Entity optimization makes a client’s brand, people, and services unambiguous to machines: what they are, what they do, who they serve, and which topics they’re tied to. AI systems recommend brands they can confidently identify. For agencies, it’s one of the most packageable AI search services: a defined one-time setup plus ongoing monitoring.
What an entity is
An entity is a distinct, identifiable thing: a company, person, product, or concept. Search engines and AI models organize knowledge around entities and their relationships. Your client is an entity; their category is an entity. The job is making machines reliably link the two.
Why entities matter more in AI search
Say your agency’s SaaS client sells HR software. When a buyer asks “Which HR software is best for small companies?”, the AI must connect a category, a customer type, and specific brands. It only recommends your client if it already associates them with that category and customer type, and finds enough corroborating sources to be confident.
The client entity checklist
- One canonical description: a sentence stating who the client is, what they do, and for whom. Use it everywhere.
- Consistency across profiles: website About page, LinkedIn, founder profiles, Crunchbase, G2 or Capterra, Google Business Profile, directories.
- Organization schema: name, URL, logo, description, founder, and sameAs links to every official profile.
- Person schema: for authors and founders, with sameAs to their profiles.
- Links to known entities: about and mentions in article schema pointing to Wikidata concepts.
- Topical association: deep content on the topics the client wants to own.
- Corroboration: third-party mentions that describe the client the same way. The strongest signal.
- AI perception check: ask ChatGPT, Perplexity, and Gemini “What is [brand]?” and “Best [category] for [customer type]?” Log errors and gaps.
Common mistakes in client accounts
- Different descriptions on every platform.
- Founder profiles that never mention the company’s specialty.
- About pages full of mission language, no concrete services.
- sameAs pointing to outdated or inactive profiles.
- Old brand names still dominating third-party sites after a rebrand.
Packaging entity work
| Component | Scope | Billing |
|---|---|---|
| Entity setup | Canonical description, profile clean-up, Organization and Person schema, sameAs mapping | One-time fee |
| AI perception report | What ChatGPT, Perplexity, Gemini say about the brand today | Included in setup |
| Monthly monitoring | Re-check AI descriptions, fix drift, track new mentions | Monthly add-on |
| Corroboration outreach | Listicles, directories, publications | Retainer |
For agencies
- Package it: a fixed-fee entity setup that shows before/after AI descriptions, then monthly monitoring.
- What to tell clients: “AI can’t recommend a brand it doesn’t clearly understand. We make sure it does.”
- What it takes internally: schema skills, profile management across many platforms, and a repeatable AI perception check per client.
FAQ
It helps, but most B2B brands don’t qualify. Consistent profiles, schema, and third-party mentions do most of the work.
Real-time tools like Perplexity can reflect site changes quickly. Model descriptions drawn from training data take longer, so set expectations in months.
No. Smaller, focused clients often win faster because their entity is easier to define.
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