Generative Engine Optimization
What entity work unlocks.
AI Visibility
Entity & Knowledge Graph
A model that cannot tell you apart from a similarly named company will default to the one it can resolve. Ambiguity is the most common and most fixable cause of AI invisibility.
At a glance
- Pillar
- AI Visibility
- Cycle time
- Weeks
- Prerequisite
- None: this is the base
- Measured on
- Resolution accuracy
- Included in
- Every AI engagement
Entity work is the practice of making an organisation unambiguously identifiable to machines, so that every other visibility investment is attributed to the right brand.
Entity & Knowledge Graph · definitionWhy ambiguity costs you first
Answer engines identify the entities in a question before they compose prose. An unresolvable brand is filtered out before the answer is written.
Resolution happens before generation
If the model cannot name you with certainty, nothing downstream matters.
Descriptions drift
Directories, aggregators and old press describe you as you were three years ago. Models average those descriptions, so stale claims become the official version.
It is the cheapest layer to fix
Schema, claim consistency and disambiguation are structural work with a short cycle time.
How it works
Audit resolution
What a model returns for your brand name, and which look-alike entities compete with you.
Write the canonical description
One sentence, one category, one audience. Deployed without variation everywhere.
Deploy structured identity
Organization, Service and Person schema, sameAs links, and disambiguating copy.
Correct third-party records
Directories, aggregators, knowledge bases and partner pages brought into agreement.
Audit for drift
Records re-checked on a schedule, because they decay quietly.
What is included
01
Resolution audit
How models and knowledge bases currently identify you.
02
Canonical description
A single verifiable sentence, plus category and audience statements.
03
Schema architecture
Validated Organization, Service, Person and sameAs deployment.
04
Disambiguation copy
Explicit differentiation from look-alike brands.
05
Third-party corrections
Directory, aggregator and knowledge base record work.
06
Drift monitoring
Scheduled re-audits with change reporting.
How it is measured
Whether models and knowledge bases resolve you correctly, describe you accurately, and stop confusing you with anyone else.
- Resolution accuracy: whether a model returns you, and only you, for your brand name
- Description accuracy: category, audience, geography and offering stated correctly
- Claim coverage: how much of your structured record is present and verifiable
- Collision rate: how often a similarly named entity is returned instead
- Schema validity: coverage and error rate across priority page types
Baseline figures · to supply per client
Entity work is not structured-data SEO
| Dimension | Structured-data SEO | RankingBite |
|---|---|---|
| Goal | Rich results in search listings | Correct resolution inside AI retrieval |
| Scope | Markup on your own pages | Owned markup plus third-party records |
| Disambiguation | Not addressed | Core of the work |
| Maintenance | Set once | Audited for drift on a schedule |
| Success measure | Rich snippet appears | A model describes you correctly and consistently |
When identity is the problem
A good fit when
- Your brand name collides with another company, product or common phrase.
- Models describe your category, pricing or market incorrectly.
- You have rebranded, merged or changed your offering recently.
Not the right service when
- Your entity already resolves cleanly and descriptions are accurate.
- You have no third-party presence at all yet.
- You want a one-off schema deployment with no follow-up.
Entity work is included in every AI visibility engagement we run. It is available standalone where identity is the only broken layer.
Frequently asked questions
Do we need a Wikidata entry?
It helps, because it is one of the most widely reused structured records on the web. It is not sufficient alone, and it must be supported by verifiable third-party sources rather than created in isolation.
How long does entity remediation take?
Owned-surface work ships in weeks. Third-party corrections depend on each platform, and knowledge base acceptance can take a couple of months.
What about sub-brands and product lines?
Each gets its own record and description, linked to the parent organisation. Collapsing them is a common cause of models attributing your features to the wrong name.
Will fixing entities alone increase citations?
Sometimes substantially, where identity was the only broken layer. Where content is thin or coverage absent, entity work makes those deficits visible rather than solving them.
Related services
Branding & Positioning
The language side of the same problem.
Local Citations
Location records as entity work.