ChatGPT vs Perplexity for B2B research: where your buyers actually are

ChatGPT and Perplexity are routinely treated as interchangeable AI search surfaces. They are not. The user populations, query patterns and selection mechanisms are different enough that B2B brands should resource them separately.

This article summarises what we have observed across 200 B2B buyer journeys tracked between January and March 2026.

The user populations are different

• ChatGPT: dominant by raw query volume. Used across the entire buyer organisation, from first awareness to vendor shortlist.
• Perplexity: lower volume but higher intent. Over-indexed on researchers, analysts, consultants, in-house counsel and senior decision-makers building defensible cases.

If your buyer is a senior, research-led professional, Perplexity is disproportionately important relative to its share of overall query volume.

The query patterns are different

ChatGPT queries lean conversational and exploratory: "what should I look for in a law firm for a series A", "how do I evaluate B2B SaaS vendors". Perplexity queries lean research-led and citation-hungry: "compare the leading B2B fintech compliance providers in the UK", "what is the regulatory position on X".

The practical implication: optimisation for ChatGPT and optimisation for Perplexity require different content shapes even when the underlying entity work is the same.

The selection mechanisms are different

• ChatGPT: synthesises from training data plus optional retrieval. Citations are not always surfaced; selection is opaque.
• Perplexity: surfaces five to ten citations per answer, weighted and visible. Selection is measurable.

This means Perplexity SEO is directly verifiable: you are in the citation set or you are not. ChatGPT requires inference: you are named more or less often, with growing confidence over time.

Where to invest in 2026

For B2B brands targeting senior, research-led buyers, the pragmatic split is:

• Run AVO across both surfaces in parallel; the underlying entity, coherence and authority work compounds across each.
• Tilt content investment toward Perplexity-shaped formats (deep, citation-hungry, structured) for the high-intent surface.
• Tilt conversational and shortlist-shaped content (FAQ, comparison, "best X" formats) toward ChatGPT.

What does not work

• Treating "AI SEO" as a single channel and producing one set of content for both. The query shapes do not match.
• Ignoring Perplexity because the volume is small. The decision-makers it carries are not.
• Optimising for one platform and assuming the other will follow. The selection mechanisms are different enough that gains do not always transfer cleanly.

The honest answer to "where should I invest" is "both, asymmetrically, with the asymmetry driven by who your actual buyer is". Most teams under-invest in Perplexity by an order of magnitude relative to its strategic value.