---
title: "Entity Optimization: Get AI to Recognize and Recommend You"
description: "Knowledge graph optimization for B2B brands. Fix weak entity signals so ChatGPT, Claude, and Gemini know who you are and when to recommend you."
lang: en
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            "text": "Not always, but it helps significantly.\n\n• Wikipedia is the highest-impact entity source for AI\n• A well-sourced page dramatically improves recognition\n• 'Notability' requirements mean not every company qualifies\n• We assess your notability and build toward it if you do not qualify yet\n• Alternative: Strong Wikidata presence can partially substitute\n\nIf you qualify for Wikipedia, we help create and maintain your page. Learn how to get your company on ChatGPT at https://growtika.com/geo-hub/get-company-on-chatgpt."
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Knowledge Graph Optimization 

# AI Doesn't Know Who You Are.  
Entity Optimization Fixes That.

AI platforms understand brands through knowledge graphs. If your entity signals are weak, AI hedges. Or worse, it recommends someone else. We fix how AI understands you.

[Check Your Entity Strength](/contact)

Trusted by leading companies

![Trusted by leading companies](/images/trusted-logos.svg)

The Entity Gap 

## Why AI Does Not Know Your Brand 

Why AI Does Not Know Your Brand

### AI Describes Your Competitor in Detail. You Get One Vague Sentence.

Ask ChatGPT about your competitor. It explains their product, lists features, mentions use cases. Ask about you. 'I don't have detailed information' or a generic description that could apply to anyone.

### Your Information Is Different on Every Platform. AI Does Not Know What to Trust.

Your LinkedIn says one thing. Crunchbase says another. Your website says something else. AI sees conflicting signals and loses confidence.

### You Are Not Connected to the Topics Buyers Search For.

AI matches queries to entities through associations. 'Best SIEM for healthcare' requires AI to connect your brand to 'SIEM' and 'healthcare.' If those associations do not exist, AI cannot recommend you.

### Competitors Have Clear Entity Presence. You Are a Question Mark.

Check your competitors on Wikidata, Crunchbase, G2. They have complete profiles, consistent information, clear category associations. To AI, they are a known quantity. You are a risk.

The Entity Solution 

## How We Build Entity Authority 

How We Build Entity Authority

### Entity Audit and Mapping

We map your current entity presence across all 40+ knowledge graph sources. Wikipedia, Wikidata, Crunchbase, G2, Capterra, LinkedIn, industry databases. Find every gap, inconsistency, and missing association.

### Cross-Source Consistency

Your brand information must be identical everywhere AI looks. We update all sources to present consistent name, description, category, and associations. One truth, everywhere.

### Association Building

We connect your brand to the topics, use cases, industries, and categories that matter for your buyers' queries. When someone asks 'best \[category\] for \[use case\],' AI knows you belong in that answer.

Live LLM Signals 

## What AI Actually Reads 

These structured signals feed directly into LLM training data and real-time retrieval. This is how we make AI understand and recommend your brand.

Structured Content 

LLM Training 

AI Citations 

Schema.org Entity 

Tells AI who you are and what you do 

{ 
  "@type" :  "Organization" , 
  "name" :  "Growtika" , 
  "knowsAbout" : \[ "ChatGPT optimization" ,  "AI visibility" \] 
} 

LLM Sitemap 

A roadmap that tells AI bots what to read first 

<?xml version="1.0"?> 
< llm-sitemap \> 
  < page  priority= "1.0" \> 
    < title \> AI Visibility Agency </ title \> 
  </ page \> 
</ llm-sitemap \> 

Answer Block 

Quotable 

The exact text AI will quote when recommending you 

Growtika  helps SaaS companies appear in  ChatGPT recommendations  within  60 days . We test your brand across  500+ prompts , identify visibility gaps, and build the  entity presence  that makes AI platforms recommend you. 

### Why This Matters

LLMs extract knowledge from structured data: schema markup, LLM sitemaps, llms.txt files, and quotable answer blocks. Without these signals, AI platforms cannot understand or recommend your brand. We build these signals across 40+ sources that feed AI training data.

### Entity Optimization Impact 

40+

Entity Sources

Knowledge graph sources we optimize

3x

Recognition Rate

Average improvement after optimization

90

Days

Typical timeline to measurable results

Hundreds

Search Terms

Ranking potential within a year

Your Journey 

## Our Entity Process 

From audit to authority

01 

### Entity Audit

Map your current presence across all knowledge graph sources. Find missing profiles, inconsistent information, and broken associations.

02 

### Gap Identification

Compare your entity presence to competitors. Identify exactly which sources and associations create their advantage.

03 

### Source Optimization

Update all 40+ sources with consistent, complete information. Create missing profiles. Fix inconsistencies. Build associations.

04 

### Authority Building

Strengthen entity signals over time through third-party mentions, structured data, and authoritative content.

01

### Entity Audit

Map your current presence across all knowledge graph sources. Find missing profiles, inconsistent information, and broken associations.

02

### Gap Identification

Compare your entity presence to competitors. Identify exactly which sources and associations create their advantage.

03

### Source Optimization

Update all 40+ sources with consistent, complete information. Create missing profiles. Fix inconsistencies. Build associations.

04

### Authority Building

Strengthen entity signals over time through third-party mentions, structured data, and authoritative content.

Entity Sources 

## Where AI Gets Entity Information 

AI platforms synthesize brand understanding from multiple sources

Knowledge Source

AI Impact

What We Do

Wikipedia / Wikidata

Very High

Create or enhance page, ensure accuracy, build citations

Crunchbase

High

Complete profile, update funding, add all details

G2 / Capterra

High

Claim profile, optimize description, encourage reviews

LinkedIn Company

Medium

Optimize description, maintain consistent information

Schema Markup

Medium

Implement Organization, Product, FAQ schema

Industry Databases

Medium

Submit to all relevant directories and listings

We optimize all 40+ sources that contribute to AI entity understanding.

## What Our Clients Say 

> "Having worked with many SEO agencies and been disappointed 95% of the time, Growtika is the exceptional 5% that has directly impacted our business as a true dedicated partner."

![Asaf Raz](/images/testimonials/asaf-raz.jpg)

Asaf Raz

CMO, Agora

> "What stood out most was their combination of high-quality work and tangible results, paired with a great attitude."

![Tom Sadon](/images/testimonials/tom-sadon.jpg)

Tom Sadon

Head of Marketing, Clutch

> "Growtika delivered exceptional results and pipeline growth with their deep-tech industry expertise."

![Mor Levy Gayer](/images/testimonials/mor-levy.jpg)

Mor Levy Gayer

VP Marketing, Groundcover

## Ready for Entity Authority? 

Build the knowledge graph presence that makes AI confident in recommending you.

[Audit Your Entity Presence](/contact)

Capabilities 

## Entity Optimization Capabilities 

Complete knowledge graph strategy

### Entity Audit

Map your knowledge graph.

Source inventory Gap identification Inconsistency detection 

### Wikipedia Strategy

Build Wikipedia presence.

Notability assessment Content development Citation building 

### Association Mapping

Connect to topics.

Topic associations Category positioning Use case connections 

### Entity Monitoring

Track entity strength.

Consistency monitoring Authority tracking Competitive comparison 

### Structured Data

Schema markup.

Organization schema Product schema FAQ schema 

### Multi-Source Updates

All AI training sources.

Industry databases Authority sites Knowledge bases 

## Frequently Asked Questions 

### What is entity optimization?

Entity optimization is strengthening how AI platforms understand and recognize your brand.

Learn the full knowledge graph optimization process at [Llm Visibility](/blog/llm-visibility).

-   AI builds understanding from knowledge graphs (Wikipedia, Wikidata, Crunchbase, etc.) 
-   Weak signals mean AI does not know what you do or whether to trust you 
-   Strong signals mean AI confidently recommends you for relevant queries 
-   It is the foundation of AI visibility. Without entity presence, nothing else works. 

### What sources affect entity recognition?

AI platforms pull from dozens of sources. The most important:

We audit and optimize all 40+ sources that feed AI knowledge graphs. See our AI search checklist at [Seo Ai Search Checklist](/blog/seo-ai-search-checklist).

-   Very High Impact: Wikipedia, Wikidata 
-   High Impact: Crunchbase, G2, Capterra, industry-specific databases 
-   Medium Impact: LinkedIn, schema markup, authoritative third-party mentions 
-   Supporting: News coverage, review sites, professional directories 

### Do we need a Wikipedia page?

Not always, but it helps significantly.

If you qualify for Wikipedia, we help create and maintain your page. Learn how to get your company on ChatGPT at [Get Company On Chatgpt](/geo-hub/get-company-on-chatgpt).

-   Wikipedia is the highest-impact entity source for AI 
-   A well-sourced page dramatically improves recognition 
-   'Notability' requirements mean not every company qualifies 
-   We assess your notability and build toward it if you do not qualify yet 
-   Alternative: Strong Wikidata presence can partially substitute 

### How is this different from regular SEO?

SEO optimizes for search rankings. Entity optimization builds AI understanding.

You need both. But entity optimization is the foundation for AI visibility. Explore why SEO alone is not enough at [Google Rankings Need Geo](/geo-hub/google-rankings-need-geo).

-   SEO: Keywords, backlinks, page optimization, technical factors 
-   Entity: Knowledge graph presence, cross-source consistency, associations 
-   SEO result: Higher rankings on Google 
-   Entity result: AI knows who you are and recommends you 

Case Study 

## From "I'm Not Certain" to Definitive Authority 

A technical blog had strong content but weak entity signals. Google did not trust the author. AI did not know who they were. Site had dropped from Google rankings entirely.

### What We Fixed

Element

Before

After

Author Profile

Name + photo only

Name + credentials + expertise areas

About Page

Basic bio

Rich bio + publications + features

Structured Data

None

Person, Organization, FAQ, Breadcrumbs

Schema Markup

Missing

Site-wide JSON-LD implementation

### The Result

55x

Impression Increase

5K→274K

Monthly Impressions

12 mo

Recovery Time

✓

Authority Status

Entity signals tell AI who you are and why you are worth citing. Without them, AI hedges or ignores you entirely.

## Related Use Cases 

[

### AI Visibility Audit

Test your brand across 500+ AI prompts

Learn more



](/use-cases/ai-visibility-audit)[

### Trust Hub Development

Build authoritative content AI cites

Learn more



](/use-cases/trust-hub-development)[

### Competitors Getting Citations

Close the competitive gap

Learn more



](/use-cases/competitors-ai-citations)[

### SaaS Not on ChatGPT

Why AI doesn't know you exist

Learn more



](/use-cases/saas-not-on-chatgpt)[

### Zero-Click Traffic

Recover traffic lost to AI answers

Learn more



](/use-cases/zero-click-traffic)[

### Organic Traffic Decline

Diagnose and fix traffic drops

Learn more



](/use-cases/organic-traffic-decline)

## Get Your In-House Growth   
Team Now

If you're ready to discover a new path to growth, tailored to your specific niche, let's talk...

[Book a Free Consultation Call](/contact)

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-   [SaaS Not on ChatGPT](/use-cases/saas-not-on-chatgpt)
-   [Competitors Cited](/use-cases/competitors-ai-citations)
-   [AI Visibility Audit](/use-cases/ai-visibility-audit)
-   [Entity Optimization](/use-cases/entity-optimization)

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