The language gap you’re missing
🌐 Your brand may be well-cited in English and completely absent from the same question asked in another language, Ad platforms are pushing beyond traditional ads, and more!
Howdy readers 🥰
In this newsletter, you’ll find:
🌐 You might not exist in the language your customers actually search in
📣 Ad platforms are pushing beyond traditional ads
🏆 Ad of the day
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Together with AirOps
What 300+ Marketing Leaders Are Changing Now
Marketing teams are increasingly inheriting revenue goals their budgets were never designed to support. When the plan breaks, marketing still carries the full commercial cost of the shortfall.
AirOps surveyed 300+ CMOs and VPs to measure exactly how widespread that pressure has become and reveal where leaders are reallocating resources as AI search rapidly changes the channel mix.
- Pressure-test your targets against the 75.4% of leaders carrying higher pipeline or revenue expectations.
- Strengthen funding conversations with proof that only 43.0% received additional budget.
- Identify your AI-search exposure, as 86.6% prioritize it while measurement confidence remains at 23%.
The Marketing Leaders Reality Index gives you a practical reference point for evaluating whether your operating model can support the results leadership expects.
See which moves other marketing leaders are making before they become standard practice.
Get the Marketing Leaders Reality Index.
🌐 You might not exist in the language your customers actually search in
Google confirmed this month that campaign-level language targeting disappears from Search and AI Max for Search in late September, with matching moving to inference: what language a user is judged to understand, not which setting a campaign was built around.
An English-language query can now serve a French ad if Google's systems decide the user understands French.
That's a paid-media mechanic. It also describes something already true on the organic AI-answer side that almost nobody checks, because most visibility tracking only runs in one language: whichever one the team building it happens to speak.
This is different from whether your Spanish or French pages read well. It's whether your brand exists at all in the answer a model gives when the same question arrives in a different language.
Run the test before assuming the answer
Take your ten most category-defining prompts, the ones a customer would type when comparing options, and run each in English and in whichever second language a meaningful share of your customers speak.
Compare which brands get named. A brand cited confidently in English often disappears entirely from the same category question asked in another language, not because it did anything wrong there, but because the sources an AI system draws from in that language are a different set of publishers, forums, and retailers than the ones feeding its English answers.
Trace the gap to its actual source before building anything
A brand invisible in a second language is usually invisible for one of two different reasons, and the fix depends entirely on which one it is.
Sometimes the brand has real coverage in that language, reviews, local press, retailer listings, and the AI system just isn't drawing from those sources yet.
Other times the coverage genuinely doesn't exist, and no amount of waiting fixes that. Checking which case you're in before investing in localization or citation-building saves months of the wrong work.
That diagnostic, running the same prompt across languages and mapping which sources cite you in each, is what Semrush's AI Visibility Toolkit is built to surface in one pass. You can try it free for 7 days.
Recheck after the September change lands
Once language matching moves fully to inference in late September, the crossover between what a query is written in and what gets served back may shift again, on both the paid and organic side.
Rerun the same ten-prompt test after the change takes effect, not just before it. A gap that exists today because of stale source coverage could shrink or widen depending on how aggressively AI systems start serving cross-language answers once the setting stops constraining anything.
📣 Ad platforms are pushing beyond traditional ads
Meta, TikTok, and ChatGpt are all expanding how advertisers can reach, convert, and measure audiences, from automated Instagram DMs to TikTok ads appearing on physical screens.
The Breakdown:
Meta is testing comment-to-DM ads - Advertisers can choose up to five keywords that automatically trigger a private Instagram message when someone comments one of them on a promoted post.
TikTok ads are moving into the physical world - Its Out of Phone program is expanding across Europe, putting TikTok content on billboards, shopping mall screens, supermarkets, universities, bars, and other public displays.
ChatGPT Ads gets automated bidding - A new Maximize results strategy automatically adjusts bids toward an advertiser’s selected campaign goal to generate as many results as possible within budget.
ChatGPT adds targeting and attribution controls - Advertisers can choose between iOS, Android, and Web placements, while one-day view-through conversions can now be measured at campaign, ad group, and ad level.
The ad itself is becoming only one piece of the system. Platforms increasingly want to automate what happens before and after someone sees it, from bidding and placement to DMs and attribution. For marketers, the advantage shifts toward designing better journeys and feeding these systems better inputs rather than manually controlling every step.
🏆 Ad of the day
What Works:
Scale Stops Scroll - The oversized jeans create an immediate pattern interrupt, turning a familiar product into something visually impossible to ignore while keeping the fashion category obvious at first glance.
Styling Shows Identity - The model’s relaxed pose and casual outfit give the jeans a clear lifestyle context, helping shoppers picture the fit and reinforcing an effortless, everyday positioning.
Copy Reinforces Choice - “Always the right choice” works as simple confidence framing, while the minimal layout and bold typography keep cognitive load low and branding recall strong.
Take one recognizable product detail and blow it out of proportion. The surreal scale creates thumb-stop power without sacrificing product communication or brand relevance.
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