u/7goldagency

Most SEO teams are already tracking referrals from ChatGPT, Perplexity, Gemini and other AI surfaces.

That part is not really the issue.
The harder question is what those visits are actually worth.

Across client projects, what we’re starting to look at more closely is not just AI referral volume, but the state of the user when they arrive.

If someone clicks after seeing a brand cited or recommended inside an AI answer, they are not arriving in the same mindset as a cold organic visitor.

They may already have context.
They may already understand the problem.
They may already trust the source a little more.

So measuring AI search only through sessions feels incomplete.

The more interesting questions are:

Do those visits convert better?
Do they ask more qualified questions?
Do they move faster through the funnel?
Does the AI citation create trust before the click?

That’s where I think the measurement challenge is heading.
Not “is AI sending traffic?”
But “how much demand or trust was created before the visit happened?”

Curious how others are handling this.
Are you treating AI referrals as another traffic source, or are you starting to measure them differently?

I’ve been thinking about this a lot lately.
Across different client projects, it feels like marketing hasn’t necessarily become impossible, but the margin for vague strategies has become much smaller.

A few years ago, you could sometimes get decent results with average content, basic ads, or just being active on the right channels.

Now, with AI content everywhere, higher ad costs, and people trusting brands less, weak positioning gets exposed very quickly.

The teams that seem to keep growing are usually not doing “more marketing”. They are clearer about who they help, what problem they solve, and why someone should choose them.

Curious how others see this.

Is marketing actually getting harder, or is it just harder to hide unclear strategy now?