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Google Ads AI and automation: GAQL, BigQuery and campaign structure

Vexio works on Google Ads end to end. For Google Ads AI and automation, that means designing campaign, ad group and asset group structure, writing the GAQL queries behind your reporting, loading the results into BigQuery or PostgreSQL, and building agents that draft changes for your approval. Optimisation support is part of the work.

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The work

What Vexio covers in Google Ads.

Five areas. What your case needs is settled in a scoping conversation. No volumes, client names or results are published here.

  • Account structure and campaign build

    Account, campaign and ad group layout, keyword lists and Performance Max asset groups, prepared from spreadsheets and checked before they go live.

  • Data pipelines and reporting

    GAQL queries for the reports you need, loaded on a schedule into BigQuery or PostgreSQL in your account.

    Advertising data pipelines →

  • Automation

    Scripts and scheduled jobs for routine account work, such as budget checks and search term reviews.

  • Agents and MCP

    An agent that reads performance through MCP tools and drafts changes. A person approves each one.

    AI agents →

  • Ongoing optimisation support

    Review of results with your team and help acting on them, agreed per engagement.

The platform

How a Google Ads account is laid out.

Google Ads is Google's advertising platform. It covers search, shopping, display and video campaigns, including automated campaign types such as Performance Max.

In the platform's own terms

  • An account holds campaigns. A campaign holds ad groups, or asset groups in Performance Max. Ad groups hold keywords and ads.
  • Bids, budgets and targeting sit at campaign or ad group level, depending on the campaign type.
  • The Google Ads API is queried with GAQL, a SQL-like language that selects fields from resources such as campaign, ad_group and search_term_view.
  • Google also offers Google Ads Editor, a free desktop app, and spreadsheet-based bulk uploads.

Official reference: Google Ads API documentation.

The problem

When Google Ads work outgrows the interface.

Agencies and ecommerce teams run many accounts, ad groups and keyword lists. Creating them one at a time in the interface does not scale, so structure gets prepared in a spreadsheet. Reporting has the same problem: numbers that stay inside Google Ads cannot be joined to your sales, so they move to a warehouse.

Google Ads data in BigQuery.

Google offers a BigQuery transfer service, and the Google Ads API is the alternative when you need specific fields, history or control over timing. We help you choose, then build the pipeline: GAQL queries on a schedule, clean tables and loads into BigQuery or PostgreSQL in your account. Each pipeline is built per engagement. See advertising data pipelines (ETL) and the article Google Ads to BigQuery: transfer service, API or connector?.

What we do

What Vexio does on Google Ads.

Structure and reporting come first, then automation. Related: AI agents and the campaign builder for bulk campaign upload.

  • Design and build accounts, campaigns, ad groups and keyword lists from spreadsheets, checked row by row before they go live.
  • Write the GAQL queries for your reporting and load the results into BigQuery or PostgreSQL.
  • Automate routine account checks with scripts and scheduled jobs.
  • Build agents and MCP tools that draft changes for your approval, and support optimisation over time.
FAQ

Questions on Google Ads AI.

Yes. We choose between Google's BigQuery transfer service and a Google Ads API pipeline based on the fields, history and timing you need. Then we build it: GAQL queries on a schedule, clean tables and loads into BigQuery in your account. See Google Ads to BigQuery options.

GAQL is the Google Ads Query Language. It reads like SQL and selects fields from Google Ads resources such as campaigns, ad groups and search terms. It is how the Google Ads API returns reporting data. Vexio writes the queries behind your reports and loads the results into your warehouse.

Google Ads Editor is free and right for many single-account edits. Vexio helps when you need row-by-row checks on large files, repeatable builds across accounts or API-driven work. See Google Ads Editor vs bulk upload vs API for the trade-offs.

Google Ads has its own automated bidding and campaign types such as Performance Max. Vexio adds agents on top: they read your account data, draft changes and wait for a person to approve them. Nothing is published without that step. See AI agents.

No. Google Ads is a trademark of its owner and appears here as text only. Vexio is an independent company and is not affiliated with, endorsed by or certified by that owner. Its terms apply when you use its services.

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Tell us what your Google Ads accounts need.

Say how many accounts you run, what reporting you lack and what takes the most manual effort. We reply by email with how we would approach it.

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