Test the request and representation path
Technical AI Search Optimization

Some of the 500+ brands we've worked with
See all referencesEvidence engineering can use
Pin each failure to a layer, owner, and pass condition


AI Crawler Access & Governance


Rendering & Extracted-Content Parity


LLM-Readable Information Architecture


Structured Data & Visible-Content Validation
The engineering decision
Locate the first technical point where the fact breaks
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.
Work owned elsewhere
Adjacent problems keep their existing owners
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.
Scope and ownership
Specialists produce the evidence; engineering approves and ships the change
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.
Follow the failure from request to release
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.
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.
Change the earliest failing layer
The owner approves the smallest fix at the first divergence, followed by retests on affected templates and holdout URLs.
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.
Clients on the work
What it is like to work with Zeo
Our clients describe the work in their own words.
Adjacent search evidence
Case Studies
Organic search engagements establishing the indexation, content depth, and domain authority that AI answer engines draw from.
People who watch how AI cites a brand
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.

Can Mutioğlu
Senior SEO Executive

Elif Naz Akan Karakoç
Senior SEO Executive

Samet Özsüleyman
SEO Manager

Sinem Bakır Yavaş
Senior SEO Executive

Sena Önder
Senior SEO Executive

Ruhan Tiryaki
Senior SEO Analyst

Ali Özgün Öz
SEO Executive

Bensu Tınastepe
Senior SEO Analyst

Yağmur Bayram
Sr. SEO Analyst

Emir Kağan Kahveci
SEO Analyst

Zafer Yıldız
Web Analytics Manager

Ataberk Yüzat
SEO Executive

Deniz İmre Temiztürk
Content Specialist
Content we've produced on this topic
Tools we use
What we watch AI answers with
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
- Screaming FrogThis page's own process, follow one priority URL through production and compare every representation, starts with a Screaming Frog crawl run under the target crawler's user-agent, which is the first representation the raw HTML gets diffed against before rendering or reconciliation enters the picture.
- Google Search ConsoleThe comparison step needs more than one rendering engine's opinion; Search Console's URL Inspection tool renders the live URL with Google's own infrastructure, which is the reference render this page's audits check a client's own build against when a divergence is suspected.
- Schema AppThis page's FAQ is explicit that a technical engagement is not just pasting llms.txt or adding more schema; Schema App is where markup that already exists gets checked for parity with the approved entity model on an ongoing basis, which is the maintenance half of that answer, distinct from the one-time markup authoring Entity & Knowledge Graph Optimization owns.
Crawl and rendering for AI agents
- Cloudflare AI Crawl ControlWhere a client's own logs are inconclusive about whether a specific AI crawler was ever blocked at the edge, Cloudflare's AI Crawl Control gives a per-bot allow/deny and hit record, which is what turns a suspected access problem into a confirmed one before the engineering handoff names it as the earliest failing layer.
- Prerender.ioWhen this page's own audit traces a fact's loss specifically to the rendering layer, not the route or the answer-module boundary, Prerender.io is the mechanism engineering gets handed to close that gap: it serves a pre-rendered snapshot to a recognized crawler instead of the client-side bundle the crawler otherwise can't execute.
- Bing Webmaster ToolsBecause Copilot's answers are grounded in the Bing index rather than Google's, this page's technical checks pull Bing Webmaster Tools' crawl stats and index coverage as a distinct data point from Search Console, not a redundant one, whenever a client's priority answers need Copilot-specific verification.
Start with the technical path
Put a reproducible failure in front of engineering


Questions engineering teams raise


































