Google Search Console: AI-Powered Insights Transforming SEO in 2025

Introduction

If you feel like SEO changed overnight, you are not imagining things.

Google’s AI Overviews and AI Mode are now answering a huge chunk of queries directly on the results page, often before anyone sees a classic blue link. Studies show AI Overviews appear for roughly 30% of U.S. desktop keywords, up nearly 5x year over year, and clicks on those queries have dropped by 40-60% depending on the dataset you look at.

For B2B sales and marketing leaders, that is not just an SEO problem. It is a pipeline problem.

The good news: you already have a free, first-party control center for this new world sitting in your stack, Google Search Console. And in 2025, it quietly got a lot smarter.

In this guide, we will unpack how AI-powered insights inside and around Search Console are transforming SEO, and more importantly, how you can use them to feed your SDRs, protect pipeline, and sharpen outbound campaigns. We will stay practical and B2B-focused the entire way.

You will learn:

• What AI Overviews and AI Mode are doing to click behavior and why Search Console is your best window into that shift.
• How new features like the revamped Search Console Insights and AI-driven Query Groups change the way you analyze search demand.
• A step-by-step workflow for turning Search Console data into sales messaging, account targeting, and SDR campaigns.
• How to combine Search Console with AI analytics tools and with partners like SalesHive to scale the impact.

Grab a coffee, let’s turn all that messy search data into something your sales team can actually use.

1. The New SEO Reality in 2025: AI Overviews, Zero-Click, and Why GSC Matters More Than Ever

Search is still where B2B buying starts

Before we get into AI and fancy dashboards, remember why any of this matters.

Recent B2B SEO research shows:

• About 71% of B2B buyers start their journey with a generic search query, not a vendor name.
• B2B websites get roughly 62% of their traffic from organic search.
• 57% of B2B marketers say organic traffic delivers the highest ROI among all marketing channels.

Those numbers come from compilations of BrightEdge, Databox, and Think with Google research on B2B buyer behavior and traffic sources.

Translation: search is still where your future opportunities wake up in the morning.

If you are a VP of Sales or a RevOps leader, Google Search Console is the closest thing you have to a live feed of questions your prospects are asking before they ever hit your pricing page or your SDR sequences.

Enter AI Overviews and AI Mode: visibility without clicks

Here is where things get spicy.

Google’s AI Overviews (what started as Search Generative Experience) now show AI-generated summaries above standard results for a growing share of queries. One large study by seoClarity found AI Overviews show for about 30% of U.S. desktop keywords as of September 2025, up from around 10% just six months earlier.

Multiple independent analyses (Amsive, Seer Interactive, others) now agree on the pattern:

• When AI Overviews appear, organic click-through rates plummet. Some research puts the drop at around 20-40% on non-branded queries; others have measured declines of around 60% for certain informational topics.
• User behavior shifts from “scan results and click” to “read the AI summary and bounce.” Pew and similar behavioral studies have seen only about 8% of users clicking a traditional result when an AI summary appears, versus roughly 15% when it does not.
• Zero-click searches are exploding. Similarweb data shows zero-click share rising from the mid-50s to the high-60s percentage-wise between 2024 and mid-2025.

Put simply: your audience is still searching, but they are clicking less.

How Google Search Console measures AI traffic

From Google’s own documentation on AI features, here is the key detail: impressions and clicks from AI Overviews and AI Mode are currently folded into standard Web data in Search Console. There is no dedicated AI filter in the interface. You just see more impressions and some clicks in your normal reports.

That has three big implications for B2B teams:

1. Impressions can be up while clicks are flat or down. An AI Overview can massively increase exposure for a topic while cannibalizing clicks.
2. Average position may look fine. You can hold a top-three organic position but lose CTR when the AI box appears above you.
3. You have to interpret trends, not just static snapshots. Seeing the before-and-after picture around AI rollout matters more than any one point-in-time metric.

So while AI Overviews are changing how people interact with search results, Search Console is still your best telemetry on what is happening. You just need to read it differently.

2. Inside Google Search Console’s AI-Powered Evolution

Search Console itself is not a shiny generative AI product. It is still a dashboard full of charts and tables. But under the hood and in the surrounding ecosystem, a lot of AI-driven intelligence is creeping in.

The revamped Search Console Insights tab

In mid-2025 Google rolled its Search Console Insights experience directly into the main interface as a new tab, updating the reporting along the way. Instead of a separate beta, Insights now lives alongside your main Performance and Coverage reports.

The updated Insights view focuses on:

• High-level clicks and impressions trends.
• Top-performing and top-growing pages, including Discover traffic.
• Query-level insights that quickly show which searches are leading users to your site.

For a B2B team, think of this as a revenue-intent summary. It is a fast way to see which pieces of content and topics are waking up, without digging into a thousand-row export.

Query Groups: AI-clustered intent at a glance

In late 2025 Google quietly began rolling out a new feature inside Search Console Insights called Query Groups. Instead of a raw list of every query, Google uses AI to cluster similar searches under a single group label.

For example, searches like:

• “sales development outsourcing”
• “outsourced SDR team”
• “b2b appointment setting service”

might all roll up under one group such as “outsourced SDR services”. Each group shows total clicks and impressions, plus a short list of the sample queries in the cluster.

For B2B marketers and sales leaders, this is a big deal:

• You get a fast sense of topic-level intent instead of drowning in keyword variants.
• You can spot which problems (not just phrases) are gaining traction.
• You can click through to the full Performance report with the group pre-filtered for deeper analysis.

Under the hood, this clustering is driven by machine learning models that understand semantic similarity, not just exact string matches. In plain English: Google is doing the heavy lifting of grouping how humans actually talk about their problems.

Third-party AI tools building on Search Console data

On top of Google’s own interface, a growing wave of AI analytics tools are tapping into the Search Console API.

Tools like Narrative BI, for example, connect to your Search Console and automatically generate natural-language “data narratives” about key changes in impressions, clicks, queries, and rankings. Instead of staring at graphs, you get a feed that says things like:

• “Clicks from ‘sales enablement platform’ queries are up 34% week over week.”
• “Your ‘cold email templates’ page lost 18 positions on mobile for core keywords.”

And so on.

For B2B teams with limited analyst headcount, this is where the AI story gets real. You can have an assistant watching your Search Console data 24/7 and summarizing the important stuff, so marketers and SDR leaders can act instead of analyze.

AI Mode and AI features in the Performance report

As mentioned earlier, Google has confirmed that impressions and clicks from AI features like AI Overviews and AI Mode roll into the standard Web search type.

There is no toggle that says “show me just AI traffic”, but you can:

• Monitor specific AI-prone query patterns (longer, more informational phrases).
• Use date comparisons around major AI rollout dates.
• Watch 3-key-metric combos (impressions, CTR, position) for each important query group.

Over time, that lets you infer where AI Overviews are present and how they are affecting your slice of the SERP.

3. Turning GSC AI Insights into B2B Revenue

Now we get into the part sales leaders care about: how do you turn all this nerdy search data into booked meetings and pipeline?

Step 1: Re-segment your query data around revenue intent

Most Search Console users live in a soup of mixed-intent keywords. Some are informational (“what is sales development”), some mid-funnel (“b2b cold email best practices”), some bottom-of-funnel (“SalesHive pricing” or “[competitor] alternative”).

Instead of optimizing everything equally, carve your queries into three buckets:

1. Top-of-funnel education. Problem definitions, how-tos, and broad category searches.
2. Mid-funnel solution discovery. Comparison terms, specific approaches, integration-related queries.
3. Bottom-of-funnel and brand. “[Your company] pricing”, “[competitor] vs [you]”, “[category] vendor”, “outsourced SDR services”, etc.

Use Query Groups and manual tagging to label these. Then layer on CRM data: which landing pages and queries are most present in journeys that end in opportunities or closed-won deals?

This gives you a ranked list of topics where search actually ties to revenue, not just traffic.

Step 2: Map query clusters to offers and SDR talk tracks

For each high-value query group, answer three questions:

1. What problem are buyers signaling here?
2. Which asset or landing page answers it best today?
3. How can an SDR continue that conversation in a call or email?

Example: suppose your Query Group “cold email deliverability” is showing rising impressions but flat clicks and you know deals often touch that topic.

You could:

• Refresh your main deliverability guide to make the title and meta description more compelling and add a mid-funnel CTA like a deliverability assessment.
• Build an outbound sequence focused on prospects at ICP accounts who are heavy on outbound but not yet customers.
• Give SDRs a talk track that opens with data from the guide and a simple hook: “We just saw a spike in search traffic from companies looking for help with cold email landing in spam; that usually means your SDR team is flying blind on deliverability. Here is how we help clients fix that.”

Now Search Console is directly informing both content and outbound.

Step 3: Use AI Overviews data to prioritize brand-led queries

You are not going to “beat” Google’s AI summaries on broad educational queries. That is fine. You do not make money from people asking what SDR means.

Where you can still win big is:

• Branded queries where buyers are already looking for you.
• High-intent solution searches where AI Overviews cite multiple vendors.
• Niche long-tail problems where expert content is still needed.

In Search Console, monitor:

• Branded query impression and CTR trends. If CTR on brand terms is falling, that is a red flag.
• High-intent non-branded query groups that correlate strongly with pipeline. If impressions are up but CTR is down, look at titles, meta descriptions, and on-page CTAs.

You want to own the click whenever someone is close to vendor selection. That might mean:

• Creating comparison pages (“[you] vs [big incumbent]”) that AI Overviews can cite.
• Publishing deep, useful content that reinforces your expertise.
• Running remarketing and outbound to accounts that hit those pages.

Step 4: Feed outbound with Search Console topics every month

Make this simple: once a month, marketing sends sales and SDR leadership a Search Console digest with:

• Top 5 rising Query Groups and what they mean.
• Top 5 pages gaining impressions and whether they are early-, mid-, or late-stage.
• Any significant CTR drops on revenue-critical topics.

For each item, agree on one concrete outbound action:

• A new email subject line or value prop.
• A short sequence targeting accounts that engaged those pages.
• A tweak to your discovery call questions.

Over time, this rhythm keeps your outbound messaging pinned to real buyer language instead of internal brainstorming.

And yes, this is exactly the kind of motion a partner like SalesHive loves, because it gives our SDR teams a clear signal: talk about what the market is already Googling.

4. Building an AI-Ready SEO Dashboard for Sales & Marketing

Spreadsheets are great, but they do not scale once you have thousands of queries and months of data. Here is how to build a lean, AI-enabled reporting setup that sales leadership will actually look at.

Core building blocks

You do not need an enterprise analytics team. At minimum, set up:

• Google Search Console as the source of truth for queries and landing pages.
• Analytics or a CDP (GA4, HubSpot, Segment, etc.) to capture conversions and lead sources.
• CRM (Salesforce, HubSpot, Pipedrive, etc.) to connect leads and opportunities back to content.
• A BI or AI narrative tool (Looker Studio, Power BI, Narrative BI, or similar) to turn exported Search Console data into charts and insights.

Key reports to build

For B2B sales and marketing, skip the vanity dashboards and build these four views:

1. Revenue-intent query report.
• Shows all bottom-of-funnel and high-intent mid-funnel queries.
• Includes impressions, clicks, CTR, average position, and the primary landing page.
• Tagged with “influenced opportunities” and “influenced revenue” based on CRM attribution.

1. Topic-level performance using Query Groups.
• Clusters similar queries into themes like “outsourced SDR”, “sales development playbook”, “cold email deliverability”.
• Rolls up clicks, impressions, and average position by theme.
• Highlights themes with rising impressions but deteriorating CTR.

1. AI-affected queries watchlist.
• Focuses on long-tail, informational, and complex question queries more likely to trigger AI Overviews.
• Tracks changes in impressions and CTR over time.
• Flags when an AI rollout appears to be suppressing clicks.

1. Account engagement overlay.
• Connects Search Console landing pages to account-level visits, where possible.
• Shows which target accounts are engaging with which topics.
• Feeds SDR call lists and ABM campaigns.

Let AI summarize the story for busy leaders

Once you have these basic views, plug an AI layer on top. For example:

• Use a tool like Narrative BI or a custom script with an LLM to read weekly exports and generate a short narrative: biggest winners, biggest losers, and suggested actions.
• Feed that narrative into your RevOps or leadership Slack channel so everyone sees the signal without logging into another dashboard.

The goal is not to automate strategy. It is to automate the grunt work so your human teams can spend their time deciding what to do.

5. A Monthly Search Console Workflow for SDR and Demand Gen Leaders

Let us make this ultra-tactical. Here is a practical monthly cadence you can run in under two hours that keeps SEO and outbound tightly aligned.

Week 1: Pull and review

Marketing pulls last 30 days of:

• Top 100 queries by clicks and impressions.
• Top 50 pages by clicks.
• Top Query Groups from Search Console Insights.

They annotate:

• Which queries and pages are bottom-of-funnel.
• Which ones tie back to closed-won deals in the CRM.
• Any significant movement in impressions, CTR, or position.

Week 2: Align and decide

Marketing and SDR leadership meet for 30-45 minutes to:

1. Review the top 3-5 insights (for example, “queries about SDR outsourcing costs are up 40% month over month”).
2. Agree on 2-3 messaging changes or tests:
• New email subject lines.
• A new objection-handling block for calls.
• A small content update to better align with what people search.
3. Decide if any topics deserve a dedicated outbound sprint (for example, a two-week campaign targeting VP Sales at accounts that visited the “outsourced SDR” page).

Week 3: Execute and enable

SDR leadership or your partner agency translates those decisions into:

• New messaging and scripts in your sales engagement platform.
• Call coaching sessions where reps practice using the new language.
• Alerts for SDRs when target accounts hit high-intent pages.

If you work with SalesHive, this is where our team plugs in: we take the Search Console-informed themes and build or adjust sequences, lists, and call frameworks, then deploy across our US and Philippines-based SDR pods.

Week 4: Measure and refine

At the end of the month, look back:

• Did reply rates or meeting rates move on sequences tied to Search Console topics?
• Did opportunities from organic increase in your CRM?
• Are there new query groups or pages worth testing next month?

This rhythm is not glamorous, but it compounds. Each month you get a little closer to talking like your market thinks, both in search and in sales conversations.

6. Common Pitfalls B2B Teams Hit With Search Console in the AI Era

Let us call out a few landmines you can avoid.

Mistake 1: Obsessing over total clicks and position

When AI Overviews are stealing clicks, raw traffic is a noisy metric. You might see clicks dip even while your visibility improves.

Fix: focus on revenue-intent topics, monitor impressions and CTR together, and always ask “does this query group connect to real opportunities?” before panicking or celebrating.

Mistake 2: Treating Search Console as a marketing-only toy

If sales leadership never sees Search Console data, they will continue writing scripts and cadences in a vacuum.

Fix: give your VP Sales and SDR manager read-only access and a simple, non-technical briefing on how to interpret key reports. Make Search Console a standing agenda item in your monthly revenue meeting.

Mistake 3: Ignoring AI Overviews and AI Mode completely

You do not need to chase AI Overviews for every keyword, but pretending they do not exist is equally dangerous.

Fix: build a small watchlist of AI-prone queries (long questions, complex problems) that matter to your pipeline. Track their impression and CTR patterns in Search Console, then adjust copy, content, and outbound in response.

Mistake 4: Not using AI to help parse the data

Manually combing through Search Console is a time sink. Busy marketing teams end up checking it once a quarter and missing big shifts.

Fix: connect Search Console to an AI or narrative tool that auto-detects anomalies and trends, or use an LLM via your BI tool to summarize weekly changes. Then route those summaries straight to the people who can act.

Mistake 5: Creating content with no plan for sales follow-up

Publishing search-optimized content that ranks is great, but if there is no matching sales motion, you leave money on the table.

Fix: for every high-intent page you create or refresh based on Search Console insights, define the corresponding outbound play: who gets called, what do reps say, which CTA gets used, and how you will measure success.

How This Applies to Your Sales Team

If you are running an SDR team, here is the blunt version of why any of this matters to you.

1. Search Console shows you what prospects really care about. The queries in GSC are not abstract keywords; they are the exact words your future prospects are saying in their heads. Using those words in your outbound gives you instant resonance.

1. AI Overviews change the content of the conversation, not just the click path. Buyers are now reading AI-synthesized summaries before they ever talk to you. If your content is not helping shape those summaries, your reps will walk into calls already behind the narrative.

1. Your best prospects are signaling intent long before they fill out a form. High-intent organic visits to pricing pages, comparison pages, and deep problem-focused guides are early warning signs. If you connect Search Console and web analytics to your CRM, your SDRs can name those problems explicitly on cold calls instead of guessing.

1. There is a compounding effect when SEO and outbound work together. When your content matches what buyers search and your outreach mirrors that language, reply rates go up, call friction goes down, and your entire funnel feels more natural.

From a practical standpoint, a strong Search Console practice gives your SDRs:

• Better openers: “I am reaching out because a lot of sales leaders like you are searching for ways to outsource SDRs without losing control of the process…”
• Better credibility: linking to high-quality resources that already rank instead of pushing generic sales decks.
• Better timing: triggering outreach based on recency of high-intent organic visits.

And if your internal team does not have the bandwidth for any of that, you can hand the insights to a partner like SalesHive and have us do the heavy lifting.

Conclusion + Next Steps

Google’s AI evolution is not the end of SEO; it is just the end of lazy SEO reporting.

Search is still where the majority of B2B buying journeys start, and Google Search Console is still the cleanest window you have into that behavior. What is different in 2025 is how you read and act on that data.

To recap:

• AI Overviews and AI Mode are changing click patterns, but Search Console still captures the underlying demand through impressions and clicks.
• New features like Search Console Insights and AI-driven Query Groups make it easier to see the big topics that matter to your buyers.
• The teams that win will be those that connect Search Console data to outbound: translating query insights into SDR scripts, email campaigns, and account targeting.
• AI analytics tools and specialized partners like SalesHive can help you scale this without building an in-house data science team.

If you do nothing else after reading this, do these three things:

1. Sit down with marketing and ask for a one-page Search Console summary of the last 90 days.
2. Pick one or two high-intent query groups that clearly map to your core offer.
3. Update your outbound messaging and call scripts around those themes for the next month and watch what happens to reply and meeting rates.

The AI wave in search is not slowing down. But with the right use of Google Search Console and a tight partnership between marketing, sales, and your SDR engine, you can ride it instead of getting wiped out.