AI search visibility

Entity SEO: make your company unambiguous to search engines and AI

Organization and founder entities, consistent naming across profiles, and structured data that matches what's on the page.

Delivered by the AISEOExpert team, who do the work themselves.

What's included

Entity SEO & Knowledge Graph
  • Entity definition sheet
  • Profile and citation consistency pass
  • Organization and Person structured data
  • Company facts page

Method stages this service covers

  • Access
  • Understand
  • Trust
  • Retrieve
  • Cite
  • Convert

Entity SEO is the work of making your organization, founder and services unambiguous to search engines and AI systems: one name, one description and one set of facts, repeated identically on your site, on your profiles and in structured data. It covers an entity sheet that states the facts once, a consistency audit of profiles and directories with corrections, Organization and Person schema that matches the visible page, and monitoring of how assistants describe the company. The aim is that a system can tell you apart from similarly named companies and describe you correctly.

The problem

Why do machines confuse or misdescribe your company?

Search engines and assistants confuse your company with another, describe it with outdated facts, or can't connect the brand, the founder, the products and the profiles into one entity.

We define the entities, make every public source agree, and add structured data that matches the visible page so machines can resolve who you are.

  • Confused with another company

    A similarly named business or an old brand appears in answers about you.

  • Outdated facts

    Old location, old founder title, a product that was renamed years ago.

  • Inconsistent profiles

    LinkedIn, Crunchbase, directories and the site describe the company differently.

  • Schema that doesn't match

    Structured data claims things the page doesn't say, or is missing where it matters.

Assistants build their picture of a company from many sources. When those sources disagree, answers get vague or wrong. Entity work makes the sources agree and gives machines explicit, matching signals on your own site, such as structured data and sameAs links.

Where it sits in the method

Entity SEO lives in the Understand and Trust stages of the Crawl-to-Citation Method. We practise it on this site: the About page publishes the same company facts that appear in our structured data.

How we approach it

In method order, from understanding to trust.

We define the entity first, then make every profile and every page agree with it. Each step ends with a check we can show you.

See the full method
  1. Define the entities

    Understand

    Company, founder, products, services and their relationships, written once as the source of truth.

  2. Align public sources

    Trust

    Profiles, directories and partner pages updated to the same name, description and URL.

  3. Add structured data

    Understand

    Only for what the page shows; stable identifiers; one graph per page.

  4. Monitor descriptions

    Understand

    Sampled prompts asking what the company is and does, checked for accuracy.

What you get

Deliverables your team can keep current.

Every fact has one canonical version, with the profiles and markup that should carry it.

  • Entity sheet

    Canonical names, descriptions, relationships and identifiers

  • Consistency audit of profiles, directories and mentions, with corrections

  • Organization, Person and Service structured data matching visible content

  • Company facts block for the About page

  • Monitoring of how assistants describe the company

What this is designed to change

  • One consistent description of your company across the web
  • Correct relationships between brand, founder and products in search and assistants
  • Structured data that validates and matches the page

How we measure it

How do you know the entity is understood?

We record how assistants and search engines describe the company before any change, then check the same sources afterwards.

  • Accuracy of sampled company descriptions

    Source: Sampled AI prompts, scored against the entity sheet

  • Profiles aligned (share of priority set)

    Source: Profile audit

  • Structured data validation across templates

    Source: Schema validation and Search Console enhancement reports

  • Branded search impressions

    Source: Google Search Console

Proof

Results, with the working shown

Each result states the baseline, the time window and what we can't attribute to our work.

Most engagements start with the Search Visibility Diagnostic ($2,500).

It covers all six method stages, so entity issues are ranked against everything else before you commit to a sprint.

Book the diagnostic

Keep exploring

Entity SEO & Knowledge Graph questions

Straight answers to what buyers ask us most.

Still have questions? Book a call

Do we need Wikidata or Wikipedia?

Not necessarily. Consistent first-party facts and aligned profiles do most of the work. We'll say if a Wikidata item is appropriate and how to do it properly.

Is schema markup enough?

No. Structured data helps when it matches the page and the wider web agrees. Markup alone doesn't create an entity.

Does this help with AI assistants?

Yes. Assistants describe companies from the sources they retrieve; when those sources agree, descriptions are more accurate.

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