ضبط استجابة السيرفر، وسياسات ملف robots.txt للروبوتات الذكية (GPTBot, PerplexityBot)، وتسهيل استخراج البيانات النقية من موقعك.

بعض من أكثر من 500 علامة تجارية تعاونا معها

علامات تجارية رائدة ومتميزة تعاونا معها عبر مختلف القطاعات.

عرض جميع الشركاء والعملاء
A general technical ticket is hard to close. We keep each failure with its evidence chain, accountable owner, and acceptance rule so engineering knows what changed and how to test it.

We test whether answer engines can fetch, render, extract, and reconcile the facts on your site. Once the failure is reproducible, we identify the smallest change that addresses it. Engineering receives the reproduction evidence and a check that the release must pass.

Data feeds and freshness remain with the parent modules until an ecommerce or local engagement establishes a distinct method. Agent log analysis waits for repeatable bot verification. Content, entity, and measurement teams receive their findings with the technical evidence attached.

Every recommendation arrives with a reproduction of the failure and the check the release has to pass.

We follow one priority URL through production — redirects, CDN behaviour, WAF rules, and the final response — because robots.txt alone cannot establish access, then diff source HTML, rendered DOM, and extracted text field by field to record the exact condition under which a required fact or qualification drops. The smallest fix goes in at the first divergence with its owner's approval, followed by retests on affected templates and holdout URLs. Data feeds and freshness stay with the parent modules until an ecommerce or local engagement establishes a distinct method, and agent log analysis waits for repeatable bot verification; content, entity, and measurement findings are handed on with the technical evidence attached.

This is a technical investigation with separate responsibilities. Specialists gather and interpret the evidence, engineers approve the change, and named owners decide whether the result meets the acceptance rule.
  1. Follow one priority URL through production

    Redirects, CDN behavior, WAF rules, and the final response show what the crawler receives on the live path. robots.txt alone cannot establish access.
  2. Compare every representation

    We diff source HTML, rendered DOM and extracted text field by field. The record shows the exact condition under which a required fact or qualification drops.
  3. Change the earliest failing layer

    The owner approves the smallest fix at the first divergence, followed by retests on affected templates and holdout URLs.
  4. Replay the case after release

    The original failure runs again against its acceptance rule. Citation and referral movement is tracked separately because those outcomes carry different caveats.

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.

الكيانات والبيانات المنظمة

  • Screaming Frog
  • Sitebulb
  • Schema App
  • Google Search Console

الزحف والعرض لوكلاء الذكاء الاصطناعي

  • Cloudflare AI Crawl Control
  • Prerender.io
  • Bing Webmaster Tools
  • Botify
  • Lumar
  • Oncrawl
  • BrowserStack
  • WebPageTest
  • Ryte
تأكد من أن بنيتك التقنية ترحب ببرامج الزحف الذكية ولا تهدر مواردهم في معالجة أكواد ثقيلة وغير مفيدة.
فحص البنية التقنية لـ AI

How is this different from a standard technical SEO audit?

A standard audit usually centers on crawlability and indexation for search engines. This work also tests extraction and reconciliation. We check whether a material fact survives rendering and whether machine-readable claims agree with visible content. The page must remain coherent when a retrieval system reads it. After release, the original finding runs again.

Do you just paste llms.txt or add more schema?

llms.txt enters the work only with a named consumer, a documented hypothesis, and log-based verification. Structured data stays minimal and matches visible facts. Neither artifact can force an AI answer engine to select or cite a page.

Can a technical fix guarantee visibility or citations?

Visibility and citations cannot be guaranteed because third-party model selection remains probabilistic, while the technical failure itself receives a reproducible before-and-after check covering access, structure, evidence, and measurement conditions.

Where does the GEO Checklist fit alongside a technical engagement?

The GEO Checklist is an educational implementation-readiness resource. Commercial work establishes the scope, evidence, ownership, and approval for the change. Teams can use the checklist afterward to continue the acceptance checks in-house.

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