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MarqOps
AI in Ad Ops · Available now

AI ad operations software for Google Ads teams

Connect Google Ads, diagnose account risk, analyze search terms, model budget decisions, and keep every approved action tied to the evidence behind it.

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See the signal before you change the campaign

MarqOps brings account diagnostics, campaign metrics, and reviewed next actions into one Google Ads operating view.

Live workflows

What AI in ad operations should actually help you do

The useful job is not generating more recommendations. It is reducing the time from a noisy account signal to a reviewed, explainable decision.

Account health audit

Review campaign structure, tracking coverage, wasted spend signals, and account-level risks before changing bids or budgets.

Anomaly detection

Surface unusual movement across spend, clicks, conversions, and conversion value, then preserve the finding in an activity history.

Search-term intelligence

Cluster search terms into intent themes, find irrelevant traffic, and turn the evidence into reviewed negative-keyword actions.

Negative-keyword conflicts

Detect negatives that can block valuable queries and distinguish exact, phrase, and broad-match conflicts before applying changes.

Forecasts and budget simulation

Model conservative spend scenarios from account history and compare projected clicks, conversions, and conversion value.

Governed rules

Create scoped rules, review recommendations, keep dry-run behavior where appropriate, and record automated activity for auditability.

PMax and RSA asset signals

Inspect campaign and asset-group performance alongside Quality Score trends and auction-level competitive signals.

SEO and PPC coordination

Find organic queries worth supporting with paid media and spot paid traffic that overlaps with strong organic visibility.

Operating model

Automation with an audit trail

MarqOps keeps diagnosis, review, and execution distinct so teams can move faster without losing account scope or change history.

  1. 01

    Connect

    Authorize Google Ads and select the client account you intend to review.

  2. 02

    Diagnose

    Audit health, inspect anomalies, and group search-term or asset signals by decision.

  3. 03

    Review

    Validate the evidence, scope the affected campaigns, and choose the action deliberately.

  4. 04

    Record

    Keep an activity trail so operators and clients can see what changed and why.

Primary Google Ads sources

The page's terminology and platform constraints are grounded in first-party Google Ads documentation.

Frequently asked questions

What does AI in ad operations actually do?
AI in ad operations helps teams detect unusual performance, group search terms, summarize account risks, compare scenarios, and prioritize actions. It should support operator judgment rather than hide campaign changes behind an unreviewed black box.
Does MarqOps connect to Google Ads?
Yes. MarqOps uses Google authorization to load the selected account's campaigns and supporting signals into an operator workspace. Available actions remain scoped to the connected client and are recorded in the activity history.
Can MarqOps analyze Performance Max campaigns?
Yes. MarqOps surfaces Performance Max campaign and asset-group signals, including available asset performance and coverage data, alongside broader account diagnostics.
How is this different from Google Ads recommendations?
Google Ads recommendations are an important source signal. MarqOps places recommendations beside account audits, search-term analysis, forecasts, SEO data, and an activity log so an operator can review the wider context before acting.

Make the next Google Ads decision explainable

Connect one account, review the evidence, and turn the approved work into a client-ready update.

Start a 7-day trial