Fixing an Entity Gap

Last updated: June 24, 2026

The Entity Gap is whether the core databases AI engines rely on actually know who you are. AI engines decide whether a brand is real and verifiable by cross-referencing entity databases, and if you're missing from the ones they trust, they fall back to competitors who are present. This is the first PR sub-gap to fix, because nothing downstream compounds without it.

The 6-point entity check

Run this in about 30 minutes and rate each pass or fail:

  1. Wikidata. Search your brand on wikidata.org. Is there an entry with populated properties (instance of, industry, founder, inception date, official website)? If no or partial, claim or create it. Wikidata propagates to the Google Knowledge Panel within 2–8 weeks.

  2. Google Knowledge Panel. Google your brand. Does the right-hand panel show logo, description, founded date, founders, and HQ, and is the data correct? Wrong data here is arguably the most damaging, because it spreads. Fix it via Wikidata, your Google Business Profile, and your Organization schema.

  3. LinkedIn Company. A verified page with an accurate description, employee count, and a specific industry tag ("Software" alone isn't specific enough, so use the narrowest match).

  4. Crunchbase. Profile filled in: description, industry tags, founders, funding (if applicable), competitors. Pass if 8 of 10 fields are populated.

  5. AngelList (Wellfound). Especially for early-stage and VC-backed brands. An active, claimed listing with team, pitch, funding, and open roles.

  6. GitHub. An organization-level profile with a README, pinned repos, and a link back to your domain. Mandatory for dev-tools and any brand with an API or SDK; optional otherwise.

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 these records are the same entity. It's 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, different industry tags, and the brand name written differently ("Rankscale" vs. "Rank Scale"). Pick one official spec for each field and apply it everywhere. Your Grounding Page 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, then claim the six entity platforms referencing it. That sequence prevents the "which profile is correct?" problem engines hit when cross-referencing.

Do this now

Check the six platforms and rate pass/fail. Whichever is blank, claim it today. Start with Wikidata, since it propagates to the Google Knowledge Panel within a few weeks.

Related Articles

  • What Is a PR Gap?

  • Building a Grounding Page

  • Adding JSON-LD Schema for AI Visibility

  • Closing a Citation Gap