Best practices

Do you need to invest in AEO?

Search is growing while clicks shrink, and AI-driven visitors convert several times better. The data on where this shift helps you and where it hurts.

ABAbhilashFounder4 min read
A minimal line chart showing searches rising while clicks to websites fall, on a warm off-white cover.

Author

AB
Abhilash

Founder

Abhilash is the Founder of Paprik AI. He writes about AEO, AI search visibility, and how brands can win in AI-driven discovery.

Short answer: if your business depends on qualified, high-intent visitors - SaaS, marketplaces, service providers - the data says yes, answer engine optimization has earned a place in your plan. AI-driven traffic is still under 2% of the total for most sites, but it is growing 5-7x year over year and converts about 6x better than traditional organic search. If you monetise pageviews at scale, the same shift works against you. Here is the data behind both halves.

~60% of Google Searches Now End Without a Click

Google search is growing. Traffic is not.

Over the past two years, search volume has increased by more than 20%, crossing ~14 billion searches per day. At the same time, an estimated ~60% of searches now end without a click, up from ~45–50% in the pre-AI era.

Search behavior is shifting. The implications depend heavily on your business model.

The core change is simple:

  • More searches are happening

  • Fewer users are clicking through to websites

For publishers, this is a structural problem.

  • Fewer clicks → fewer pageviews

  • Lower pageviews → lower ad revenue

Some projections already point to a ~43% decline in search-driven traffic over the next few years.

But this same shift is producing a very different outcome for product and service businesses.

The rise of AI-driven traffic

Traffic from AI tools (LLMs) is still small today—less than 2% of total traffic in most cases.

But it is growing rapidly:

  • 5–7x year-over-year growth

More importantly, it behaves differently.


How AI traffic behaves differently

Image for Do you need to invest in AEO?

Compared to traditional organic traffic, AI-driven users show stronger intent:

  • ~18% conversion rates (~6x higher than traditional organic)

  • ~50% more pages viewed per session

  • ~8 seconds more time spent on site (on average)

This is not just more traffic, it is higher-quality traffic.

Why this is happening

The research phase is being compressed.

Previously, a typical journey looked like:

  • Open multiple tabs

  • Compare options

  • Read reviews

  • Gradually form a decision

Now, AI tools handle much of that upfront.

Users arrive with:

  • Pre-filtered options

  • Summarized comparisons

  • A narrower consideration set

By the time they land on your website, they are often validating a decision, not exploring.

Who benefits (and who doesn’t)

This shift creates a clear divide:

Businesses that depend on scale

  • Publishers

  • Ad-driven platforms

Impact:

  • Fewer clicks

  • Lower traffic

  • Declining inventory

Businesses that depend on intent

  • SaaS companies

  • Marketplaces

  • Service providers

Impact:

  • Higher conversion rates

  • More qualified visitors

  • Shorter sales cycles


The long-term shift

By 2028, an estimated $750 billion in consumer spend will be influenced by AI-mediated discovery.

The discovery layer is changing from:

  • “Find options”
    to

  • “Get answers”

That changes how brands are surfaced—and how decisions are made.

What should you do?

1. Understand your current visibility

Before optimizing anything, establish a baseline:

  • Do you appear in AI-generated answers?

  • For which prompts?

  • How often vs competitors?

  • Which sources are being cited?

Without this, optimization is guesswork. How to measure that baseline: what AEO tools actually measure.


2. Shift your optimization target

Stop optimizing for volume alone.

AI traffic represents:

  • Higher intent

  • Higher conversion

Treat it as a premium segment, not just another channel.

3. Optimize for extraction, not just ranking

AI systems prefer content that is:

  • Clearly structured

  • Direct and unambiguous

  • Easy to extract and summarize

This is different from traditional SEO content.

Focus on:

  • Clear sections and headings

  • Direct answers

  • Well-structured comparisons

4. Invest in credibility signals

AI systems rely heavily on external validation.

Important signals include:

  • Mentions in trusted publications

  • Third-party reviews

  • Consistent presence across authoritative sources

A small investment in digital PR can have outsized impact here.


The real question

The question is no longer:

“How do I rank on Google?”

It is:

“How do I become the source that AI systems trust and cite?”

Most teams have not built this layer yet.

Where this is going

AI is not replacing search—it is reshaping how search outcomes are delivered.

  • Fewer clicks

  • More synthesized answers

  • Higher-intent visits

If your business depends on qualified users, this shift can work in your favor—if you adapt early.

Final thought

This is still early.

Most companies are not yet measuring:

  • their visibility in AI answers

  • their share of voice

  • or their citation sources

That creates an opportunity. The simplest way to start: add one question to your onboarding.

Frequently asked questions

How much of my traffic comes from AI tools today?

For most sites, under 2% - but it is growing 5-7x year over year and it hides in your analytics: users get an answer, open a new tab and type your brand directly, so it lands as direct or branded search. Here is how to surface it.

Does the shift to AI answers hurt every business?

No - it splits by business model. Publishers and ad-driven platforms lose pageviews as clicks disappear. Businesses that monetise intent - SaaS, marketplaces, service providers - get fewer but better visitors: roughly 18% conversion rates and more pages per session.

What should I do before optimizing anything?

Establish a baseline: whether you appear in AI answers, for which prompts, how often versus competitors, and which sources are being cited. Optimization without that baseline is guesswork.

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