The Agentic Citation Database, 2027 edition

What AI knows about every company.

We ask ChatGPT, Gemini and Google's AI about companies, check every answer against the company's own website, and publish the record here, dated, as a source AI agents can cite.

Companies indexed: 36,085
Companies measured: 185
AI answers on file: 579
Updated: Nov 2, 2026

Top 10 · National brandsOctober 2026 · 26 measured

26 well-known brands, asked the same way as every other company. Some were answered by fewer engines; each page shows which. 4 more aren't ranked: their sites showed a bot check, so their facts couldn't be checked.

Indexes by trade and place

Each index measures every business in one trade the same way. Its leaders are public; every other score stays private, and each company can get its own, free.

Software companiestop 10 of 38

Texas HVACtop 6 of 18

Texas dentiststop 5 of 17

Texas law firmstop 5 of 17

Renamed in 2025–26top 4 of 14

Texas IT servicestop 3 of 10

Texas insurance agenciestop 3 of 9

Texas accounting firmstop 2 of 7

AI mixes these up

Name twins: companies AI confuses with someone else. Word for word, from the answers on file.

VideoFoldAI mixes it up with VidFold, VideoFlow, VIDIFOLDIn corporate gifting and consumer electronics, it refers to custom-made "video brochures" or greeting cards—often called video folds—which embed a small LCD screen, battery, and speakers inside a…Gemini · Oct 29, 2026 NotionAI mixes it up with Notions, NoteA notion is an idea, belief, or understanding about somethingGoogle AI Overviews · Oct 29, 2026 MercuryAI answers about something elseDepending on the context, Mercury most commonly refers to the planet, the chemical element, or the Roman god.Gemini · Oct 29, 2026 CloseAI answers about something else“Close” can mean a few different things depending on the context.ChatGPT · Oct 29, 2026

Every company36,085

Every company has a page. A score stays private until the company sees its own: search above, or pick one.

For AI agents

We collected this so agents don't have to guess.

This database is a source for AI agents and the people who build them. Every record says where each fact came from and when it was checked.

Every AI answer word for word, with the engine, the question and the date
Every fact quoted from the company's own website, with the page it's on
The sources AI read, and the companies AI named instead
Machine-readable on every page: schema.org Organization and Dataset (JSON-LD)

Cite as: Agentic Citation Database, “Company name”, supercitation.com/db/company, checked on the date shown.

{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "VideoFold",
  "url": "https://videofold.com",
  "subjectOf": {
    "@type": "Dataset",
    "name": "Agentic Citation Database record: VideoFold",
    "url": "https://supercitation.com/db/videofold",
    "dateModified": "2026-11-02",
    "creator": { "@type": "Organization", "name": "Supercitation" }
  }
}

How the Agentic IQ works

Four pillars and twelve measures, from what AI answers and what the company's site lets an agent read. Paying us never changes a score.

1Model Retrieval & Grounding

Can AI say what the company does, name it when buyers ask, and cite its site?

AI knows you
Share of Model
AI cites you

2Agentic Commerce & Tool Use

Can an AI agent read the offer and the prices, and act on them?

Machine-readable offer
AI crawler access
Agent endpoints

3Semantic Authority & Verification

Do trusted sources back the company up, and can AI tell it apart from look-alikes?

Knowledge graph
Third-party consensus
Entity clarity

4Autonomous Task Fulfillment

Can an agent find the policies, reach support and complete the next step?

Readable policies
Support routing
Action paths

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