# How the agent finds opportunities in your traffic

> Instead of checking your site against a best-practice list, the agent compares it with itself and looks for groups of visitors who behave differently from your own baseline.

- Source: https://bixlow.com/en/blog/how-the-agent-finds-opportunities
- Language: en
- Published: 2026-10-29T09:00:00.000Z
- Updated: 2026-10-06T09:28:18.400Z
- Author: fernando
- Topics: CRO agent, audience targeting, AI-first experimentation, experiment metrics, CRO, statistical significance, new brands
- Publisher: Bixlow

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Most automated site audits run through a checklist. Is the CTA above the fold? Are there trust badges? Is the form short? What comes out is a list of generic recommendations that would read the same for your competitor.

The weakness is that best practices are averages taken from websites that aren't yours. A different method works much better, and it consists of comparing your site with itself.

## Looking for divergence

So instead of asking whether a page follows best practice, the agent asks which group of visitors behaves unlike the rest, and on which page.

Say your product pages convert at 2.4% overall, and mobile visitors from paid social convert at 1.1%. That gap is a fact about your business, and it points somewhere specific. Either those visitors arrive with less intent, or something in the mobile experience lets them down, or the ad promised something the page doesn't deliver. You can test all three, and none of them would ever show up on a best-practice checklist.

## What gets compared

The agent runs the same comparison across every dimension it has available:

- device and viewport class
- new versus returning, using the window you've configured
- country and region
- traffic source, medium and campaign
- landing page and entry point
- any custom events you've instrumented

For each segment on each page with enough volume, it compares the conversion and engagement profile with the page's baseline and flags the places where the difference is too large to be chance.

That last condition carries most of the weight. Six dimensions across a dozen pages means hundreds of comparisons, and at that scale a naive approach reports dozens of "findings" that are pure noise. The threshold has to take into account how many comparisons are being made. It's the same multiple-comparisons care you'd apply when reading segment results by hand, applied systematically.

## Fewer findings for a small brand, and better ones

On a site with 200 sessions a day, most segments are too small for any comparison to mean anything, so the agent will come back with two or three things rather than forty.

That's the right behaviour, and we'd rather say so up front, because a tool that returns forty findings on thin data is handing you forty coin flips. For a small brand the useful output is a short list, often with a suggestion to instrument a leading-indicator event so there's something frequent enough to compare.

## From a gap to a test

A gap still needs a hypothesis. "Paid mobile visitors convert 50% below baseline" could have many causes, and the agent proposes the mechanism it can back with evidence.

If scroll data shows those visitors rarely reach the CTA, the problem is exposure and the proposal is structural: move the CTA, or make it persistent. If they reach it and don't act, the problem is persuasion or a mismatch, and the proposal deals with what the page says compared with what the ad promised. If they bounce within seconds, it's probably load time, or a mismatch so glaring it's visible straight away.

At this point the agent is doing more than a report would. It tells you what it thinks is happening and how you could find out, which is a lot more useful than being told that a number is low.

## When to overrule it

The agent sees behaviour but not intent, and there are cases where you should overrule it.

If you buy cheap awareness traffic knowing it converts badly, a flag on that segment is expected and there's nothing to act on. A segment that diverged during a sale week may be perfectly normal the rest of the year. And some of your traffic isn't customers at all (job applicants, existing customers looking for support, competitors); they diverge, and none of it matters.

This is the business judgement that stays with a person. The agent brings you the pattern, and you supply the context that says whether it's a problem.

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## Meet our AI CRO agent

What you just read, put to work by an agent: it understands your visitors, decides what to test or personalize, builds it on your site without a developer and tells you when a result is real.

https://bixlow.com/en/ai-cro-agent