The Search Console AI Performance Report: What It Shows and What It Hides

Google’s Search Console AI performance report finally gives marketers first-party visibility into how often their websites appear in AI Overviews and AI Mode. But it is primarily a visibility report, not a complete traffic or attribution report. You can see AI impressions by page, country, device and date, but not the queries, clicks, CTR or individual AI feature responsible for those impressions.

That distinction matters.

For years, SEO teams measured search performance around a fairly simple path:

Query → Ranking → Impression → Click → Session → Conversion

AI search changes the middle of that journey.

A buyer can now ask Google a complex question, read an AI-generated answer, see your company or content referenced and continue researching without clicking your website at all.

The new report gives us a better view of the first part of that journey.

It still leaves large parts of the commercial journey invisible.

Quick Answer: What Does the Search Console AI Performance Report Show?

The Search Console AI performance report shows how many times links from your website appeared within supported generative AI experiences on Google Search.

As of August 31, 2026, Google says these insights have been rolled out worldwide. The Search report currently covers:

• AI Overviews
• AI Mode

Google also has a separate generative AI performance report for Discover. Search Labs experiments are not included.

For Search, you can analyse AI impressions across:

• Pages
• Countries
• Devices
• Dates
• Search type, including text-based web search and multimodal web search

Google added multimodal reporting in September 2026, covering experiences such as Google Lens, Circle to Search, uploaded-image searches and Chrome image search.

What you cannot currently see is just as important.

Question	Search Console AI report answers it?
Are our pages appearing in Google generative AI results?	Yes
Which pages receive the most AI impressions?	Yes
Which countries generate those impressions?	Yes
Are users finding us through mobile or desktop?	Yes
How is AI visibility changing over time?	Yes
Which query triggered the AI appearance?	No
Was the impression from AI Overview or AI Mode?	No
How many AI impressions produced clicks?	No
What is the AI-specific CTR?	No
Where was our citation positioned inside the answer?	No
What text did Google cite from our page?	No
Did the AI interaction influence a lead or opportunity?	No
Does the report show ChatGPT or Perplexity visibility?	No

The practical takeaway is simple: Search Console now tells you much more about Google AI visibility, but it still does not provide complete AI search attribution.

Why Google’s Generative AI Report Matters

Before this report, marketers had a measurement problem.

AI Overviews and AI Mode activity was already part of Google Search behaviour, but separating generative AI exposure from standard web search was extremely difficult.

Google confirms that the generative AI report uses data already included within the Web search type of the normal Search Performance report.

That means you should not add your generative AI impressions to your standard Web impressions and treat the result as additional exposure.

You would risk counting the same visibility twice.

What has changed is segmentation.

Search Console can now answer a question that was previously difficult to answer with first-party Google data:

Which pages on our website are actually being surfaced inside Google’s generative search experiences?

For B2B teams investing in AI search optimization, that is an important signal.

It moves AI visibility measurement away from occasional manual searches and towards trend analysis based on Google’s own reporting.

But visibility should not be confused with business impact.

What Counts as an AI Impression?

An AI impression occurs when a link from your property is shown to a user within a supported generative AI feature.

Google applies its normal Search Console impression methodology to AI Overviews and AI Mode.

There are a few details worth understanding.

AI Overview impressions

An AI Overview occupies a single position in Google Search results. Google states that links within the AI Overview are assigned that same position for standard Search Console position measurement.

However, the dedicated generative AI report itself focuses on impressions rather than showing AI-specific position data.

AI Mode impressions

AI Mode allows users to continue a conversation through follow-up questions.

Google treats each follow-up as a new query for measurement purposes. Any impressions, positions or clicks created by that new response are associated with the new query.

This makes AI search behaviour fundamentally different from a traditional one-query, one-results-page session.

A buyer might begin with:

“Best demand generation strategies for enterprise SaaS”

Then continue with:

“Which of these work for a company selling to CFOs?”

And then:

“How should I measure results?”

One research session can create several separate search interactions.

That is useful visibility.

But Search Console does not currently give marketers the full conversational path.

What the Search Console AI Performance Report Shows Well

The report becomes much more useful when you stop expecting it to behave like a traditional traffic report.

Its strongest use is identifying AI visibility patterns.

1. Which pages are becoming AI-visible

The Pages dimension can show which URLs receive the most impressions inside supported generative AI experiences.

This can reveal something traditional ranking reports often miss.

The content receiving AI visibility may not always be the content generating the most organic clicks.

You may find:

• Educational guides receiving strong AI exposure
• Comparison pages appearing frequently
• Technical resources outperforming product pages
• Older pages unexpectedly gaining AI visibility
• Pages with moderate traditional organic traffic earning significant generative exposure

Those pages deserve closer analysis.

Ask why Google considers them useful enough to surface within generated answers.

Look at their structure, evidence, topical depth, clarity and relationship with other pages on the site.

2. Whether AI visibility is growing

The Date dimension lets you monitor generative AI impressions over time.

Instead of asking:

“Are we showing up in AI?”

you can start asking:

“Is our AI search visibility expanding month over month?”

That is a much better question.

A single citation screenshot tells you very little.

Consistent exposure over hundreds or thousands of searches provides a stronger signal that Google associates your website with the subject.

3. Which markets generate visibility

Country-level reporting is particularly useful for B2B companies entering new markets.

Imagine an Indian SaaS company planning to expand into the UK and United States.

If US generative AI impressions begin growing before US organic traffic grows materially, that may indicate increasing discovery in that market.

It does not prove pipeline impact.

But it gives the marketing team a new leading indicator to investigate.

4. Which devices dominate AI discovery

Device segmentation can highlight differences between mobile and desktop AI visibility.

For B2B companies, this becomes more useful when combined with CRM and analytics data.

If AI exposure is primarily mobile but high-value website conversions remain desktop-heavy, the role of AI may be earlier in the research journey rather than at the final conversion point.

5. Text search versus multimodal search

Google now allows generative AI performance to be filtered between text-based web search and multimodal web search.

Multimodal searches include image-led discovery through products such as Google Lens and Circle to Search.

For many B2B firms, text search will remain the immediate priority.

But sectors involving physical products, manufacturing components, equipment, architecture, ecommerce and visual workflows should pay attention to multimodal discovery.

Search is increasingly becoming more than typed keywords.

What the Search Console AI Performance Report Hides

This is where reporting becomes more complicated.

The report provides valuable visibility data, but several questions that revenue teams actually care about remain unanswered.

1. You Cannot See the Search Queries

This may be the biggest limitation.

The dedicated generative AI report lets you group results by page, country, date and device, but Google does not provide a Queries dimension in that report.

So you may know:

/enterprise-demand-generation-guide/ received 20,000 generative AI impressions.

But you do not know whether users were asking:

• What is enterprise demand generation?
• Best B2B demand generation agencies
• How to generate enterprise SaaS pipeline
• Demand generation vs lead generation
• How much should B2B companies spend on demand generation?

Those queries represent very different commercial intent.

That makes raw impression volume difficult to interpret.

Ten thousand informational impressions may be less commercially important than 500 appearances against high-intent category or vendor-comparison searches.

This is why AI visibility should never be evaluated on impression growth alone.

2. AI Overview and AI Mode Data Is Combined

Google says the Search report covers both AI Overviews and AI Mode.

The report currently does not provide a dimension that separates the two.

That creates another attribution gap.

AI Overviews appear within conventional Google result pages.

AI Mode is a more conversational search experience.

The buyer behaviour in each environment can be different.

But if generative impressions increase, you cannot use this report alone to determine which feature caused the change.

3. The Dedicated Report Does Not Show Clicks

This is the limitation most marketers will notice immediately.

Google’s report documentation describes the metric shown in the generative AI report as impressions and the chart displays total impressions for the selected period.

There is no dedicated AI click metric.

That means you cannot directly calculate:

AI CTR = AI clicks ÷ AI impressions

inside this report.

This makes the Search Console AI performance report better suited to measuring visibility than traffic acquisition.

4. You Cannot See Citation Placement

Being referenced somewhere inside an AI answer is not the same as being prominently recommended.

A citation could appear:

• Near the beginning of an AI response
• Beside an important recommendation
• Inside an expandable section
• In a carousel of supporting sources
• Deep within a long answer
• As one source among several alternatives

Search Console does not explain that context.

Two pages can therefore receive an impression while having very different levels of practical visibility.

5. You Cannot See the Answer Around Your Citation

Marketers also need to know why their content was selected.

Did Google reference:

• A statistic?
• A definition?
• A product comparison?
• A methodology?
• A company description?
• A technical explanation?
• A recommendation?

Search Console does not show the generated answer or the exact passage connected with your appearance.

That limits its usefulness for content-level diagnosis.

If you want to improve Google AI Overviews visibility, impression data should therefore be paired with manual SERP analysis and broader citation monitoring.

6. It Does Not Measure Other AI Platforms

The Google Search Console generative AI report is exactly what the name suggests.

It measures supported generative AI experiences within Google.

It does not report whether your company appears in:

• ChatGPT
• Perplexity
• Claude
• Microsoft Copilot
• Other independent AI assistants

This is an important distinction for anyone building an AI search reporting dashboard.

Google AI visibility and total AI visibility are not the same metric.

A company could improve substantially in ChatGPT and Perplexity while its Google generative impressions remain unchanged.

The reverse can also happen.

7. It Cannot Tell You Whether AI Visibility Generated Revenue

This is the biggest business limitation.

Search Console ends well before the CRM.

It cannot tell you whether somebody:

1. Saw your company in an AI answer
2. Remembered your brand
3. Visited your website later
4. Returned through branded search
5. Filled out a form
6. Booked a meeting
7. Became an opportunity
8. Closed

For B2B companies with long buying journeys, AI influence may happen days or weeks before conversion.

That means last-click analytics can understate the value of AI discovery.

A Better Way to Measure AI Search Performance

The answer is not to abandon Search Console.

It is to give every measurement system the right job.

A useful AI search reporting model has four layers.

Measurement Layer	What It Answers	Example Data
Visibility	Are AI systems surfacing us?	AI impressions, citations, mentions
Traffic	Are people visiting us?	Sessions, referral traffic, landing pages
Demand	Is awareness increasing?	Branded search, direct traffic, assisted conversions
Revenue	Is AI discovery influencing pipeline?	Leads, meetings, opportunities, revenue

This is an educational measurement framework, not an attribution model provided by Google.

Layer 1: Measure visibility

Start with the Search Console generative AI report.

Track:

• Total AI impressions
• AI impressions by page
• AI impressions by country
• AI impressions by device
• AI visibility trends over time

Then monitor other relevant AI platforms separately.

The goal is to understand where your company is being surfaced.

Layer 2: Measure actual website traffic

Use your analytics platform to study traffic that does reach your website.

Look at:

• Referral sources
• Landing pages
• New versus returning users
• Engagement
• Conversion events

Be careful with attribution.

Not every AI-influenced visit will arrive with a neat source label identifying the AI platform.

Some journeys will appear through branded organic search, direct traffic or another return channel.

Layer 3: Measure demand signals

This layer is often ignored.

If your company becomes more visible inside AI-generated answers, you may eventually see changes in:

• Brand-name searches
• Product-name searches
• Direct traffic
• Demo requests mentioning research
• Branded comparison searches
• Sales conversations referencing AI tools

These signals do not automatically prove causation.

But together, they can reveal patterns that click-only reporting misses.

This broader view fits how Growleads approaches Inbound Intelligence: search visibility matters most when it can eventually be connected to buyer intent, qualified pipeline and revenue, rather than treated as another isolated marketing metric.

Layer 4: Connect visibility with CRM outcomes

For B2B teams, CRM data closes the loop.

Consider adding a simple question to high-value lead qualification:

“How did you first hear about us?”

Allow answers such as:

• Google Search
• ChatGPT
• Google AI Overview
• AI Mode
• Perplexity
• LinkedIn
• Referral
• Other

Self-reported attribution is imperfect.

But when combined with Search Console, analytics and CRM data, it becomes much more useful.

The AI Search Reporting Dashboard B2B Teams Actually Need

A practical dashboard should avoid pretending there is one perfect AI metric.

Instead, organise reporting around business questions.

AI visibility

Track:

• Google generative AI impressions
• Number of pages receiving AI impressions
• AI impressions by strategic market
• AI citation frequency on priority topics
• Visibility across non-Google AI platforms where measurable

Website behaviour

Track:

• AI referral sessions
• Landing pages
• Engagement
• Conversion rate
• Assisted conversions

Brand demand

Track:

• Branded search impressions
• Branded search clicks
• Direct traffic
• Branded product searches
• Brand mentions in inbound enquiries

Commercial outcomes

Track:

• Leads influenced by AI discovery
• Qualified meetings
• Opportunities
• Pipeline value
• Closed revenue

The further down the list you go, the harder attribution becomes.

But the numbers also become more commercially meaningful.

How to Use the Search Console AI Report Week to Week

A complicated reporting process usually gets abandoned.

A better routine is simple.

Weekly

Check:

1. Did total generative AI impressions rise or fall?
2. Which pages gained the most impressions?
3. Which pages lost visibility?
4. Did any new pages begin receiving AI impressions?
5. Did visibility change in priority countries?

Do not rewrite content because of one bad week.

Look for sustained patterns.

Monthly

Compare:

• AI-visible pages versus non-AI-visible pages
• AI impressions versus standard search impressions
• AI visibility versus branded search demand
• High AI visibility pages versus conversion performance
• Country-level AI visibility versus target markets

Then select a small number of pages for deeper analysis.

Quarterly

Look at the bigger commercial picture:

• Is AI visibility growing around strategically important topics?
• Are more bottom-of-funnel pages becoming visible?
• Is branded demand growing?
• Are prospects reporting AI platforms as discovery channels?
• Is AI-assisted pipeline becoming measurable?

This prevents the team from optimizing for a graph simply because the graph exists.

Common Mistakes When Reading Google Search Console AI Mode Data

Mistake 1: Treating every impression as equal

An informational citation and a category recommendation can both generate an impression.

Their business value may be completely different.

Mistake 2: Adding AI impressions to normal Web impressions

Google says generative AI Search data is already included in the Web search type of the standard Performance report.

Adding the numbers together can therefore create double counting.

Mistake 3: Judging AI performance only by website clicks

AI experiences can influence research without producing an immediate click.

Clicks still matter.

They are simply no longer the whole story.

Mistake 4: Tracking only Google

Google is one major AI discovery environment, but it is not the entire ecosystem.

Buyer research increasingly happens across multiple assistants and search experiences.

The broader shift in how AI is changing B2B demand generation is why marketers need to think beyond a single acquisition channel.

Mistake 5: Chasing AI impressions with low-value content

More visibility is not automatically better visibility.

For B2B marketers, appearing around commercially meaningful questions is usually more valuable than accumulating impressions across loosely related informational topics.

The goal is not simply to become visible to AI.

The goal is to become visible when the right buyer is researching the right problem.

What Should B2B Teams Do Next?

Use the Search Console AI performance report as a new source of evidence, not a complete measurement system.

First, establish your baseline.

Identify which pages already receive generative AI impressions and which markets generate that exposure.

Next, map those pages to commercial relevance.

Ask:

• What problem does this page solve?
• Which buyer would care about it?
• Where does it sit in the buying journey?
• Does it support an important product, service or category?
• Does AI visibility on this page have a realistic path to revenue?

Then expand measurement beyond Search Console.

Track AI citations, referral traffic, branded demand, CRM source data and pipeline.

AI visibility reporting is still developing quickly. Google’s generative AI report is a meaningful step forward because marketers finally have first-party evidence of exposure inside AI Overviews and AI Mode.

But impressions are the beginning of the measurement conversation, not the end.

For revenue teams, the useful question is not:

“How many AI impressions did we get?”

It is:

“Are the right buyers discovering and remembering us during AI-assisted research, and is that visibility creating measurable demand?”

That is the number worth working towards.

Frequently Asked Questions

Does Google Search Console show AI Overview traffic?

Google Search Console now provides a dedicated generative AI performance report showing impressions from AI Overviews and AI Mode. The dedicated report does not currently provide AI-specific clicks or CTR.

Can I see which queries triggered an AI Overview?

Not in the dedicated generative AI performance report. Google currently provides page, country, date and device dimensions, but no Queries dimension.

Does Google Search Console show AI Mode data?

Yes. Google states that the generative AI Search report includes impressions from both AI Overviews and AI Mode. The two features are not currently separated into individual reporting dimensions.

Can I track AI Overview clicks in Search Console?

Not separately through the dedicated generative AI performance report. Google’s standard measurement documentation confirms that clicks on external links within AI Overviews and AI Mode can count as Search clicks, but the dedicated generative AI report itself displays impressions rather than an AI-specific click metric.

Are AI Overview impressions already included in normal Search Console data?

Yes. Google says the generative AI performance report includes data from the Web search type in the standard Search results Performance report. You should therefore avoid simply adding both impression totals together.

Does Search Console report ChatGPT or Perplexity visibility?

No. Search Console’s generative AI report covers supported Google experiences. ChatGPT, Perplexity, Claude and other independent AI platforms require separate monitoring.

What is the most useful Search Console AI metric?

For the dedicated report, the most useful metric is usually AI impressions viewed in context. Break impressions down by page, market, device and time, then evaluate whether the visible pages are strategically relevant to your business.

How should companies track AI search performance?

Companies should combine Google generative AI impressions with AI citation monitoring, analytics, branded-search trends, self-reported attribution and CRM outcomes. No single metric currently provides a complete view of AI-assisted buyer journeys.