Should You Trust Google Ads Auto Apply Recommendations

If you have spent any time inside a Google Ads account, you will have noticed the Recommendations tab sitting there, often with a bold notification badge telling you that your optimisation score could be improved. Google makes it very easy to action these suggestions, and in some cases, you can even switch on Auto Apply, which allows Google to implement changes to your campaigns automatically without you needing to lift a finger. On the surface, this sounds like a genuinely helpful feature. The reality, however, is a little more complicated, and whether you should trust Google Ads Auto Apply Recommendations depends very much on understanding what these recommendations are actually trying to achieve and who they are designed to benefit.

What Are Auto Apply Recommendations?

Auto Apply Recommendations is a feature within Google Ads that allows the platform to automatically make changes to your campaigns based on what its algorithm believes will improve performance. These can range from adding new keywords and adjusting bids, through to expanding match types, adding responsive search ad variations, and enabling broader targeting settings. Google frames these recommendations as performance improvements, and your optimisation score, a percentage shown in the Recommendations tab, goes up each time you apply them.

The important thing to understand here is that Google's definition of improved performance and your definition of improved performance may not always align. Google is an advertising platform, and its algorithm is built to maximise activity across its network. More clicks, more impressions, and more spend are all things that can technically improve certain metrics whilst simultaneously eating through your budget without delivering the outcomes that actually matter to your business.

The Optimisation Score Is Not a Reflection of Account Health

One of the most misleading aspects of the Recommendations tab is the optimisation score itself. Many advertisers, particularly those who are newer to the platform, see a score of 60% or 70% and assume their account is underperforming or poorly managed. This is not necessarily the case. The optimisation score is calculated based on how many of Google's recommendations you have applied, not on how well your campaigns are actually achieving your business goals.

A well-managed account with tightly controlled keywords, carefully structured ad groups, and a conservative budget might have a lower optimisation score precisely because the advertiser has made deliberate decisions to decline certain recommendations. Dismissing recommendations that are not relevant to your strategy is perfectly valid, and doing so does not make your account poorly optimised in any meaningful sense. The key takeaway: treat the optimisation score as one data point amongst many, not as a definitive measure of account quality.

Where Auto Apply Recommendations Can Cause Real Damage

There are certain categories of recommendation where allowing Google to auto-apply changes can create genuine problems for your campaigns. Broad match keyword expansion is one of the most commonly flagged issues. If you have built a campaign around exact match or phrase match keywords for good reason, having Google automatically add broad match variants can dramatically widen your traffic to include searches that are entirely irrelevant to your offering. Your budget gets diluted, your click-through rates drop, and your cost per conversion increases.

Automated bid strategy changes are another area to approach with real caution. Google may recommend switching from a manual CPC strategy to a Target CPA or Target ROAS automated bid strategy, and whilst these can work well when your account has sufficient conversion data, applying them too early or without the right conversion volume in place can cause your campaigns to go through a prolonged and expensive learning phase with poor results during that period.

Similarly, recommendations to add new keywords, particularly when pulled from the search terms of other advertisers or broader query patterns, can introduce terms that sit outside your intended targeting. Without reviewing these individually, you have very little control over where your budget ends up being spent.

The Recommendations That Are Worth Paying Attention To

It would be unfair to suggest that every recommendation Google makes is misaligned with your interests. Some suggestions are genuinely useful, particularly those relating to ad strength improvements, adding missing ad extensions such as sitelinks or callouts, fixing disapproved ads, or addressing billing issues. These are more administrative in nature and carry a lower risk of unintended consequences if acted upon.

Recommendations around fixing conversion tracking issues, reviewing low-performing ads, or updating outdated landing page URLs are also worth taking seriously. The value of a recommendation tends to be higher when it is flagging something that is broken or missing, rather than encouraging you to spend more or expand your targeting. A sensible approach: review each recommendation on its own merits and ask yourself whether it aligns with your campaign objectives before applying anything.

How to Manage Recommendations Without Losing Control

The most important step you can take is to turn off Auto Apply altogether unless you are absolutely confident in the specific recommendation categories being automated. You can find the Auto Apply settings within the Recommendations tab in your Google Ads account. From there, you can review which categories are switched on and disable any that could have a material impact on your targeting, bidding, or budget.

If you work with a Google Ads agency or a certified professional, it is worth having a direct conversation with them about how they handle recommendations within your account. A good agency will review these manually, apply the ones that serve your goals, and dismiss the ones that do not, rather than bulk applying everything to chase a higher optimisation score. Google's own support documentation outlines which recommendation types can be auto-applied and gives you the ability to manage them individually, which is worth bookmarking as a reference.

The Bigger Picture

Google Ads is an incredibly powerful advertising platform, and the recommendations it surfaces are not made in bad faith. The algorithm is genuinely trying to identify opportunities to improve performance as it understands it. The issue is that the algorithm does not have full visibility of your business model, your margins, your customer lifetime value, or the strategic reasons behind the decisions you have made in your account. Only you, or the team managing your campaigns, can weigh up those factors properly.

Trusting Google Ads Auto Apply Recommendations wholesale is a risk that many advertisers have come to regret after noticing their spend increase and their results decline. The smarter approach is to treat the Recommendations tab as a starting point for a conversation about your account, not as a to-do list to action without question. Review regularly, apply selectively, and always keep your actual business goals at the centre of every decision you make within the platform.