New Baselines, Agentic Search and the Next Visibility Layer

What April’s Changes Mean for Your Visibility

Updates this month reinforced two clear themes: Google’s Search Console reporting error means many brands will need to reset impression performance benchmarks, while search itself is becoming more AI-assisted and task-led.

Between reporting changes, AI-generated results and shifting user behaviour, brands now need more context to judge visibility and performance accurately, much like they did following the &num=100 reporting changes.

In Short:

• Google Search Console admitted data logging issue and impression reporting errors
• Google March 2026 core update rollout completion
• Google spam policy, Googlebot crawl limits and Merchant Center updates
• Google AI Mode and Search “agent manager” developments
• AI referral traffic, AI shopping growth and AI Overview CTR studies

The main takeaway is that visibility is still critical, but the way it is measured is becoming more complex.

New Reporting Baselines And Continued Ranking Volatility

Business Impact

Brands may have seen impressions decline, rankings fluctuate or CTR change across April and early May. In some cases, visibility data may look different even where clicks, enquiries or conversions have not changed in the same way.

Google Search Console Impressions Need A New Baseline

What happened

Google confirmed a Search Console logging issue that affected impression recording from 13 May 2025. Google said the issue would be resolved over the following weeks and that site owners may notice a decrease in impressions in the Search Console Performance report. Google also said clicks and other metrics were not affected.

Why this matters

If impression data has been over-reported, historic visibility comparisons may need to be treated with more caution. As with the previous &num=100 reporting disruption, the key point is not that organic performance has necessarily fallen. It is that the reporting baseline has changed.

The March Core Update Completed In April

What happened

Google’s March 2026 core update completed on 8 April after a rollout lasting over 12 days . It was Google’s first broad core update of 2026 and affected rankings globally.

Why this matters

Early-April ranking movement should be viewed in the context of the completed core update. Core updates are broad ranking-system changes, not manual penalties, so affected pages usually need to be reviewed for search intent, content usefulness, competitiveness and user experience.

What This All Means For Brands

April and May SEO reports should clearly note the Search Console impression issue and the completed March core update. Impression changes should be compared with clicks, enquiries, conversions and rankings before being interpreted as genuine visibility movement. Ranking changes in early April should be reviewed in the wider context of core update volatility.

Google Is Raising The Floor On Technical Trust, Crawlability And User Experience

Business Impact

Businesses with poorly managed technical foundations may face greater visibility and usability risks as Google continues to prioritise accessible content, stable browsing experiences and reliable structured data.

Back Button Hijacking Becomes An Explicit Spam Policy

What happened

Google introduced a new spam policy for back button hijacking, targeting websites that manipulate browser history so users cannot easily return to the previous page. Google said sites using these practices may face manual spam actions or automated ranking demotions, with enforcement beginning on 15 June 2026

Why this matters

For most well-managed business websites, this should not be a major concern. However, it shows that manipulative user experience can become a visibility risk, particularly where third-party scripts, ad technology, aggressive lead capture or campaign landing pages interfere with normal browsing behaviour.

Googlebot Byte Limits Reinforce The Need For Lean, Ordered HTML

What happened

Google clarified that Googlebot fetches up to 2MB for individual non-PDF URLs, including HTTP headers. For PDFs, the limit is 64MB. Any bytes beyond the cut-off are not fetched, rendered or indexed.

Why this matters

This is not a reason to move large web content into PDFs. The practical point is that important HTML content should be accessible, well structured and loaded early, including key copy, metadata, canonicals, structured data and internal links.

This also matters for AI visibility because AI crawlers and search systems need to retrieve key information efficiently.

Merchant Center Keeps Ecommerce Data Quality In Focus

What happened

Google published its 2026 Merchant Center product data specification update, covering changes intended to make product data submission easier and improve the shopping experience.

Why this matters

This is most relevant to ecommerce and product-led brands. Product data now supports visibility across Shopping, organic product surfaces, paid activity and potentially AI-assisted product recommendations, so accurate feeds and well-structured product pages are becoming more important.

What This All Means For Brands

Technical foundations still matter across both traditional search and AI-assisted discovery. Key content should be easy to access, scripts should not create poor user journeys, and structured data should be used where relevant.

Businesses with large ecommerce catalogues, script-heavy websites or aggressive lead-generation experiences may be more exposed where technical issues affect usability or crawlability. For ecommerce and product-led brands, product feeds, product pages, pricing, stock information and delivery details should be treated as part of the wider visibility picture.

Search Is Moving From Ranked Answers To Task Completion

Business Impact

Brands may increasingly find that users arrive more informed, compare more options before making contact, or rely on AI-assisted journeys before visiting a site. This may be most noticeable in higher-consideration sectors where customers research, compare and validate providers before enquiring.

Google’s “Agent Manager” Direction Changes The Search Conversation

What happened

Google CEO Sundar Pichai has described Search as moving towards an “agent manager” model, where users can get help completing tasks through multiple agents rather than simply receiving a list of links.

Why this matters

If search becomes more agentic, the winning brand may not always be the one that ranks first. It may be the brand that gives AI systems the clearest, most reliable and most actionable information to use, especially in comparison-heavy journeys such as property, finance, holidays, manufacturing and B2B services.

AI Mode In Chrome Brings AI Assistance Closer To The Browsing Journey

What happened

Google announced AI Mode in Chrome, allowing users to interact with AI assistance while browsing web pages.

Why this matters

Websites remain important, but they may increasingly be interpreted inside an AI-assisted journey. Vague copy, thin service pages and unclear propositions become more exposed, while clear explanations, FAQs, proof points, comparison-friendly content and consistent contact or location information become more useful.

AI Crawlers Are Increasingly Fetching Answers In Real Time

What happened

Search Engine Journal reported research based on 68.9 million AI crawler visits in February 2026. In that dataset, 56.9% of AI crawler activity was linked to user fetch or real-time answers, 28.8% to training and 14.3% to discovery or indexing. OpenAI accounted for 81% of the AI crawler visits.

Why this matters

AI visibility is not only about being included in historic training data. Some AI systems are actively fetching current web information in response to user queries, which makes crawlability, internal linking and answer clarity more important.

More AI Mode Links Could Create New Citation Opportunities

What happened

Search Engine Roundtable reported that Google may be showing more links within AI Mode results, although the article caveats that it is unclear whether this is a test or query-specific behaviour.

Why this matters

This should not be overstated yet, but more visible source links in AI experiences could create additional opportunities for brands to earn citations and traffic. AI visibility is not only about being mentioned; it is also about whether AI systems use your site, cite your content and represent your services accurately.

What This All Means For Brands

Brands should think beyond whether a page ranks and consider whether their wider digital presence gives AI systems enough reliable information to understand and recommend them. Clear service pages, comparison-friendly content, FAQs, current product or service information, credible proof points, accurate local data, schema markup, internal links and external references all support this.

AI Visibility Is Commercially Real, But Uneven And Difficult To Measure Cleanly

Business Impact

Brands may have seen early signs of AI-driven referral traffic, changing CTR patterns or more informed users arriving from research-led journeys. These effects are unlikely to be evenly distributed across every sector or audience, so some brands may see measurable AI traffic while others feel the impact more indirectly.

ChatGPT Referral Traffic Is Growing, But Concentrated

What happened

Semrush reported that outbound referral traffic from ChatGPT grew by 206% in 2025. It also reported that more than 30% of referral traffic from ChatGPT went to 10 domains, and more than 20% went to Google. ChatGPT’s search feature was enabled on 34.5% of queries in February 2026, down from 46% in late 2024.

Why this matters

ChatGPT can drive measurable referral traffic, but the benefit is currently concentrated among a small number of major domains. For many brands, AI visibility may show up first as influence rather than direct referral volume, as users may discover a brand through an AI answer, search for it later, visit through Google, or convert through another channel.

AI Search Adoption Depends On Customer Profile

What happened

Search Engine Land reported that AI search adoption is not equal across audiences and that income is a significant adoption factor, with higher adoption among households earning over £100,000.

Why this matters

AI visibility strategy should be shaped around the customer base. For higher-consideration, higher-income or research-heavy audiences, AI search may already influence discovery, while other audiences may still rely more heavily on Google Search, Maps, social, referrals and paid media.

AI Shopping Traffic Is Showing Stronger Commercial Signals

What happened

Adobe data reported by Search Engine Land found that AI traffic to US retail sites increased by 393% year on year in Q1 2026 and by 269% year on year in March. The same report said AI-driven visits converted 42% better than non-AI traffic in March, compared with a year earlier when AI traffic was 38% less likely to result in a purchase.

Why this matters

This is US retail data, so it should not be treated as a universal finding. However, it is highly relevant for ecommerce and product-led brands because it suggests users arriving from AI tools may be more informed, more task-focused and closer to decision-making.

AI Overviews Continue To Complicate CTR And Click Measurement

What happened

Several April reports showed mixed AI Overview click data. One field study reported that AI Overviews reduced organic clicks by 38% on affected queries and increased zero-click searches from 54% to 72%. Another reported that CTR for brand-cited AI Overview pages fell by 61% from Q3 to Q4, but clicks did not collapse because impressions grew faster than clicks. A further study suggested that AI Overview CTR rose from 1.3% in December 2025 to 2.4% in February 2026.

Why this matters

The data does not support a simple conclusion that AI has killed organic clicks or that AI has no impact. AI Overviews can change user behaviour, increase zero-click searches, alter impressions and shift the relationship between visibility and traffic, which makes CTR harder to interpret on its own.

What This All Means For Brands

AI visibility should not be treated as a universal trend affecting every brand in the same way. The opportunity depends on audience behaviour, sector, query intent and buying journey. Reporting should look beyond CTR and include rankings, clicks, conversions, AI citations, referral quality and whether organic search still supports the wider customer journey.

Local And Publisher Visibility Are Becoming More Preference-Led

Business Impact

Brands with local, regional or content-led visibility strategies may see discovery become more shaped by trust, preference and local context. For publishers, this may affect how loyal audiences interact with news sources. For local businesses, it points to a future where reviews, events, opening hours, business data and location signals may play a bigger role in conversational recommendations.

Preferred Sources Expands To All Supported Languages

What happened

Google announced that Preferred Sources is now available globally in all supported languages. The feature lets users select news sources they want to see more often in Top Stories. Google also said users are twice as likely to click through to a site after marking it as a Preferred Source.

Why this matters

This is most directly relevant to publishers and news-led brands, but it also reflects a wider trend towards user-selected trusted sources. For businesses that publish regular insight, the broader lesson is to build recognisable expertise and content that people want to return to.

Ask Maps Points Towards Conversational Local Discovery

What happened

Google’s Ask Maps feature became available to users in the US and India in April. The feature uses Gemini to help users research places, plan trips and ask conversational questions using local information such as reviews, popular times and events.

Why this matters

This is not yet a UK rollout story, but it is an important direction-of-travel signal. If users increasingly ask conversational questions inside Maps, then Google Business Profile data, review content, photos, event listings, location relevance and local entity consistency all become more valuable.

What This All Means For Brands

Local information and external trust signals should be treated as part of the wider visibility picture. Google Business Profile data, reviews, photos, events, opening hours, locations and service information should be accurate and regularly maintained. For multi-location brands, consistency across the website, Google Business Profile, directories and third-party sources becomes especially important.

What To Watch Next

1. Search Console baselines should be monitored through May reporting. If impressions decline while clicks and conversions remain steady, the reporting explanation should be made clear before performance conclusions are drawn.
2. Google’s AI Mode developments should also be watched, particularly around source links, citation visibility and whether AI-assisted browsing changes click behaviour.
3. AI crawler behaviour may become a more useful reporting layer for larger websites if AI systems increasingly fetch live content in response to user queries.
4. Ask Maps is currently a US and India story, but it should be watched as part of the wider Local and Entity Visibility picture.
5. The European Commission has also proposed measures that would require Google to share search data with third-party search engines on fair, reasonable and non-discriminatory terms. This is a tertiary story for most clients today, but worth monitoring because it could affect search competition, third-party tools and the future availability of visibility data.

April’s Key Learnings

SEO reporting now needs more context than ever.

• Search Console impression data may be resetting
• Core updates are still driving ranking volatility
• AI Overviews are changing click behaviour
• AI search tools are influencing how people research and choose brands

But the fundamentals still matter.

Clear content, strong technical foundations, accurate business information and trusted local signals now support both traditional SEO and AI visibility.

The brands that perform best will not be the ones chasing every new AI feature. They will be the ones building reliable, accessible and well-structured visibility across every search experience.

If you want to understand how these changes could affect your rankings, reporting or AI visibility, our team can help identify where your search presence is strongest, where the risks are and where the next opportunities may be.