Google Search isn’t just a page of blue links anymore. Between AI Overviews and AI Mode, more and more searches now surface answers, comparisons and recommendations directly inside the results page — sometimes before a user ever scrolls down to a traditional listing.

That shift raises an uncomfortable question for every business owner and SEO professional: if someone discovers your brand through Google’s AI-powered search experience, how would you actually know? This guide walks through what Google Search Console shows today, what it still can’t isolate, and how to build a sensible tracking routine around it — without guessing.

What Is Google AI Mode?

Google AI Mode is a search experience that lets users type complex, multi-part, conversational questions and get a synthesized, AI-generated response instead of (or alongside) a list of ranked links. It runs on Google’s Gemini models, supports follow-up questions in the same thread, and can accept text, images and voice as input.

It’s related to, but distinct from, AI Overviews — the AI-generated summary box that can appear above traditional results for a regular search. AI Mode is more of a dedicated, chat-like search tab, while AI Overviews sit inside the classic results page. Google groups both under the umbrella of “generative AI features” in its own reporting.

Traditional search still exists and still drives the majority of clicks for most sites — AI Mode hasn’t replaced it. What’s changed is that discovery can now happen in more than one format, and businesses need visibility into all of them.

Why AI Mode Traffic Matters For Businesses

Every business already tracks organic clicks and impressions. AI-powered search adds a new layer worth watching: brand visibility, search queries, branded searches, long-tail and informational queries, local discovery, and — ultimately — conversions that may start inside an AI-generated answer rather than a traditional listing.

Even where AI Mode doesn’t send a click directly, being cited or referenced inside an AI answer can shape whether a user searches your brand name next, visits your site later, or trusts you enough to convert when they land on your page from a normal search.

Can Google Search Console Track Google AI Mode Traffic?

This is the section most guides get wrong, so let’s be precise about what’s actually in the product today.

On 3 June 2026, Google introduced dedicated Search Generative AI performance reports inside Search Console, under Performance → Generative AI. For the first time, this gives site owners a separated view of how often their pages appeared within generative AI features on Search — including AI Overviews and AI Mode — instead of having that data folded silently into the standard Performance report. You can read Google’s own announcement on the Search Central Blog.

Here’s what that new report currently covers, and — just as important — what it leaves out:

One more nuance worth knowing: Google has confirmed that generative AI impressions were always folded into your overall Performance totals — this report doesn’t change your aggregate numbers, it just gives you a dedicated lens on a slice of them that used to be invisible. For general guidance on reading Search Console data, Google’s own Search Console Help documentation is the most reliable reference to bookmark, since reporting features here continue to evolve.

It’s also worth stating plainly: Search Console only measures Google Search. Traffic arriving from ChatGPT, Perplexity, Microsoft Copilot, Claude, or the standalone Gemini app is referral traffic from those platforms and needs to be tracked separately in an analytics tool like GA4 — Search Console has no visibility into it at all.

How To Check AI-Related Search Performance

Until the Generative AI report is fully rolled out to your property, or even alongside it, the standard Performance report is still your main working tool. Search Console reports the following core metrics, each useful for a different part of the picture:

None of these fields carry an explicit “AI Mode” label in the standard report. What they can do is help you spot behavioural shifts — new query shapes, unusual click patterns — that are worth investigating further, which is exactly what the next two sections walk through.

Step-by-Step: How To Monitor AI-Related Search Performance

1. Open Google Search Console and sign in with the account connected to your property.
2. Select your website property from the dropdown at the top left — make sure you’re looking at the correct domain, especially if you manage multiple properties or subdomains.
3. Open the Search Results performance report from the left-hand Performance menu. This is where total clicks, total impressions, average CTR and average position all live, plotted over your chosen date range.
4. Analyse your search queries in the table beneath the chart. Look specifically for long-tail phrases, conversational or question-based searches (“what’s the best way to…”, “how do I…”), problem-solving queries, commercial-intent terms, and branded searches.
5. Compare date ranges using the built-in comparison tool to see how impressions, clicks, CTR and overall visibility have shifted period over period — this is where genuine trend changes become visible.
6. Segment your data using the available filters: query, page, country, device, and search appearance where applicable. Segmenting narrows down exactly which pages or query types are moving.
7. Export your data to a spreadsheet or BI tool for deeper trend analysis, especially if you’re tracking changes across many pages or comparing multiple months side by side.

Metrics You Should Monitor

How To Identify Possible AI Search Trends

Search Console doesn’t hand you a simple “this click came from AI Mode” label outside the new impressions-only report, so the practical approach is pattern recognition, not assumption. Watch for:

• A rise in conversational, multi-part queries
• Noticeably longer search phrases than you’ve historically seen
• More question-based searches (“how”, “why”, “what’s the difference between”)
• New informational queries appearing for pages that previously only ranked for transactional terms
• Growth in branded searches following a period of content publication
• CTR changes despite stable rankings — a signal that how a result is being consumed may have shifted
• New pages picking up impressions with no obvious ranking-based explanation
• Growth in topical or semantically related queries clustering around one page

How AI Mode Changes SEO

Traditional SEO — keyword targeting, rankings, backlinks, technical SEO, on-page optimisation — hasn’t gone away. But AI-powered search rewards a few things more heavily than before: topical authority, genuinely helpful content, clear and direct answers, strong entity understanding, structured information, solid internal linking, first-hand expertise, and content that matches how people actually phrase conversational search intent, including local relevance for location-based queries.

This broader discipline is often described as AI SEO or generative search optimisation — not a replacement for traditional SEO, but an extension of it. Our team covers this in more depth in our AI SEO services, which pairs traditional ranking work with visibility inside AI-powered search experiences.

If your strategy still leans entirely on exact-match keyword targeting, it’s worth revisiting your core SEO optimisation approach alongside GEO/AEO-specific tactics, which our GEO / AEO services page walks through in more detail.

AI SEO Checklist

• Identify conversational search queries in your Performance report
• Review Search Console’s Generative AI report where available
• Analyse long-tail keyword trends month over month
• Improve topical coverage across related pages
• Strengthen internal linking between related content
• Create clear, direct, genuinely useful answers on key pages
• Optimise your most important landing pages first
• Improve local SEO signals if location matters to your business
• Monitor branded search volume over time
• Track conversions, not just visibility
• Review performance on a regular, repeatable cadence

7 Mistakes Businesses Make When Tracking AI Search

1. Assuming all new traffic is AI traffic. Plenty of query and traffic shifts have nothing to do with AI Mode — seasonality, algorithm updates and content refreshes all move the needle too.
2. Looking only at rankings. A page can rank well and still lose visibility inside AI-generated answers, or vice versa.
3. Ignoring impressions. Clicks get all the attention, but impression trends often show a shift before clicks do.
4. Ignoring long-tail queries. These are frequently where conversational, AI-style search behaviour shows up first.
5. Not analysing landing pages. Knowing which pages actually absorb new query types tells you where to focus content work.
6. Not tracking conversions. Visibility without a link to leads or sales is a vanity metric.
7. Treating AI SEO as a replacement for traditional SEO. It’s additive, not a swap — both disciplines still matter.

How To Optimise For Google AI Search

There’s no way to guarantee inclusion in AI-generated results, but the following practices consistently improve your odds:

• Write genuinely useful, first-hand content rather than surface-level summaries
• Answer the core question directly, early in the page
• Build topical authority by covering a subject thoroughly, not just one keyword at a time
• Use clear, descriptive headings that map to how people actually ask questions
• Add relevant internal links between related pages
• Prioritise optimisation on your highest-value landing pages
• Strengthen local SEO signals if your business depends on nearby customers — see our local SEO services for a deeper walkthrough
• Demonstrate real expertise and keep information accurate and current
• Keep technical SEO fundamentals solid — speed, crawlability, structured data
• Write for people first, in language that’s easy for both users and search systems to understand

FAQs

Final Takeaway

AI search is genuinely changing how people discover information — but measurement still matters just as much as it always has. Search Console now gives you a real, if still limited, window into generative AI visibility, and pairing it with pattern recognition, analytics and conversion data gets you a much clearer picture than rankings alone ever did.

Stop optimising for visibility as an end in itself. The chain that actually matters is visibility → search intent → traffic → engagement → conversions — and every part of it is measurable if you build the right tracking habits now.