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Step one
Book a call
Bring the document your team rebuilds every cycle.
Step two
Free training hour
Claude set up on each person's own work, on your own systems.
Step three
Audit
A written list of what repeats and what it costs you now.
Step four
Build on your template
Your file, your systems, every figure checked before it reaches a client.
Step five
Hours back, every cycle
Ten hours became twenty minutes. An hour per client became ten.

What ai ppc tools usually give you

Most ai ppc tools surface anomalies and leave the interpretation to you. Ad reporting software does the same in prettier form: here is what happened, you work out what to do.

Keyword research with ai has the opposite problem. Plenty of new terms, no view of what the existing ones cost you.

How this ai for ppc works

  1. Every keyword and search term is pulled. Not a sample.
  2. Each is scored on outcome. Cost against results, per keyword, per match type.
  3. Waste is separated from noise. Forty clicks and no conversions is a finding. Two clicks is not.
  4. Changes are written as sentences. What to pause, what to add as a negative, where budget should move.
  5. A person decides. Every recommendation arrives as a proposal.

What makes it different

It reads the long tail

The keywords nobody reaches are where the waste hides.

Evidence thresholds

Nothing is recommended off two clicks.

It writes for a client conversation

Findings in sentences, which is what an ai ppc agency actually needs to hand over.

What you get

What it connects to

Google Ads, Microsoft Ads, Meta, Windsor.ai, Google Sheets and your client reporting deck.

Questions

  1. Does it change anything itself?

    No. Recommendations only, unless you ask for more.

  2. How much data does it need?

    Enough to be meaningful, and it says when there is not enough.

  3. Can it feed our client report?

    Yes, the same findings drive the reporting deck.

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