Built for
Automotive, consumer electronics, insurance, travel, hospitality. Industries where customers compare options and ask AI for recommendations before making a decision. If your buying cycle starts with a question, this is your market.
Rankings are fine. But when you type your brand into ChatGPT or Perplexity, it barely shows up. Something is off.
One template fix deploys across every market. The audit scales from one domain to twenty without repeating the work.
Fair Warning
We deliver a live, interactive dashboard with real numbers. If you need 40 slides for a board presentation, an agency is the better fit.
B2B SaaS with a sales-led funnel, enterprise infrastructure, developer APIs. If nobody asks an AI "which [your product] should I buy?", this service won't help you.
The audit produces a prioritized fix list. If there's no team or budget to implement changes within 3 months, the data just gets stale.
The New Reality
Your SEO playbook was built for Google's blue links. Page titles, meta descriptions, backlinks. That game still matters, but a new one started next to it.
AI search engines don't rank pages. They read your website, compare it to competitors, and decide whether to recommend you. The rules are different: structured data matters more than keyword density. Schema markup is how LLMs understand what your pages are about. The answer to "what car should I buy?" now comes from an AI, not from page 1 of Google.
We built a system that measures both sides: how ready your website is for AI crawlers (Website Readiness), and how often AI actually mentions your brand when customers ask (AI Search Visibility).
The Deliverable
Every engagement produces one deliverable: a branded, interactive dashboard with your data, your competitors, and a prioritized action plan. Password-protected. Shareable as a link.
Illustrative example: not real client data
Automated scoring of your domain: structured data, Schema.org coverage, content accessibility, FAQ schema, hreflang, meta tags. Your score benchmarked against 5 competitors. Every gap comes with a specific fix and effort estimate.
Custom question sets covering your full buying journey, run through the AI products your customers actually use, in a real browser: ChatGPT, Perplexity, Google AI Overviews, and Gemini, plus a grounded API view for Claude. Each market is scanned separately, several times, to catch variation. For each question: does your brand appear? In what position? Is it recommended? What is the sentiment? Competitor comparison included.
We run the questions in the real AI products, not just through APIs, because a bare API response does not reflect what a real person sees. Real browser runs across ChatGPT, Perplexity, Google AI Overviews, and Gemini, with a grounded API view for Claude. All in one dashboard.
The System
The engine behind the numbers. We built it and we own the data, which is what sets this apart from off-the-shelf tools. Data flows left to right; the loops feed it back.
Zoom into the question engine: how we build the questions we score you on →
30 minutes. We learn your brand, your market, your competitors, and the questions your customers ask. You fill a short business context questionnaire. This shapes the prompt library we build for your audit.
We run the Website Readiness Audit against your primary domain and up to 5 competitors. The AI Search Visibility Monitor runs 70+ questions through ChatGPT, Perplexity, Google AI Overviews, Gemini, and Claude, in a real browser. Browser runs confirm what customers actually see. Takes 3 to 5 working days.
You get a branded, password-protected dashboard with all data. We walk you through the results in a 2-hour session: what the data says, what to fix first, and how the fixes connect to your existing SEO work.
The Pattern
The same shape turns up in audit after audit. Here is what it looks like, and why it happens.
When a buyer names your brand or product, the assistants almost always mention it. When the same buyer describes what they want without naming anyone, "best mid-size option," "best value," "alternatives to the obvious leader," most brands are barely there, and competitors get named instead. Those no-brand questions are exactly where the buyer is still choosing, and where being absent costs the most.
Many brand sites build their content with JavaScript. In a browser the page looks complete. To the crawlers that read raw HTML, and to the crawls that train the models, the same page can arrive nearly empty, a fraction of what it scores when rendered. Competitors that serve plain HTML score the same either way. To a training crawler, a JavaScript-only product page can be just a few words of text.
It does not buy citations on its own. Pages still get cited on brand questions, because the live answer engines route through search indexes (Google, Bing) that render the page. The value is foundational: it puts the content into the models' base knowledge, removes the dependency on search engines rendering the site correctly, and gives the content and schema work somewhere to land. Readability first, then the content counts.
This is the entry ticket to AI readiness. It does not guarantee citations on its own. Closing the discovery gap also needs earned third-party coverage.
Under the hood
Every finding is machine-readable JSON. Every recommendation links to a specific file, line, or schema type. Here's what the raw output looks like.
Engagement Models
Start with the baseline. Add monitoring when you want to track progress. Bring us in for implementation when you need hands on the keyboard.
One-time engagement
Retainer
Project-based
The AI Visibility Report: a short briefing every two weeks on what is changing in AI search, and what it means for your brand. Read the latest issue and sign up in under a minute.
The baseline audit takes two weeks. The data speaks for itself.
Or email us at turan@creative-data-engineers.com
What marketing teams ask about AI search visibility.
AI search visibility measures how often and how accurately AI systems mention your brand when users ask buying-intent questions. SEO gets you ranked in a list of links. AI search visibility gets you named, recommended, and cited in the answer itself. The signals that matter are different: structured data, FAQ schema, and content that leads with the answer.
We scan the AI products your customers actually use, in a real browser: ChatGPT, Perplexity, Google AI Overviews, and Gemini, plus a grounded API view for Claude. We add any model a client asks for. We do not rely on bare API calls or model marketplaces, because those do not reflect what a real person sees in the product. Each market is scanned separately.
From kickoff to delivered dashboard: two weeks. The process starts with a 30-minute discovery call, followed by 3-5 working days for the audit and monitoring run, and ends with a 2-hour strategy session where we walk through every finding and fix. We need your domain, industry, and 3-5 competitors. We build and suggest the question sets based on your market and buying journey. You review and validate them, and we adjust.
We recommend, provide ready-to-use content and templates, and advise your development team. We do not implement directly in CMS systems. The Baseline Audit includes a prioritized fix list with effort estimates for every gap. Your dev team or agency works from that list. If you need hands-on guidance during implementation, we offer project-based Implementation Support where we work alongside your team, review their work, and re-run the audit after changes go live.
Yes, and it runs automatically. Alongside the question scans, we collect what real people say about your brand in market conversations, such as forums and YouTube across your markets, and classify the sentiment every week. It feeds the same dashboard, so you see not only whether AI mentions you, but whether the surrounding conversation is positive, neutral, or negative, broken down by market.
The full visibility scan runs monthly, so the trend stays comparable month over month. Sentiment from market conversations is refreshed weekly. Separately, a weekly intelligence run watches how the AI products and their vendors change, so the method keeps up with a field that moves every week. Every answer is stored verbatim with its timestamp and model version, so the dashboard is a re-scorable archive, not a one-off snapshot.
Same goal, visibility, but different signals, formats, and metrics.
| Signal | Traditional SEO | AI Search (GEO) |
|---|---|---|
| Content format | Keyword-optimized pages | Structured data + fact-first answers |
| Discovery mechanism | Search engine crawlers | LLM training data + retrieval |
| Key infrastructure | Sitemap, robots.txt, meta tags | Schema.org, FAQ markup, machine-readable content |
| Measurement | Rankings, CTR, impressions | Brand mentions, citation rate, visibility score |
Authoritative references on the infrastructure AI crawlers rely on.