I ran AI Max for two weeks against a manual campaign. The lead-quality delta.

Quick Take

I ran a 14-day head-to-head on one client account: AI Max with Search Term Matching turned on in one campaign, manual control with the same budget and creative in the other. AI Max produced 41% more form fills. It also produced 73% fewer qualified leads. The volume looked great in the dashboard. The sales team had to filter through twice as much noise to find the same number of real prospects. Test it. Don’t trust it without a sales-team feedback loop in place.

The setup

The account: a service-business client, $5K/mo Google Ads, lead-generation focused, a CRM that tracks both raw form fills and the “qualified lead” call disposition the sales team logs after a 5-minute discovery call. I had two months of clean baseline data on what “qualified” meant for this vertical before the test started.

The two campaigns:

• Control campaign: manual phrase and exact match, proven keyword set, my standard negative-keyword list, conversion bidding (tCPA at $87).
• Test campaign: AI Max enabled, Search Term Matching on, broad match expansion on, auto-generated headlines, same tCPA, same creative.

Same daily budget split. Same landing pages. Same conversion action wired the same way. The only variable was whether AI Max was on.

What AI Max actually does

When you flip AI Max on, you unlock a bundle of automations at once:

• Broad match expansion across the existing keyword set
• Search Term Matching that pulls signals from the landing page and matches queries against page content rather than the keyword list
• Auto-generated ad headlines and final URLs Google assembles from the assets
• Reduced visibility into which actual queries triggered the impression

Google’s published numbers for this bundle: up to 14% more conversions at a similar CPA, or up to 27% if the existing account is mostly exact/phrase. The pitch is that the AI learns from your best pages and lets you stop pruning the keyword list manually.

The two-week deltas

After 14 days, same budget, same creative, same landing pages:

Metric	Control	AI Max	Delta
Impressions	21,400	38,200	+78%
Clicks	642	1,107	+72%
CPC	$3.89	$2.26	-42%
Form fills (raw conversions)	32	45	+41%
Qualified leads (CRM-marked)	14	8	-43%
Qualified-lead rate	44% of fills	18% of fills	-59%
Cost per qualified lead	$178	$313	+76%

The dashboard in Google Ads looked great. More impressions, more clicks, cheaper CPC, more form fills. The CRM told a different story.

Where the extra volume came from

I had reduced visibility on the AI Max side, but the search terms that did show up clustered around top-of-funnel and educational queries the keyword list would never have matched: “how does X work,” “is Y worth it,” “free Z template.” Page content was pulling in researchers, not buyers.

The form fills from those queries showed the same pattern: shorter discovery calls, less prepared, more “just looking” responses. The 45 form fills the test campaign delivered were not 45 versions of the 32 the control delivered. They were 14 of the same kind plus 31 of a much earlier-stage cohort.

For a service-business client where each qualified-lead-to-close cycle is 4-6 weeks and the sales team’s bandwidth is a hard constraint, the trade is bad. The team spent more time on 8 qualified leads (because they had to filter 45 fills) than on 14 qualified leads (filtered from 32).

When AI Max probably is the right call

This test was one account, one vertical, two weeks. The result is not a universal verdict. AI Max likely earns its keep when:

• The conversion window is long and the brand can afford to nurture top-of-funnel leads
• The product or service benefits from raw volume (high-CLV ecommerce with a strong post-purchase flow, for example)
• The sales team has spare capacity and a working lead-scoring layer that filters fills automatically before they hit the rep
• The existing keyword list is shallow and the landing pages are genuinely the better signal

For lean lead-gen accounts with a quality-constrained pipeline, the test above is the pattern I’d expect to see, not the exception.

How to test it cleanly on your own account

If you want to run the same head-to-head:

1. Pick a campaign with a stable baseline. Two months of consistent CPL and qualified-lead rate.
2. Duplicate it. Same creative, same landing pages, same conversion action, same bidding strategy and target.
3. Turn on AI Max in the duplicate. Leave the control alone.
4. Split the daily budget evenly.
5. Run for at least 14 days. Two full weeks of weekday/weekend cycles.
6. Compare the deltas at the CRM-qualified level, not the raw form-fill level. If your CRM doesn’t tag qualified vs unqualified, fix that before running the test.

Keep going

If this hit, the next two pieces in the same universe:

• Max Clicks, 0 conversions. The bidding strategy that floods accounts with bot traffic and how to read the Microsoft Clarity signal that proves it.
• Why Performance Max Gets Credit for Shopping Conversions. The attribution misread that gets Shopping campaigns killed.

Free PDF: The 25-page Google Ads Setup Audit. The STACK Audit checklist, expanded.

If the dashboard numbers and the CRM numbers do not match, that is the audit call. Talk to me.