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Illustrative photograph. Credits
In this article
  1. A practical check
  2. What the evidence supports
  3. What the report should connect
  4. Build a reading grid
  5. A limited but concrete decision
  6. Questions about the AI Max report

Google previewed an AI Max report that will connect search terms, creative assets shown, and the landing page. It said more details and availability will follow later in 2026; the interface is not yet generally available. Official source.

A practical check

Before release, list approved landing pages and campaign messages. Once available, identify queries that lead to the wrong page or to a promise the page does not support.

An example to investigate once the report launches: a local repair query triggers a service ad but sends the visitor to a generic page. The team can then correct the destination or message. That diagnosis requires actual account data.

What the evidence supports

Do not attribute performance to an unavailable report. At launch, check account coverage and metric definitions first. Date the check and retain the source documentation so that later changes can be verified.

What the report should connect

To judge a Search ad, a team needs to understand the relationship between the query, the ad message shown, and the landing page reached. Google's announced report may make that journey easier to inspect, but distinguish data actually available in the account from a feature preview. An ad report does not automatically reveal a user's full intent.

Build a reading grid

Before opening the new report, list five important queries and map each to the expected ad, destination, and desired action. When the feature appears, look for mismatches: a price query sent to a page with no pricing, a local ad sent to a national page, or a delivery promise missing from a product page. Check useful conversions rather than click volume alone.

A limited but concrete decision

If a relevant query repeatedly lands on a page that does not answer it, improve that page or the campaign mapping, then compare similar periods. One report row does not prove causation: bids, seasonality, and budget changes also influence outcomes. The aim is a testable diagnosis, not a magical reading of the customer journey.

Questions about the AI Max report

Will it show every query? Do not assume so. Read the definitions of rows and aggregates available when the feature reaches your account.

How can a poor destination be spotted? List high intent queries, then actually open the linked page on mobile. A quote seeking query sent to a page with no form is a mismatch the report may help expose.

What correction should be tested? Start with one page or ad group. Record the change and compare useful inquiries over similar periods. If volume is low, avoid conclusions based on one conversion.