AI Conversion Suggestions

Last updated: 2026-03-27
AI Conversion Suggestions analyze your landing page HTML alongside real performance data (views, conversions, conversion rate) and generate 3–5 specific, actionable improvements every week. Each suggestion includes a short title, detailed explanation, priority level (High/Medium/Low), and the target section of the page. Apply a suggestion instantly as a new A/B variant, or dismiss it.

How to use it

  1. Wait for the first suggestions

    Suggestions are generated automatically once your page reaches 200 views. The weekly job runs every Monday and checks all eligible paid-plan pages.

  2. Open the Suggestions panel

    On the landing page detail, click the 'AI Suggestions' card. Pending suggestions are listed with their priority badge (High / Medium / Low) and target section.

  3. Apply a suggestion

    Click 'Apply as Variant' on any suggestion. Axerto creates a new A/B variant with the suggestion text as the AI edit instruction — the variant is generated automatically and added to your A/B test.

  4. Dismiss a suggestion

    Click 'Dismiss' to remove a suggestion from the list. Dismissed suggestions are stored for reference but no longer shown in the active list.

Frequently asked questions

How does the AI decide what to suggest?
The AI receives your full page HTML plus aggregate conversion data. It uses threshold-based logic: below 2% conversion rate means fundamental fixes are needed; 2–5% means optimization; above 5% means incremental improvements. Suggestions target the specific page section most likely to move the needle.
Is this available on all plans?
AI Conversion Suggestions are available on paid plans only. Free trial users see a placeholder with an upgrade prompt.
How many suggestions are generated?
3 to 5 per page per week. The task processes a maximum of 20 pages per run for cost control.
What if I apply a suggestion but it performs worse?
The applied suggestion creates a new A/B variant, not a replacement. Your original page keeps running and receiving traffic. The A/B test results will show which performs better.

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