Does declining a recommendation hurt the optimization score, and does that matter?

It lowers the score, and that is fine. The score reflects how many suggestions you have applied, not how well the account is actually performing, so a lower score from deliberate declines is not a warning sign by itself. Judge the account by its own results, not by how compliant it looks to the panel.

Are Performance Max recommendations different from search campaign ones?

The mechanism is the same even though Performance Max hands over more of the targeting itself. A budget or asset recommendation there still trades a known cost for an outcome you have not yet measured, so it earns the same scrutiny: read what it specifically changes, and judge the result over a fair window rather than the projected uplift shown up front.

Should a small account with little history treat recommendations differently?

Yes, more cautiously. A recommendation's projected impact is often modeled from accounts with far more data than a new or small one has, so the same suggestion carries more risk here simply because there is less history to catch a bad result quickly. Small accounts benefit from testing on a smaller scale before committing fully.

What is a fair way to test a recommendation instead of a flat accept or decline?

Apply it to a single campaign or a capped budget increment rather than the whole account, and hold everything else steady during the test window. That isolates the recommendation's actual effect from the account's normal week-to-week noise, so the next decision is based on your own result instead of the projection Google showed you.

When to Decline Google Ads Recommendations

Open the recommendations tab in any active account and a queue of suggestions is waiting, each with a projected uplift and a single button to apply it. The panel is genuinely useful, and it is also not neutral: it is built to close the gap between your account and Google's own idea of a well-optimized one, which is not always the same thing as a more profitable one. Reading recommendations well means treating each as a claim to test, not an instruction to follow.

What is Google's recommendations panel actually optimizing for?

Every account carries an optimization score, a percentage tied directly to how many of Google's recommendations you have applied. It is a measure of compliance with Google's own suggestions, not an independent audit of account health. Treating it as a target to maximize means optimizing for Google's idea of a good account instead of your own.

A recommendation can also be true on average across many advertisers and still wrong for the one account reading it, because it is generated from patterns across the platform, not from your margin, your capacity to fulfill more leads, or your actual profit per sale. The panel does not know any of those things. You do.

Which recommendations are usually safe to accept?

Pausing keywords with no clicks over a long, fair window.
Fixing a policy issue or a disapproved ad, since the fix recovers reach you already paid to build.
Removing a keyword that duplicates another keyword already doing the same job in the same ad group.
Repairing a broken conversion action or tracking tag.

These tighten hygiene without asking for more spend or looser targeting, so the downside if one happens to be slightly off is small.

Which recommendations deserve scrutiny before you accept?

Broad match keyword expansion, which trades a known cost for reach whose value you have not yet measured.
An automated bid strategy switch, which resets the learning your account already earned under the current one.
A budget increase, which only helps if the campaign is actually capped and actually profitable at the current spend level, not simply eligible to spend more.
Removing a negative keyword or an audience exclusion, since exclusions usually exist for a reason someone already found the hard way.

Each of these trades a sure, small cost today for a benefit that is real on average and unproven for this specific account.

How do you evaluate one recommendation before deciding?

Read exactly what it asks for. Which keywords, how much budget, which setting, in specific terms rather than the summary headline.
Ask what it costs if it turns out to be wrong. And whether that cost is easy to reverse once you see the result.
Classify it. Does it tighten something, usually safe, or expand and loosen something, worth real scrutiny?
Look for the account-specific reason it might not apply. A margin too thin to absorb more expensive reach, or fulfillment capacity a lead-volume increase would overwhelm.
Choose accept, test on a small scale, or decline. Write down the reason either way, so the next review does not relitigate the same call from scratch.

Should you treat the optimization score as a goal?

Mostly no. It is a useful prompt to review the queue, not a number worth chasing for its own sake, since raising it means applying more of Google's suggestions regardless of whether each one helps this specific account. This is the same per-recommendation judgment Programmatic CMO's Google Ads agent applies every morning: it reads the queue and rules on each suggestion on its own terms, rather than treating a higher score as success by itself.

A recommendation that would help most accounts on average can still be the wrong call for this one. A good process is one that can say no to a specific suggestion and explain why, not one that either accepts everything in the queue or ignores the panel altogether.

Judging a Google Ads recommendation, in short

The optimization score measures compliance with Google's suggestions, not your profit.
Hygiene fixes (dead keywords, broken tracking, disapproved ads) are usually safe to accept.
Expansion moves (broad match, bid switches, budget increases) deserve scrutiny first.
Judge each recommendation on its own cost, reversibility, and fit for this account.
A documented decline is a decision, not a missed optimization.

None of this argues for ignoring the panel. Some recommendations are exactly right, and the hygiene ones especially are usually free wins worth taking on sight. The judgment is in reading each one for what it specifically asks, not in a blanket policy either way. A recommended broad match expansion should meet the same bar as the guardrails for turning on broad match deliberately, and a recommendation citing a low quality score is worth reading against what that score actually measures before you act on it. For more on why a good agent proposes rather than executes blindly, see what AI marketing agents are built to do. Programmatic CMO's Google Ads agent reads the recommendations queue every morning, accepts, tests, or declines each one on its own terms, and always attaches the reason.

Google Ads recommendations: when to decline them, and when to accept