Google just dropped Ads API version 25.2 with competitive percentile metrics and smarter bid recommendations, but none of that helps if an AI Overview is quietly undermining your message on the same page.
Google released version 25.2 of the Google Ads API on September 23, 2026. It is a minor release, but several of its additions are directly relevant to advertisers running paid search for competitive categories. The update includes competitive benchmark percentile metrics, the ability to generate Performance Max drafts from Smart campaigns, asset group URL options, and Search bid adjustment recommendations.
The most immediately useful additions are the competitive benchmark percentile metrics and the Search bid adjustment recommendations. Competitive percentile metrics let you see where your campaign performance sits relative to peers in your category, not just against your own historical data. That context matters for industrial and commercial advertisers who are bidding in tight, specialized markets where a small share shift has a real revenue impact.
The Search bid adjustment recommendations give campaign managers a more structured signal for where to push spend and where to pull back. Combined, these two additions reduce the guesswork involved in competitive keyword bidding.
25.2 Google Ads API version released September 23, 2026, adding competitive percentile benchmarks and Search bid adjustment recommendations
Better bid data and competitive benchmarks are useful, but they are campaign-level improvements. They do not touch the SERP-level conflict that has been documented on live searches: Google AI Overviews confidently contradicting paid ads appearing immediately above them on the same results page.
When a user searches a commercial query, they may see your paid ad at the top of the page and an AI Overview panel below it. In documented cases, those two elements are not in agreement. The AI Overview states something that directly conflicts with the claim in the paid ad sitting immediately above it. Both are on the screen at the same time. The buyer sees both.
This is not a formatting issue or a visibility issue. It is a trust issue. When your ad says one thing and Google's AI confidently says another, the user does not think Google is wrong. They think your ad is misleading.
The new competitive percentile benchmarks may show you that your impression share is lower than peers in your category. The natural response is to increase bids using the new Search bid adjustment recommendations. But if the queries driving that gap are also triggering AI Overviews that contradict your ad copy, spending more to win those auctions sends more buyers into a moment of mixed signals, not a clean conversion path.
For industrial and commercial buyers who are already skeptical of advertising, a visible contradiction on the same page is a reason to close the tab and move on. The cost is not just a missed click. It is a missed sale from a buyer who was already close.
The Performance Max draft generation from Smart campaigns is a useful migration tool, but it also means more campaign surface area producing ad copy and asset combinations that need to be checked against what AI Overviews are saying about the same queries.
AI Overviews synthesize information from sources across the web, including your competitors, third-party review sites, and older content. If your ad promotes a current price, a product spec, or a service claim that differs from what the broader web says about your category, the AI may surface the contradiction without knowing it is your ad above it.
Your own outdated website content, old press mentions, or a competitor's claims can feed the AI panel that then contradicts your live paid campaign. You are paying per click, and now potentially paying more per click with better bid tools, to send buyers into a moment of doubt you helped create.
ChatGPT ads is OpenAI's ad platform that places your message in front of users who are already asking conversational, product-research questions in ChatGPT. Unlike Google Search, where intent is keyword-driven, ChatGPT targets the middle of the funnel, users actively exploring solutions before they commit to a purchase, not necessarily bottom-funnel transactional searches.
It means that roughly 1 in 5 people using ChatGPT are asking questions with a buying intent behind them, like 'best CRM for small teams' or 'how to automate invoicing.' That's a high concentration of qualified prospects compared to display or awareness-focused channels, making it a middle-funnel opportunity.
Not necessarily. ChatGPT ads and Google Search serve different moments in the buyer journey. Google captures high-intent bottom-funnel queries; ChatGPT reaches evaluators earlier. The best approach is to test ChatGPT alongside your existing channels and measure which delivers lower customer acquisition cost for your products.
Businesses selling solutions to problem-solving questions are ideal, SaaS, professional services, e-commerce categories, and B2B tools. If your marketing success depends on reaching people mid-evaluation (before they click 'buy now'), ChatGPT's 'super intentional' user base is worth testing.