Know whether ChatGPT recommends you or your competitor, before your buyers decide.
Search behavior has shifted. Buyers ask AI tools a full question and expect one direct answer, and your brand is either named in it or left out. A GEO audit measures exactly how often ChatGPT, Perplexity, Gemini, and Google AI Overviews mention, cite, and describe you, with the evidence behind every finding.
GEO Audit Search behavior has shifted. Buyers ask AI tools a full question and expect one direct answer instead of a list of links. When AI pulls that answer, your brand is either named in it or left out. There is no second page to scroll to.
This matters most early in the buying journey, where AI-generated recommendations now shape the shortlist before a human ever visits your website.
Most SEO audit tools were built for blue links, not AI answers. They measure keyword rankings and backlinks. They cannot tell you whether ChatGPT names you when a buyer asks for the best provider in your category.
A GEO audit closes that gap. It measures something a standard SEO report never touches, which is whether AI systems trust your content enough to cite it. A broader generative engine optimization service then acts on those findings.
AI citations do not line up neatly with Google rankings. Field audits and academic research both show that pages ranking third to eighth on Google sometimes get cited by AI more often than the page ranking first.
The reason is simple. AI engines reward different signals, such as direct-answer structure, citation density, and clear entity definitions, not the same factors that win a Google ranking. Strong Google performance and weak AI visibility regularly live on the same website.
Definition. A GEO audit is a structured assessment of how often your brand is mentioned, how often your website is cited as a source, and how accurately your brand is represented across AI search platforms.
We measure five core metrics:
Mentions tell you whether AI knows you exist. Citations tell you whether AI trusts your website enough to point users to it. A brand can be mentioned often yet rarely cited, a sign AI is learning about you from third-party sources, not your own pages.
We run the same prompt set against your named competitors and score who gets named, in what position, and how often. This turns a vague worry about falling behind in AI search into a hard number you can act on.
The most painful category is being mentioned often but described wrongly. These errors are often the cheapest to fix. When we trace one to its source, and Perplexity shows its citations, first-party corrections can shift the result within 30 to 60 days.
Different buyers use different engines, so single-platform testing leaves blind spots.
The highest user volume, and it often answers confidently from training data with limited live retrieval.
Shows its citations openly, making it the best engine for tracing exactly which source shaped an answer.
Grounded in Google's live index, so structured data and recent coverage feed it directly and make errors more correctable.
The answer block sitting above traditional results, reaching buyers who never click through.
A strategy optimized only for ChatGPT leaves Perplexity, Gemini, and AI Overviews uncovered. For B2B and SaaS audiences, Perplexity and ChatGPT dominate. For technical or information-dense categories, Claude and Perplexity carry disproportionate weight.
Four-platform coverage is the safe default until your own data proves where your buyers actually research.
A clear, repeatable process, designed to be re-run quarterly so you can measure progress, not just diagnose a moment in time.
We build natural-language prompts aligned to how your customers research, covering category, comparison, and direct brand questions. Minimum 30 prompts. Below 20, variance dominates. Above 60, extra insight drops off. Thirty is the reliable baseline.
We run every prompt across all four engines and log query, platform, mention, accuracy rating, errors, and cited sources. Competitors are scored on the exact same rubric for a true like-for-like comparison.
We fetch your HTML, robots.txt, llms.txt, and structured data to find what blocks AI engines from accessing and surfacing your content.
We check for missing or broken structured data, crawl issues, broken internal links, and content gaps, then validate the schema types AI engines actually recognize.
We normalize results into one GEO score with category sub-scores. A senior strategist reads the data and translates it into specific opportunities and risks for the next 60 to 90 days. You finish with a roadmap, not a data dump.
We record each response in a structured log, capturing the query, the platform, whether your brand was mentioned, the accuracy rating, the specific errors, and the sources cited. Nothing is anecdotal. When you ask why a score moved, we can point to the exact prompt and the exact answer behind it.
Most brands have never measured it. The first audit usually surprises them.
A polished, no-fluff deliverable plus an optional live walkthrough with the strategist who ran it.
Your score is split into weighted categories, and every finding cites the evidence it came from. You see the exact prompt, the exact answer, and the exact source behind each number.
We don't hand you 200 issues. We hand you a ranked list, sorted into critical, medium, and minor, so your team knows what to fix first for the biggest gain in AI visibility.
If your buyers research before they buy, AI answers are now part of that research. Being named, or missed, by AI directly shapes the shortlist.
If you rank well on Google but rarely appear in ChatGPT or Perplexity, you have the most to gain. Your content is strong. It simply isn't structured the way AI engines reward, and that is fixable.
GEO is not a feature we added last quarter. It is core to how we work. We approach AI visibility as its own discipline, with its own metrics and methodology, because treating it as an SEO add-on is exactly why most brands are invisible in AI answers.
AI engines lean heavily on structured data to understand and trust your content. As an official Shopify, İkas, İdeasoft, and T-Soft partner, our team builds schema and structured-data systems as a core competency, so the fixes in your roadmap are ones we can actually implement, not just recommend.
A GEO audit is the measurement step. It tells you where you stand today so the work that follows is aimed at the right gaps. Once you have the findings, our full generative engine optimization service turns the audit into an ongoing program that builds citation share across ChatGPT, Perplexity, Gemini, and AI Overviews.
If you sell on Shopify, the same thinking applies to your storefront with Shopify GEO, which optimizes product and collection pages for AI answers. And because AI visibility sits on top of solid organic foundations, many brands pair the GEO audit with a classic SEO audit to see the full search picture in one pass.
Common questions about how a GEO audit works, what it measures, which AI platforms we cover, pricing and timelines, and what you receive at the end.
Find out whether AI search engines recommend you or your competitor. We start with a short intake on your ideal customer, your core offers, and your key competitors, then tailor the prompt set around your real go-to-market and deliver an evidence-backed score with a clear 90-day plan.
The brands that manage AI visibility now will pull away from the ones that wait. A GEO audit is the fastest way to see where you stand today and exactly what to do next, with the evidence to back every recommendation.
Tell us about your brand, your competitors, and your go-to-market, and we'll get back to you to scope your GEO audit and schedule a walkthrough of the findings.
