Struggling With AI Max? Fix Campaign Blind Spots

So, just before the previous year rolled to an end, and the holiday cheer was slowly setting in, one afternoon, we turned up the blinds and settled down with an extra-large mug of hot chocolate (yes, with the roasted marshmallows!).

We were looking at a Google Ads Search campaign report that somehow didn’t sit right with our sensibilities.

We could see conversions where we didn’t place exact-match keywords, headlines showing up that my team swore they didn’t come up with, and some landing pages bringing in traffic even when no ad group had ever pointed to them!

Then, lo & behold, at the bottom of the search terms report, we noticed a new match type, labeled “AI Max”.

Intrigued, we leaned in, deep…

What at first glance felt like Google helping out revealed a multitude of layers beneath.

This was not some automation fantasy at play. You know the kinds we often hear about at marketing events (yes, the ones with the complimentary beverage and snacks), but something a lot more complex, more human, and, frankly, more real.

Today, Amit Roy, our in-house paid search ninja, will take the reins and help you decode how AI Max really works with your existing keywords, the good, the odd, and the head-scratching, delivered in a way that doesn’t leave you guessing!

First things first, what is AI Max?!

Well, for starters, it’s imperative that we clear up any confusion. AI Max is NOT a brand-new campaign type in Google Ads; instead, it’s an optimization layer that one can enable within an existing Search campaign.

In simple terms, it doesn’t create a new campaign type the way Performance Max (PMax) does.

Instead, it injects smarter matching, dynamic creative adjustments, advanced landing page logic, and deeper reporting into the campaigns that you already run.

So, what actually happens when you enable AI Max?

Let’s delve into the four major benefits, one by one.

Search term matching that goes beyond your keyword list

Instead of only matching the exact, phrase, or broad terms you listed, AI Max augments them using broader signals.

Google’s official API docs show that AI Max uses a blend of your existing keywords, landing page content, ad creative, and historical performance data to find relevant queries your campaign wasn’t explicitly targeting.

This isn’t pure guesswork; instead, it’s grounded in Google’s AI learning from patterns, not just words.

2. Creative asset generation in real-time

Honestly, AI Max doesn’t just find new search terms; it also reshuffles your ad text on the fly.

This feature, sometimes called text customization, pairs your existing Responsive Search Ad (RSA) assets with page content to tailor headlines and descriptions to what the user is likely looking for.

3. Landing pages may shift automatically

This one throws people off the first time it happens.

With final URL expansion, AI Max may send users to a page on your site Google thinks is a better match for a given query, even if it’s not the exact landing page you originally assigned in that ad group.

That means your campaign isn’t locked to predetermined funnels anymore. The machine will pick what it believes converts best.

While it can be helpful, it can also be confusing if you’re the kind of marketer who likes knowing exactly where every click lands.

4. You actually see AI Max in Reporting

So, in simple terms, this could be one of the nicest practical changes.

Instead of AI influence quietly hiding inside broad matches or cannibalizing other match types, Google now shows AI Max as its own “match type” in the Search Terms Report.

That means you can filter and compare how much traffic, conversions, and ROAS come from AI-matched queries versus other match types.

An insight into early advertiser results

Let’s talk performance, because in the end, that’s what moves budgets.

~ On average, advertisers see ~14% more conversions or conversion value at similar CPA or ROAS.

~ For campaigns that were heavily reliant on exact or phrase match keywords (i.e., less aggressive match extensions before), the uplift can go up to ~27%.

We will now explore some real-world instances for a deeper understanding;

~ A global beauty brand reportedly doubled conversion rate and cut cost-per-conversion by 31% using AI Max by unlocking net-new queries like “best cream for facial dark spots.”

~ A service-oriented business (lead gen) saw 16% more leads, with 13% lower cost per action; ~30% of those conversions came from queries that their previous (non-AI) setup likely would have missed.

In summary, these early wins make a strong case for AI Max, especially for advertisers with limited keyword coverage or stiff competition for keyword-level bids.

Add to that the fact that AI Max requires no minimum conversion volume to be effective, so even small/low-volume accounts can potentially benefit.

When Reporting becomes the twist in the plot!

The irony of AI Max is that the clearer the reporting becomes, the fuzzier reality feels.

Once that new AI match type shows up in your Search Terms Report, you begin to see what the system is really doing.

That’s when the queries start pouring in, is my exact match still exact?, why is spend drifting into terms I never asked for? And did AI Max really “discover” this traffic, or would my keyword have caught it anyway?

You notice that your beautiful keyword structure suddenly reads more like a suggestion than a directive.

Even worse, you realize that Google is doing something that feels uncomfortable but logical.

If you don’t supply a broad match version of a keyword, AI Max treats your existing keyword like one anyway.

So the same keyword line starts mixing performance from exact logic, expanded phrases, improvised broad matches, and pure AI-matched intent.

Which means the old-school marketer in you is quietly screaming, “I can’t evaluate what’s performing anymore.”

And that’s just the beginning.

Some queries AI Max matches on don’t map back to any keyword in your account.

They’re landed through ad copy and page content analysis, what folks are calling “keywordless” matching.

When those convert, great, and when they don’t, you’re left trying to diagnose a problem without the original trigger in view.

Also, cannibalization tends to creep in, too.

High-performing exact-match terms may suddenly see their budget siphoned into exploratory territory.

This is when spent fragments and CPAs wobble.

It’s not sabotage, it’s simply the system chasing incremental volume unless you force it not to.

How can performance marketers cater to these risks/challenges?

Well, this is what you need to do in order to enjoy a smooth experience.

~ Add high-performing (exact/phrase) keywords also as broad-match variants so you can control & track them properly.

~ Implement robust negative keyword lists, especially to block unwanted brand or competitor traffic, since AI Max matching can surface misspellings or loosely related variants.

~ Keep top-performing search terms reinforced as exact-match keywords to prevent them from being “lost” under AI Max.

~ Continuously monitor both search terms and landing-page performance.

Also, how does AI Max work with my existing keywords?

Well, if you don’t have a broad match version of a keyword, then AI Max treats your existing keywords as both their original match type and as broad match.

Google needs to assign impressions, clicks, cost, etc, to your keywords each time they trigger an impression. If you don’t have the broad match keyword, Google typically assigns the AI Max data to a phrase or exact match. This creates two challenges:

~ When your keywords have data from multiple match types, you can no longer evaluate how each match type is performing.

~ AI Max data can be misleading. AI Max expanded matches may include traffic you were already receiving from your exact and phrase keywords.

Recommendations on using AI Max the right way!

Here’s a quick approach you can implement:

~ Identify under-served campaigns (low keyword coverage, many relevant long-tail queries, or broad-intent funnel stages).

~ Duplicate those campaigns into a “test/expansion” version, and enable AI Max only in those test versions. It’s recommended to keep the original as a control (without AI Max).

~ Ensure conversion tracking and Smart Bidding are properly configured.

~ Immediately create a robust negative-keyword list (replete with brand, competitor, irrelevant variants) to avoid waste.

~ After 2–4 weeks, export search-term data, de-duplicate overlap, and analyze incremental conversions, quality (lead quality or LTV), new vs. old queries, cost per conversion, and ROAS.

~ For top-performing AI-matched queries, add them as exact-match keywords in your core campaigns, thereby gradually converting successful traffic from AI Max to controlled, predictable campaigns.

~ For underperforming queries, either mark them negative or exclude via brand/URL rules, or adapt landing pages/ad copy.

Additional observations and strategic guidance from the experts at Mavlers

As someone with 14+ years of experience working with Google Ads and search campaign optimization, here are some additional strategic takeaways beyond the official documentation.

Considering AI Max a “keyword discovery & dynamic ads” engine, instead of a replacement for keyword strategy

AI Max can be a great help when you’re under-resourced on keyword research or when you want to explore long-tail, emerging, or niche queries without manual keyword expansion.

But it’s best to treat it as a discovery channel rather than a substitute for building a disciplined keyword structure.

2. Deploy AI Max selectively for “expansion” campaigns, not core high-volume campaigns.

For high-value campaigns (e.g., brand keywords, high-intent purchase keywords), I recommend keeping AI Max off (or tightly controlled), because you often want maximum predictability and control there. Instead, enable AI Max on separate campaigns/ad groups intended for “exploratory” reach, long-tail keywords, or broader demand generation.

3. Prioritize Smart Bidding & conversion tracking before activating AI Max

As per the docs, AI Max’s matching and optimization rely heavily on Smart Bidding and conversion-based strategies. Without a reliable conversion signal, you risk AI matching to low-quality queries, hurting ROI.

4. Iterative optimization is key; therefore, expect to prune, refine, and re-add negatives continuously

Because AI Max surfaces many new queries (some valuable, many not), you’ll need to have a process in place to review search term reports, prune irrelevant ones, and reinforce high-performers as exact-match keywords. This makes search-term hygiene more critical than ever.

5. Use AI Max as part of a diversified channel mix and combine with Performance Max, Display, and other strategies.

AI Max doesn’t restrict you exclusively to one campaign type. If used intelligently, it can complement other channels (for instance, remarketing and Performance Max), thereby increasing incremental reach while preserving keyword-level control.