A year ago, "AI search" was a single category. Now it's four distinct tools with different user behaviours, different ways of discovering companies, and different signals that drive recommendations. For a niche B2B company trying to get found, knowing the difference matters.
This comparison breaks down how ChatGPT, Perplexity, Claude, and Google AI Overviews each operate — and what that means practically for which ones you should optimise for first.
The quick comparison
| Platform | Primary use case | How it discovers companies | Traffic quality | B2B relevance |
|---|---|---|---|---|
| Google AI Overviews | Informational queries in Google Search | Top-10 ranked pages + structured data | High volume, mixed intent | Very high |
| Perplexity | Research and vendor comparison | Live web search + citation ranking | Lower volume, very high intent | Very high |
| ChatGPT | General questions, work tasks | Training data + optional web search | High volume, variable intent | High |
| Claude | Analysis, writing, research | Training data + web search (when used) | Lower volume, high intent | Moderate–high |
Google AI Overviews: the one with the biggest audience
Still the highest-volume AI touchpoint for B2B buyers
AI Overviews appear at the top of standard Google Search results and now show for 13–15% of all queries. For B2B buyers researching solutions, this is often the first AI-generated answer they see — before they ever open ChatGPT.
Google AI Overviews are built almost entirely from pages that already rank in the top 10 of traditional search. Research consistently shows that 76% of AI Overview citations come from pages in the top 10 organic results for that same query. If your traditional SEO is weak, your AI Overview presence will be weak too.
What makes AI Overviews different from a featured snippet: they synthesise from multiple sources, so even a page ranked 4th or 7th can contribute to the answer. Structured data (especially FAQPage and Organization schema) directly increases the likelihood your content gets pulled in.
Who's using it for B2B research: Decision-makers who start with Google Search and don't switch to a dedicated AI tool. This is still the majority of business buyers.
Perplexity: the one that sends the most qualified visitors
Lower traffic volume, but these visitors are actively researching purchases
Perplexity is designed for research. It always searches the live web, cites its sources, and presents answers with clickable references. Buyers who use Perplexity are in active comparison mode — they're not browsing, they're deciding.
Perplexity now handles over 25 million queries per day, with a user base heavily skewed toward professionals, researchers, and technical buyers. The visitors it sends have lower bounce rates and longer on-site sessions than those from any other AI platform — including Google.
Because Perplexity always pulls from the live web, recency matters more here than anywhere else. A blog post published last week can rank in Perplexity citations before it even shows up in Google Search. For niche B2B companies, this creates an opportunity to win early citations in a new category before competitors catch up.
What gets cited: Pages with clear, specific, factual content that directly answers the query. Perplexity favours sources that can be verified — industry publications, company pages with specific claims, and any content with supporting data or named credentials.
ChatGPT: the one with the biggest user base
900 million weekly active users, but not all of them are researching vendors
ChatGPT is used for a huge range of tasks — most of which have nothing to do with finding a vendor. But when it is used for product or supplier research, it has enormous reach. The challenge is that its knowledge is partially based on training data, not always the live web.
ChatGPT's web search feature (available in GPT-4 and newer models) can pull from current sources, but many users don't prompt it to search — they just ask a question and accept the answer. That means a significant share of ChatGPT's vendor recommendations come from what was in its training data when the model was last updated.
If your company wasn't well-represented on the web 12 to 18 months ago, ChatGPT may not know you exist — even if you're the best option in your market today.
For niche B2B companies, this is both a problem and an opportunity. Building consistent, accurate mentions across industry publications, partner sites, and directories now improves how ChatGPT understands your company in its next training cycle.
What drives ChatGPT recommendations: General web authority (mentions in trusted publications), clear and specific content on your own site, and an accurate description of your company across multiple independent sources.
Claude: the one growing fastest in professional contexts
Smaller audience than ChatGPT, but growing fast in B2B professional use
Claude is increasingly used for research, analysis, and document work in professional settings. Its user base skews toward knowledge workers and teams — which overlaps strongly with B2B buying committees.
Like ChatGPT, Claude operates primarily from training data unless a user specifically invokes web search. Its recommendations are also shaped by what was well-represented and credible on the web at its last training cutoff.
Claude tends to give more measured, research-oriented answers than ChatGPT — which means it's more likely to qualify its recommendations and point to sources. For B2B buyers, that makes Claude citations feel more trustworthy, which increases the likelihood a mentioned company gets investigated.
What to note: ClaudeBot crawls your site using standard HTTP requests, no JavaScript execution. Content that only loads via JavaScript is invisible to it. Robots.txt directives are respected.
Where to focus first: a practical framework
You don't need to treat these as separate strategies. The same foundational work improves your visibility across all four platforms:
- Technical foundation — Ensure all your content is in raw HTML (not JavaScript-rendered). All four platforms need to be able to read your pages.
- Structured data — Organization, Service, Article, and FAQPage schema improves citations in Google AI Overviews specifically, and signals authority to all platforms.
- Clear, specific content — Write pages that directly answer the questions buyers type into these tools. Vague content is invisible content.
- Third-party mentions — Getting accurately described in industry publications and directories builds the cross-web presence that ChatGPT and Claude rely on for their training data.
If you need to prioritise, start with Google AI Overviews (via traditional SEO) and Perplexity (via fresh, specific, citable content). They produce the most measurable buyer traffic. ChatGPT and Claude citations compound over time as your web presence grows.
One concrete step: Search your company name and your category's main buyer question in all four tools today. Write down which tools mention you, which mention competitors, and what specific language they use. That's your baseline — and it shows you exactly where the gaps are.
Not sure where you stand across these four platforms?
We run the real buyer queries for your category across ChatGPT, Claude, Perplexity, and Google AI Overviews and send you a clear breakdown of who's being cited, who's being missed, and what to do about it.
Request a free AI visibility auditFrequently asked questions
Which AI tool sends the most B2B buyer traffic?
Google AI Overviews generates the highest volume because it sits at the top of Google Search. However, Perplexity sends the highest-intent visitors — buyers who arrive via Perplexity are in active research mode and have lower bounce rates than those from any other AI platform.
Do ChatGPT, Claude, and Perplexity crawl my website?
Yes. ChatGPT uses GPTBot, Claude uses ClaudeBot, and Perplexity uses PerplexityBot. All three crawl publicly accessible HTML pages. None execute JavaScript, so content loaded by client-side scripts is invisible to them.
Should I optimise for all four AI tools or focus on one?
The core work — clear content, structured data, third-party mentions, and a technically sound site — improves your visibility across all four simultaneously. There's no meaningful benefit to platform-specific tactics at this stage; the fundamentals apply everywhere.
Does Google AI Overviews pull from the same sources as traditional Google Search?
Largely yes — 76% of pages cited in Google AI Overviews also rank in the top 10 of traditional Google Search for the same query. But the selection criteria differ: AI Overviews favours content with structured data and direct answers, not just keyword-matched pages.