Sanjay Bhattacharya

AI Overviews Not Driving Results? Here’s Why and What You Need To Do

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Search visibility is not the same as traffic. 

Everyone is chasing AI Overviews like they are the new position one, but the data tells a different story. 

Across thousands of queries and dozens of tested SERPs, AI Overview citations rarely drive the clicks we expect. 

They are visibility tokens, not traffic engines. 

If you want real leads, you still need to win the top 3 organic blue links and adopt a broader SearchSync 360 Visibility Framework that covers Google, AI, voice, social, and video discovery.

The Numbers Tell a Story Most SEOs Don’t Want to Hear

Across more than 20,000 search queries from industries like:

  • Automotive repair

  • Ecommerce

  • Education

  • Fitness

  • Healthcare

  • Manufacturing

  • SaaS

…AI Overview citations rarely outperform even the lower blue links on the page.

Then, I drilled into over 100 AI Overview-specific SERPs between February and July 2025. I compared:

  • Where a site appeared in the AI Overview

  • Where the same site ranked in traditional results

  • Impressions, CTR, and clicks for both

And to avoid bloated numbers, I only counted the first appearance of a site in the Overview. No duplicates. No inflated CTRs.

Here’s what came out of that exercise:

Placement Type Expected Click Behavior
Top 3 Blue Links Still unmatched. Still, the real money.
Position 4-6 Blue Links Moderate, predictable decay but still real clicks.
AI Overview Rank 1 Roughly equivalent to Position 6 in blue links.
AI Overview Rank 3+ Almost invisible. CTR falls off a cliff.

Let that sink in.

Your “featured citation” in an AI Overview often performs worse than a link halfway down the page.

So the whole “win AI Overviews = win the SERP” narrative? 

It looks like a myth to me for now, or at least for the next few years, until this becomes a norm for the audience to accept it as a legitimate search result answer.

However, I see many agencies trying to repackage old SEO work with a new label. They need to focus on a search everywhere strategy.

Why Aren’t AI Overview Citations Driving Clicks?

It’s not just low CTR. It’s structural. The problem is baked into the UI.

Let me break it down.

1. Users Are Getting Their Answers On-Screen, Not On-Site

We’ve been fighting zero-click searches for years. Featured Snippets. People Also Ask. Instant Answers. AI Overviews are just another layer of Google saying:

“Thanks for your content. We’ll answer the user directly from it so they don’t have to leave.”

Most users are unaware that citations appear below the generated text. They read the AI summary and move on. They're satisfied. Or at least satisfied enough not to click.

2. The Brand Mention Is Basically a Footnote

In a blue link, your title is a headline. Your meta description is a pitch. Your name has presence.

In AI Overviews? Your brand is a grey hyperlink buried beneath AI text. You’re a source reference, not a destination. A citation is not a CTA.

If you’re counting on brand recall from that tiny mention, good luck.

3. Position Inflation Is Real

Calling something “Position 1” inside an AI Overview is misleading. It doesn’t carry the same authority as Position 1 in organic blue links.

Why? Because before users even reach your citation, they scroll past:

  • Sponsored ads

  • Sitelinks

  • Video carousels

  • Map packs

  • “Discussions” or Reddit snippets

In other words, AI Overviews are not “top of the SERP.” They’re just somewhere near the top, competing for oxygen in an overcrowded landing zone.

The CTR Curve for AI Overviews Is Brutal

Let me be very clear. In traditional blue links, users scan several results before clicking. Positions 1-5 still receive decent click distributions.

In AI Overviews, that curve doesn’t slope. It drops.

By the time a citation hits the fourth or fifth spot in the Overview, the link might as well be invisible. Users aren’t scrolling horizontally. They aren’t expanding those accordions. They’re not exploring. They’re glancing, reading, and bouncing.

If you’re thinking, “Well, at least I’m in there,” you’re already losing.

But Wait, isn’t It Still Good for Brand Authority?

Let’s be fair. There is some value in being cited.

It signals credibility. It supports long-term brand familiarity. It may even feed future LLM bias when models decide which domains to consider “trusted sources.”

So yes, AI Overviews are visibility assets. They are not traffic generators.

And that distinction is where most SEOs get it wrong.

If You’re Reporting AI Overview Wins to Leadership, Be Careful

I’m already seeing teams report AI Overview placements as “Position 1 Wins.” They slap screenshots into decks. They celebrate visibility spikes. They imply that traffic has increased because search presence has increased.

That’s dangerous. It sets false expectations.

If your CFO sees “Position 1” next to your domain, they’re thinking:

“Where’s the spike in revenue?”

And if you don’t have an answer beyond “Well, technically it’s more of an upper-funnel awareness mechanism…”, you’ve already lost credibility.

Visibility ≠ Traffic
Authority ≠ ROI
Position ≠ Intent

If you don’t internalize that now, you’ll get squeezed later.

So What Should SEOs Actually Be Doing About This?

Let’s not overreact. AI Overviews are not evil. They’re not useless. They’re not going away.

But they cannot replace traditional rankings. And they shouldn’t be prioritized like they can. 

I have recently coined a search strategy called the SearchSync360 Visibility Framework™, which involves searching everywhere.

Here’s how I see it:

  • Optimize for AI Overviews, but don’t design your whole content strategy around them. You need a framework that builds visibility across Google, AI tools, voice, and social platforms to turn searches into leads that matter.

  • Use AI overviews as secondary wins, not primary KPIs.

  • Fight harder than ever for Top 3 blue link positions. Those are still where real users with real intent actually click.

If you’re building dashboards that put AI Overview citations on the same level as organic rankings, you’re misleading your stakeholders, or yourself.

How to Actually Land AI Overview Citations Without Losing Focus

From my own testing across multiple industries, here’s what works best:

1. Treat AI Overview Optimization Like “Answer Capsule” SEO

The same tactics that worked for Featured Snippets and People Also Ask still apply — but with more discipline.

  • Target high-volume FAQs related to your topic

  • Place tight, authoritative answer capsules right after H2s or H3s

  • Keep these capsules under 200 characters

  • Never include external links inside that block, don’t tell Google someone else is more trustworthy

  • Follow up with deeper context below the capsule

Think of it like writing a micro-meta-description inside your article. Something quotable. Clean. Self-contained.

2. Use Structured Markup Where It Makes Sense

Not everything needs a schema. But FAQ, How-To, Product, Medical, Local Business, these are still signals that help AI classify your content.

3. Read Your Content Like a User and not like a Ranking Tool

You won’t believe it, but I have been saying this and implementing this for the last decade for all my client projects, and it hasn’t let me down yet. Most AI Overview citations come from clear writing, not keyword stuffing. If your language is robotic or overly SEO’d, you’ll lose. AI doesn’t pick awkward sentences.

Write like a human. Then optimize. 

Top 3 Blue Links Still Beat Everything

After all this research, I landed on the simplest possible conclusion:

If you want real traffic, aim to rank in the Top 3 organic search results.

Every algorithm shift. Every new UI. Every distraction Google adds to the SERP. It all leads back to human behavior.

Users still scroll past the noise until they hit trusted, established, clickable links.

They don’t fully trust AI-generated summaries yet. They don’t always trust ads. They still trust real websites.

I’ve seen AI Overview Rank 1 citations deliver 10% the clicks of an organic Rank 2.

That’s not a coincidence.

It’s intent at work.

So Here’s the Strategic Reset:

Stop thinking of AI Overviews as replacements for organic ranking.

Think of them as billboards. Nice if they’re there. But not the destination.

And if you're going to brag about visibility, be ready to justify why visibility didn’t turn into measurable action.

Building Strategic Positioning for the AI Search Era

This is where my SearchSync360 Visibility Framework™ comes in!

One Framework. Every Search. Real Growth.

You need to focus on a unified strategy that connects your brand’s visibility across Search Engines, AI Tools, Social Platforms, Video, and Voice, ensuring you’re found everywhere your audience looks.

Framework Highlights:

  • Optimized for AI chat tools and voice assistants
  • Local + global SEO strategies for real lead generation
  • Structured data, backlinks, speed optimization
  • Cross-platform consistency: web, video, social
  • Conversion tracking that closes the loop

AI overviews in 2025 & beyond

The smart move for you, and for me as your AI strategist, is to establish a presence before everyone else does, and ensure we build that presence everywhere via a SearchSync360 Visibility Framework.

Here’s why:

User Behavior Evolves Gradually
When Featured Snippets first launched, many ignored them. Now, many users start reading Google’s answer box before scanning links. 

Over time, trust shifts from blue links to synthesized answers. The same shift can happen with AI Overviews. 

As audiences grow more comfortable, they may click them more often.

Early Brand Seeding Matters
Being cited now, even with low CTR, means you get “impression credits” in AI’s memory. As models learn from which citations get referenced over time (or get clicked occasionally), your domain has more “weight” when future summaries are generated.

Position vs. Preparedness
You can’t wait until the format becomes dominant. You need to prepare your brand, content architecture, and SEO muscle so when AI Overviews and other synthetic SERP features dominate, you already have recognized, trustworthy citations.

The Trust Transition
Initially, users will click blue links more. Later, as the AI mode becomes more polished and transparent, people will click within the AI result more or use AI summaries as navigational anchors. At that moment, the brands already cited will win disproportionately.

So yes, your skepticism is valid today. But your optimism is justified for tomorrow.

How to Measure & Value AI Overviews Over Time

Because AI Overviews aren’t traffic engines yet, you need new lenses for ROI. Here’s how:

Metric Short-Term (First 6–12 months) Medium-Term (12–24 months) Long-Term (24+ months)
Citations / Mentions Baseline count of times your domain is cited in AI Overviews Growth rate of citations month to month Dominance over competitors in your niche
Share of Voice in AI Summaries % of AI Overviews in your topics citing you Compare vs peers & track decline/growth Leadership position in AI answer space
Assisted Brand Queries Increase in branded searches after AI visibility Track patterns of users who click later on the brand name Channel attribution shift – organic, direct, branded
CTR Trend in AI Context Initial CTR per citation spot Monitor upward drift over time Compare with organic CTR — when parity begins
Voice / Semantic Footprint Topics and entities you're tied to Expand into adjacent topic areas as AI cites you Authority surface used by AI across multiple verticals
Engagement After Click Pages visited, session depth after AI-driven clicks Monitor bounce vs qualified traffic from AI clicks Ideal: AI citations driving loyal visits & conversions

Use these as your dashboard. Don’t drop them for vanity metrics like “# of AI wins this week.”

Step-by-Step: How We Should Build Your AI Search Positioning

Here’s a blueprint of how I’d execute this as your AI Strategist (and why Primotech is uniquely positioned to do it globally):

1. Topic & Query Landscape Mapping

  • Mine queries already triggering AI Overviews in your vertical

  • Cluster by semantic similarity and intent

  • Map which competitors are getting those citations

  • Identify “white space” where AI Overviews exist but credible domains are absent

2. Capsule Creation & Embedding Strategy

  • For every target query, draft a 120–180 character “answer capsule”

  • Embed just below H2/H3 — clean, self-contained, human voice

  • Use minimal linking in that capsule block

  • Validate via log analysis: which capsules are cited, and how often

3. Depth Layers That Follow

  • Extend beyond the capsule: deeper content that supports arguments, gives proof, provides nuance

  • Use supporting visuals, tables, data, examples — content depth still matters

  • Link internally to build context and semantic weight

4. Structural & Schema Signaling

  • Use FAQ, Q&A, HowTo schema where relevant

  • Use entity markup, knowledge graph hints

  • Use internal linking to anchor your domain as a subject hub

5. Competitive Citation Monitoring

  • Every week or month, monitor who is cited for which query

  • Track movement: new entrants, shifts, what types of content they used

  • Reverse-engineer what capsules / formatting got them cited

6. CTR & Trend Tracking

  • Use Search Console + log data to monitor CTRs from AI citations

  • Track drift over time — month to month, year to year

  • Compare launch period vs mature period — expect upward drift

7. Integration with Traditional SEO

  • Don’t abandon link building, technical SEO, content depth

  • Rather, use those strengths to support your AI SEO efforts

  • And defend blue link rankings while AI positioning builds

8. Stakeholder Education & Reporting

  • Reports for CMO / CEO / boards: show visibility + trend + assisted influence

  • Don’t conflate AI visibility with direct traffic

  • Show multi-touch paths: how AI exposure leads to later branded search or direct visits

Why Sanjay Bhattacharya & You Are the Right Partners for This

You might ask, “Why come to you for this, instead of an SEO agency?” Here’s how I’d frame it:

Technical & AI Expertise in Our DNA
Proven experience leading marketing and SEO strategy for enterprise and startup brands. My current company, Primotech, is already a leader in AI/ML, software, and cloud solutions. We understand the underlying technology stack, data pipelines, and architecture. That gives us an edge in aligning SEO with the logic of AI models.

I have large partner network of SEO and content specialists that delivers full-service execution.

Marketing Strategy + Execution Bridge
Many SEO firms can tinker with meta tags. Few can integrate search strategy with branding, demand generation, and funnel design. I bring both sides: marketing + AI SEO.

Global Reach + Local Sensitivity
We’ve operated in multiple geos. We understand nuance: how query behavior differs across regions, how AI maturity differs by market, how cultural language shifts matter.

Data-Driven, Experiment First
We don’t preach, we test. We implement small pilots, measure, iterate. We don’t bet the farm on hype.

My Personal Involvement
I’ll personally oversee your audit, your roadmap. Not handed off to juniors. You’ll get access, transparency, and a strategist backed with CMO experience, not just a “manager.”

What We Can Do Right Now (If You Work with Me)

Here’s what I propose as the first steps, low risk, high insight:

  • AI Search Audit: I’ll examine 20 target queries in your domain. See where you are cited (if at all). See what competitors are doing. Deliver a gap map.

  • Capsule Blueprint: I produce 10 candidate answer capsules (drafts), you pick which ones to test. We embed and monitor.

  • Citation Baseline Report: We capture your existing mentions and set baseline CTRs and brand queries.

  • Future Scenario Roadmap: Based on vertical maturity, we build projections for how AI citations might impact CTR over the next 12 months. Gives you forecasts to pitch internally.

You get a tangible audit + roadmap, not just a deck of promises.

It’s not just AI positioning; it's about a SearchSync360 Visibility Framework approach

It’s not just about AI positioning anymore. It’s about building an SS360 Visibility framework that connects every surface where discovery happens.

Search isn’t a straight line anymore. It’s a loop that moves between AI chat tools, social feeds, voice queries, video recommendations, and the web itself. The brands that win will be the ones that are consistently visible across all of them, in a relevant and contextual manner.

You asked, “Don’t you think the AI mode might eventually work and people will click it?”

I don’t just think it will. I expect it. 

Not because of luck, but because of how people evolve in what they trust, how they search, and how they decide.

As an AI Strategist, your job is to bridge that shift. To protect visibility today while building influence for tomorrow. To stay discoverable wherever intent begins. To already be in the race before it becomes a sprint.

So yes. Be optimistic. Be prepared. Be deliberate.

Sanjay B.
Sanjay B.

With over 15 years at the forefront of strategic business growth, Sanjay Bhattacharya collaborates with CEOs and founders to reshape market positioning and drive sustainable success. Throughout his journey, he has worn many hats—from Fractional CMO for fast-growing startups to serving as Head of Marketing & Business Strategy at PRIMOTECH. He has been Featured in Under30CEO, American Marketing Association, CMO Times, CTOsync, DesignRush, Earned, HubSpot, MarketerInterview, and more.

Posted on October 6, 2025.