Is AI Adoption Splitting Between B2B and Consumers?

AI use may be stalling with consumers while surging among professionals, according to new Datos and SparkToro data. AI adoption appears to be diverging between professional and consumer audiences, according to Rand Fishkin's new analysis of Datos desktop-panel data and SparkToro audience comparisons.

What Happened

Rand Fishkin published an analysis combining Datos desktop-panel data with SparkToro audience comparisons, showing AI adoption is splitting along professional and consumer lines. ChatGPT and OpenAI usage plateaued in the US, dropping from a 37% peak in September 2025 to 34% by March 2026. Claude posted four consecutive months of growth, with especially strong overindexing among B2B professionals. The pattern held across the EU and UK, where desktop AI usage runs about 10% higher than the US.

The Numbers in Context

• ChatGPT US desktop reach: 37% peak (Sept 2025) to 34% (March 2026), a plateau after years of growth
• Claude usage among B2B professionals: 373% lift versus the average US population per SparkToro
• ChatGPT among retail-shopping consumers: 15% less likely than the average American to use it
• Claude did not rank in the top four AI tools for that consumer audience

Why This Matters for B2B Marketing Leaders

If you sell HR Tech, FinTech, or any B2B category, your buyers are not the average American. They are the professional cohort driving Claude's 373% overindex and sustaining ChatGPT use even as consumer curiosity cools. That means AI search visibility is not a future bet for your category, it is already a primary discovery channel. The mistake is calibrating your AEO investment to mainstream consumer adoption curves. Your audience is further ahead. If you are still treating generative engines as experimental, you are underweight on the surface where your pipeline is forming questions about partners, categories, and shortlists.

The Starr Conspiracy's Take

The headline finding is not that consumer AI stalled. It is that B2B professionals adopted faster than the data dashboards most marketers watch. If your measurement model averages everyone, you will misread your own buyers by a wide margin. We have argued this throughout our work on how B2B buyers actually use AI to research purchases: the professional audience treats Claude and ChatGPT as default research infrastructure, not novelty. You should audit how your brand surfaces inside those tools the same way you audited Google rankings a decade ago. Waiting for consumer parity is waiting for the wrong signal.

What to Watch Next

Watch whether Claude's B2B momentum pulls enterprise advertising dollars and whether Anthropic opens monetization surfaces. Likely within 12 months, expect category-specific AI visibility benchmarks to emerge, separating B2B SaaS from consumer retail. The plateau in ChatGPT consumer reach probably accelerates that segmentation.

Related Questions

Should B2B marketers prioritize Claude visibility over ChatGPT?

Not exclusively, but Claude deserves more attention than its consumer share suggests. With a 373% overindex among B2B professionals, Claude is now a credible discovery surface for HR Tech and FinTech buyers. Track citations across both, weighted by your ICP's actual tool mix.

How do you measure AI search visibility for B2B?

You need brand citation tracking across the major engines, prompt sets that mirror real buyer questions, and share-of-voice comparisons against named competitors. Our breakdown of answer engine optimization fundamentals covers the measurement stack your team should stand up before the next planning cycle.

Does this mean SEO traffic is declining for B2B?

Classical organic traffic is softening in many B2B categories as AI answers absorb informational queries. The buyers still convert, but they arrive later in the demand state with fewer touches. You should rebalance content investment toward assets that AI engines cite, not just rank.