Entity Consistency: Why Your Wikidata Entry and G2 Profile Matter for AI Visibility

Entity consistency is the work of making the web agree about you.

What "entity" means here

To a search or answer engine, your company is an entity: a node with properties (name, founding date, location, products, prices, people) and relationships (competitors, categories, integrations). The engine assembles that node from every source it can find. Your job is to make the assembly easy and the result correct.

The sources that matter most

In rough order of how often they are read for company facts:

1. Your own site, especially the homepage, about page, and pricing page.
2. Your Organization schema, including the sameAs links that explicitly connect the other profiles to you.
3. Review platforms: G2, Capterra, TrustRadius, and the category-specific ones.
4. Wikidata, which many systems use as a neutral identity anchor even when there is no Wikipedia article.
5. Business data sources: Crunchbase, LinkedIn, app marketplaces, Product Hunt.
6. Press and lists: publication "best of" articles and funding announcements.

If your facts differ across these, the engine has to pick, and it may pick the one you least want.

The facts to align

Keep a single sheet with the canonical version of each:

• Legal and brand name, and the exact spelling and casing you use
• One-sentence description of what you do and for whom
• Founding year
• Headquarters city and country
• Current pricing summary and plan names
• Core integrations and platforms
• Category terms you want to be associated with
• Key people and their titles

Then audit every source against the sheet. The usual findings: a founding year that differs by one, a description that still reflects a pivot ago, old plan names on a review profile, and a directory with a dead link.

Wikidata, specifically

Wikidata is a structured, openly editable database that many engines and knowledge graphs read. An item for your company with correctly referenced properties (instance of: business; industry; founded; headquarters; official website; and identifiers linking to your Crunchbase, LinkedIn, and other profiles) gives engines a neutral place to confirm your identity. Create it conservatively, cite sources for each claim, and never add promotional text. Then put the item's URL in your Organization schema's sameAs.

Closing the loop with sameAs

The sameAs field is the explicit statement: these profiles are all me. Add every profile you control. This single field converts a scattered set of pages into one entity in the engine's model, and it is still missing from most company schema.

How we run it

AEO GEO Labs does this as a defined pass, "make it impossible to mix you up": canonical fact sheet, Organization and Product schema drawn from it, llms.txt drawn from it, Wikidata item created or corrected, every review and directory profile claimed and aligned, and sameAs wired across all of them. The weekly report then shows whether engines start stating your facts correctly and naming you more consistently, which is the outcome the whole pass exists for.

Start with the sheet

Write the canonical fact sheet today; it takes an hour and exposes every ambiguity in your positioning. Then check your three most-read profiles against it. If you want the full sweep done and tracked, AEO GEO Labs includes it in every engagement.