The console

Ask your account a question. Get an analyst’s report back.

The console is AI for Google Ads that works the way an analyst does. Ask why a campaign slipped or where your money went, and it writes its own queries against your live account, runs the numbers in Python, and answers with the point first, the figures that prove it and what to do.

Start the 7-day trial See how it gets there

Or connect one account for a free first look, no card needed: how many problems it finds, and what they cost.

Goldbeater's console for a sample account: asked what's holding a rug campaign back, it answers that cleaning searches take 44% of its spend, with a row of measures against the 30 days before and a chart of how the spend split.

A sample account, asked what's holding a campaign back: it finds the searches that aren't buying, measures them against the 30 days before, tests whether that could be luck, and drafts the negatives that stop them.

Live: Every answer is read from your account as it is today, through Google's own API, never from an export.
Checkable: Every query and every line of Python sits under the answer, so you can check the work before you act on it.
Ready to send: Save any answer as a PDF, or share it by link with a client or a colleague who has no login.
In control: The fixes it drafts wait in your change set. Nothing changes in your account until you approve it.

How it gets there

It does the work an analyst would, and shows you every step.

Each step appears as it's taken, named in plain words. Open one to see the query it wrote or the Python it ran, and check the work before you act on it.

It starts from what's known

It reads this morning's findings from 114 checks first, and what Goldbeater remembers about your account, so you don't have to explain your account again.

It writes its own queries

Your question becomes Google Ads Query Language against your live account. Each query is checked against Google's field catalog before it's sent, so one Google would refuse comes back with its fix and costs nothing.

It runs the numbers in Python

The rows land in a Python kernel with pandas, up to 50,000 a query, so it joins, totals and compares your whole account rather than the few rows a chat can read. It writes the code each question needs.

With Goldbeater's own analysis library

The tests the checks judge by are there to call, such as the chance a gap is only luck, and so are the checks themselves, run again live when your question needs them.

The steps behind a sample account's answer in Goldbeater's console: the GAQL query it wrote, the Python that sorted 60 days of searches by what each was for, and the Python that tested the result with Goldbeater's own statistics.

Every step behind that answer, down to the query it wrote and the Python it ran. The second block is the test Goldbeater's checks use.

While it works

Goldbeater's console for a sample account: an answer about wasted spend with a table of search terms, and a follow-up still running with its steps listed.

A follow-up still running on the sample account: its steps arrive as they're taken, and it keeps running if you close the tab.

What you get back

A report you can act on, and send.

The answer leads with what matters, proves it with measures, charts and tables, and ends with what to do. Keep it, save it as a PDF, or share it with someone who has no login.

An answer you can act on

It leads with the point, then draws the measures, charts and tables that prove it, and ends with what to do. A long question keeps running if you close the tab.

The fix, drafted

Where the answer is a change, it drafts it into your change set: the negative keywords, the budget, the setting. Nothing reaches Google Ads until you approve each one and apply it.

A PDF to send

Save any answer as a PDF, with your account, the date and every step, to send to a client or a colleague.

A link to share

Share a conversation by link. Whoever opens it sees the answer and its steps without signing in, never what it cost or the queries behind it, until you turn the link off.

A sample account's answer from Goldbeater's console opened from a shared link: the question, each step by its name, and the answer with its measures, as someone without a Goldbeater login sees it.

The same answer opened from a shared link, as a client sees it without signing in: the answer and each step's name, never the queries or what it cost.

A sample account's answer from Goldbeater's console saved as a PDF: its title, the account and date, the answer with its measures, chart and table, and the steps behind it.

The same answer saved as a PDF, its first page as Chrome prints it, with the account, the date and every step.

Memory and your team

Explain your account once. Your whole team can ask.

Goldbeater's Memory page for a sample account: what it knows, such as which conversions count and which campaign to leave alone, and one thing a review learned, marked for someone to look at.

What Goldbeater knows about the sample account: what its owner told it, what it found in the data, and what a review learned, marked to look at.

It remembers what matters

Goldbeater remembers what you tell it and what its reviews learn, like what counts as a conversion and which campaigns to leave alone. Your next question starts from that, not from nothing.

You see all of it

Everything it knows is listed on your account's Memory page, with where it came from. To add or correct something, tell the console; what a review learned while nobody was there is marked for you to keep or discard.

Bring your team

Everyone Google Ads lists on your account can sign in to it here, at their own access level. Invite anyone else you work with, like a colleague, a client or a consultant.

Your preferences stay yours

A preference you set for yourself, like figures in tables, shapes your own answers and nobody else's.

Beyond MCP

It goes further than an assistant connected to your Google Ads.

Google's MCP server lets an AI assistant like Claude or ChatGPT run queries on your account. The console starts there, and adds your account's findings, a place to do the arithmetic and the tests to judge it by.

	An assistant with Google's MCP server	Goldbeater's console
Writing a query	Your assistant names a resource, its fields and conditions, and Google's server makes them a query.	It writes GAQL itself, checked against Google's field catalog before it's sent.
Where the rows go	Back into your conversation, for the model to read.	Into a Python kernel with pandas, up to 50,000 a query, to join and total there.
Knowing what to look for	What you think to ask, from nothing each conversation.	This morning's findings from 114 checks on your account, and what Goldbeater remembers about it.
Telling a signal from luck	Left to the model.	The tests Goldbeater's checks use, run on your account's own data.
Making a change	None: Google's server only reads.	Drafted into your change set and applied when you approve it, each with its undo.

Already use Claude or ChatGPT?

Connect your assistant to Goldbeater’s own MCP server, and it reads what the checks found on your accounts, with the evidence and the fix. The console is where you ask Goldbeater itself.

Connect Claude or ChatGPT Read the Google Ads MCP guide

Questions

What to know before your first question.

What you can ask, what it can change, who sees what you share, and what it costs you.

What can I ask the console?

Anything your Google Ads data can answer: why a figure moved, where the money went, which searches a campaign paid for, how this month compares with the last. It reads your live account, so the answer is as of now.

Can the console change my account?

Not by itself. It drafts changes into your change set, and nothing reaches Google Ads until you approve each one and apply it. Before a change is sent, Goldbeater writes down how to undo it.

Can I use it as my Google Ads reporting tool?

Yes. Ask for the report you'd otherwise build by hand, for a client or for yourself, then save it as a PDF or share it by link. Every week Goldbeater's review writes one by itself: your last seven days against the seven before, what changed and what to do.

How is it different from asking ChatGPT or Claude about my account?

Connected to Google's MCP server, an assistant can query your account, starting from nothing each conversation. The console starts from this morning's findings and what Goldbeater remembers, works the rows in Python with the tests Goldbeater's checks use, and drafts fixes for your approval. You can also bring Goldbeater's findings into Claude or ChatGPT through its MCP server.

Connect Claude or ChatGPT

Who sees a conversation I share?

Whoever has the link, without signing in. They see the questions, the answers and each step's name, never what it cost, the queries and Python behind it, or whose workspace it is. You can turn the link off at any time.

Does asking questions cost extra?

No. Every plan includes the console, and so does the 7-day trial. The free first look shows how many problems the checks find and what they cost; questions start with the trial.

See the plans

Is my account's data used to train AI models?

No. No customer's data goes into a model provider's training set. And we never store a copy of your account: the rows a question reads stay inside the conversation that read them.

Read the security page

7-day trial · nothing charged for 7 days

Try it for a week. See the money it saves. It pays for itself.

Start the 7-day trial

Or connect one account for a free first look, no card needed: how many problems it finds, and what they cost.