TL;DR. The Entity Gap is whether the core entity databases AI engines rely on actually know who you are. Six platforms to check: Wikidata, Google Knowledge Panel, LinkedIn Company, Crunchbase, AngelList, GitHub (the last two matter most for startups and dev-tools brands). Any gap here undermines everything downstream. Fix: claim and verify each, cross-link them via sameAs in your Organization schema, build a Grounding Page (Module 5.9) as the official anchor.
What the Entity Gap is
AI engines decide whether a brand is a real, verifiable thing by cross-referencing entity databases. If you are missing from the databases engines trust, they fall back to competitors who are present. That is the whole mechanism.
The 6-point entity check (30 minutes)
1. Wikidata
Go to wikidata.org. Search your brand name. Is there an entry with populated properties (instance of, industry, founder, inception date, official website)? If yes: pass. If no or partial: fail. Claim or create the entry.
2. Google Knowledge Panel
Google your brand name. Does the right-hand panel show logo, description, founded date, founders, HQ? Pass if yes and data is correct. If the panel is wrong, that is a fail (arguably the most damaging, because wrong data spreads). Fix by updating Wikidata, Google Business Profile, and Organization schema on your own site.
3. LinkedIn Company
Verified company page with accurate description, employee count, and a specific industry tag? "Software" alone is not specific; use the narrowest match. Pass or fail.
4. Crunchbase
Profile filled in: description, industry tags, founders, funding rounds (if applicable), competitors listed. Pass if 8 of 10 fields populated.
5. AngelList (Wellfound)
Especially for early-stage and VC-backed brands. Active listing with team, pitch, funding, open roles. Pass if the brand page exists and is claimed.
6. GitHub
Organization-level GitHub profile with README, pinned repos, and a link back to your domain. Mandatory for dev-tools and any brand with an API or SDK. Optional for the rest.
What a full "pass" looks like
All six populated, consistent across platforms (same founded date, HQ, team size), and cross-linked via the sameAs property in your Organization schema:
{
"@type": "Organization",
"name": "Rankscale",
"sameAs": [
"https://www.linkedin.com/company/106164954/",
"https://www.crunchbase.com/organization/rankscale"
]
}The sameAs array tells AI engines "all of these records are the same entity." This is the single highest-leverage technical entity fix.
Consistency rules
The data on each platform must match. Common inconsistencies that break entity linking:
- Different founded dates on LinkedIn vs Crunchbase
- Different HQ cities after a relocation (update all, not just one)
- Different industry tags (pick one narrow category, use it everywhere)
- Brand name written differently ("Rankscale" vs "Rank Scale")
Pick an official spec for each field. Apply it to every platform. Your Grounding Page (Module 5.9) is the authoritative source; every external profile should mirror it.
The Grounding Page as anchor
The Grounding Page is the official URL that every sameAs points back to. Build it first (Module 5.9), then claim the six entity platforms referencing it. That sequence prevents the "which profile is correct?" question engines run into when cross-referencing.
Do this now:
Check the 6 platforms. Rate pass/fail. Whichever is blank, claim today. Start with Wikidata; it propagates to Google Knowledge Panel within 2–8 weeks.
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