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Your Next 1M Users Won't Come From Google , They'll Come From AI Assistants

Your Next 1M Users Won't Come From Google , They'll Come From AI Assistants

Written By:

Sayak Sen

Published on

Nov 22, 2025

AI assistants like ChatGPT and Perplexity driving user acquisition and replacing Google search for brand discovery
AI assistants like ChatGPT and Perplexity driving user acquisition and replacing Google search for brand discovery
AI assistants like ChatGPT and Perplexity driving user acquisition and replacing Google search for brand discovery

For over a decade, every growth playbook assumed the same thing: if you want new users, you rank on Google.

But something fundamental has shifted in the last 18 months, quietly, but decisively.

People aren't "searching" the way they used to. They're asking. And they're asking AI assistants first.

This isn't a future prediction. It's happening right now. And the brands that understand this shift are already seeing results that traditional SEO never delivered.

The Data Is Clear: Search Is Moving to AI

Here are the numbers that matter:

20% of internet queries now bypass Google entirely and go straight to ChatGPT, Perplexity, Claude, and similar tools. That percentage is climbing rapidly.

Over 60% of Google searches end in zero clicks, users get their answer from AI Overviews without visiting any website.

Meanwhile, AI assistants are exploding:

  • Perplexity's traffic grew over 1,000% year-over-year

  • ChatGPT handles billions of queries monthly

  • Apple is integrating system-level AI assistance into iPhones

  • Amazon is rebuilding Alexa as an AI-powered agent

This isn't search declining. It's search being replaced.

People want answers, not links. They want recommendations, not research overload. And AI assistants are winning that battle for attention, which means they're winning distribution.

Why Users Prefer AI Assistants (And Why It Matters for You)

There are four reasons users are gravitating toward AI tools instead of traditional search:

1. Less Cognitive Load

A Google search gives you 20 blue links to evaluate. An AI assistant gives you the two options that actually matter, with reasoning.

2. One-Stop Decision Making

AI assistants compress what used to be a 30-minute research session into 30 seconds. They clarify the need, shortlist options, compare features, recommend a choice, and justify why, all in one conversation.

3. Trust Through Explanation

Assistants don't just recommend, they explain the why. This builds credibility instantly, something a ranked list never could.

4. Mobile + Voice Fit

Talking beats typing. Asking beats searching. AI assistants fit how people actually behave on mobile devices.

Once this habit sticks, it becomes the default. And if your brand isn't one of the 2-3 options an AI mentions? You effectively don't exist in that world.

Real Companies Are Already Winning With GEO

Let me show you what this looks like in practice with three real case studies:

Vercel: 10% of New Signups Now Come From ChatGPT

Vercel publicly shared that ChatGPT now refers around 10% of their new signups, up from 4.8% the previous month and just 1% six months ago.

That's not a marginal channel. That's exponential growth from a discovery engine that didn't exist two years ago.

Tally: AI Search Became Their Biggest Acquisition Channel

Marie Martens, co-founder of Tally (a form-building tool), revealed that ChatGPT and Perplexity now drive the majority of their new signups. This shift helped them grow from $2M to $3M ARR in just four months.

Let that sink in: AI search went from zero to their largest acquisition channel in less than a year.

Go Fish Digital: 25X Higher Conversion Rate From AI Traffic

Go Fish Digital ran a 90-day GEO experiment and saw remarkable results:

  • +43% growth in monthly AI-driven traffic

  • +83% lift in monthly conversions from AI referrals

  • 25X higher conversion rate from AI-driven leads compared to traditional Google search traffic

Why did AI referrals convert 25 times better? Because users arriving from an AI citation had already been pre-educated, pre-qualified, and pre-convinced by the assistant's reasoning. They showed up ready to buy.

These aren't outliers. They're early signals of a massive shift in how users discover and evaluate products.

The Fundamental Difference: AI Picks Winners by Entity, Not Keywords

Here's the core difference between SEO and GEO (Generative Engine Optimization):

Traditional SEO: Optimize pages → keywords → backlinks → ranking position

GEO: Optimize your brand entity inside the AI's understanding of your category

AI assistants don't rank websites. They evaluate brands across multiple dimensions:

  • Category expertise and authority

  • Product clarity and value proposition

  • Social proof and reliability

  • Consistency across platforms

  • User outcomes and satisfaction

Your brand isn't a "page" anymore. It's a node in the AI's knowledge graph.

The brands an assistant trusts? It recommends them. The ones it doesn't? They disappear from recommendations entirely.

AI-Driven Users Are Worth More (The Hidden Gold Mine)

This is crucial for growth teams to understand: AI-referred users convert significantly better than Google search traffic.

Why? Look at the queries AI assistants handle:

  • "Best CRM for remote teams under $50/month?"

  • "Which payment gateway integrates easiest with mobile apps?"

  • "Cheapest food delivery app in Bangalore with low fees?"

  • "What's the most reliable project management tool for agencies?"

These are deep buying-intent questions, not top-of-funnel keywords.

AI-driven users arrive with:

  • Higher trust (the AI filtered for quality)

  • Better context (they understand the category)

  • Clearer intent (they know what they need)

  • Fewer doubts (the AI already answered objections)

This leads to:

  • Higher signup conversion

  • Faster trial-to-paid conversion

  • Stronger retention

  • Lower customer acquisition cost

These users are worth more. And they're increasingly coming through AI channels, not Google.

The Playbook: How to Win in AI-Driven Discovery

A non-technical founder can start winning this game today. Here's the practical playbook:

1. Make Your Brand Entity Consistent

Your brand must look uniform across your website, social profiles, product listings, review sites, Wikipedia (if notable), app stores, and knowledge bases. AI models heavily weight consistency when deciding which brands to trust.

2. Explain Your Product With Clarity

Vague positioning loses in AI recommendations. Be specific about who you serve, what problem you solve, and how you differ from alternatives. AI assistants reward clarity.

3. Create Comparison Content

Publish honest, factual comparisons in your category. Include your product, but also competitors. AI models rely on structured, unbiased comparison content when making recommendations.

4. Build Category Authority

Answer real questions in your domain with depth and data. Include statistics, quotes from experts, original research, and concrete examples. Research shows that adding statistics boosts AI visibility by 30%, and quotations by 20%.

5. Get Featured in Credible Places

AI models amplify brands mentioned in trusted sources: media coverage, research reports, industry publications, and community platforms like Reddit and LinkedIn. Contribute genuinely helpful content in relevant communities.

6. Make Your Site AI-Friendly

Structure content for extraction: clear headings, bullet lists, FAQ sections, concise answers, schema markup. Avoid dense paragraphs. AI assistants love content that's easy to parse and cite.

7. Measure Your AI Visibility

Run monthly "citation audits" with prompt sets:

  • "Which tool is best for [your category]?"

  • "Top 3 alternatives to [competitor]?"

  • "Best [product type] for [use case]?"

Track whether your brand appears. Tools like Ahrefs' AI Visibility tracker and Semrush's Brand Monitor can help.

The Strategic Reality: Early Movers Get the Advantage

Google SEO took a decade to mature. Brands that invested early built compounding advantages that competitors struggled to overcome.

GEO will mature faster, probably within 12-24 months.

By the time it becomes mainstream, the top positions in each category will already be occupied. And here's the thing: AI assistants won't suggest 50 brands. They'll recommend the top 2-3.

If you're not in that top tier? You'll watch competitors capture the next generation of users while you're still optimizing meta descriptions for Google.

If you are in that tier? You'll benefit from a compounding moat that's hard to replicate, because you shaped how AI understands your entire category.

The Bottom Line

Your next million users will come from AI assistants, not because it's trendy, but because that's where user behavior is heading.

The question isn't whether this shift is happening. The data proves it already is.

The question is: Will AI assistants direct those users to you, or to your competitors?

The window to establish your brand in AI recommendations is open right now. But it won't stay open forever.

Start with one thing: Run those citation audits. Ask ChatGPT, Perplexity, and Claude the questions your potential customers ask. See who they recommend.

Then ask yourself: What would it take to be the obvious answer?

That's your GEO strategy. And the time to start is now.

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LLM LAB

Track, monitor, and optimize how answer engines talk about your brand.

Our outcome-driven weekly report deliver measurable improvements in 3–4 weeks.

Copyright © 2024 Craveo Labs Pvt Ltd. All rights reserved.