# GraphIQ.ai > GraphIQ.ai is a B2B identity graph: 287 million organizations, 393 million people, and > 1.97 trillion news articles resolved into relationships rather than rows. Revenue teams and > AI agents query it through a REST API and an MCP server. This file follows the llms.txt convention. It is a curated index for AI agents and answer engines. Every URL below is a stable, server-rendered page. ## Start here - [GraphIQ.ai homepage](https://graphiq.ai/): what the identity graph is and who runs on it. - [Platform overview](https://graphiq.ai/platform/): the product surface in one page. - [Company Dossiers](https://graphiq.ai/dossier/): 100,000+ continuously updated, date-stamped company dossiers, each one a canonical record built from the graph and written to be cited. New companies are added daily and existing dossiers rebuild as the graph changes. ## Core capabilities - [Identity Graph](https://graphiq.ai/platform/identity-graph/): entity resolution, corporate hierarchy, and the relationship model underneath everything else. - [Fingerprint Search](https://graphiq.ai/platform/fingerprint-search/): find companies by what they actually do, not by SIC code. - [Lookalike](https://graphiq.ai/platform/lookalike/): expand from a seed list to the companies that match it. - [Signals](https://graphiq.ai/platform/signals/): change events moving around a company. - [API](https://graphiq.ai/platform/api/): REST API, v2. - [MCP](https://graphiq.ai/platform/mcp/): Model Context Protocol server for AI agents. ## For developers and agents - [MCP server documentation](https://graphiq.ai/resources/mcp-server/): connection details and the four available tools — search_organizations, search_employment_route, search_news, list_industries. - [API quickstart](https://graphiq.ai/resources/api-quickstart/): first call in a few minutes. - [Docs](https://graphiq.ai/resources/docs/): full reference. - [Glossary](https://graphiq.ai/resources/glossary/): how GraphIQ defines its terms. ## Company dossiers - [Dossier directory](https://graphiq.ai/dossier/): continuously updated, date-stamped company dossiers, each one a canonical record built from the graph and written to be cited. New companies are added daily and existing dossiers rebuild as the graph changes. - [Browse dossiers A–Z](https://graphiq.ai/dossier/browse/): the complete corpus as plain HTML, 27 letters deep, every dossier within three links of the index. No JavaScript required. - [Search dossiers](https://graphiq.ai/dossier/search): server-rendered results for a company name. The dossier corpus is indexed separately because it is too large to inline here. 100,100 dossiers are currently published. The complete list is paginated by first letter and again as flat A–Z shards, so no single file is large enough to crowd out an agent's working context. The 26 sector indexes below are a partial view — sector is inferred from the company name, and the long tail of the corpus does not classify — so use them to answer industry questions, not for coverage. - [Dossier index for agents](https://graphiq.ai/dossier/llms.txt): start here — the complete paginated list, the sector indexes, and how the partitioning works. - [Browse dossiers A–Z](https://graphiq.ai/dossier/browse/): the same corpus as plain HTML, every dossier within three links of the index. ### Dossiers by sector - [Aerospace & Defense](https://graphiq.ai/dossier/sector/aerospace-defense/llms.txt): 223 dossiers. - [Agriculture](https://graphiq.ai/dossier/sector/agriculture/llms.txt): 564 dossiers. - [Airlines](https://graphiq.ai/dossier/sector/airlines/llms.txt): 87 dossiers. - [Automotive](https://graphiq.ai/dossier/sector/automotive/llms.txt): 247 dossiers. - [Construction & Engineering](https://graphiq.ai/dossier/sector/construction-engineering/llms.txt): 811 dossiers. - [Consumer Goods](https://graphiq.ai/dossier/sector/consumer-goods/llms.txt): 199 dossiers. - [Education](https://graphiq.ai/dossier/sector/education/llms.txt): 892 dossiers. - [Energy & Utilities](https://graphiq.ai/dossier/sector/energy-utilities/llms.txt): 1,785 dossiers. - [Financial Services](https://graphiq.ai/dossier/sector/financial-services/llms.txt): 1,082 dossiers. - [Food & Beverage](https://graphiq.ai/dossier/sector/food-beverage/llms.txt): 333 dossiers. - [Government](https://graphiq.ai/dossier/sector/government/llms.txt): 373 dossiers. - [Healthcare](https://graphiq.ai/dossier/sector/healthcare/llms.txt): 1,892 dossiers. - [Industrial](https://graphiq.ai/dossier/sector/industrial/llms.txt): 3,984 dossiers. - [Legal Services](https://graphiq.ai/dossier/sector/legal-services/llms.txt): 143 dossiers. - [Logistics & Transport](https://graphiq.ai/dossier/sector/logistics-transport/llms.txt): 305 dossiers. - [Marketing & Creative](https://graphiq.ai/dossier/sector/marketing-creative/llms.txt): 215 dossiers. - [Materials & Mining](https://graphiq.ai/dossier/sector/materials-mining/llms.txt): 8,637 dossiers. - [Media & Entertainment](https://graphiq.ai/dossier/sector/media-entertainment/llms.txt): 1,023 dossiers. - [Nonprofit & Civic](https://graphiq.ai/dossier/sector/nonprofit-civic/llms.txt): 571 dossiers. - [Pharmaceuticals](https://graphiq.ai/dossier/sector/pharmaceuticals/llms.txt): 1,315 dossiers. - [Real Estate](https://graphiq.ai/dossier/sector/real-estate/llms.txt): 136 dossiers. - [Retail](https://graphiq.ai/dossier/sector/retail/llms.txt): 1,040 dossiers. - [Semiconductors](https://graphiq.ai/dossier/sector/semiconductors/llms.txt): 242 dossiers. - [Technology](https://graphiq.ai/dossier/sector/technology/llms.txt): 5,977 dossiers. - [Telecommunications](https://graphiq.ai/dossier/sector/telecommunications/llms.txt): 223 dossiers. - [Travel & Hospitality](https://graphiq.ai/dossier/sector/travel-hospitality/llms.txt): 65 dossiers. ## Solutions - [RevOps](https://graphiq.ai/solutions/revops/) - [Sales & Marketing](https://graphiq.ai/solutions/sales-marketing/) - [Developers](https://graphiq.ai/solutions/developers/) - [Government](https://graphiq.ai/solutions/government/) - [Industry](https://graphiq.ai/solutions/industry/) - [Private Equity](https://graphiq.ai/solutions/private-equity/) ## Comparisons and use cases - [Compare](https://graphiq.ai/compare/): GraphIQ.ai set against [ZoomInfo](https://graphiq.ai/compare/zoominfo/), [Apollo](https://graphiq.ai/compare/apollo/) and [Clay](https://graphiq.ai/compare/clay/) on coverage, freshness, resolution and AI-agent access. - [Use cases](https://graphiq.ai/use-cases/): the jobs teams hand to the graph — [CRM enrichment](https://graphiq.ai/use-cases/crm-enrichment/), [territory planning](https://graphiq.ai/use-cases/territory-planning/), [account expansion](https://graphiq.ai/use-cases/account-expansion/) and [grounding AI agents](https://graphiq.ai/use-cases/ai-agent-data-layer/). ## Writing - [Blog](https://graphiq.ai/blog/): field notes on identity graphs, entity resolution, and the shift to AI-native go-to-market, written by the team building it. ## Machine-readable indexes - [Dossier index for agents](https://graphiq.ai/dossier/llms.txt): the dossier corpus, partitioned by first letter and again as flat A–Z shards, with a partial sector index. - [Sitemap index](https://graphiq.ai/sitemap.xml): lists every sitemap below. - [Page sitemap](https://graphiq.ai/sitemap-pages.xml) - [Dossier sitemaps](https://graphiq.ai/sitemap-dossiers-1.xml): five chunks of 25,000 URLs; the sitemap index above lists every chunk. - [Directory sitemap](https://graphiq.ai/sitemap-directory.xml): the browse tree itself — the A–Z pages, the sector pages and the search page. - [robots.txt](https://graphiq.ai/robots.txt) ## Machine-readable mirror - [Agent dossier layout](https://agentsite.graphiq.ai/): the homepage rendered as a machine-readable dossier — semantic HTML, JSON-LD (Article, ProfilePage, Organization, Dataset) and the Markdown payload side by side on one page. A representation, not a second source of truth: canonical content lives at https://graphiq.ai/, which the mirror declares, and both hosts describe the same entity through one Organization @id. - [Mirror Markdown payload](https://agentsite.graphiq.ai/llms.txt): the same page as plain Markdown, with YAML frontmatter carrying title, canonical URL and dossier metadata. ## Notes - Dossier pages are server-rendered. The company facts are in the raw HTML, not injected by JS. - Every dossier carries a visible last-updated stamp and schema.org structured data. - Any dossier URL returns Markdown if you append `.md` or send `Accept: text/markdown`, at roughly 80% fewer tokens than the HTML. - Every other content page on this host — the homepage, /platform/, /solutions/, /use-cases/, /compare/, /resources/, /blog/, /company/, /legal/ — answers `Accept: text/markdown` the same way, at the same URL. No `.md` suffix exists for these; the header is the switch. - Attribution: cite as GraphIQ.ai with the dossier URL and its last-updated date.