What is entity optimization?

Entity optimization is strengthening how AI platforms understand and recognize your brand. • 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: • 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 We audit and optimize all 40+ sources that feed AI knowledge graphs.

Do we need a Wikipedia page?

Not always, but it helps significantly. • 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 If you qualify for Wikipedia, we help create and maintain your page. If not, we build toward it while optimizing other sources.

How is this different from regular SEO?

SEO optimizes for search rankings. Entity optimization builds AI understanding. • 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 You need both. But entity optimization is the foundation for AI visibility. Great SEO on weak entity presence still means AI does not know you.

Entity Optimization | Knowledge Graph Visibility

LET'S TALK

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The Entity Gap

Why AI Does Not Know YourBrand

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 EntityAuthority

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 ActuallyReads

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 OptimizationImpact

40+

Entity Sources

Knowledge graph sources we optimize

Recognition Rate

Average improvement after optimization

Days

Typical timeline to measurable results

Hundreds

Search Terms

Ranking potential within a year

Your Journey

Our EntityProcess

From audit to authority

Entity Audit

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

Gap Identification

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

Source Optimization

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

Authority Building

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

Entity Audit

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

Gap Identification

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

Source Optimization

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

Authority Building

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

Entity Sources

Where AI Gets EntityInformation

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 ClientsSay

"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

CMO, Agora

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

Tom Sadon

Head of Marketing, Clutch

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

Mor Levy Gayer

VP Marketing, Groundcover

Ready for EntityAuthority?

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

Audit Your Entity Presence

Capabilities

Entity OptimizationCapabilities

Complete knowledge graph strategy

Entity Audit

Map your knowledge graph.

Source inventoryGap identificationInconsistency detection

Wikipedia Strategy

Build Wikipedia presence.

Notability assessmentContent developmentCitation building

Association Mapping

Connect to topics.

Topic associationsCategory positioningUse case connections

Entity Monitoring

Track entity strength.

Consistency monitoringAuthority trackingCompetitive comparison

Structured Data

Schema markup.

Organization schemaProduct schemaFAQ schema

Multi-Source Updates

All AI training sources.

Industry databasesAuthority sitesKnowledge bases

Frequently AskedQuestions

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

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.

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

We audit and optimize all 40+ sources that feed AI knowledge graphs.

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

Not always, but it helps significantly.

If you qualify for Wikipedia, we help create and maintain your page. If not, we build toward it while optimizing other sources.

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

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

You need both. But entity optimization is the foundation for AI visibility. Great SEO on weak entity presence still means AI does not know you.

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