generator. Size bucket: 2 to 10 KB. Tranco rank 740. Category: Top 10,000, no category. Live file: [https://gumgum.com/llms.txt](https://gumgum.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%2Fgumgum.com%2F) ## Sources 1. [gumgum.com llms.txt](https://gumgum.com/llms.txt) https://gumgum.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/).