Language Targeting Leaves Google Ads, and AI Scraping Finally Has a Number

Two announcements on August 13, 2026 changed something small businesses actually touch. Google confirmed it is pulling language targeting out of Search campaigns, and Microsoft gave website owners a single number for how much AI crawlers take from a site compared with how many visitors they send back.

Neither arrived with a keynote. One landed as a product liaison post and a developer blog note, the other as a product update on a company blog. That is how most of the changes that quietly reshape a small ad account now arrive, and it is exactly why they get missed until the numbers move.

Google Ads Is Removing Language Targeting From Search Campaigns

Starting in late September 2026, Google Ads removes the campaign-level language targeting setting from Search campaigns, from AI Max for Search, and from the Search inventory inside Performance Max. Google’s own systems take over the job, matching on the language of your ad, your landing page, and the search itself.

Ginny Marvin, Google’s Ads Product Liaison, confirmed the rollout directly: “Starting in September, Google Ads will be removing the language targeting setting for Google search ads in Search and PMax campaigns.” She added the line advertisers were waiting for, that it “sounds like a big shift” but really is not one.

The plan is not new. Google first told advertisers this was coming with an end-of-2025 target, then let the deadline slide. The September rollout closes it out about nine months late, which is a large part of why so few accounts have prepared for it. It also lands in the same month as the automatic conversion of Search campaigns to AI Max, so September is stacking up.

What the Language Targeting Change Does Inside Your Account

For most small businesses, nothing breaks. Google says existing campaigns do not need restructuring, and accounts that already split languages into separate campaigns can keep that structure. Those campaigns simply get matched on their creative and landing page instead of on a dropdown.

What disappears is the control. If you have been setting language targeting at the campaign level and explaining performance swings with it, that explanation is gone in September. The honest read is that the setting was always weaker than advertisers assumed. It never filtered by the language of the search query. It keyed off the languages a person’s Google interface and behavior suggested they understood, which is a far looser signal than most account managers pictured.

The Second Change Nobody Is Talking About

Removing language targeting is only half of the update. Alongside the removal, Google’s system starts actively favoring the ad and the landing page whose language matches the search term when that search carries a clear language signal. That is new serving behavior, not a subtraction.

For a single-language business this is invisible. For anyone running Spanish and English versions of the same offer, it is the whole ballgame, because matching now leans on what you wrote rather than on what you selected.

What to Check Before Late September

Confirm every ad group’s copy and its landing page are written in one clear language. That pairing is now the signal.
Open your Performance Max campaigns. They are newly in scope for Search inventory, and many advertisers set language targeting once in 2024 and never looked again.
List any campaign whose performance you have explained with language targeting. Those are the ones to watch through October.
If you or a developer run scripts or a third-party tool over the account, ask the vendor about the API change now rather than in October.

The API detail is the one with a hard edge. Google recommends developers stop sending language criteria when creating or updating Search campaigns, and existing criteria will throw errors if a campaign is updated. Most small business owners never touch this directly, but plenty of them are running a bid-management tool that does. It is the same pattern as the target-based bidding change earlier this month.

Microsoft Clarity Now Counts What AI Crawlers Take

On the same day, Microsoft added an AI Scrape-to-Referral Ratio card to Clarity’s Bot Analytics dashboard. It compares how many times an AI operator crawled your site against how many visitors that operator actually sent you, and it ranks the operators so you can see which ones return anything at all.

Clarity is free, and that is the reason this matters for a small business. Until now the two halves of the question lived on opposite sides of the product. Bot analytics counted crawler requests, behavioral analytics counted human sessions, and nothing joined them.

The example Microsoft used in its own announcement is bracing: an average scrape-to-referral ratio of 6,000 to 1 against a total of 41 referrals. Barry Schwartz, writing at Search Engine Land, framed the value plainly, that the metric lets a site owner decide “which AI crawlers you allow and which AI crawlers you disallow” on evidence instead of instinct.

What You Can Actually Do With the Number

The card is not only a scoreboard. Each AI referral source links straight through to Clarity session recordings filtered to that source, so you can watch what an AI-referred visitor does after landing. That turns a raw referral count into a quality judgment: did they scroll, did they fill the form, did they buy.

Microsoft also built in a guard against the obvious failure mode. Ratios are calculated only across correctly mapped domains, so a gap between your CDN coverage and your Clarity coverage does not quietly produce a flattering or an alarming number.

The practical caution is that there is no target figure. A local service business taking ten qualified calls out of AI answers is in a completely different position from a publisher whose model is pageviews. This is one more measurement problem created by the shift from links to AI answers, and the number is a starting point for a decision, not the decision.

What Both Changes Have in Common

These are the same story told twice. A control you used to hold by hand is moving to a system that decides for you, and the leverage that is left is the quality of what you publish. Inside Google Ads, language targeting is replaced by the language of your ad and your landing page. Across search generally, your visibility is decided by crawlers whose return on your content you could not measure until this week.

The response is the same in both places. Write clearly, keep one language per page, and measure what comes back rather than what goes out.

Frequently Asked Questions About the Language Targeting Change

When is Google Ads removing language targeting?

Late September 2026. The setting disappears from Search campaigns, from AI Max for Search, and from the Search inventory inside Performance Max. Google first scheduled this removal for the end of 2025 and let that date pass, so the rollout arrives roughly nine months later than the original plan.

Do I need to restructure my campaigns before it happens?

No. Google says existing campaigns do not need restructuring, and accounts that split languages into separate campaigns can keep that structure. Once language targeting is gone, what matters is that each campaign’s ads and landing pages read clearly in one language, because that copy becomes the matching signal.

Does this change affect Performance Max campaigns?

Partly. Language targeting stops applying to the Search inventory inside Performance Max, which reverses Google’s 2025 position that non-Search campaign types would be untouched. The campaign-level language setting still guides YouTube, Display, Discover, and Gmail delivery inside those same campaigns.

What is a scrape-to-referral ratio?

It is Microsoft Clarity’s comparison of how many times an AI operator crawled your site against how many visitors that same operator sent back. A ratio of 6,000 to 1 means six thousand crawl requests produced a single visit. Clarity breaks the number out by operator.

Should I block AI crawlers on my website?

There is no single right answer, and the ratio should not decide it alone. Look at what AI-referred visitors actually do once they land, because a handful of high-intent visits can be worth more than a flood of shallow ones. Then judge each operator separately.

Stay Ahead of Quiet Google Ads Changes

Changes like this one land without a press release and cost money slowly. Our SEO and analytics work is built around catching them early and proving what actually returns. If your ads or your traffic have moved and nobody can tell you why, get in touch with Demur Design and we will go through the account with you. To hear about the next change like the language targeting removal the week it happens, subscribe to the Demur Design newsletter in the footer below.

This recap is researched and drafted with AI, then reviewed, fact-checked, and published by Demur Design.