Which AI models should your brand actually track?

Key takeaways

Start with ChatGPT. It’s still where most AI searches happen.
Then add 2 or 3 models that match who you sell to. Not all of them.
Each model has its own crowd. Developers lean Claude, enterprise teams use Copilot, high-income researchers use Perplexity, and crypto and betting audiences use Grok.

Most brands I talk to track one AI model or all of them. Neither is right.

Tracking only ChatGPT misses a lot of buyers now. Tracking every model costs more and fills your reports with answers your buyers never see.

So the real question is simple. Who buys from you, and which AI do they use?

I pulled the audience research on the seven big AI surfaces to answer that. Here’s what I found.

The rule

Start with ChatGPT. Every brand.
Add 2 or 3 models. Pick the ones that match who you sell to.
Skip the rest. Less spend, and reports that match your real buyers.

Start with ChatGPT (but don’t stop there)

ChatGPT is still the biggest by far. About 80% of AI chatbot web visits went to ChatGPT in September 2026 (Statcounter). It has around 900 million weekly users (OrganiKPI).

But the lead is shrinking. Its share of US mobile chatbot daily users fell from 69% to 39% between January 2025 and March 2026 (Apptopia data).

One thing to watch: ChatGPT’s “market share” depends on who’s counting. Statcounter says about 80% of web visits. Sensor Tower puts it closer to 46% of AI app usage worldwide (Tech Insider). Each tracker measures something different, so check what a stat is actually measuring before you repeat it.

The quick map

Model	Who’s on it	Track it if you sell to
ChatGPT	Everyone	Everyone. This is the baseline
AI Overviews + AI Mode	Anyone searching Google	Health, finance, insurance, legal, education
Gemini	Android, Chromebook and Workspace users	Local and home services, education, buyers 35+
Perplexity	High-income professionals	Financial services, investing, consulting, luxury
Claude	Developers and technical buyers	B2B SaaS, dev tools, cybersecurity, IT services
Copilot	Enterprise employees at work	Enterprise software, IT, professional services
Grok	People on X	Crypto, fintech, sports betting, gaming

The audience data behind each row is solid. The industry match is my read of that data, not a study. Here’s the why for each one.

Model by model

AI Overviews and AI Mode

This is the biggest AI surface there is. Google says AI Overviews reach over 2.5 billion people a month, and AI Mode passed 1 billion (SQ Magazine).

Health and money questions trigger it the most. About 44% of medical and other high-stakes searches show an AI Overview, versus about 20% of all searches (Ahrefs data via OrganiKPI).

And it takes clicks. People click a regular result 8% of the time when an AI Overview shows, versus 15% when it doesn’t (Pew Research). If your business lives on Google traffic for high-stakes questions, this is where you’re losing the most.

Gemini

The Gemini app hit 950 million monthly users, up from 400 million in May 2025 (Alphabet Q2 2026). People get it by default. It’s built into Android phones, Google Search and school Chromebooks, so nobody has to go looking for it (Blank Spaces).

It also skews a bit older. Its fastest-growing group is 35 to 44, and about 28% of users are 45 or older (Click Vision, DemandSage).

The part I’m watching is local. Ask Maps puts Gemini inside Google Maps, so people can ask for a plumber or a dentist in plain language (GSQi). It’s still early access, but if you’re a local business, this is the one to get ahead of.

Perplexity

Small audience, but a wealthy one. About 80% of users are college grads, 30% are senior company leaders and 65% are high-income white-collar workers (WARC data via GetAIRefs).

They’re researching, not browsing. The median Perplexity question is about 10 words, versus 2 or 3 on Google (Contrary Research). Perplexity Finance also pulls data from FactSet, S&P Global, Morningstar and PitchBook (AI Wiki).

With about 45 million monthly users (SQ Magazine), it’s not a reach play. Track it when each customer is worth a lot.

Claude

Technical people use it the most. Coding and computer tasks make up about 35% of Claude.ai conversations (Anthropic Economic Index via Second Talent).

It also leads in the enterprise. Anthropic has 32% of enterprise AI model usage, ahead of OpenAI at 25% (Menlo Ventures via SQ Magazine). And developers are moving to it fast. The share using Claude Code at work went from 18% to 39% in the first half of 2026 (JetBrains via Gradually).

If your buyer is an engineer or an IT lead, there’s a good chance they’re asking Claude.

Copilot

It’s on every work laptop. Microsoft 365 Copilot passed 30 million paid business seats in mid 2026, about double where it was two quarters earlier (Cognizo).

Business buyers are using AI to research vendors. 45% of B2B buyers used generative AI in their buying process, mostly to look up vendors and products (Gartner via Demand Gen Report).

One more thing. Copilot’s answers come from Bing, so your brand can show up very differently here than in ChatGPT (Cognizo). Its audience also skews older and more enterprise than Google’s (Stackmatix).

Grok

Grok’s top users are crypto traders, gamblers and people sending peer-to-peer payments (Sensor Tower via SeoProfy). That makes sense. It’s built into X and reads posts in real time, which is where crypto news and market chatter show up first (FinanceFeeds).

Money is moving onto X too. X Money launched in beta in June 2026 with a debit card and savings, and Grok answers spending questions inside it (Roboin).

It’s also the most male chatbot. About 67% male on web and 82% on the app, with most users under 35 (SeoProfy). It has about 117 million monthly users across X, the app and web (About Chromebooks).

B2B buyers are spreading out

G2 surveyed 1,076 B2B software buyers in March 2026. ChatGPT is still on top. But the other models are climbing (G2):

Claude’s share of B2B software research doubled in seven months.
Gemini goes from 14% at discovery to 23% at the decision stage.
Copilot hits 13% at companies with 5,000+ employees.

Across all AI use (not just B2B), ChatGPT’s share of prompts fell from 70% to 50% between January and June. Gemini climbed to 30% and Claude to 11% (Comscore).

My take: ChatGPT’s grip on B2B buyers is slipping. The data doesn’t fully show it yet, but my conversations with customers have changed. More buyers are running their research in Gemini, Copilot and Claude. March data is already old in AI, and I’d bet the next round shows these three closing the gap.

What I’d actually do

Write down who your buyer is. Their role, company size, and how technical they are.
Match them to the map. Two or three models on top of ChatGPT is usually right.
Re-check every few months. These numbers move fast.
If you’re an agency, pick models per client. A dentist and a dev tool company need different models. Fewer models per client means lower cost and more margin.

TLDR

Track ChatGPT, then add the 2 or 3 models your buyers actually use. Technical buyer, add Claude. Enterprise buyer, add Copilot. High-value research buyer, add Perplexity. Google-heavy or local, add AI Overviews and Gemini. Crypto or betting, add Grok. Skip the rest.

Which AI models should your brand actually track?

The rule

Start with ChatGPT (but don’t stop there)

The quick map

Model by model

AI Overviews and AI Mode

Gemini

Perplexity

Claude

Copilot

Grok

B2B buyers are spreading out

What I’d actually do

TLDR

Sources

Which AI models should your brand actually track?

The content freshness stats everyone shares, checked

The pages that get cited most in ChatGPT aren’t the ones that last