Growth & marketing leads

AI mentions are up.
Now defend the budget.

Your leadership needs more than a visibility score. Connect a clear hypothesis, shipped work, and observable channel signals.

Pixel illustration of the growth & marketing leads workflow
What evidence makes AI worth our next growth sprint?
Sound familiar?01Visibility numbers lack business context.02AI work competes with funded channels.03The team cannot see which fix mattered.

How we solve this

Bring AI into a real channel review.

01 — THE WORKFLOW
A working example
Channel reviewEvidence in context
Observed signalContent published
Answer visibilityAI-referred visitsIllustrative · not customer results
01HypothesisOne buyer question group
02Shipped workA recorded content change
03Observed signalsVisibility + traffic + context
Channel hypothesisScoped baseline
Illustrative workflow · coverage varies.

Built for the moments that matter

Start with a
real business question.

The question

“Which AI opportunity fits this sprint?”

Scope a question set and a concrete piece of work.

What you take away

Something your team
can work with.

02 — THE OUTPUT
01

A measurable hypothesis

02

Action & content records

03

Channel review evidence

A clearer investment conversation, grounded in evidence.

A few useful answers

Before you start.

Is a visibility lift proof of revenue impact?

No. Mentions and citations describe AI answers. Referral traffic and conversions describe behavior. Review them separately and establish causality through a suitable experiment.

Can we use existing analytics?

Google Analytics can provide AI-source visits when those sources are recorded. Shopify adds available order-source records for connected stores.

Can Citable replace our attribution stack?

Treat it as additional AI-channel evidence. It does not replace every attribution method, CRM workflow, or experiment your team uses.

Your next move

Review your AI channel.

Talk to the teamSee pricing