تقرير تشخيصي معمق يكشف نسبة ظهور علامتك، دقة المعلومات المتداولة عنها، ومدى استشهاد النماذج بصفحات موقعك الرسمية.

بعض من أكثر من 500 علامة تجارية تعاونا معها

علامات تجارية رائدة ومتميزة تعاونا معها عبر مختلف القطاعات.

عرض جميع الشركاء والعملاء
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.

يصف شركاؤنا تجربة العمل مع Zeo بكلماتهم الخاصة.

  • Didem Namver

    كنا نعمل سابقاً مع مورد عالمي في تحسين محركات البحث، وكانت إدارة العمليات والتواصل أكثر صعوبة وتكلفة. عندما بدأنا التعاون مع Zeo، بدأنا بتدقيق شامل وحلول عملية للمشاكل التقنية، ثم وضعنا استراتيجية مستدامة مكنتنا من تحقيق أهدافنا خطوة بخطوة.

    ديديم نامفير، رئيسة القطاع الرقمي
  • Yiğit Ertem

    في ميديا ماركت نعمل مع Zeo منذ سنوات بتنسيق عالٍ لإدارة عمليات تحسين محركات البحث. نحصل منهم دائماً على أفضل التوصيات لزيادة وتحسين حركة المرور العضوية، ويسعدنا الدعم السريع والاحترافي على مدار الساعة.

    يغيت إرتيم، مدير التجارة الإلكترونية والقنوات الرقمية

يقدم البحث التوليدي بيانات أقل من تقارير الترتيب التقليدية، لذا فإن جوهر عملنا يكمن في استخلاص الأدلة من أدوات متقدمة بنيت لهذا الغرض.

تتبع إجابات واقتباسات الذكاء الاصطناعي

  • Profound
  • Peec AI
  • Otterly.AI
  • Semrush
  • Ahrefs
  • OpenAI
  • Google Gemini

الكيانات والبيانات المنظمة

  • Screaming Frog
  • Google Search Console

أدلة ومصادر المحتوى

  • Notion

القياس وإعداد التقارير

  • Google Analytics
اطلب تدقيقاً شاملاً لتحليل مكانة علامتك في أكثر من 100 استعلام رئيسي في قطاعك عبر أنظمة الذكاء الاصطناعي المختلفة.
طلب تدقيق AI

Should we start with an audit or go straight to GEO implementation?

An audit is useful while the cause of weak or inaccurate AI visibility is unclear. If your team has already reproduced a constraint and the evidence is usable, the specialist capability can take it on directly.

Which AI platforms, markets, and questions do you include?

We agree the panel before collection around your audiences, markets, journey stages, business priorities, and available access. The sample is versioned and reported by platform. Questions that present the brand unfavorably stay in the panel. That matters because prompt selection can otherwise skew the baseline.

Can you prove why a model mentioned, cited, or omitted our brand?

We can test observable explanations involving access, rendering, entity consistency, content support, and source fit, while hidden model logic remains inaccessible and evidence that cannot separate two explanations is recorded as an explicit unknown.

What happens after the strategy and audit work?

You receive the baseline, constraint map, validation backlog, and sequenced roadmap, with every recommendation linked to its observation or hypothesis. Approved work moves to the relevant technical, content, entity, authority, or measurement team together with its evidence, owner, acceptance rule, and review point.

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