AI-ready data

Make your marketing data answer questions.

Archon AI turns tracking data into AI-ready BigQuery datasets for marketing agencies, so tools like Gemini and Claude can answer real questions about marketing performance.

Archon AI at a glance

Category

AI-ready datasets

Built on

Google BigQuery

Works with

Gemini, Claude, MCP tools

Best paired with

Archon Pixel

The problem

AI on raw analytics tables lies confidently.

Everyone wants AI on their data. Point a model at raw analytics tables and it produces answers that are wrong, because the data is full of PII, undocumented columns and definitions that shift between tables.

The model can’t tell a test event from a real one, or which revenue column is the agreed one. Clean, documented, PII-free data is what turns an AI answer into one you can act on.

How it works

Three steps, no mystery.

01

Model the data

Materialized datasets built from your Pixel and Signal events.

02

Strip PII, document columns

Every field defined and safe, so a model can’t misread it.

03

Point AI at it

Gemini, Claude and MCP tools query datasets designed to be queried.

What you get

Deliverables, not slideware.

Materialized, AI-ready BigQuery datasets

PII removed and documented column definitions

Consistent metric logic across every table

Ready for Gemini, Claude and MCP-based tools

The natural next step after Pixel and Signal

Answers your team can act on, not guess at

Proof

Numbers we can stand behind.

38%

of client traffic affected by tracking prevention, recovered

+26%

average uplift in measured conversions

14 hrs

saved per project

Questions

What agencies ask about it.

Can’t we just connect ChatGPT to our data?

You can, and it will answer, often incorrectly. Without documented, PII-free, consistently defined datasets, the model guesses at what your columns mean. Archon AI removes the guessing.

Do we need Archon Pixel first?

It’s the strongest foundation. AI answers are only as good as the data underneath, and Pixel gives you the complete, unsampled events that make the datasets reliable.

Is client data safe?

Datasets are PII-free by design and stay in your client’s own BigQuery project. Nothing sensitive is shipped to a model or to us.

What can it actually answer?

Real performance questions, why a channel’s POAS dropped, which segments drive lead quality, where the funnel leaks, grounded in the client’s own numbers.

The next step

See what you’re losing.

We map where conversion data goes missing across your client accounts, and show what recovering it would be worth. Not a demo, not a sales call.

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