Google Ads Agent

Ten jobs in one conversation. The first line of every reply names the mode you're in, so you always know whether the agent is building, auditing, optimizing, rewriting your feed, or researching - and you switch modes just by giving it different material.

Give it a product URL and it builds campaigns from scratch. A Search build comes back as ready-to-import files: a campaign on a target-based bid strategy, ad groups, keywords chosen by what you can afford per click, three responsive search ads per ad group that each win a different click, a five-tier negative-keyword architecture, and extensions.

A Performance Max build fills every asset group completely - 15 headlines, 5 long headlines, 5 descriptions, 20 to 50 search themes - plus 20 image briefs that go deep on one angle and three to five video briefs. Demand Gen kits come per persona and angle, with the ratios Demand Gen actually accepts.

Give it a CSV export from your account and it audits instead. Performance Max gets scored across 13 modules, Search across 6 phases. It shows where money is really leaking - using a cut floor tied to your target, not a gut feel - where campaigns are cannibalizing each other, and hands you a 30-day fix list ranked by impact and effort.

Give it your product feed and it rewrites it - titles that lead with what shoppers search, standalone short titles, margin and velocity custom labels, the right 32 to 39 column schema. Or give it competitor names and it scores how crowded each angle is, then writes the positioning brief for the territory nobody has claimed.

A chat window writes copy that sounds good in isolation. This agent writes copy that survives a programmatic filter before it touches your screen.

Every headline passes the 3 Rule Copy Filter, and every build file is serialized and validated in code - character limits, headline overlap, match types, negatives, statuses - so it imports into Google Ads Editor cleanly.

It also calls real tools while the run is in progress. DataForSEO returns verified search volume, cost per click, and competition for every keyword in the output, with each number tagged as verified rather than estimated.

The page scraper reads the product context off the URL you give it. The Blue Ocean module scores competitors deterministically, so re-running the same competitor batch produces the same numbers. None of that exists in a chat window.

Search Build and Performance Max Build need a product URL. Add your average order value and gross margin: the launch target is calculated from them, because a campaign without a target spends but does not hold. Without them you still get the files, labeled with assumptions and NOT READY TO LAUNCH.

Search Audit and Performance Max Audit need campaign, ad group, keyword, search term, and responsive search ad reports exported as CSVs from the Google Ads UI under Reports, Predefined.

Shopping Feed needs a Merchant Center or Shopify product export. Three columns - id, title, and price - are enough to start; the agent builds toward the full 32-column schema from whatever you give it.

Competitor Research needs three to ten competitor URLs or names. More competitors mean more accurate saturation scoring. Keyword Research needs bare seed keywords and your niche or audience description.

Not in the public version on this page. The agent produces Editor compatible CSVs that you import yourself. You keep full control over what touches your account and what your team reviews first.

The productized version, the Google Ads AI Agentic System at $19,997, can write directly through the API. Even there, every change set lands in a review queue before anything writes to your account.

Auto deploy is opt in and scoped per asset group. Every change is logged with a reversible diff. You always see the planned change before it ships, and you can always revert.

Build runs come back as ready-to-import files, all Paused: your campaigns and ad groups, exact-match keywords, and three complete responsive search ads per ad group.

On top of that, a negative-keyword file split into five tiers - competitor brands, wrong intent, irrelevant business, semantic drift, and brand protection - plus an extensions file.

Performance Max builds add full asset groups, a 20-image brief pack, and three to five video briefs. Demand Gen kits add per-ad-group copy, image and video briefs, and the kill rule.

Audit runs come back as scored diagnostics, module by module, plus a search-term waste analysis, a cannibalization map, and a 30-day backlog with every line rated by impact and effort.

Shopping runs return rewritten feed rows - one CSV per funnel layer, titles that lead with the words shoppers search. Competitor research returns the Blue Ocean scorecard out of 100 and an angle brief that names exactly which territory is open.

Four components, each scored out of 25. Saturation measures how crowded the angle is in your competitive set. Mechanism measures how novel or proprietary your proof of how the product works actually is.

Audience measures how specific your target is, since vague segments score low. Proof measures the density and quality of validation embedded in the angle.

A score above 75 is blue ocean, ship now. Between 50 and 74 is contested, ship with a sharper hook. Below 50 is red ocean, pick a different angle.

The scoring uses fixed weights and a deterministic saturation calculation, so re-running the same competitor batch produces the same scores. That repeatability is what makes the score usable as a planning input rather than a vibe.

Yes for build modes. You provide the product URL and the constraints (average order value, margin, customer acquisition cost ceiling) and the agent builds the campaign architecture from first principles. There is no minimum spend or history requirement.

Audit modes need at least 30 days of campaign data and a search term report to produce statistically meaningful diagnostics. With less than 14 days the agent will tell you the audit is directional rather than statistically grounded, and recommend that you re-run once your data window expands.

Those tools surface optimization opportunities. You still build the campaigns, write the copy, and restructure the feed yourself. The Google Ads Agent does the building.

It produces the Editor file, the rewritten feed, the negative keyword architecture, and the counter positioning brief. The diagnostic surface is comparable. The difference is what lands in your folder when the run finishes.

It cannot connect to your Google Ads account in the public version. For direct write access, use the productized agent.

It does not build landing pages or produce video in the public version, and renders static images only when you ask. The self-hosted system ships the full landing page suite and the image and AI video production pipelines.

It does not replace a senior media buyer's judgment when you are scaling past roughly $100,000 a day in spend. At that scale you bring in human operators for the high consequence calls. The agent stays useful for everything below that line.

Paste the competitor URLs. The agent detects the mode shift, announces in plain text that it is switching to competitor research, pauses the build, runs the differentiation analysis, and uses the emotional truth extraction from the in-progress build to inform the Blue Ocean scoring.

Context carries forward across the mode shift.

When the research is done, ask the agent to resume the build with the new positioning insights baked in. You do not lose the build context, and you do not have to start a second conversation.