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. In one audit for a major European automotive brand, the numbers looked like this:
Measured across 182 EV buying questions, five AI surfaces, and three markets, June 2026. Brand anonymized.
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. In the same audit, the brand's flagship model page scored 11 of 100 on a raw-HTML basis and 64 rendered in a browser; the strongest rival page tested serves plain HTML and scored 72 on both. To a training crawler, that flagship page was about four 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 the retainer to track progress and get your content fixes drafted for you. The programme is the full service: we deliver everything ready to publish, your team pastes it in.
One-time engagement
Retainer
Premium retainer
The AI Visibility Inspector shows what AI engines actually read from any URL: the share card, meta tags, Schema.org blocks, and an AI-readiness grade out of 100. Up to 5 scans a day, no login.
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
No ranking or mention guarantees. AI products change weekly: models swap, indexes refresh, answer formats move. Anyone promising a fixed position or a guaranteed mention inside them is selling a number they cannot control.
What we do commit to: a measured baseline of where you stand, a prioritized fix list with every fix delivered ready to implement, and the dashboard trend as the proof. Every answer is stored verbatim with its timestamp and model version, so the numbers can be re-checked, and a re-scan after your changes go live shows what moved.
And we never touch your CMS. Your team pastes the delivered fixes in: answer-first copy, FAQ sections with matching schema, JSON-LD snippets. You keep control of your site; we stay accountable for the measurement and the material.
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 deliver the fixes ready to implement, and your team pastes them in. Every content gap comes with the wording already drafted: answer-first copy, complete FAQ sections with matching FAQPage schema, and copy-paste JSON-LD snippets. The Baseline Audit includes a prioritized fix list with effort estimates for every gap. We need no CMS access: your dev team or agency works from the delivered material, and we re-run the audit after changes go live to measure the impact. The AI Visibility Programme makes this a monthly rhythm.
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.
The usual causes, in the order we check them: a model or index update changed which sources the assistants read; a competitor started answering the questions you used to win; your own pages changed and broke readability (rendering, schema, redirects); or buyer demand shifted and the question mix moved with it. AI products change weekly, so a one-off dip only counts as a drop once it survives a re-scan. Because we store every answer verbatim with its timestamp and model version, we can tell you which of the four causes it was instead of guessing.
Use a tool such as Profound or Otterly.AI if your team only needs the measurement and can act on the numbers itself; published tiers start at $29 per month. Hire a consultant when the numbers need to turn into shipped fixes: content, schema, rendering, and third-party coverage. We compared the tools and the consultant model side by side, with published prices, in our buyer's guide.
Read the buyer's guide: AI visibility tools vs a GEO consultant →
Related guides: what your website needs to appear in AI answers and GEO vs SEO.
Page updated 30 July 2026.
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.