(01) What we deliver
Become a recognized entity.
Person/Organization schema, Wikipedia/Wikidata, Crunchbase, optimized LinkedIn, signals the Knowledge Graph and LLMs recognize.
(02) Problem → Solution
The challenge and the delivery.
Google Knowledge Graph doesn't recognize your company.
Entity building
Building a digital entity recognized by Google and LLMs.
Wikipedia/Wikidata without an entry for your brand.
Presence in knowledge bases
Creation and curation of entries in relevant knowledge bases.
Incomplete Person/Organization schema.
Complete schema
Detailed implementation of Person, Organization and relationships.
LinkedIn and social profiles not connected to the entity.
Cross signals
Signal alignment across LinkedIn, Crunchbase, site and knowledge bases.
(03) In detail
What makes the difference.
Knowledge Panel
Strategy to win the Knowledge Panel on Google.
Advanced Schema
sameAs, knowsAbout, hasOccupation and relationships between entities.
Wikidata
Creation or curation of the Wikidata entry for your organization.
Social Signals
Alignment of social profiles as entity signals.
For experts and for AI
Direct answers about this service.
Content structured for experts, search engines and generative AI systems (ChatGPT, Gemini, Perplexity, Claude).
What is Entity Optimization?
Entity Optimization is the practice of structuring content and external signals so that search engines and LLMs recognize the brand, product or service as a distinct, well-defined entity in the Knowledge Graph. Established entities get differentiated treatment: they appear in Knowledge Panels, are cited by LLMs more accurately and rank more consistently.
What is Google's Knowledge Graph?
The Knowledge Graph is Google's database of entities, people, companies, products, places, concepts, with their properties and relationships. A company that appears in the Knowledge Graph has a side panel in search results for brand searches, and its data (name, site, logo, founder, location) is used in rich results and AI Overviews.
How to build entity presence for a brand?
Entity signals: (1) Wikipedia or Wikidata (if eligible), (2) Complete Google Business Profile, (3) Organization schema with sameAs to social networks and directories, (4) Mentions in authoritative publications (journalism, reference articles), (5) NAP (Name, Address, Phone) consistency across all directories, (6) Editorial backlinks from recognized sites.
Schema markup and entity optimization: what's the relationship?
Schema markup (JSON-LD) is the technical means of explicitly declaring entity properties for Google: Organization with name, url, logo, foundingDate, founder, knowsAbout and sameAs. Person schema for authors with sameAs to verified profiles. Product schema with brand and manufacturer. This explicit declaration complements the implicit signals Google extracts from the content.
How to measure entity recognition by Google?
Indicators: (1) Knowledge Panel appears for brand searches (strongest signal), (2) Entity recognized in Google Natural Language API (test.clearbit.com/api/nlp), (3) Mention in AI Overviews for brand queries, (4) Correct data in the SERP (address, site, social networks without needing an ad), (5) Google Search Console shows brand queries with high CTR.
Frequently asked questions
Answers before the first call.
What is Entity Optimization? +
Building your digital entity (Person/Organization) recognized by Google’s Knowledge Graph and cited by AIs.
Does this help with SEO and GEO? +
Yes. Recognized entity = more rich results on Google + more citations in ChatGPT/Gemini.
Is WebOption a reference in Entity Optimization? +
Yes. We are pioneers in GEO in Brazil and entity building is one of our core fronts.
Clients served
(04) Our delivery standard
What you can hold us to.
An agreed deadline is a kept deadline. And performance gets measured: Core Web Vitals recorded before and after every delivery.
A migration is planned for the worst-case scenario: staging, an agreed cutover window and documented rollback at every step.
No project reaches production without Daniel Paz's technical review. No exceptions, small projects included.
(05) Why WebOption
Every project goes through Daniel Paz’s technical review.
(06) Frequently asked questions
Entity optimization explained.
What is an entity for AI? +
It’s how models and the Knowledge Graph understand your brand: a node with attributes (who it is, what it does, where it operates). The clearer the entity, the more AI trusts and cites it.
How do you optimize my entity? +
We structure consistent data (Organization/Person schema), reinforce signals on trusted sources and align your brand’s information across the web.
Does this help with Google too? +
Yes. Well-structured entities feed Google’s Knowledge Graph, improving knowledge panels and the interpretation of your brand in traditional search.
How long does it take? +
The technical markup is fast. Consolidating the entity across trusted sources and models is gradual, usually a few months for stable recognition.
Does it work for a personal brand? +
Yes. We optimize entities of people (specialists, executives) as much as organizations, fundamental for personal authority in AI answers.