April SEO Round-Up: AI Search, Visibility & Industry Shifts

April brought another busy month across search and AI, with Google continuing to push AI deeper into the search experience. We saw fixes to long-running reporting issues in Google Search Console, new signs that AI-driven traffic is becoming more valuable for retailers, and further expansion of Gemini-powered features across Search and Maps. At the same time, Google shared new guidance around content visibility and page structure, reinforcing how important accessibility and clear formatting have become.

The wider shift is becoming harder to ignore. Users are relying more on AI tools to discover products, find answers and explore content, often without following a traditional search journey. That means businesses now need to think beyond rankings alone. Visibility increasingly depends on how well content can be accessed, understood and surfaced by AI systems. Here’s a look at the biggest SEO and AI updates from April, and what they could mean moving forward.

Impression Reporting Error In GSC

At the beginning of April, Google confirmed that Google Search Console had been affected by a logging issue dating back to the 13th of May 2025. The problem remained in place until the 27th of April 2026, meaning impression data across roughly 50 weeks may not have been reported accurately. In many cases, this created the impression that visibility was performing better than it was, particularly when looking at impression growth over time. Thankfully, the issue has now been resolved, and reporting should once again reflect a more accurate picture of performance.

As these corrections settle in, some sites may notice a drop in reported impressions. While this can look concerning at first glance, it is largely a result of inflated figures balancing back out rather than a genuine decline in visibility. Google has also noted that related metrics, including click-through rate and average position, may have been indirectly affected during this period. For businesses relying heavily on year-on-year reporting, this may make historical comparisons more difficult, particularly when assessing long-term growth trends. We are currently working on a script for our clients to better estimate what impression levels were during the affected period, helping provide more reliable comparisons moving forward.

AI Traffic Gaining Higher Conversion Rates

During the first three months of 2026, traffic from AI sources to US retail websites grew by 393% YoY. More importantly, that traffic is proving to be highly valuable, with AI-driven visits showing a 42% higher conversion rate in March when compared to non-AI sources. As more users turn to AI tools to compare products, find deals and narrow down purchase decisions, it is becoming increasingly clear that AI is playing a much bigger role in the online shopping journey.

The report also highlighted a growing issue around visibility. Adobe’s AI Content Visibility Checker found that, on average, only 75% of retail homepages are visible to large language models, while category pages performed similarly at 74%. Even the strongest-performing sites only reached around 82.5% visibility. What this means in practice is that a significant amount of website content is still not being properly surfaced or understood by AI systems. As AI-driven search and shopping continue to grow, optimisation for LLMs is becoming just as important as traditional SEO. Understanding what AI platforms can and cannot access will be key to maintaining visibility, particularly as more users begin discovering products without following a traditional search journey.

Google Testing Audio Overviews

With AI Overviews continuing to become more prominent within Google search results, another AI-driven feature may already be on the way. Google first began testing “Audio Overviews” through Search Labs in mid-2025, using its Gemini models to generate short audio summaries designed to answer queries in a quick and accessible format. The feature works in a similar way to AI Overviews, turning information into concise responses that are easier to consume. More recently, users have started spotting Audio Overviews appearing directly within search results, which suggests Google could be preparing for a wider rollout beyond the Labs environment.

If this does become a more permanent part of the search experience, it could further change how content is surfaced and consumed. AI-generated responses already tend to favour content that is clear and easy to interpret, and audio summaries are likely to reinforce that even more. Overcomplicated wording and overly long explanations may become less effective, particularly if Google is looking for content that can be naturally adapted into spoken responses. For businesses, this means continuing to focus on concise, well-structured answers that are easy for both users and AI systems to understand, giving content a stronger chance of appearing across future AI-driven search features.

‘Read More’ Snippet Link Tips

Google shared new best practice guidance in April around improving eligibility for “read more” deep links within search results, giving more insight into how content should be structured to support deeper linking behaviour. The guidance focused heavily on accessibility and page structure, particularly ensuring that the content users are being directed to is immediately visible when the page loads. Content hidden behind tabs, accordions or dropdowns may be less suitable for these links, while excessive use of JavaScript that alters scroll positioning or removes URL fragments can also interfere with how deep links function within search.

What this really highlights is how important page layout and content presentation have become, not just for rankings, but for visibility within search features themselves. Google is continuing to reward content that is easy to access, interpret and simple for users to navigate. It also reinforces the idea that content lower down a page still holds value. Rather than worrying too much about page length, the focus should be on making sure useful information remains accessible throughout the entire page, as any section has the potential to be surfaced or cited directly within search results.

Other AI Updates

Announced in March 2026, the new ‘Ask Maps’ feature brings a more conversational approach to searching within Google Maps. Powered by Gemini, it allows users to ask questions in a more natural way and receive responses that feel more personalised. It also draws on previous searches and saved activity, meaning results can be shaped around individual preferences. For example, someone who regularly looks for vegan-friendly options may start to see those prioritised without needing to specify it each time.

It also changes how users plan and refine their searches. Instead of starting again, they can ask follow-up questions to narrow things down, making tasks like trip planning feel more fluid. As this continues to roll out globally throughout 2026, it signals a shift towards more guided, in-platform discovery. For businesses, this reduces the need for users to visit individual sites directly. It places more importance on accurate local listings and strong reviews, as visibility will depend more on real-world relevance than traditional search journeys.

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