AI visibility audits for software companies.
E-mail marek@dioptera.eu
© 2026 Dioptera
© 2026 Dioptera
What is an AI visibility audit?
An AI visibility audit checks what ChatGPT, Perplexity and Google AI Overviews say about a software company when buyers ask them for recommendations. It shows where the company is recommended, where it's missing, who gets recommended instead, which claims about it are wrong, and which pages the engines actually read to build their answers.
Why it exists
Buyers now ask AI engines the questions they used to type into Google: "best scheduling software for a small salon", "alternatives to the market leader", "is this tool legit". The answer comes back in seconds, names three or four products, and the buyer moves on. If a company isn't in that answer, it doesn't exist for that buyer.
Most companies have never checked. The ones that do usually ask ChatGPT one question, take a screenshot, and stop. That proves nothing, because the answer changes every run.
What the audit measures
20 buyer questions per category. Not "tell me about X". The questions people actually type: best tool for a specific segment, cheapest option, easiest to use, alternatives to each major competitor, and the brand questions a hesitant buyer asks last: pricing, reviews, downsides, is it legit.
Three engines. Every question runs through ChatGPT, Perplexity and Google AI Overviews in clean, logged-out sessions, so personalization doesn't skew what buyers actually see.
Every answer and every source logged. For each answer: was the company recommended, only mentioned, or absent. Who won instead. Which pages the engine cited. That last column is where most of the value is, because it shows why the answer looks the way it does.
What comes back
A report, usually around nine pages, built to be acted on:
A scorecard of all 20 questions across three engines
A competitor map: who wins each answer the company loses, and what they published to win it
Every damaging or outdated claim about the company, quoted with its source
A source analysis: the exact pages each engine reads about the category
A prioritized list of fixes, ordered by impact
What the fixes usually look like
Rarely anything technical. In most audits the company is missing because the engines read three listicles it isn't in, or because a competitor's comparison page is the only thing on the internet answering "downsides of X". The fixes are pages to publish, sources to get into, and claims to correct. Schema markup and technical tricks have close to no measurable effect on AI citations, so the audit doesn't lead with them.
Price
The audit is a fixed fee of 1,200 USD. That covers twenty buyer questions, three engines, the report and a written fix plan. If you want the fixes done rather than described, that comes next at 2,300 USD, with the audit fee already taken off, and runs three to four weeks. After that, ongoing work is 1,200 USD a month with a three month minimum, or a quarterly re-run at 1,000 USD if you'd rather check in less often. Each step is priced before it starts and you decide separately whether to take the next one.
Who it's for
Small and mid-sized B2B software companies, typically the challenger in their category rather than the leader. Companies that just repositioned or renamed. Marketing teams of one who need the gaps found and the fixes written, not another strategy deck.
How to start
Email marek@dioptera.eu with your product and category. You'll get a reply within a day with whether the category is a fit and what the audit would cover.
What is an AI visibility audit?
An AI visibility audit checks what ChatGPT, Perplexity and Google AI Overviews say about a software company when buyers ask them for recommendations. It shows where the company is recommended, where it's missing, who gets recommended instead, which claims about it are wrong, and which pages the engines actually read to build their answers.
Why it exists
Buyers now ask AI engines the questions they used to type into Google: "best scheduling software for a small salon", "alternatives to the market leader", "is this tool legit". The answer comes back in seconds, names three or four products, and the buyer moves on. If a company isn't in that answer, it doesn't exist for that buyer.
Most companies have never checked. The ones that do usually ask ChatGPT one question, take a screenshot, and stop. That proves nothing, because the answer changes every run.
What the audit measures
20 buyer questions per category. Not "tell me about X". The questions people actually type: best tool for a specific segment, cheapest option, easiest to use, alternatives to each major competitor, and the brand questions a hesitant buyer asks last: pricing, reviews, downsides, is it legit.
Three engines. Every question runs through ChatGPT, Perplexity and Google AI Overviews in clean, logged-out sessions, so personalization doesn't skew what buyers actually see.
Every answer and every source logged. For each answer: was the company recommended, only mentioned, or absent. Who won instead. Which pages the engine cited. That last column is where most of the value is, because it shows why the answer looks the way it does.
What comes back
A report, usually around nine pages, built to be acted on:
A scorecard of all 20 questions across three engines
A competitor map: who wins each answer the company loses, and what they published to win it
Every damaging or outdated claim about the company, quoted with its source
A source analysis: the exact pages each engine reads about the category
A prioritized list of fixes, ordered by impact
What the fixes usually look like
Rarely anything technical. In most audits the company is missing because the engines read three listicles it isn't in, or because a competitor's comparison page is the only thing on the internet answering "downsides of X". The fixes are pages to publish, sources to get into, and claims to correct. Schema markup and technical tricks have close to no measurable effect on AI citations, so the audit doesn't lead with them.
Price
The audit is a fixed fee of 1,200 USD. That covers twenty buyer questions, three engines, the report and a written fix plan. If you want the fixes done rather than described, that comes next at 2,300 USD, with the audit fee already taken off, and runs three to four weeks. After that, ongoing work is 1,200 USD a month with a three month minimum, or a quarterly re-run at 1,000 USD if you'd rather check in less often. Each step is priced before it starts and you decide separately whether to take the next one.
Who it's for
Small and mid-sized B2B software companies, typically the challenger in their category rather than the leader. Companies that just repositioned or renamed. Marketing teams of one who need the gaps found and the fixes written, not another strategy deck.
How to start
Email marek@dioptera.eu with your product and category. You'll get a reply within a day with whether the category is a fit and what the audit would cover.