VectorCiteVectorCite
Atlas · 103 brands

What does a cited brandlook like?

AI engines preferentially cite brands they recognize as knowledge-graph entities — a Wikidata QID, a Wikipedia article, a cross-linked external-ID graph. Below is a curated atlas of brands that get this right, with a note on why each works. Use it as a worked example.

How to build your own

  1. 1.Get 2–3 press mentions. Wikidata reviewers need citations to verify notability. Press in TechCrunch, FT, Bloomberg, or sector trade press all count.
  2. 2.Submit a Wikidata entry. Free. Manual moderation, takes 1–3 weeks. Use a real account with edit history.
  3. 3.Cross-link external IDs. Add Crunchbase, LinkedIn, GitHub, X handle, ISIN/LEI for public companies. Each ID strengthens the entity.
  4. 4.Stub a Wikipedia article. Reuse the Wikidata citations. AI engines weight Wikipedia presence heavily.
  5. 5.Verify in our audit. The E-E-A-T category checks Wikidata presence directly — confirm the engine sees your entity.
AI labs
16 brands
Dev infra
24 brands
SaaS
17 brands
Fintech
12 brands
Ecommerce
9 brands
Media + research
13 brands
Creator tools
12 brands

AI labs

16 brands

Frontier labs and applied AI companies. Knowledge-graph presence is table stakes for engines that cite them.

Dev infra

24 brands

Cloud, hosting, observability, and developer-tooling brands that consistently get cited for technical queries.

SaaS

17 brands

Vertical and horizontal SaaS brands with strong knowledge-graph signals.

Fintech

12 brands

Payment, banking, and financial-services brands. YMVL category — Wikidata presence is mandatory.

Ecommerce

9 brands

Commerce + marketplaces with strong product schema + Wikidata entries.

Media + research

13 brands

Publications and research orgs that AI engines preferentially treat as authority sources.

Creator tools

12 brands

Design, video, and content-creation brands with proper entity coverage.

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