Your team asks the same brand question across selected AI engines and gets different descriptions or sources. We preserve those answers, reproduce the gaps, and test the evidence around them. The resulting roadmap names the owner, measure, and stop rule for each decision.
GEO Strategy & AI Search Audit service artwork

Some of the 500+ brands we've worked with

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  • Sporx
  • ETS Tur
  • Tosla
  • Vitra
  • Bluemint
  • Axa Hayat Emeklilik
The audit gives you a versioned record of current visibility and the constraints behind it. A finding moves into delivery only when the evidence holds up, with its dependencies and decision rules still attached.

We start with what the platforms visibly return. Your teams can then check crawl access, rendered content, entity facts, claim support, cited sources, and first-party outcomes. The surrounding evidence tells us whether the observation supports a diagnosis.

Once reproduced, technical, content, entity, authority, and measurement findings move to the relevant GEO capability. Strategy keeps the priority, owner, acceptance rule, and original evidence connected so the delivery team does not have to repeat the investigation.

The sample is agreed before collection, which keeps prompt selection tied to real decisions rather than flattering ones.

Your audiences, markets, journey stages, platforms, and run conditions define the panel before anything is collected, and raw responses stay stored with their citations while specialists inspect crawl access, rendered text, entity facts, page support, recurring sources, and any first-party outcomes available for comparison. Observations, proxies, hypotheses, and constraints are labelled separately, and unresolved platform behaviour stays an explicit unknown rather than a soft conclusion. Strategy keeps the priority, owner, acceptance rule, and original evidence connected; technical, content, entity, authority, and measurement findings move to the relevant GEO capability with that record attached.

The baseline comes from a representative question set. Business and delivery owners review the choices after specialists have tested the evidence behind each answer.
  1. Agree the sample before collection

    Your audiences, markets, journey stages, platforms, and run conditions define the panel. Agreeing them first keeps prompt selection tied to actual decisions, including results that present the brand unfavorably.
  2. Save the answers with their sources

    Raw responses and citations stay together. Specialists inspect crawl access, rendered text, entity facts, page support, recurring sources, and any first-party outcomes available for comparison. The record remains versioned.
  3. Mark the limits of the evidence

    Observations, proxies, hypotheses, and constraints receive separate labels, while unresolved platform behavior remains an explicit unknown.
  4. Make the funding decision

    A validated finding may be fixed, tested, monitored, deferred, or rejected. Its dependencies, owner, measure, review window, and stop rule remain part of that decision.

Our clients describe the work in their own words.

Didem Namver
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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

Yiğit Ertem
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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

Emre Baykal
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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

Kaan Deniz
Jack Martin

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

Zeynep Yaşar
Armağan

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.

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.

AI answer and citation tracking

  • ProfoundThis page's own first step, agreeing the sample before collection, is what Profound's panel-based tracking exists to do: the same question set runs repeatedly across the platforms and markets in scope, and every answer is retained with its date, model, and mode, which is the raw material the roadmap's baseline gets built from.
  • Peec AIWhere the audit needs to separate a branded question's result from a non-branded category question, Peec AI's prompt-level tags are what keep that distinction visible instead of collapsing everything into one score, which matters directly to this page's own point that a single visibility number cannot explain a pattern.

Entity and structured data

  • Screaming FrogOnce a material pattern is confirmed in the panel data, this page's diagnosis step inspects technical access alongside entity facts, content support, and source exposure; Screaming Frog is the crawl that answers the technical-access half of that question before the roadmap assigns the finding to a specific method.
  • Google Search ConsoleBefore concluding that an AI engine is choosing not to cite a page, the audit checks Search Console to confirm the page is indexed and served at all, since an indexing problem and a selection problem call for different roadmap items entirely.

Content evidence and sourcing

  • NotionThe audit's final handoff, a roadmap that names the owner, measure, and stop rule for each decision, gets written and shared as a Notion document, since a roadmap only funds work if every team it assigns work to can open and reference the same record.
The first sample uses the markets, questions, and platforms your team cares about. You leave with evidence that supports a decision, including the option to defer the work.
Plan the first sample