When Did Everyone Become an AI Company? We Tracked 167 B2B SaaS Websites for 2 Years to Find Out

We tracked the homepage positioning of 167 B2B SaaS companies every quarter for two years. Across 1,323 snapshots, we wanted to answer a simple question: when did AI take over B2B SaaS messaging?

The answer surprised us. Not because companies adopted AI messaging. That was inevitable. What surprised us was when it happened and how fast it accelerated.

The Numbers

In Q2 2024, 9.6% of the B2B SaaS companies in our dataset mentioned AI in their homepage positioning. For a full year, that number barely moved. Q3 2024: 9.1%. Q4 2024: 8.7%. Q1 2025: 9.8%. Four quarters of near-zero growth. AI was still a niche positioning play.

Then something broke. Q2 2025 jumped to 15.1%. Q3 2025 hit 16.2%. Q4 2025 reached 21.7%. And by Q1 2026, one in three B2B SaaS companies, 32.9%, had AI in their homepage messaging.

The inflection point was Q2 2025. That's when the early majority started to move.

The First Movers Were Obvious. The Second Wave Wasn't.

The Q2 2024 cohort reads like a predictable list. Anthropic, Databricks, Perplexity, Replicate, Together AI. These are AI-native companies. Of course they mention AI.

The more interesting story is the second wave: companies that were not AI companies but repositioned as if they were.

Athenahealth, a healthcare EHR platform, now describes its product as an "AI-native" solution. ClickUp moved from project management into "AI Super Agents" that work as autonomous teammates. Clio, a legal practice management tool, now calls itself "the global leader in legal AI technology." Amplitude, an analytics platform, rebranded as "the leading AI analytics platform" with autonomous AI agents built in.

Thirty-five companies added AI to their positioning over the two-year period. That's 21% of our entire dataset that made a deliberate strategic pivot.

The Language Tells the Story

Not all AI positioning is the same. The specific phrases companies choose reveal how they think about AI's role in their product.
"AI-powered" is the most common pattern, used by 19 companies. It's the safe choice. It signals enhancement without commitment. Your product exists; AI makes it better.

"With AI" appears across 12 companies. Even safer. AI is an add-on, a feature, not the foundation.

But the emerging language is different. "AI agents" showed up across 7 companies, and it carries a fundamentally different promise. ClickUp built "Super Agents" that autonomously complete projects. Monday positions itself as the AI work platform. Linear describes its product as a system built for "teams and agents." This isn't AI as a feature. It's AI as a coworker.

Five companies went further: "AI-native." Postman calls itself "The AI-native API Platform." Snyk introduced "the AI Security Fabric." Athenahealth uses "AI-native" across its entire product suite. These companies claim AI as architecture, not feature.

The language evolution maps to three phases: AI-enhanced (2024), AI-powered (early 2025), and AI-native or AI-agent (late 2025 onward). Each phase represents a deeper commitment.

The Vertical Split

AI adoption in positioning is not uniform across industries. The data reveals a clear pattern.

Project management leads non-AI verticals at 75% adoption. Six of eight companies in our dataset now reference AI in their homepage messaging. This makes sense: project management tools compete on productivity, and AI is the new productivity story.

Developer tools follow at 55.6%. GitHub, Netlify, Postman, Twilio, and Vercel all reference AI. Communication tools sit at 50%: Dialpad, Krisp, Otter, and RingCentral.

At the bottom: finance and billing at 0%. Restaurant and food tech at 0%. Construction and real estate at 9.1%. HR at 11.1%. These verticals sell stability, compliance, and reliability. AI positioning may actually work against them.

The split suggests that AI messaging correlates with how much a vertical's buyers value speed and innovation over risk reduction and regulatory compliance.

The Holdouts May Be Right

Here's the counterintuitive insight: the verticals that haven't adopted AI messaging might be making the smarter play.

Finance, billing, and restaurant tech companies sit at 0% AI adoption in their homepage positioning. These companies serve buyers who care about accuracy, compliance, and reliability above all else. Leading with AI could undermine the trust signals their buyers expect.

This raises a question every B2B SaaS company needs to answer: does AI positioning strengthen or weaken your value proposition? The data shows there's no universal answer. It depends on what your buyers value and how much they trust AI in your category.

As AI becomes table stakes in some verticals, the companies that hold back in others may find that not mentioning AI becomes a differentiator of its own.

What This Means

The data points to three conclusions.

First, the AI positioning wave is still accelerating. The jump from 21.7% in Q4 2025 to 32.9% in Q1 2026 is the largest quarter-over-quarter increase in the dataset. We have not hit the plateau yet.

Second, the language is shifting from feature to architecture. "AI-powered" is being replaced by "AI-native" and "AI agents." Companies that adopted "AI-powered" in 2024 may need to upgrade their language to stay current.

Third, the vertical divide is real and strategic. Project management, dev tools, and security verticals have moved decisively. Finance, restaurant tech, and construction have not. Both choices may be correct, depending on the buyer.

About This Analysis

This analysis comes from Growth for Nuts, a competitive intelligence platform for B2B SaaS companies. We track how competitors position themselves, price their products, and evolve their messaging over time, across 19 verticals.
We publish this data because we believe competitive intelligence should be transparent and data-driven. If you run a B2B SaaS company and want to track how your competitors' positioning shifts over time, that is exactly what Growth for Nuts does.

The classification system behind this analysis uses rules, AI, and ML together. Here's why all three are needed. And this is the kind of analysis a non-technical founder can build. Here's how the system was built from scratch.
Follow us on Twitter @growthfornuts for more data like this.
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This is the first in a series of data analyses from our competitive intelligence corpus. Next up: "The State of B2B SaaS Pricing in 2026," covering pricing models, tier structures, and transparency trends across 167 companies.