A founder shares a name with someone else. Elsewhere, a product still appears under its former brand. We establish the approved identity, map only the relationships it can support, and reconcile outside records that repeat conflicting facts. Those sources remain beyond our control, so we monitor discrepancies without promising uniformity.

Entity & Knowledge Graph Optimization service artwork

Some of the 500+ brands we've worked with

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The work covers identity, relationships, machine-readable markup, topic structure, and consistency across outside records. Technical owns implementation checks. Authority handles corroborating sources, while the enterprise parent service governs high-risk changes.

Owned pages, structured markup, and authoritative third-party sources may all repeat the same identity and relationships. We make the approved record unambiguous and track where those systems diverge from it.

This capability owns semantic identity and relationship architecture. Technical AI Search Optimization checks how the record renders and crawls. AI Search Authority handles third-party corroboration and citation strength. High-risk updates remain under the enterprise parent module's change governance.

Outside records stay outside our control, so we monitor discrepancies without promising uniformity.

Namesakes, aliases, former names, and overlapping product names go into one inventory before anyone decides what is broken, then names, identifiers, and relationships are reconciled into a single approved model with a named fact owner on each field. Zeo owns semantic identity and relationship architecture; Technical AI Search Optimization checks how the record renders and crawls, AI Search Authority handles third-party corroboration, and high-risk updates stay under the enterprise parent module's change governance. After a fix ships we replay the query or discrepancy that exposed it and test cases the team did not optimize for, and the issue closes only once those checks pass.

The investigation follows the specific confusion. Every field needs a named fact owner, and that person approves the correction before a record changes.

Inventory the collisions
Namesakes, aliases, former names, and overlapping product names go into one list before anyone decides what is broken.
Reconcile an approved record
Names, identifiers, and relationships are brought into one model. Each field retains its named fact owner. That owner approves the value that other systems should repeat.
Send each discrepancy to its method
Knowledge Graph & Schema owns markup. Third-Party Consistency handles outside directories. Topic & Entity Authority takes the content structure, with one method owner accountable for each issue.
Test beyond the original conflict
After the fix ships, we repeat the query or discrepancy that exposed it and check cases the team did not optimize for. The issue closes only after those checks.

Our clients describe the work in their own words.

We were working with a global supplier on SEO before. Accessibility and process management were a little more difficult with these teams. At the same time, in terms of budget, global suppliers were more costly for us due to exchange rate differences and man-hours. When we started working with Zeo, we first went through an audit, fixing the results and problems. After these processes, we placed SEO in a strategic place for digital marketing and created an always-on SEO strategy for our brands and implemented it step by step.

Didem Namver, Sr. Head of Digital

As MediaMarkt, we have been working with Zeo for 6 years in a very tight and coordinated way to manage our SEO processes. We receive the highest level of feedback from Zeo on increasing and improving our organic traffic. It is very enjoyable to get fast support on all our issues 24/7 and to work with Zeo to better embrace and continuously improve our brand, and we recommend it to everyone.

Yiğit Ertem, Ecommerce Web Channel & PIM Department Manager

We strictly follow the regulations and algorithms that can change at any time; We need to act quickly. At this point, Zeo has become a partner that meets all our expectations with its professional, innovative and solution-oriented approach. The Zeo team has become a stakeholder in success by looking at our optimization processes and our brand as their own value. As the Acıbadem Healthcare Group family, we would like to thank all the Zeo team, who work tirelessly, constantly improve, and do not compromise on keeping their energy high under all circumstances!

Emre Baykal, Director of Digital Marketing

Besides increasing our website's visibility in the UK with Zeo, the experienced team that closely follows its work and has extensive experience in its field has always made us feel like we are in the right place for SEO. We are on the right track with Zeo in a country and industry where competition is high.

Kaan Deniz, Founder

We talked to a number of agencies while we were planning our website's infrastructure migration, and we ended up with Zeo. They start by understanding the problem, then bring fresh approaches to solving it better. Communication is strong, and they support you at whatever point you turn out to need it. Every minute we spend working with them convinces us further that we made the right call. If you're looking for someone to sort out the digital side, you're in the right place.

Zeynep Yaşar, Business Development Specialist & E-commerce Project Manager

Organic search engagements establishing the indexation, content depth, and domain authority that AI answer engines draw from.

Allianz Türkiye

SEO Visibility: 56%+, Organic Sessions: 1.7M+

Hyundai

82% Increase in Organic Sessions Thanks to SEO Optimization

Lexus Türkiye

100% Increase in Organic Sessions!

GEO work starts with recording what AI answers actually say about a brand today, then moves to the parts you can influence. The consultants below work on the specific capability this page covers.

Content we've produced on this topic

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Generative search leaves less to read than a rankings report does, so most of this work is assembling evidence from tools that were never built for it.

Entity and structured data

Content evidence and sourcing

A brand, product, or person being misrepresented is enough to start. Conflicting records lead us back to their owners and show which of the five methods should handle the correction.

Trace the entity record

By team

By industry

By tool

Entity & Knowledge Graph Optimization

Choose the record or relationship causing confusion

Entity Inventory & Disambiguation

Entity Relationship Mapping

Knowledge Graph & Schema Architecture

Topic & Entity Authority Architecture

Third-Party Entity Consistency

One approved version of the facts across systems

Entity work has a defined stopping point

Every field has a named fact owner who approves the value other systems repeat

Resolve the conflict while keeping fact ownership clear

Inventory the collisions

Reconcile an approved record

Send each discrepancy to its method

Test beyond the original conflict

What it is like to work with Zeo