Dattva Blog · July 2026
How to Run Your Own AI Visibility Audit in Under Ten Minutes
A basic AI visibility audit takes under ten minutes and needs no special software: type five real buyer questions about your category into ChatGPT, Perplexity, and Gemini, and record whether your brand is named, which competitors appear instead, and which source each platform seems to be relying on.
Why a Basic Check Is Worth Doing Before Anything Else
A ten-minute check will not replace a full diagnostic, but it answers the one question that actually matters before investing in anything else: is there a real gap here at all. Many marketing teams assume their AI visibility is fine because their SEO is strong, an assumption that a basic check either confirms or immediately disproves. The exercise costs nothing beyond ten minutes and access to ChatGPT, Perplexity, and Gemini, and it gives a founder or marketing lead a direct, first-hand answer rather than a second-hand claim from an agency or a tool. Why ChatGPT skips a brand in the first place is worth understanding before running the check, since it shapes what to actually look for in the results.
More detail is covered in Dattva's approach to this starting question.
What to Actually Check in Ten Minutes
Start with one category query, phrased the way a real buyer would ask it, such as naming the best provider in your category for your region. Run the identical query across ChatGPT, Perplexity, and Gemini rather than checking only one, since citation behaviour differs meaningfully between platforms. Next, run one branded query asking specifically what your company does, checking whether the model describes your business accurately or confuses it with something else. Add one comparison query naming your brand against a specific competitor, and one geography-specific query if your business serves a particular region or city. Finally, run one problem-specific query reflecting a narrower buyer requirement, such as a certification or specific use case your company addresses. Five queries across three platforms is fifteen checks total, comfortably doable inside ten minutes once the queries are written down in advance. This same logic underpins how Dattva builds a locked Money Prompt list for a full engagement, just scaled down to a quick manual version.
This same cross-platform logic underpins Dattva's multi-model verification methodology, just applied at full diagnostic scale.
What the Results Usually Reveal
Most brands running this exercise for the first time discover at least one platform where they are completely absent for a query they assumed was safe. Most brands score between 35 and 52 out of 100 on a full diagnostic before any GEO work begins (Dattva internal diagnostic data), and a basic five-query check tends to surface the same pattern in miniature: present on one platform, absent on another, described inaccurately on a third. The most common surprise is a branded query returning an inaccurate or outdated description of the company, since this is the one query type a team assumes will always be correct and often is not. Why the three major platforms decide citations so differently explains why this platform-by-platform inconsistency is the norm rather than the exception.
Closing whatever gap this check reveals is the core of Dattva's content intelligence work.
How to Read Your Own Results Correctly
A single absence on one platform for one query is not yet a pattern worth reacting to; the same check repeated a week later, or across two or three additional queries, is what turns a single data point into a signal. If the brand is missing across all three platforms for the same category query, that is a stronger and more urgent signal than a single miss on one platform. If a competitor appears consistently in the brand's place, note which source the AI model appears to be citing, since this points toward the specific fix needed rather than a vague sense that visibility is generally weak. Dattva's citation gap intelligence work takes this exact observation and turns it into a ranked, actionable list.
Restructuring the specific pages this check flags is handled through Dattva's GEO content engine approach.
When a DIY Check Is Not Enough
A basic check is a starting signal, not a complete picture. It does not reveal why a gap exists, whether it is a crawler block, a content structure issue, or a missing citation footprint, and it does not track whether the gap is widening or closing over time. A full diagnostic adds a locked Money Prompt list, a cross-platform score across all four models including Claude, and a human review step to confirm results rather than relying on a single manual pass. Running a free diagnostic is the natural next step once a basic check confirms a gap worth investigating properly.
A broader comparison of tools built for this exact next step is covered in Dattva's research on GEO platforms built for mid-market B2B teams.
Conclusion
A ten-minute check is the fastest way to find out whether a real problem exists, and it costs nothing beyond the time it takes to type five questions into three chat windows. Whether the result confirms a gap or rules one out, it replaces a guess with a first-hand, verifiable fact.
Frequently Asked Questions
Do I need any special tool to run this basic audit?
No, a browser and access to ChatGPT, Perplexity, and Gemini is all that is required. The exercise deliberately uses only the tools a real buyer would already have access to.
How many queries should I check to get a meaningful read?
Five queries, one category, one branded, one comparison, one geography-specific, and one problem-specific, run across three platforms gives a reasonably representative first read without taking more than ten minutes.
What if my brand appears fine on all five queries?
A clean result on a basic check is a good sign but not conclusive, since a full diagnostic checks a wider set of Money Prompts across all four major platforms including Claude and re-checks results over time.
Should I check Claude as part of this basic audit?
Including Claude alongside ChatGPT, Perplexity, and Gemini gives a more complete picture, though checking three platforms in under ten minutes is a reasonable starting point if time is limited.
What should I do if I find my brand is missing?
Note exactly which queries returned an absence and which competitor or source appeared instead, since this specific detail is what a proper GEO fix needs to target, rather than assuming a generic content push will resolve it.
See where your brand stands in AI answers today
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