What ads in Google's AI Mode mean for UK paid search teams

UK paid search teams have until the end of December, at the latest, before Google ads start appearing inside AI Mode answers. On 28 October 2026 Google said ads in AI Mode are scaling to ten countries now, with the UK, Brazil and Mexico due in the fourth quarter, and every existing Search, Shopping and Performance Max campaign qualifies automatically.

Key takeaways

• Google said on 28 October 2026 that ads in AI Mode are scaling to Australia, Canada, India, Kenya, Malaysia, New Zealand, Nigeria, Pakistan, the Philippines and Singapore.
• The UK, Brazil and Mexico are due in the fourth quarter of 2026, and Google gave no exact date for any of them.
• Google launched multiturn ads in the US on 28 October 2026, so ads can appear on answers to follow-up questions within one AI Mode conversation.
• Existing Search, Shopping and Performance Max campaigns are eligible by default, and advertisers can’t opt out of AI Mode or AI Overviews separately from Search.
• Google reports AI Mode and AI Overviews ad results only in aggregate within standard campaign reports and the search terms report.

What Google announced on 28 October

Shashi Thakur, Google’s VP and GM for Search Ads and Ads on Google Experiences, wrote the announcement on Google’s Ads and Commerce blog. Ads in AI Mode are scaling across ten new markets, and more locales follow in the fourth quarter, with Brazil, Mexico and the United Kingdom named. Google also launched multiturn ads in the US, which let ads show on follow-up queries as well as the first question, and said every ad carries a Sponsored label while it keeps testing new formats.

Google gave two numbers to back the move. AI Mode queries are on average about three times longer than traditional searches, from its US AI Mode report in May 2026. Google also said click-through rates on sponsored and organic product list items in AI Mode are already similar, based on its own US data from 20 August to 3 September 2026. Both figures are Google’s, from US users, and Google published no click-through rate in absolute terms. Search Engine Roundtable covered the announcement the same day.

What the help page adds

The Google Ads Help page on AI-powered experiences sets the rules. There are no new campaigns and no separate budgets, because existing Search, Shopping and Performance Max campaigns are eligible automatically. Formats are text ads and Shopping ads, and Google is testing local inventory ads and vehicle ads.

The help page lists Pakistan for text ads only and Indonesia for AI Overviews only.

Can you switch it off?

Not on its own. Google’s help page says advertisers can’t opt out of AI Overviews or AI Mode separately from Search, and can’t target them exclusively. Negative keywords and brand exclusions still limit when ads show, and they’re the only levers.

Reporting follows the same pattern. Impressions, clicks, conversions and cost from these placements go into standard campaign reports in aggregate, and the queries that trigger them sit in the search terms report in aggregate too. A UK team won’t be able to say how much of December’s spend went into AI Mode answers.

What it means for UK paid and SEO teams

Google has placed the UK launch inside peak retail trading. If ads in AI Mode switch on in late November or December, Black Friday and Christmas results will carry a placement change that no report separates out, and year-on-year comparisons will be harder to read.

Paid teams need to watch the query mix. AI Mode questions run about three times longer than classic searches, so broad match and Performance Max will meet conversational queries that no keyword list anticipated. A brand that let Google’s matching run loose on long queries will pay for that in a channel it can’t isolate. The Google Ads channel prioritisation changes earlier this month already moved budget decisions towards Google’s systems, and this is the same direction.

Shopping teams carry the biggest change. Sponsored product listings sit beside organic ones in AI Mode, and Google says users click them at similar rates, so product titles, attributes and prices in the Merchant Center feed decide whether you appear in a long, specific answer. SEO teams feel it too, because each sponsored listing competes with organic links for the same answer. We covered how Google moved AI Mode links higher on 15 October, and paid placements will now sit alongside them in the UK.

Our view at Manual Focus is that UK advertisers should treat AI Mode ads as a measurement problem before a media opportunity, because Google has bundled the placement into Search with no switch and no separate report. The teams that set a baseline in November will be able to tell whether a December shift came from AI Mode or from seasonality. The same pattern appeared with ChatGPT Ads turning on creative rewrites by default and Google writing review summaries into Search ads, where the platform made the choice and the advertiser gets the controls afterwards.

What should you do before December?

1. Record a baseline this week. Export the last eight weeks of Search, Shopping and Performance Max data by campaign, with query length bands from the search terms report, so you can spot a change in query mix when the UK launch lands.
2. Tighten negatives and brand exclusions. They’re the only controls Google lists. Add negatives for informational and comparison phrasing that has never converted for you, and review brand exclusions in Performance Max.
3. Audit the product feed. Check titles, key attributes, prices and availability for your top 50 products, since Shopping ads are built from those fields. The paid-search bidding agent playbook sets out margin-aware checks that fit this work.
4. Plan an incrementality test for January. With no AI Mode line in reporting, a geo or holdout test is the only way to judge what the new placement adds. The attribution tear-down playbook shows how to set one up.
5. Brief finance before peak. Tell your CFO that Google may add a new placement in the UK in the fourth quarter and that cost per click and conversion rate shifts in December may not be seasonal.

Questions Google hasn’t answered

Google gave no UK launch date beyond the fourth quarter, and no date for multiturn ads outside the US. It hasn’t said whether AI Mode ads will ever get their own segment in Google Ads reporting, or whether a separate opt-out will follow. The click-through figure covers product list items in the US over two weeks, and Google published no conversion data, so nobody outside Google knows how these ads perform for a UK retailer or a B2B brand. Google also hasn’t explained how it picks which ad shows on a follow-up question, or how that affects the auction for the first one.

Further reading

• What Google’s new AI Mode links mean for brand websites, on the organic link changes that paid listings will now sit beside
• What Google Ads channel prioritisation means for paid teams, on the budget controls Google changed in October
• AI Overviews hit 82% of tracked brand searches, on how often Google’s AI answers already sit on brand terms
• Attribution tear-down using GA4 and incrementality signals, for testing what a placement you can’t isolate adds

If you want help setting a baseline and test plan before the UK launch, our services page explains how we work.

I run paid search for [brand], [one line on what you sell], advertising
mainly in [market].

Google has said ads in AI Mode will reach the UK in the fourth quarter of
2026. Existing Search, Shopping and Performance Max campaigns become eligible
automatically, and Google reports the results only in aggregate, so I need a
clear "before" picture to compare against.

Attached are:
- a campaign performance export for the last 8 weeks (Search, Shopping and
  Performance Max), by week and campaign
- the search terms report for the same period, with clicks, cost and
  conversions

Give me:
1. A table with the columns: Campaign | Type | Weekly average spend |
   Clicks | Conversions | Cost per conversion | Conversion rate.
2. A second table that splits search terms into length bands (1 to 2 words,
   3 to 4, 5 to 7, 8 or more) with the columns: Length band | Share of
   clicks | Share of cost | Share of conversions | Cost per conversion.
3. Three sentences on what a shift towards longer queries would look like in
   these numbers.

Use only the figures in the files. If a column is missing or a campaign has
too little data to say anything, mark it "not in data" rather than estimating.

I manage Google Ads for [brand] in [market]. Google is bringing ads into AI
Mode, where queries run much longer and more conversational than classic
searches. Negative keywords and brand exclusions are the only controls Google
lists for those placements, so I want my negatives in order first.

Attached is the search terms report for the last [8] weeks with clicks, cost
and conversions.

Find search terms that are informational or comparison phrasing (for example
"what is", "how to", "vs", "best ... for", "review") which have spent money
and never converted. Group them into themes.

Give me a table with the columns: Theme | Example search terms | Cost in the
period | Conversions | Suggested negative keyword | Match type | Why.

Then list any themes you would NOT exclude because some terms in them did
convert, with the converting examples. Don't invent search terms that aren't
in the file, and say which rows you couldn't classify.

Set this up as a routine that runs every Monday morning until the end of
January.

I run ecommerce marketing for [brand] at [website]. Our Shopping ads are
built from our Merchant Center feed, and Google is bringing sponsored product
listings into AI Mode answers in the UK.

Attached is a Merchant Center product export for our top 50 products by
revenue, with title, description, key attributes (size, colour, material and
so on), price, availability and product page URL.

For each product, open the product page and check whether the feed matches
it on title, price, availability and key attributes. Also flag titles that
leave out the attributes a shopper would name in a long question, such as
size, fit, material or use.

Give me a table with the columns: Product | Revenue rank | Issue | Feed
value | Page value | Suggested fix. Rank it by revenue, and compare with last
week's run to list what's new, fixed or still open.

If you can't open a page or a field is empty, say so in that row rather than
guessing.