Ending a category mix-up
A firm that moved from "digital agency" to "search visibility consultancy" updates its homepage, LinkedIn, directories and structured data with one description, so answers stop listing it among web-design agencies.
↗Entity Optimization
Search engines and AI models reason about things — companies, people, products, places — and the relationships between them. Entity optimization makes sure the "thing" that is your brand is defined clearly, consistently and correctly wherever it appears.
The problem
Explained
An entity is anything distinct enough to be identified and described: a company, a person, a product, a city, a concept. Google has described its Knowledge Graph as a system for understanding “things, not strings”, and large language models similarly build associations between named things and the facts around them.
Entity optimization is the work of making your brand — and the people and products connected to it — easy to identify, hard to confuse and consistently described. It covers your website copy, your structured data, the profiles you control and the independent sources that describe you.
When an AI answer describes your company, it draws on whatever it retrieved and whatever it learned. If those sources disagree — one calls you an agency, another a software company, a third lists an address you left two years ago — the answer has to pick, and it may pick wrong. Inconsistent entities also make it harder to appear for the right category questions at all.
Entity work is therefore a quiet prerequisite for good brand representation in AI answers. It pairs naturally with brand mention building, which increases the number of credible sources that describe you, and with GEO.
Most of the effort is unglamorous and precise: finding every place your brand is described, deciding the correct version of each fact, and updating them one by one. Structured data then describes the corrected facts in a machine-readable way — Organization markup with your legal name, logo, contact points and sameAs links to verified profiles. Markup that doesn’t match visible content is avoided; Google’s guidelines require structured data to reflect what users can see.
Key factors
Prisol’s approach
We document every place your brand is described — your site, structured data, profiles, directories, marketplaces, press — and what each one says.
With you, we fix the canonical name, description, categories and facts, and decide which old facts must be retired.
Website copy, structured data, author pages and owned profiles are corrected before we approach third parties.
We update or request corrections on directories, data aggregators and partner pages, and identify credible sources where your brand should be described.
Deliverables
Scope is agreed per engagement. These are the standard components.
A spreadsheet of every known description of your brand, the facts each states and whether they are correct.
The canonical name, description, categories, offerings and key facts — a reference for your team, partners and press.
Organization (and where relevant Person, Product, Service) JSON-LD matched to visible content, with sameAs links to verified profiles.
Edits to About, contact, author and service pages so the entity is described clearly and consistently.
Profiles claimed, updated or flagged, with status, so nothing is left half-done.
Before-and-after sampling of how AI answers categorise and describe your brand.
Process
Collect every description of the brand and test how search and AI answers describe it today.
Agree the canonical facts and positioning with you.
Fix owned assets, then external profiles and listings.
Re-test brand queries and AI descriptions after recrawl and update cycles.
In practice
Illustrations of the kind of work involved — not client results.
An honest limit. Entity work changes the inputs, not the platforms. Knowledge panels and AI descriptions update on each platform's own schedule, and some third-party sources may not accept corrections. We report what was changed and what has been confirmed downstream.
A firm that moved from "digital agency" to "search visibility consultancy" updates its homepage, LinkedIn, directories and structured data with one description, so answers stop listing it among web-design agencies.
A software company shares its name with a consumer brand. Consistent product naming, sameAs links and clear descriptions help search engines and AI answers keep the two apart.
FAQ
Entity SEO
A practical checklist to audit and fix how your brand is described across your website, structured data, profiles and directories — for search and AI.
Entity SEO
Entity SEO in plain English: what entities are, how search engines and AI connect them to facts, and how to make your brand a clear, consistent entity.
GEO
Evidence-based ways to make your pages more likely to be cited in AI answers from Perplexity, ChatGPT, Google AI Overviews and Copilot — and what to avoid.
See also: case studies · contact us · all services
AI Visibility Audit
The AI Visibility Audit includes a first entity check — how consistently your brand is described, and where answers get it wrong.
Prefer email? prithvi@prisol.org