Google Ads has a Search terms and ad combinations report linking each AI Max query to its headline and landing page, Search Engine Land reported Oct. 13.
If you run a high-ticket store and your Search campaigns use broad match or automatically created assets, Google began moving them into AI Max in September, so Google’s AI now picks the queries, writes the headlines and chooses the landing pages. For Ecommerce Paradise readers selling $1,500 products, this report puts all three on one row. A bad match on a $2,000 sofa costs real money, and until now many store owners could not see it.
Below: what the report contains according to Google’s own help page, how AI Max ended up on so many Search accounts, where the numbers get shaky, and a five-step audit to run before Black Friday budgets climb. If you are new to the model, start with my guide to what high-ticket dropshipping is.
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Google’s AI Max Report Links Search Terms to Headlines and URLs
According to Search Engine Land, published Oct. 13 by Paid Media News Editor Anu Adegbola, the Search terms and ad combinations report is built for AI Max for Search campaigns. It combines the queries that triggered ads, the headlines and descriptions shown, the landing pages, whether the match came from AI Max expanded matching or from landing page and URL inclusions, and whether the advertiser supplied the assets.
Google Ads specialist Natasha Kaurra shared the report on LinkedIn, per the article. It was spotted in at least one Google Ads account, and “broader availability and rollout timing have not been confirmed,” Search Engine Land wrote.
The article’s example: a basic car wash search that triggered an ad for a $699 ceramic coating package. It also warns that more visibility does not automatically mean better optimization, and tells advertisers to look past clicks to conversion performance and customer quality.
The view itself is not brand new. Google’s AI Max reporting help page says to open the Search terms report from the Campaigns menu, pick the Search terms dropdown and choose “Search terms and ad combinations (formerly known as Search terms and landing pages from AI Max).” The landing page view is the default, and a toggle in the top-right corner switches views.
Per the same page, you can tick an underperforming search term or landing page and select “Add as negative keyword” or “Add as negative URL” without leaving the report. Other AI Max reporting changes listed there include a “Source” column in the Search terms report, a “Selected by” column in the Landing pages report, and “Google AI” in the “Added by” column of asset reports for text Google generated.
The data was already flowing through the API. A Sept. 2 breakdown by Improvado VP of Products Roman Vinogradov lists the ai_max_search_term_ad_combination_view resource. Google’s API reference lists it in versions 21 through 25. What changed this week is the name and the combined layout showing up in accounts.
The limits are written into the documentation. Google’s help page says filtering by the “AI Max” match type may show lower numbers because it excludes “Other search terms.” It also says Google-customized text cannot be removed in bulk in the interface, only through the Google Ads API and Google Ads Editor, and it recommends waiting at least two weeks after enabling AI Max before making changes such as adding negatives.
TechHelp’s Sept. 26 summary adds more caveats. Some low-volume search terms are omitted for privacy, date is the only segment you can pick when querying the view directly, and Google itself calls the combination view “a specialized view for ad-combination analysis, not a financial ledger,” per that summary.
How Google Moved Search Campaigns Into AI Max Since April
On April 15, Brandon Ervin, Director of Product Management at Google Ads, announced on the Google blog that AI Max for Search was leaving beta. Google said “hundreds of thousands” of advertisers already used it. A June 11 update to that post pushed the Dynamic Search Ads sunset and auto-upgrade to February 2027, while upgrades for campaigns using automatically created assets or the campaign-level broad match setting still start in September 2026.
Improvado’s timeline fills in the dates. Creation of new campaign-level broad match and automatically created asset campaigns stopped Aug. 3, and the auto-upgrade ran Sept. 1 to 30 with campaign IDs carrying through. Improvado also notes that opt-outs are per feature in campaign settings, and that search term matching must be on at the campaign level before ad groups can use it.
Google backs AI Max with a performance claim. Its post says AI Max for Search campaigns see an average of 7% more conversions or conversion value at a similar CPA or ROAS when using the full feature suite compared with search term matching alone. That figure comes from Google internal 2026 data for non-Retail advertisers, and Google’s wording says so.
That qualifier matters if you sell products. PPC Land’s Oct. 10 analysis, “Google optimises its own revenue. Advertisers have to optimise theirs,” reports that Google’s claimed AI Max uplift has moved from 14% at launch in May 2025 to 7% at general availability in April 2026, then 15% on Alphabet’s July 22 earnings call. PPC Land has not verified those figures against primary sources, and I have not either.
The same piece cites analyst Mike Ryan, who studied 383 million EMEA ecommerce impressions and found that by July 2026 about 29% of exact match volume was being broadened by AI Max. That is a sample from one region, so treat it as a signal and not as your store’s number. Your own report is the check.
On the other side, Google’s case is simple: let the AI match more queries and write more ads, and conversions rise. I covered one of the controls last week in Google Ads lets you preview AI Max ad copy, which showed up to 10 AI-written headlines and descriptions before you switch on text customization. This new report is the after-the-fact version of that preview.
Google is also testing campaign setup from a typed goal, which I broke down in Google Ads tests typing your goal to build campaigns. The direction is clear: more decisions move to Google, and your leverage over them shrinks to reports, negatives and exclusions.
Why High-Ticket Stores Should Audit AI Max Search Terms Now
My read is that this report is the best free audit tool Google has handed Search advertisers this year, and most store owners will never open it. It answers one question: did Google spend my money on queries a $1,500 buyer would actually type?
Start with the math, and note that every number here is hypothetical. Say a store spends $4,000 a month on Search, sells an $1,800 product at a 30% gross margin, and clears $540 of gross profit per order. If 20% of that spend goes to queries that never convert, that is $800 a month, or about 1.5 orders of gross profit, before counting the sales that money could have bought elsewhere.
Now the scenarios, using thresholds I would apply myself. If under 10% of spend goes to off-intent queries after two weeks of data, keep AI Max on and add negatives. Between 10% and 25%, tighten hard: negatives, URL exclusions, and text customization off on categories where claims matter. Above 25%, or if the ads state anything your supplier would not approve, I would pause search term matching on that campaign and rebuild around tighter match types.
Headline claims are where dropshippers get hurt. Google’s own documentation says AI-written text can state things like price and availability, and TechHelp’s summary says to check those claims specifically. If your supplier enforces MAP pricing, a headline implying a discount below MAP is a supplier-relationship problem, not just an ad problem. Pair this with my post on Google disapproving products with fast-changing prices, because price mismatches between ads and pages are already a Google flag.
Landing page selection is the second risk. Improvado warns that final URL expansion can serve a page other than the one you configured, which can silently break UTM, page-group and CMS joins. On a Shopify store, that can mean a $2,000 product query landing on a collection page, a policy page or a blog post that has no buy button.
The timing is not great either. I covered the drop in buyer confidence in consumer sentiment falling as durables buying sinks, and that is the exact buyer you sell to. When fewer people are buying big-ticket items, wasted clicks hurt more, not less.
There is also a bidding wrinkle. Per PPC Land, Google’s Aug. 17 change pulls budget-limited campaigns using Target CPA or Target ROAS toward their targets even when they beat them, with Google’s own example a $10 target converting at $5 and being pushed toward $10. If your Search campaigns are budget-limited, that makes the search term audit more urgent, and it connects to why Google Ads pros say budget is the new Quality Score.
The counterpoint deserves a fair hearing. Google’s 7% figure excludes retail, so there is no Google-published baseline for stores like yours. Even so, an audit is not an argument against AI Max, and I am not telling you to switch it off. Plenty of stores will find that the report confirms good matching, and that is worth knowing too.
Conversion measurement decides whether the audit means anything. A report that ties a query to a headline is only useful if you know which queries produced calls, quotes and orders. That is the core of my post on why high-ticket Google Ads need a complete conversion system. The recent tracking changes in Google’s tag gateway story are worth reading alongside it.
If you would rather not run this audit every month, or you are still building the store and do not want to learn Search auditing on your own budget, my team builds and runs high-ticket stores through the turnkey done-for-you service.
Want 1-on-1 coaching to find out what Google’s AI is spending your Search budget on? Get the coaching details →
Audit Your AI Max Search Terms Before the Black Friday Spend
Run these five steps in order, ideally this week, before Black Friday budgets go up. My Black Friday Google Ads setup guide covers the campaign side.
- Open Campaigns, then Search terms, then the dropdown, and choose Search terms and ad combinations. Set the date range to the last 30 days, add the Source column, and filter match type to AI Max. If you were auto-upgraded in September, you are already past Google’s two-week waiting guidance.
- Sort by cost and review the top 25 terms. Label each one buyer, research or junk, then tick the junk and choose Add as negative keyword from the menu. Ask Claude to group an exported copy into query themes. Then run those themes through Semrush to see what your competitors bid on.
- Switch to the landing page view and check the “Selected by” column. Add URL exclusions for blog posts, policy pages and collections that do not sell. Confirm your UTMs still arrive, since final URL expansion can break them.
- Read every headline tagged “Google AI” in the asset reports against your supplier terms. Look at price, shipping, financing and warranty claims. If something is wrong, remove it through Google Ads Editor or the API, since the interface will not remove it in bulk.
- Reconcile against campaign totals, not the report, because Google says it is not a financial ledger. Track profit per order in Finaloop so a query that sells at a thin margin does not look like a winner. Review the Turnkey service details and email me with questions before ordering.
After the audit, feed the winners back into your product feed and landing pages. My guide on turning Google Shopping clicks into sales for high-ticket products covers the page side of that loop. For email capture on the traffic that does not buy the first time, Klaviyo is what I would set up first.
Support tickets are the cheapest research you have. The questions buyers send through Gorgias show the language they use before they buy, and that language belongs in your negatives and your ad copy. Tie it back to the broader plan in my Black Friday marketing strategy.
Frequently Asked Questions
Does this report cover Shopping and Performance Max campaigns?
No. Google’s help page describes it for AI Max for Search campaigns. For the Shopping side, start with my post on turning Google Shopping clicks into sales.
Is the report in my account yet?
Search Engine Land said it was spotted in at least one account and that rollout timing is unconfirmed. Google’s help page documents the path under the Search terms dropdown, so check there first.
Should I turn AI Max off?
Not before you audit. Improvado says opt-outs are per feature in campaign settings, so you can turn off one piece, such as text customization, without losing the rest.
How long should I wait before judging the data?
Google recommends at least two weeks after enabling AI Max before making changes such as adding negative keywords. Small samples, like one conversion, prove little.
Can I trust the totals in this report?
Use it for diagnosis, not accounting. Google calls the combination view a specialized view, not a financial ledger, so reconcile to campaign totals.
What if an AI headline breaks my supplier’s pricing rules?
Remove the customized text through Google Ads Editor or the API, then tell your supplier rep what happened. If you are still choosing suppliers, my high-ticket niches list is the place to start.
Want my team to scale the store you already have, including the Search campaigns Google’s AI is rewriting? See the scaling service →
I will keep watching how fast this report rolls out and what Google says about it. Subscribe to the YouTube channel for daily breakdowns. More breaking news coming through the day.
Related Articles
If this was useful, these go deeper:
- Google Ads Lets You Preview AI Max Ad Copy
- Black Friday Google Ads: How to Set Up Shopping and PMax for BFCM 2026
- Why High Ticket Google Ads Need a Complete Conversion System
- Google Ads Tests Typing Your Goal to Build Campaigns
- Google Ads Pros Say Budget Is the New Quality Score
Trevor Fenner is an ecommerce entrepreneur and world traveler from Seattle, Washington, and the founder of Ecommerce Paradise, a platform focused on helping entrepreneurs build and scale profitable high-ticket ecommerce and dropshipping businesses. With over a decade of hands-on experience, Trevor specializes in high-ticket dropshipping strategy, niche and product selection, supplier recruiting and onboarding, Google & Bing Shopping ads, ecommerce SEO, and systems-driven automation and scaling. Through Ecommerce Paradise, he provides free education via in-depth guides like How to Start High-Ticket Dropshipping, advanced training through the High-Ticket Dropshipping Masterclass, and fully done-for-you turnkey ecommerce services for entrepreneurs who want a faster, more hands-off path to growth. Trevor is known for emphasizing sustainable, real-world ecommerce models over hype-driven tactics, helping store owners build scalable, sellable, and location-independent brands.
He maintains homes in Seattle and Bali, spends most of the year overseas, and usually returns to Seattle for about a month each summer.
