If your Google Search Console is showing impressions climbing while clicks and traffic drop, your site is not broken and you have not been penalised. You are witnessing a structural shift in how Google delivers answers. AI Overviews now intercept informational queries and answer them directly on the results page, satisfying the user's intent before they ever reach your site. The result is a paradox: greater visibility in search, less actual traffic [honchosearch.com]. For B2B companies, where a single inbound lead can be worth thousands of dollars, understanding this gap is no longer optional.

TL;DR

• AI Overviews are pushing impressions up while click-through rates fall significantly across most informational queries [inmotionhosting.com].

• Zero-click searches now account for nearly 70% of all queries, accelerating a trend that predates AI but is now structurally embedded [marketing.trialguides.com].

• Being cited inside an AI Overview is more valuable than ranking below one - brands cited in AI responses receive meaningfully more clicks than those that simply rank [dataslayer.ai].

• B2B companies in APAC are especially exposed because their buyers now research through ChatGPT, Gemini, and Perplexity before ever reaching Google.

• The strategic response is not to chase impressions - it is to become the source that AI models trust and cite.

About the Author: Simaia is an agentic marketing team specialising in AI search visibility for B2B companies across APAC, running end-to-end AI search audits and content strategies across ChatGPT, Gemini, Claude, Perplexity, and Google AI Overview.

What Is the Impressions-Clicks Paradox in Google Search Console?

The impressions-clicks paradox describes a pattern now visible across thousands of websites: Search Console records an impression every time your page appears in a results set, but if an AI Overview answers the query before the user scrolls to your link, no click follows [digitalapplied.com]. Impressions count the appearance; clicks count the visit. When AI Overviews occupy the top of the page for informational queries - which is precisely where most B2B content ranks - the gap between those two numbers widens [honchosearch.com].

Key mechanics behind the paradox:

• An impression is logged even when your link sits beneath an AI Overview that already answered the question.

• AI Overviews have a much lower click-through rate than traditional organic positions [digitalapplied.com].

• Studies published in early 2026 show AI Overviews reduced clicks to top-ranking content by 58% in some query categories [ahrefs.com].

• A separate analysis found organic CTR dropped by 61% on queries where AI Overviews appeared [dataslayer.ai].

This is not a data reporting error. It is the search experience changing underneath your existing rankings.

Why Are B2B Websites Hit Harder Than B2C Sites?

Building on the mechanics above, the harder question is why B2B sites absorb a disproportionate impact. The answer lies in query type. B2B buyers tend to research through informational and comparison queries - "best ERP for mid-market manufacturers," "how to evaluate an outsourcing partner," "what is revenue-based financing" - exactly the query types that AI Overviews are optimised to intercept [inmotionhosting.com].

B2C queries for products or local services often retain commercial intent that pushes users to click. B2B research queries are largely satisfied by a well-formed AI answer. A founder evaluating software vendors gets a structured comparison in the AI Overview and may never visit any of the ranked pages below it [marketing.trialguides.com].

Additional B2B-specific pressures:

• Longer sales cycles mean buyers research more extensively through AI tools before any human contact occurs.

• Niche industries have fewer competing sources, so one AI Overview can capture the entire informational surface area of a topic.

• B2B companies in APAC often rely on a small number of high-value inbound leads, making even a modest traffic drop commercially significant.

Is a High Impression Count Still Worth Anything?

Impressions are not worthless - but they measure the wrong thing in 2026 [footbridgemedia.com]. A rising impression count tells you that Google considers your content relevant. That relevance signal still matters for eventual citation. The problem is treating impressions as a proxy for performance when clicks are what drive pipeline.

The useful reframe: impressions confirm you are in the conversation. Citation confirms you are the authority in it.

How Do You Become the Source AI Overviews Actually Cite?

Stepping back from the diagnostic view, the practical question is what actually earns citation inside an AI Overview. Google's AI systems pull from sources they assess as authoritative, well-structured, and directly responsive to the query. That requires a different kind of content than traditional SEO articles.

Content characteristics that increase citation likelihood:

• Direct, self-contained answers. Each section should answer a specific question fully, without requiring the reader to read surrounding paragraphs for context. AI extraction works at the paragraph level.

• Named, specific claims. Vague assertions ("many companies struggle with X") are harder to cite than specific, attributed statements.

• Structured formatting. Bullet points, tables, and labelled sections give AI models clean extraction points.

• Source credibility signals. Backlinks from publications that AI models already trust (industry media, established news outlets, high-authority directories) increase the probability your content is pulled.

A related but distinct concern for B2B companies is that Google AI Overview is only one surface. Buyers also ask ChatGPT, Gemini, Claude, and Perplexity - and each model has its own preferred source ecosystem. ChatGPT weights LinkedIn heavily. Google AI Overview draws from Reddit and indexed web content. Perplexity prioritises recency. A single content format does not serve all of them equally.

This is where Simaia's approach becomes relevant. Rather than publishing generic blog content and hoping it surfaces, Simaia maps which platforms each LLM cites in a given client category, then places content precisely on those platforms - LinkedIn posts, Reddit responses, press releases to cited media outlets, and on-site blogs formatted for LLM extraction rather than traditional keyword density. For one healthcare SaaS client in Australia, this approach grew AI search visibility from 0% to 45% within 2.5 months.

What Should B2B Marketers Actually Do Right Now?

A related but actionable question: given the paradox is real and structural, what does a practical response look like?

Step 1: Audit your current AI visibility. Before optimising, know where you currently appear across ChatGPT, Gemini, Claude, Perplexity, and Google AI Overview. Most B2B companies in APAC appear in none of them.

Step 2: Separate your traffic sources in Search Console. Filter by query type to identify which queries have high impressions and near-zero clicks. These are your AI Overview-intercepted queries and the highest-priority content to reformat.

Step 3: Reformat existing high-impression content for citation. Add direct Q&A structure, remove filler paragraphs, and ensure each section opens with a standalone answer.

Step 4: Build presence on the platforms each LLM cites. Publish on LinkedIn, engage in relevant Reddit communities, and place press releases in media that AI models treat as trusted sources.

Step 5: Identify who is arriving from AI referrals. Traffic from AI-referred visitors often goes unidentified in standard analytics. De-anonymising these visitors - surfacing company name, contact details, and LinkedIn profile - converts invisible traffic into actionable leads.

Frequently Asked Questions

Why are my Search Console impressions going up while clicks go down?
AI Overviews are answering queries on the results page before users reach your link. Impressions count the appearance; without a click following, the gap widens [honchosearch.com].

Does appearing in an AI Overview increase or decrease my clicks?
Being cited inside an AI Overview increases clicks compared to simply ranking below one. Brands cited in AI responses get meaningfully more clicks than uncited results [dataslayer.ai].

Is zero-click search a new problem?
No, but AI Overviews have accelerated it significantly. Zero-click searches now account for nearly 70% of all queries [marketing.trialguides.com].

How much have AI Overviews reduced click-through rates?
Research published in early 2026 found AI Overviews reduced clicks to top-ranking content by 58% in affected query categories [ahrefs.com].

Should I stop investing in SEO?
No. SEO authority signals feed AI citation decisions. The shift is toward content formatted for AI extraction, not away from content quality.

Which AI platforms should B2B companies prioritise?
ChatGPT, Gemini, Claude, Perplexity, and Google AI Overview each reach different segments of the B2B buyer journey and should be treated as separate surfaces with different content requirements.

How do I know if my visitors are coming from AI tools?
Standard analytics typically under-reports AI referrals. Dedicated de-anonymisation tools can surface company and contact details for these visitors, turning anonymous traffic into identifiable leads.

About Simaia

Simaia is an agentic marketing team built for B2B companies that want to be found by buyers using ChatGPT, Gemini, Claude, Perplexity, and Google AI Overview. Simaia handles both strategy (AI search audits, competitor gap analysis, trusted-source mapping) and execution (content writing, platform placement, press outreach, and lead identification) so founders, sales leaders, and marketing teams do not need to learn, hire for, or operate the AI visibility playbook themselves. For a global textile manufacturer, Simaia grew inbound leads from one every two months to five per month within two months. For a healthcare SaaS company in Australia, it grew AI search visibility from 0% to 45% within 2.5 months. Simaia replaces the need for a separate marketing manager, content writer, SEO consultant, and lead intelligence vendor under one team.

If your Search Console data is telling you that visibility is rising but pipeline is not following, the answer is not more traditional SEO. It is becoming the source that AI models cite. Visit Simaia to learn how we run the full AI visibility playbook for your business.