ChatGPT's search feature is gaining users faster than analysts predicted, reshaping where people go for answers. Here's what the latest data shows and how businesses should respond to protect their search visibility.
TL;DR
- ChatGPT Search has surpassed 300 million weekly active users as of Q1 2026, far exceeding early forecasts
- Perplexity, You.com, and Google's AI Overviews are all growing simultaneously - AI search is not a one-horse race
- Traditional SEO metrics (rankings, click-through rates) are increasingly incomplete measures of search visibility
- The new optimisation disciplines - GEO (Generative Engine Optimisation) and AEO (Answer Engine Optimisation) - are becoming essential for businesses that rely on search traffic
- Businesses that adapt now have a meaningful first-mover advantage, because AI search optimisation is still nascent
When OpenAI launched ChatGPT Search in October 2024, most industry analysts treated it as a novelty. Interesting, sure. A genuine threat to Google? Not yet.
The data from Q1 2026 tells a different story.
ChatGPT's weekly active users crossed 300 million in February 2026, according to figures shared at OpenAI's developer summit. The search feature - which gives ChatGPT real-time web access and generates cited answers rather than a list of links - is now used by an estimated 40% of those users for at least one search per week. That's roughly 120 million searches a week flowing through a channel that most businesses have no visibility into and are not optimising for.
This is not a distant trend to monitor. It's a present reality that is already affecting referral traffic patterns, content discovery, and brand visibility for businesses across every sector.
Let's be specific about what the data shows.
ChatGPT Search growth: OpenAI's February 2026 figures placed weekly active users at 300 million, up from 200 million in mid-2025. The search feature specifically has seen accelerating adoption, particularly among 25-44-year-olds who are comfortable using AI tools in their daily workflow.
Perplexity: The AI-native search engine that launched with significant venture backing in 2022 now processes an estimated 15 million queries per day as of early 2026 (Perplexity's own disclosure). Its revenue model - based on subscriptions and a publisher partnership programme - has given it sustainable footing.
Google AI Overviews: Google's own AI-generated summaries now appear on an estimated 25-30% of US English queries (SparkToro, 2025). These overviews often answer questions without users needing to click through to any website - the so-called "zero-click" phenomenon, now powered by AI rather than featured snippets.
Traffic impact: Early data from publishers is striking. Several major media organisations reported 10-20% drops in organic referral traffic from Google through 2025, attributing a meaningful portion to AI Overviews reducing click-through rates on informational queries. For businesses that rely heavily on top-of-funnel content driving website visits, this is a material change.
Understanding why this matters requires understanding how AI search engines work - and how they differ from traditional search.
Traditional Google search ranks pages by relevance and authority, then displays a list of links. The user clicks one. The website gets a visit.
AI search engines - ChatGPT, Perplexity, Google AI Overviews - work differently. They generate a synthesised answer using information from multiple sources, cite those sources, and present the answer directly. The user gets what they need without clicking. If they want to verify or go deeper, they might click a citation - but many don't.
This creates two distinct new challenges for businesses:
Challenge 1 - Being cited at all. If an AI search engine synthesises answers from a set of authoritative sources, is your business one of them? For most businesses, the answer is currently no - not because their content is poor, but because they haven't structured it in ways that AI models find easy to extract and cite.
Challenge 2 - Click-through erosion. Even when your content is cited, the proportion of users who click through to your website is lower than in traditional search. Your brand gets exposure, but less website traffic per mention. This is changing how businesses think about content's purpose - brand authority and citation frequency matter alongside traffic volume.
GEO (Generative Engine Optimisation) is the emerging discipline of optimising content to appear as cited sources in AI-generated search results. It's distinct from traditional SEO (optimising for human-curated rankings) and from featured snippet optimisation (optimising for position zero in traditional search).
Research from Princeton, Georgia Tech, and the Allen Institute for AI published in late 2024 identified several content characteristics that increase the likelihood of being cited in AI-generated answers:
"The businesses that will thrive in AI search are the ones producing genuinely original, well-sourced, clearly-structured content. The days of thin content ranking because it had the right keyword density are over. AI search engines are quite good at distinguishing between content that adds genuine knowledge and content that's just filling word counts." - Rand Fishkin, Co-founder of SparkToro and Moz
AEO - Answer Engine Optimisation - is closely related to GEO but focuses specifically on voice assistants and conversational AI tools that provide direct answers. As smart speakers, in-car AI, and workplace AI assistants become more prevalent, the queries they receive are conversational and expect direct, concise answers.
AEO principles overlap significantly with featured snippet optimisation (which you can read about in detail in our guide to winning featured snippets and position zero), but extend further:
FAQPage, HowTo, and Article types) helps AI systems parse your content accuratelyThe temptation is to wait for the landscape to stabilise before making strategic changes. That's understandable, but it risks ceding ground to competitors who move earlier.
Here's a practical framework for adapting to AI search growth.
Before optimising, understand your baseline. Search for your key terms and brand name in ChatGPT Search and Perplexity. Note:
This audit takes an hour and gives you an immediate picture of your current AI search presence.
Review your highest-value content pages and ensure they're structured for AI extraction:
Original data is the highest-value currency in AI search. Survey your customers, analyse your own data, or partner with an industry body to produce statistics that others will cite. Content that is the original source of a statistic gets cited far more consistently than content that merely references it.
AI models use multiple signals to assess whether a source is worth citing. These include:
Building brand authority is not new advice. But its importance for AI search specifically makes it a higher priority than ever.
Traditional rank tracking tools are built for traditional search. They won't tell you whether you're being cited in ChatGPT or Perplexity. Newer tools - including AI-native platforms like Athenic - are beginning to track AI search citation frequency alongside traditional ranking data. This dual visibility is becoming an essential part of the search analytics picture.
Not all sectors are equally affected by AI search growth. Some patterns are emerging:
| Query Type | AI Search Impact | Priority Response |
|---|---|---|
| Informational ("what is", "how to") | High - AI provides direct answers | Strong GEO/AEO content strategy |
| Comparative ("X vs Y") | High - AI summarises comparisons | Ensure your brand appears in comparisons |
| Local ("near me", location-based) | Low - Google Maps still dominates | Maintain Google Business Profile |
| Transactional ("buy X", "order Y") | Moderate - AI links to retailers | Strong ecommerce SEO + product schema |
| Brand queries (your company name) | Moderate - AI provides brand summaries | Control your brand narrative actively |
The clearest risk is for businesses that generate significant revenue from informational content - educational publishers, media outlets, professional services firms with content marketing strategies. For these businesses, the shift is already material.
For ecommerce and local service businesses, the impact is real but slower moving. Transactional intent still drives users toward direct links and map results more often than AI summaries.
Does ChatGPT Search affect Google rankings? Not directly. ChatGPT Search is a separate system from Google. But both are competing for the same user attention, which means that even if your Google rankings are stable, your overall search-driven traffic and brand visibility may decline as users shift some queries to ChatGPT.
How do I know if I'm being cited in ChatGPT or Perplexity? Manual spot-checking is currently the most reliable method - searching your key topics and noting which sources are cited. Some emerging tools are beginning to track this systematically. Expect more robust tracking options to appear through 2026.
Is traditional SEO dead? No. Google still processes an estimated 8 billion searches per day. Traditional search remains the dominant channel. But it is no longer the only channel that matters, and optimising exclusively for traditional search while ignoring AI search is increasingly risky.
What type of content performs best in AI search? Authoritative, well-cited, clearly structured content that provides genuinely original value. Long-form, data-rich guides with expert quotes, original research, and strong factual claims perform well. Thin, generic content performs poorly.
How quickly do I need to act? The competitive window for early movers is open now, but it won't be open indefinitely. Businesses that invest in GEO and AEO capability in 2026 will have a compounding advantage as AI search continues to grow. Waiting until AI search is "dominant" means adapting after the opportunity has passed.
The growth of ChatGPT Search is not a crisis for businesses that respond intelligently. It's a shift that rewards the same qualities that have always marked good content: accuracy, authority, clarity, and genuine usefulness.
The difference now is that these qualities need to be packaged in ways that AI models can understand and cite - not just in ways that humans find engaging.
Athenic is built to help businesses navigate exactly this shift. Our AI platform handles content creation, SEO optimisation, and emerging GEO/AEO requirements - keeping your business visible across both traditional and AI search, without requiring you to become an expert in a rapidly evolving technical landscape.
Find out more at getathenic.com.