April was one of those months where the industry stopped talking about what AI might eventually do and started dealing with what it is already doing. Search is becoming more agentic. Shopping journeys are being reshaped by AI assistants. Advertisers have a new channel to test in ChatGPT. And Google quietly confirmed it had been reporting inflated impression data for nearly a year.
Across SEO and paid media, the throughline is the same: the rules of visibility are being rewritten, and the teams moving fastest are the ones treating these shifts as practical problems to solve, not trends to observe from a distance.
Here is everything that mattered in April, and what to do with it.
New data from Exploding Topics shows that AI is already embedded in the shopping journey for a significant number of consumers. In a survey of 1,009 US consumers, 77.6% said they have used AI for shopping, with ChatGPT used by 77.56% of AI shoppers and Google Gemini following at 58.21%.
Most people are using AI for the earlier stages of the journey: browsing, comparing, narrowing down options, and researching before buying. But trust disappears the moment money enters the equation. The most common amount consumers would allow AI to spend on their behalf is zero, with nearly a third of respondents unwilling to allow any autonomous spend at all.
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Semrush has put some useful numbers behind a question many content teams have been asking: what type of content is actually ranking? A study of 42,000 blog posts across 20,000 keywords found that human content had its clearest advantage right at the top of the SERP. At position one, human content was eight times more likely to rank than AI content. AI-generated content appeared more often further down page one, particularly from positions two to four.
That does not mean AI content is useless, but it does mean there is a meaningful difference between getting something onto page one and earning the top spot. Human input, editorial judgement, original thinking, and real experience remain hard to replace.
A lot of Google’s AI search features have felt like bad news for clicks. Web Guide is worth watching because it may be one of the exceptions. Ahrefs published a breakdown of the Search Labs experiment, which uses a custom version of Gemini to organise results into themed groups, clustering content around related subtopics rather than returning a familiar list of blue links.
The experience feels more like a curated search results page than a straight answer engine, and that is the important distinction: Web Guide is built around helping people explore and click through. Compared with AI Overviews and AI Mode, it appears much more likely to send users to websites. It is still early, available only in the US as an opt-in Search Labs experiment as of March 2026, but enough Search Labs features have graduated into wider rollouts to make this worth keeping an eye on.
Google’s latest AI Mode updates make one thing very clear: Search is becoming more agentic. In April, Google rolled out task-focused features inside AI Mode, including hotel price tracking directly from Search, an AI agent that can call local stores to check product availability, and a Canvas tool that turns research into structured travel plans.
This is not just better search results. It is Google moving closer to completing tasks inside the search experience itself. The website is no longer always the final destination; increasingly, it is part of the information layer an AI system uses to answer, compare, recommend, or act.
There was finally some encouraging news around AI Overview click-through rates. Seer Interactive tracked 53 brands, 5.47 million queries, and 2.43 billion impressions from January 2025 to February 2026. Their data showed that AI Overview CTR hit a low point of 1.3% in December 2025, then rose to 2.4% by February 2026, an 85% increase in two months.
It is not a full recovery, and it does not undo the wider click-loss problem. But it does suggest the worst-case narrative of CTR collapsing indefinitely may be too simplistic. The more important point is that citation matters: when an AI Overview appears, pages cited in it receive more clicks than pages ranking on the same SERP that are not cited. Both still underperform compared with searches that do not trigger AI Overviews at all.
AirOps analysed 16,851 queries to understand what gets cited by ChatGPT, and the findings are actionable. The strongest pattern is that ChatGPT tends to cite pages that already rank well, use query-aligned headings, and answer a specific question clearly. Pages in the top search position were cited 58.4% of the time, compared with 14.2% for pages ranking in position ten.
The most interesting implication is around content format. Broad, comprehensive guides are not always the best fit for AI citation. ChatGPT appears to favour tighter, more focused pages that answer the user’s question directly. That does not mean pillar content is redundant, but it does mean pillar content may need support from more precise satellite pages targeting specific queries.
A Search Engine Land series this month examined how AI systems interpret content and assign meaning to brands, entities, claims, and relationships. The key insight is that AI systems are not simply reading pages the way a person would. They annotate content, identify claims, connect ideas, and weigh how trustworthy or useful that information is based on provenance and corroboration.
That is where brands can run into problems. If your content is vague, inconsistent, or hard to classify, AI systems may misunderstand who you are, what you do, or why you matter. One of the most useful takeaways is that third-party content can carry more weight than your own claims. A credible external article about your brand may be more influential than your own positioning copy precisely because it has stronger corroboration.
Google confirmed that a logging error had been over-reporting impressions from 13 May 2025, with clicks and other metrics unaffected. The correction began rolling out in early April, which means many accounts may have seen impression numbers drop as the fix took effect.
This also has implications for CTR analysis. Because CTR is calculated using impressions, inflated impressions would have made CTR appear worse than it actually was. A sudden apparent improvement in CTR after the correction may not reflect a genuine performance change; it may simply be that the denominator was finally accurate. Google communicated this through a quiet update to its data anomalies page rather than a direct Search Console notification.
Ask Maps, Google’s Gemini-powered conversational layer inside Maps, is another clear signal that local SEO is shifting beyond proximity and star ratings. In testing, Ask Maps did not simply return the nearest or highest-rated businesses. It interpreted the user’s request and narrowed results based on qualities such as responsiveness, specialisation, and service approach, drawing from Google Business Profile data, reviews, Q&A content, and website information to decide which businesses best match the intent.
The result is fewer businesses shown, but with significantly more interpretation layered on top. The question is no longer just whether a business ranks in Maps. It is whether Google understands what that business is actually good at.
Google is integrating Gemini directly into the Ads reporting interface to generate real-time, dynamic dashboards. Rather than manually pulling reports and comparing date ranges to spot anomalies, advertisers can use conversational prompts to ask Gemini to build visualisations of campaign performance, highlight drops in conversion volume, or identify which assets are driving a spike in ROAS.
Google has rolled out journey-aware bidding, an evolution of Smart Bidding that factors in the full sequence of touchpoints across Search, YouTube, and Display that lead to a conversion, rather than optimising purely for the final click. Alongside this, Google has introduced enhanced budget pacing controls, giving advertisers more levers to dictate how spend is distributed throughout the month rather than leaving it to the algorithm’s daily fluctuations.
Self-serve ads in ChatGPT are now live and scaling, and the broader landscape of AI-engine advertising is solidifying. OpenAI is integrating ads more natively into conversational flows, and industry consensus is forming around how to approach these placements. They are highly contextual but require a meaningfully different approach to traditional search intent: users are researching and brainstorming, not arriving with purchase intent fully formed.
As generative AI tools become widely available, Google is explicitly cautioning advertisers about the risk of a sea of sameness. If every brand uses the same AI prompts to generate the same polished, generic imagery and copy, ad blindness increases across the board. Google’s position is that AI should be used to accelerate creative production, but the underlying strategy must still rely on unique brand identity, distinctive assets, and human differentiation.
Meta has been rolling out a series of backend interface updates and new micro-controls for Advantage+ campaigns. While Advantage+ has historically operated as a black box, these updates are gradually giving advertisers more granular visibility and control, specifically around how budgets are distributed across placements and audience segments.
The theme running through April is that AI in search and advertising has moved past the announcement phase. It is now operational. ChatGPT ads have a self-serve interface. Google’s AI Mode is calling stores and tracking hotel prices. Ask Maps is deciding which local businesses match a user’s intent. Search Console was quietly correcting a year’s worth of inflated data in the background.
The practical implication is the same whether you are working on SEO or paid media: the systems making decisions about visibility and spend are increasingly AI-driven, which means the inputs those systems rely on, structured data, accurate business information, specific and credible content, strong brand signals, and distinctive creative, matter more than they ever have.
At Verkeer, keeping across these shifts and translating them into clear action for clients is what we do every day. If any of this month’s updates have raised questions about your strategy, we would love to talk.
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