Google and AI models don’t read your website like humans do. They build a mental map of what you are: your category, your people, your products, your competitors, your industry. That map is an entity graph. It’s the skeleton beneath your web presence. Without one, search engines and AI models see you as a pile of unrelated pages. With one, they see a coherent brand that belongs in an industry with a name attached to it.

Most brands have no entity graph at all. They post content that mentions their name in different ways, scatter their company info across profiles no one connects, and wonder why Google hasn’t given them a Knowledge Panel. Building an entity graph fixes that. Here’s how.

What Is an Entity Graph?

An entity graph is the set of connections Google and AI models have mapped about your brand. It answers these questions: Who are you? What do you do? Who runs you? What products do you make? What competitors do you face? How do journalists talk about you?

When Google crawls your website, it doesn’t just see text. It extracts entities: your brand name, your founder’s name, your CEO, your location, your industry keywords. Then it connects those entities. Your founder links to your brand. Your brand links to your industry. Your products link to problems they solve. Your industry links to adjacent industries.

Google has been building entity graphs since the Knowledge Graph launched in 2012. Today it’s embedded in everything: Google Search, Google Maps, the Knowledge Panels you see on the right side of search results, and the featured snippets that appear above organic results.

AI models like ChatGPT and Perplexity use entity graphs differently. They don’t show them visually. Instead, they use entity relationships to decide which brands to mention when answering questions. If you have a strong entity graph in their training data and the sources they fetch, you get cited. If you don’t, you get bypassed for a competitor who does.

How Google Builds Entity Graphs

Google doesn’t ask you to submit an entity graph. It infers one through data collection across multiple sources.

First, your website. When Google crawls your site, it looks for structured data. Schema.org markup tells Google what each piece of your site means. If you use Organization schema with your name, founding date, location, and social profiles, Google captures that. If you use Person schema for your founder or CEO, that gets captured too.

Second, Wikidata. Wikidata is a free, open-source database of structured facts. Wikipedia articles link to Wikidata entries. Companies, founders, and people without Wikipedia pages can have Wikidata entries too. If your founder has a Wikidata page listing their education, prior companies, and awards, that data flows into entity graphs. If your company has a Wikidata page with your founding year, headquarters, and notable people, Google sees it.

Third, third-party mentions. When journalists write about you, when analysts mention your brand in reports, when industry directories list you, Google sees those mentions. If those mentions include your location, your category, and your founder’s name in consistent ways, they strengthen your entity graph. Inconsistency weakens it.

Fourth, social profiles. Your official Twitter, LinkedIn, and YouTube pages contain structured data about your brand. Google indexes that. If your Twitter bio says “CEO of Acme Corp. AI tools for writers” and your LinkedIn Company Page says the same thing, Google connects those profiles to your entity and strengthens recognition.

The Components of a Strong Entity Graph

Building a strong entity graph means controlling five components.

1. Core Brand Data: Name, Location, Category

Your brand needs consistent identity data everywhere. Name, headquarters location, and primary category should be identical across your website, Wikidata, Google Business Profile, social profiles, and any business directory you’re listed in.

Don’t use different names. If you’re “Acme Corp AI” on your website, don’t list yourself as “Acme Corporation” on LinkedIn or “ACME Corp.” on your Google Business Profile. Use the same name format everywhere.

Your location should be a real address, not just a city. Google uses address precision to validate your entity. If your website says you’re in San Francisco but your Google Business Profile says Los Angeles, Google sees conflicting data.

Your category should be specific. Don’t say “software company.” Say “AI-powered content generation platform for marketing teams” or “AI legal research tools for in-house counsel.” Specific categories tie you to narrower entity graphs with less competition.

2. Structured Data: Schema Markup on Your Website

Schema.org provides templates for structured data. You add them to your HTML, and search engines read them.

Use Organization schema on your homepage. Include:

Use Person schema for your founder and CEO. Include:

If you have physical locations, use LocalBusiness or Store schema for each one with its own address and phone number.

If you sell products or services, use Product and Service schema. Link each product back to your Organization entity. Include category, description, and price if applicable.

Google’s Structured Data Testing Tool (search.google.com/structured-data-testing-tool) shows you how Google reads your schema. Use it to catch errors.

3. Wikidata: The Universally Linked Entity Database

Wikidata is the backbone of entity graphs because Wikipedia articles point to it, and knowledge bases across the web reference it.

Create a Wikidata entry for your company if you don’t have one. Go to www.wikidata.org/wiki/Q1. Click “Create a new item.” Add:

Create Wikidata entries for your founders and CEO if they don’t have them. Add:

Link everything. Your company’s Wikidata entry should link to your founders. Your founder’s entry should link back to your company. Your company should link to industry categories and related companies.

This creates a web. When an AI model or search engine indexes Wikidata, it sees all these connections. Your entity becomes harder to ignore.

4. Business Listings and Directories: Consistent NAP Data

NAP stands for Name, Address, Phone. Directories check if this data is consistent across the web.

Audit where your company is listed:

Fix inconsistencies. If you moved offices, update every listing. If your phone number changed, update everywhere. If you use a “dba” (doing business as) name, decide on one official name and use it in primary directories.

Google’s Business Profile is the most important. Claim it if you haven’t. Verify your address by postal mail. Add:

Keep your Business Profile updated. When you post to it, that content feeds into local search results and entity recognition.

Entity graphs gain authority from external sources mentioning your brand in context.

Journalists covering your industry who mention your brand by name, your founder by name, and your product category in the same article are building your entity graph. That article becomes a data point in your entity’s profile.

Industry analysts who feature you in reports do the same. Analysts Research firms like Forrester, Gartner, and IDC publish reports on software categories. Being mentioned in one, even a few lines, signals authority to entity graph builders.

Backlinks work too, but the context matters. A link from a tech news site like TechCrunch with anchor text “Acme AI raises funding” is better for your entity than a link from a directory with anchor text “visit Acme.”

The goal is consistent third-party validation of who you are and what you do. That validation teaches search engines and AI models to treat you as an authoritative entity in your category.

Step-by-Step: Build Your Entity Graph

Start here.

Week 1: Audit and Unify Your Current Data

List every place your company appears online. Include:

Document how you’re described in each place. Write down the exact name, category, location, phone, and website you’re using. Note differences.

Create a master document with the official versions: your legal company name, your “doing business as” name if you have one, your exact headquarters address, your main phone number, your official category.

Week 2: Fix Your Website

Add schema.org markup to your website. Start with Organization schema on your homepage. Use a schema generator like Schema.org’s interface or JSON-LD format.

If you use a website builder like Webflow, Squarespace, or Wix, check if it has schema markup built in. If it does, fill in the fields. If not, you may need to add custom code or use a plugin like Yoast SEO (for WordPress).

Add Person schema for your founder and CEO on your About page or a dedicated team page.

Test your markup with Google’s Structured Data Testing Tool. Fix any errors it flags.

Week 3: Create or Update Your Wikidata Entry

Go to Wikidata and search for your company. If it exists, edit it. Add missing data: founders, location, founding date, website.

If it doesn’t exist, create it. You’ll need a Wikidata account (free, takes two minutes).

Create Wikidata entries for your founder and CEO if they don’t have them. Link them to your company’s Wikidata page.

This takes a few hours but pays dividends. Once your data is on Wikidata, it syncs across knowledge bases.

Week 4: Claim and Optimize Your Business Profiles

Claim your Google Business Profile if you haven’t. Verify the address via mail.

Fill in every field:

Do the same for Apple Maps and Bing Places. Make sure Name, Address, Phone, and Website match your master document exactly.

Update your LinkedIn Company Page. Write a detailed description. Link to your website. Add your official logo. Fill in the industry, company size, and founding date.

Week 5: Build Earned Authority

This is ongoing, but start now. Create a plan to get mentioned in relevant publications. You have three options.

First, reach out to journalists who cover your industry. Send them story angles, not pitches. Journalists want leads, not PR. If you have data or insights relevant to their beat, offer to share it or do an interview.

Second, submit to analyst reports. Firms like Forrester, Gartner, and IDC invite companies to be included in reports. The process is free. Fill out their questionnaires. Answer carefully and honestly. Being included in even one relevant report signals authority.

Third, speak at industry conferences. When conference websites list speakers, they usually include your company and bio. That’s another data point for your entity graph.

None of this works if you’re vague. Be specific about what you do, who your customers are, and what problems you solve. Specificity is how entity graphs form.

Tools to Audit Your Entity Graph

Three tools show you how Google and AI models see your entity.

Google Search Console shows how Google understands your site. Check the “Enhancements” section. It shows what schema markup Google found and whether it’s valid. Fix any warnings or errors.

Wikidata browser (www.wikidata.org) lets you search for your company and see what data is on file. Use this to verify your Wikidata entry is complete and linked properly.

SEMrush Knowledge Panel Tool (if you have an SEMrush account) shows whether you have a Google Knowledge Panel and what data is displayed. It’s not free, but it’s the clearest view of your entity graph from Google’s perspective.

AI models like ChatGPT, Perplexity, and Claude rely on entity graphs to decide what to cite. When you ask Perplexity “What’s the best AI tool for email marketing,” it doesn’t randomly pick a brand. It searches its training data for entities it has recognized as authoritative in email marketing and AI. It looks for consistent mentions, strong data sources, and entity relationships.

If your brand has a weak entity graph, Perplexity won’t know you exist. If you have a strong one, you’re in the pool of candidates it considers. The stronger your entity graph, the more likely you show up.

Building an entity graph is slow work. It’s not a hack. You won’t see results in a week. But after 60 to 90 days of consistent action—schema markup on your site, Wikidata entries, business directory updates, earned mentions—you’ll see your brand appear in AI search results where it belongs.

That’s an entity graph working.