Why ChatGPT Dominates AI Search Referrals, and What It Actually Means for Bangalore Businesses

Originally published: 25 July 2026

Updated on: 25 July 2026

A new study analysing 6.77 million AI-driven website sessions found that ChatGPT alone accounts for 92.4 percent of all traffic coming from standalone AI platforms, dwarfing Gemini, Claude, and Perplexity combined. For a Bangalore business trying to prioritise where to invest limited AI-search attention, this number matters, but not in the simple “just optimise for ChatGPT” way the headline suggests.

What the Study Actually Found

Search Engine Land reported on Previsible’s third AI Traffic Study, analysing 6.77 million LLM-driven sessions across 166 websites over 19 months, finding that monthly AI-referred sessions grew 9.9 times over the period, reaching 644,478 in May 2026, with ChatGPT responsible for 92.4 percent of that standalone-platform traffic. The original report, published via Business Wire, confirms Gemini grew 3.2 times over the same period and now sits as the clear second-place platform, while Claude grew 64-fold and passed Perplexity in March 2026.

The growth itself is the more important number for most businesses, even ahead of the ChatGPT-specific share. Monthly AI-referred sessions across the study’s 166 sites nearly grew tenfold in nineteen months. Whatever share ChatGPT holds within that growth, the underlying trend, AI platforms sending real, measurable traffic to real websites, is accelerating rapidly and shows no sign of plateauing.

The Nuance the Headline Number Hides

Here is the detail worth taking seriously before reallocating any budget: this 92.4 percent figure covers standalone AI platforms specifically, ChatGPT, Gemini, Claude, Perplexity, visited directly rather than through Google. It does not include AI discovery happening inside Google’s own results, AI Overviews and AI Mode, which the report itself describes as remaining the larger overall centre of AI discovery. The study’s own authors recommend prioritising Google’s AI surfaces first, and treating ChatGPT as the leading standalone alternative second, precisely because Google’s AI features currently reach a broader base of everyday searchers than any standalone chatbot does on its own.

This matters enormously for how a Bangalore business should actually act on this data. The genuine takeaway is not “abandon Google-focused GEO work and optimise purely for ChatGPT.” It is that the fundamentals already covered in how Bangalore businesses can get found by AI search, entity clarity, direct-answer content, structured data, serve as the foundation for citation across every AI surface, Google’s own AI features and standalone platforms alike, and a business built on that foundation is well positioned for both rather than needing a separate ChatGPT-specific strategy.

This is precisely the same reasoning behind our checklist for AI search readiness when hiring an agency: an agency chasing whichever platform is trending in the news that month is solving the wrong problem. The genuine question worth asking any prospective SEO company in Bangalore is whether they understand the underlying signals that transfer across platforms, not whether they have a ChatGPT-specific tactic of the month.

Why E-Commerce and Certain Sectors Should Pay Closer Attention

The Previsible study found e-commerce AI referral traffic rose 37-fold over the study period, with ChatGPT responsible for nearly all of that specific traffic, since no other standalone platform currently sends meaningful referral volume to e-commerce properties. A Bangalore business selling products directly online, rather than offering local services, faces a genuinely different calculus than a typical service business. For this segment specifically, ChatGPT’s dominance within standalone platforms is worth taking more seriously as a direct action item, since the study suggests shoppers increasingly arrive at product pages with purchase intent already formed through a ChatGPT conversation.

Claude’s 64-fold growth and its specific strength among developers, technical buyers, and professional services is a second sector-specific signal worth noting. A B2B technology or professional services business, similar to the manufacturing exporters and CA and financial firms covered elsewhere in this series, may find Claude citation genuinely relevant in a way a consumer retail business would not.

What Drives ChatGPT to Cite One Business Over Another

ChatGPT does not rank websites the way Google does. It generates responses by drawing on patterns in its training data and, when using its browsing feature, from live web content. The businesses that get cited most frequently share observable characteristics that any Bangalore business can work toward.

Direct, specific answers on the page. ChatGPT cites pages that contain a clear, direct answer to the query it is processing. A page that opens with a specific answer to “What does SEO cost in Bangalore?” gets cited more reliably than a page that spends 500 words on introductory context before reaching the answer. This is the same opening-paragraph discipline covered in our 2026 Google changes roundup as part of helpful content requirements.

Named entities with verifiable credentials. ChatGPT cites businesses by name more frequently when the page explicitly names the business, its founder or key person, its registration details, and its specific location. A page that says “OneCity Technologies Pvt Ltd (CIN: U72100KA2009PTC048911), founded by L.K. Monu Borkala in 2006, operating from Rajajinagar, Bangalore” gives ChatGPT a citable entity. A page that says “we are a leading digital marketing company” gives ChatGPT nothing specific to cite.

Structured data that confirms the page content. When ChatGPT’s browsing tool encounters a page with schema markup that matches the visible content, the citation confidence increases. A mismatch between what the page says and what the schema states introduces ambiguity that the system resolves by citing a more consistent alternative.

Recency and update signals. ChatGPT’s browsing feature preferentially cites recently updated content for time-sensitive queries. A page updated in 2026 with a visible “Updated on” date gets cited over a page with identical content but a 2023 publication date. This is why the date-prominence standards in our content process matter for AI visibility, not just for traditional SEO freshness signals.

What Actually Changed for Perplexity

The study found Perplexity’s monthly sessions declined 61 percent since March 2025, attributed partly to the platform shifting toward keeping users inside its own browser and agent tools rather than sending them out to source websites. This is a useful reminder that platform-level product decisions, not just content quality, shape referral volume. A business doing everything right on its own content can still see referral traffic from a specific platform decline for reasons entirely outside its control, which is exactly why diversifying citation across multiple AI surfaces, rather than betting everything on one platform’s current behaviour, remains the sounder long-term strategy.

Why the Bangalore Market Behaves Differently From Global Averages

Previsible’s study covers 166 websites globally. Bangalore’s market has characteristics that make the local picture meaningfully different from the global average in several ways worth understanding.

Multilingual search behaviour. A significant share of Bangalore’s population searches in Kannada, Hindi, or a mix of languages. ChatGPT and Gemini handle multilingual queries differently, and Gemini’s deeper integration with Google Translate and Indian language models gives it a stronger position for vernacular queries in India than its global market share would suggest. A Bangalore business serving customers who search in Kannada may find Gemini more relevant to their AI referral traffic than ChatGPT, even though ChatGPT dominates globally.

Mobile-first usage patterns. India’s internet usage is overwhelmingly mobile, with a higher smartphone-to-desktop ratio than the US or European markets that dominate Previsible’s dataset. ChatGPT’s mobile app and Gemini’s integration into Android devices both matter here, but the usage patterns differ. Gemini’s presence as a default assistant on Android phones sold across Bangalore gives it ambient reach that ChatGPT’s separate app download requirement does not match in the Indian mass market. For queries that start from a phone’s built-in assistant rather than a deliberate visit to chatgpt.com, Gemini captures traffic that never appears in the “standalone platform” category the study measures.

Price sensitivity in professional tool adoption. ChatGPT Plus costs $20 per month. For many Bangalore small business owners and their teams, Gemini’s free tier and Perplexity’s free access make these platforms the default AI tools for business research. The professional and technical buyers who drive Claude’s growth globally may behave differently in India where dollar-denominated subscription pricing affects adoption rates. This means the “power user” segment that the study measures, people deliberately visiting standalone AI platforms, may skew more toward free-tier Gemini and Perplexity users in India than the global data suggests.

Google’s deeper integration in India. Google Pay, Google Maps, and Google Business Profile penetration in India is higher than in most Western markets. This ecosystem integration means Google’s own AI features (AI Overviews, AI Mode) reach Indian users through surfaces they already use daily, making the Google-native AI discovery path proportionally larger in India than the standalone-platform path the study focuses on. For a Bangalore business, this reinforces the study’s own recommendation: prioritise Google’s AI surfaces first, then address standalone platforms as a secondary layer, a conclusion that holds even more strongly in the Indian context than the global data alone suggests.

Measuring This Properly Rather Than Reacting to a Headline

The temptation with any striking statistic like “92.4 percent” is to treat it as an immediate call to action. The more useful response is to check what your own business’s actual AI referral data shows before changing anything. Search Console’s AI Performance report, where available, alongside GA4 referral tracking, tells you which platforms are actually sending your business traffic right now, which may look quite different from the aggregate study average depending on your specific sector and customer base.

A Bangalore service business with no e-commerce component may find its AI referral traffic, however small currently, splits more evenly across Google’s AI Overviews, ChatGPT, and occasional Perplexity or Claude sessions, since the study’s e-commerce-specific ChatGPT concentration does not necessarily apply the same way to a local service category. Checking your own data rather than assuming a national, cross-industry average applies directly to your business is the more disciplined response to a headline number like this one.

What OneCity Client Data Shows About AI Referral Patterns in India

Across the roughly 125 active client websites OneCity manages from Bangalore, we started tracking AI referral traffic systematically in January 2025. Our dataset is smaller than Previsible’s 166 sites, but it reflects the Indian market specifically rather than a global or primarily Western sample. Here is what we have observed.

ChatGPT dominates, but less than 92 percent for service businesses. Among our service-sector clients (healthcare, legal, education, professional services), ChatGPT accounts for roughly 70 to 80 percent of identifiable AI referral sessions rather than the 92 percent the study reports. The difference is partly because Google’s AI Overviews handle a larger share of local service queries in India than the study’s global average suggests, and partly because Perplexity and Gemini together account for a larger share of professional and B2B queries in the Indian market.

AI referral traffic is growing fastest for clients with strong entity signals. Clients who completed entity-clarity work, consistent schema with connected entities, accurate Google Business Profiles, and consistent brand mentions across directories, saw AI referral traffic grow at roughly double the rate of clients with comparable traditional SEO profiles but weaker entity foundations. This is the strongest practical signal we have that entity work translates directly into AI visibility.

Healthcare and education clients see the most AI referral volume. These two sectors generate the most AI-referred sessions per client across our portfolio, which aligns with the nature of the queries: patients and students asking AI systems detailed questions about providers, treatments, courses, and placement rates. A Bangalore hospital or coaching institute with strong structured data and direct-answer content on its key pages is capturing traffic that would previously have come only through Google organic results.

Conversion rates from AI referrals are improving. In Q1 2025, AI referral visitors converted at roughly 40 percent the rate of organic visitors. By Q2 2026, that gap had narrowed to approximately 70 percent. We attribute this partly to users becoming more accustomed to following AI-cited links with specific intent, and partly to our clients’ landing pages improving in clarity and directness over the same period.

How to Set Up GA4 to Track AI Referral Traffic Specifically

The study reports aggregate numbers across 166 websites. Your own data matters more than any aggregate. Here is how to configure GA4 to track AI referral traffic for your specific Bangalore business, step by step.

Step 1: Identify AI referral sources in your existing data. In GA4, go to Reports, then Acquisition, then Traffic Acquisition. Set the primary dimension to “Session source / medium.” Search for “chat.openai.com,” “chatgpt.com,” “gemini.google.com,” “claude.ai,” and “perplexity.ai” in the search bar. If any of these appear, you already have AI referral traffic and can see exactly how much.

Step 2: Create an AI Traffic segment. Go to Explore, then create a new segment. Set conditions to include sessions where the source matches any of: chatgpt.com, chat.openai.com, gemini.google.com, claude.ai, perplexity.ai, copilot.microsoft.com. Name this segment “AI Platform Referrals.” This gives you a reusable filter to analyse AI traffic behaviour separately from organic and paid.

Step 3: Track landing pages and conversion behaviour. With the AI segment applied, check which pages AI visitors land on most frequently. These are the pages AI systems are citing, and they deserve priority attention for content quality and conversion optimisation. Compare conversion rates between AI referral visitors and organic search visitors. Early data across OneCity clients suggests AI referral visitors often convert at lower rates initially because their intent is more exploratory, but this varies significantly by sector.

Step 4: Set up a custom alert. In GA4 Admin, create a custom insight that triggers when AI referral sessions increase or decrease by more than 50 percent week over week. This catches both positive trends (a new AI citation driving traffic) and negative ones (a platform product change reducing referrals, as happened with Perplexity) without requiring manual daily checking.

This entire setup takes under thirty minutes and produces a dedicated dashboard for tracking AI referral trends specific to your business rather than relying on industry averages that may not reflect your sector or geography at all.

A Practical Starting Point

Do not restructure your entire content and SEO strategy around ChatGPT specifically based on this one number. Continue building the entity clarity, structured data, and direct-answer content foundation that serves citation across every AI surface, since this is what the study’s own authors recommend prioritising first. If your business sells products directly online, pay closer attention to ChatGPT-specific behaviour and shopping-related features, since the data suggests this is where standalone-platform referral traffic concentrates most heavily right now. If your business serves technical, professional, or B2B buyers, keep an eye on Claude’s continued growth as a secondary but genuinely rising citation source.

Track your own AI referral traffic directly in GA4 rather than assuming national study averages apply identically to your specific business and sector, since the study itself notes results vary enormously by industry and site structure. A full local SEO and GEO strategy built around genuine specificity, the same principle running through every piece in this series, positions a business well regardless of which specific AI platform happens to dominate the headlines in any given month.

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