Opteo watches your Google Ads accounts and streams pre-built improvement suggestions you can push live in a few seconds. AdCopilot connects your AI client straight to the account, so it can investigate anything and run the change on your command — expert work end to end, in seconds, with an approval on every write. The first model is a feed; the second is a conversation. Which one fits depends less on features than on how messy your account is.
Opteo's model: continuous recommendations with one-click apply
Opteo calls itself "the smarter way to manage your Google Ads accounts," and the shape is disciplined: it analyses performance data in the background, then surfaces suggested improvements — bids, budgets, keywords, ads — that you review and push live to Google Ads in seconds. Around the feed sit monitoring graphs, alerts (including Slack messages as changes happen) and custom branded reports for clients. It covers only Google Ads (AdCopilot also connects Google Analytics, Search Console and Tag Manager), and its pricing is public — tiers of 129, 249 and 499 USD a month plus a custom enterprise tier, scaling with the monthly spend and number of accounts under management, with a 14-day free trial.
Where the model shines is genuinely worth naming: on a stable account, a steady stream of small, reviewable, one-click improvements is a very low -friction way to keep hygiene moving. The review-then-apply mechanic is a cousin of the approval loop we argue for in why your ads agent needs an approval loop — Opteo got the human-in-the-loop part right years before agents existed.
The copilot model: ad-hoc investigation with write access
AdCopilot has no feed and no interface. It is a hosted MCP connector: paste its URL into the client you already use, sign in with Google, and the agent picks up 54 Google Ads tools (as of v2.16.0) and runs the account — reads for any question, writes for negatives, budgets, schedules, assets, pauses, and full campaign builds that arrive paused, each executed at the speed of a sentence. You stay in control: every write surfaces for approval in your client, every call lands in an audit trail, and deletion is impossible — the remove tools are never exposed, and a mutate carrying status REMOVED is refused server-side, in any letter case.
The point of the model is the unanticipated question. "Compare mobile CPA across campaigns since the landing-page change, check whether the drop is a tracking artefact, and if not, propose device bid adjustments" is not a card any library pre-built — it is Tuesday's actual problem.
Where recommendation feeds shine, and where they go stale
A feed is a library of known-knowns: patterns common enough to templatise. On a well-structured account spending steadily, most of what needs doing is a known-known, and a feed clears it efficiently. Feeds struggle when the account is unusual — inherited chaos, aggressive restructures, odd seasonality, tracking doubts — because the interesting problems are exactly the ones without a card. A conversation inverts the trade: higher effort per action (you must ask), unlimited range of what can be asked.
Coverage on real tasks
| Task | Opteo | AdCopilot |
|---|---|---|
| Routine bid/budget/keyword suggestions | Yes — its core feed, one-click apply | Yes — on request, with evidence, approval per write |
| Free-form investigation of a performance drop | Graphs and alerts help; no open-ended Q&A | Yes — live queries, reasoning in-thread |
| Building a new campaign from a brief | No — optimisation-focused | Yes — search or PMax, created paused, step by step |
| Client reporting | Branded report builder | Narrative summaries drafted in-chat |
| Monitoring and alerts | Yes — including Slack | No — prompt-driven, no scheduler |
| Works inside Claude / ChatGPT | No — own web app | Yes — any MCP client |
| Deletion | Changes within its scope, applied from the feed | Cannot delete — remove tools absent, REMOVED refused server-side |
| Pricing | Public: 129–499 USD a month by managed spend, custom above; 14-day trial | Free 7-day trial for a new workspace, then a flat monthly or yearly subscription — published pricing |
Pricing and account-size fit, verified at publish
Opteo's spend-tiered pricing means cost rises with the books you manage — transparent and fair, and worth modelling if you are an agency with heavy accounts. AdCopilot's trial is free for seven days on the full Pro plan for a new workspace, no card; after that it drops automatically to the Free plan (one account), and published tiers apply only once you choose to upgrade — so procurement can read both pricing tables today.
Choosing by account messiness, not feature count
Choose Opteo if your accounts are stable, your work is mostly hygiene, and a review-and-click feed with monitoring and client reports covers the week. It is a polished version of exactly that.
Choose AdCopilot if your accounts generate questions a card library cannot anticipate, if you want builds and fixes to happen in the same thread as the diagnosis, and if you want the agent inside the chat window you already live in — with a hard guarantee that the worst approved action is a change the account itself can put back — a pause, a budget, a bid, a keyword — never a deletion.
Both trials are free and short. Run Opteo's feed and AdCopilot's trial over the same fortnight on the same account, and count which one closed more of the things you actually cared about.