July 20, 2025 · 7 min read
How to run a landing-page audit with AI
Generative models quickly highlight obvious and hidden UX issues — if you feed them the right context. Here are the scenarios we rely on inside the studio to review layouts or live pages without bias.
Key takeaways
Prepare the assets
Collect screenshots of the key screens, a link to the page and a short audience profile. The more precise the input, the better the output.
Tune the prompt
Ask the model to act as a buyer from your target segment, describe their goals and pain points. This keeps the feedback anchored in reality.
Validate with analytics
Compare the AI notes with GA4/Yandex.Metrica data: drop-off points, CTA clicks, scroll depth.
Plan the fixes
Merge AI findings and team ideas into one list, tag quick wins (under 2 hours), medium tasks and A/B test hypotheses.
Prepare the assets
Collect screenshots of the key screens, a link to the page and a short audience profile. The more precise the input, the better the output.
Add factual numbers: price, delivery time, guarantee. AI spots inconsistencies faster when it sees concrete data.
Tune the prompt
Ask the model to act as a buyer from your target segment, describe their goals and pain points. This keeps the feedback anchored in reality.
Give a response template such as “block → issue → improvement idea”. Structured output is easy to paste into a task tracker.
Validate with analytics
Compare the AI notes with GA4/Yandex.Metrica data: drop-off points, CTA clicks, scroll depth.
If insights clash, refine the prompt and add extra facts — for example, the top questions support agents receive.
Plan the fixes
Merge AI findings and team ideas into one list, tag quick wins (under 2 hours), medium tasks and A/B test hypotheses.
Document every change in Notion: screenshot “before”, screenshot “after”, goal and expected lift. It helps defend the solution in front of stakeholders.
Case: evening refresh, morning lift
For a micro-loan service we reviewed three critical screens, received 14 actionable comments and, in one session, rewired the offer highlights and CTAs.
After launch the conversion rate grew by 18% because the value block and social proof moved higher — an insight the model flagged first.
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