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.

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Archon AI at a glance

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.

The same question asked of an AI tool twice, on the same rows. On the left the table is undocumented, with cryptic column names and a customer email column the model can read, and the answer names one channel as the top earner. On the right the same table is documented and the answer names a different channel. Neither answer carries a warning or a source.

How it works

Three steps, no mystery.

Model the data

Materialized datasets built from your Pixel and Signal events.

Strip PII, document columns

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

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

One dataset before and after. On the left, columns with names like param_1 and utm_x, none of them described, and two fields holding personal data with no policy attached. On the right, the same columns named in business terms with a one-line definition each, and the personal data fields removed as not needed to answer the question.

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 unsampled first-party events, which is the difference between a dataset a tool can reason over and one it cannot.

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.

What it does not do.

It does not make an AI tool right about a business it knows nothing about. It removes the reasons it is confidently wrong about your data.

It does not hand raw customer data to a model. Personal data is found and removed before anything is exposed.

It does not remove the analyst. It removes the translation step between a question and an answer.

It is only ever as good as the collection underneath it. A documented dataset built on a partial feed is a well-labelled partial feed.

The thinking behind it.

How do you get client data ready for AI?

Cleaning the export is the last step, not the first. The five things that change in a client dataset, in the order that works.

July 31, 2026

Is there personal data hiding in your analytics?

An email address in a URL, a phone number in a site search term. How personal data reaches analytics, and what it costs you.

July 31, 2026

Can AI write your client reports?

AI drafts the commentary in seconds. What it cannot do is notice that the number it is explaining was never right.

July 31, 2026

Can ChatGPT actually analyze your marketing data?

It runs real code on your file, so the arithmetic is right. What a GA4 export left out before the upload is the actual limit.

July 30, 2026

Terms that come up in this work

AI-ready data

Conversational analytics

Where teams go next.

First-party analytics

Archon Pixel

First-party analytics straight to BigQuery.

Explore Archon Pixel →

Monitoring

Archon Alert

Know when your tracking breaks, before the client does.

Explore Archon Alert →

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.

Request a free audit →