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The 2026 Agent Traffic Benchmark · Living Edition

Your B2B buyers sent someone else to evaluate you.

The first ongoing, cross-industry study of how AI agents are reading, comparing, and deciding on B2B vendors. Over 3 million agent events logged. Every major agent observed, continuously. Updated quarterly.

3M+ agent events/110 days/9 agents tracked/5 verticals
Living Edition · v3 published May 2026 · Quarterly cadence
The headline findingYTD 2026
0%

of B2B content-page traffic now comes from AI agents — not humans.

Source · 3,060,582 agent events · Jan 1 – present · Salespeak monitored network

Trusted by high-growth B2B teams

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Illustrative · based on our monitored network

Across our monitored network, right now.

847
Pages fetched
by AI agents in the last 60 seconds
412
Questions asked
of company content, in real time
31
Went unanswered
no page on the site had the answer
6
Agent platforms active
ChatGPT, Claude, Perplexity, Gemini, more

The audience changed. The stack didn’t.

On the B2B web, a larger share of content-page traffic is now non-human than human. Agents are reading the comparison page, the security brief, the pricing calculator, the integration doc. Every page your buyer used to read themselves.

The mechanics are new. Agents fetch specific pages, in milliseconds, without ever loading the JavaScript your analytics stack depends on. Fifty-nine percent of ChatGPT agent traffic in our dataset originates from a Postman-class HTTP client. One percent of Perplexity agent visits ever touch a homepage. They arrive at the deep page, parse it, and leave. Your stack was waiting for a session that will never start.

The audience is not just reading differently. It is deciding differently. The buyer on the other end of the agent receives a synthesis – a compressed verdict on your company – seconds after the question is asked. By the time a human shows up at your sales call, the shortlist is already written.

The consequence
You need a layer that speaks to them directly.

This is what the agent sees.

The write gap
0%
of buyer questions don't get a clean answer on the vendor's own website
2,331 in-category buyer questions · 200+ B2B SaaS vendors · May 2026 · 95% CI [35.5%, 39.4%] (Wilson)

Only 2.3% produced direct, confident, actionable answers. 60.3% returned partial or ambiguous content. 37.4% found nothing at all.

What the agent was asking
Top 20 unanswered questions from the benchmark · 200+ B2B SaaS vendors, May 2026
?How do you compare to [competitor A] and [competitor B] on feature depth, pricing, and developer experience?

A representative transcript. Patterns observed across our monitored network.

agent://ChatGPT · evaluating acme-corp.com
>What is [company]'s pricing model for enterprise plans?Q
<Not stated. Pricing page directs to sales.Unresolved
>Does [company] support SOC 2 Type II?Q
<Yes. Referenced in /trust.Answered
>How does [company] compare to [competitor] on deployment time?Q
<Conflicting claims across blog and docs. Confidence low.Degraded
>Is [company] compliant with EU AI Act requirements?Q
<No page answers this. Falling back to [competitor].Lost
The consequence
You need a layer that knows what it cannot say.

What the benchmark found.

37.4%

of in-category buyer questions are unanswerable on the vendor's own site. Cumulative cut across 10 verticals.

Overall · n = 2,331 questions · 200+ vendors
49.4%

of buyer questions go unanswered in HR Tech — the worst-performing vertical in the cohort. Compliance, integrations, and pricing all drive the gap.

HR Tech · n = 18 vendors
42.4%

of cybersecurity buyer questions produce no answer on the vendor's site. Enterprise-gated pricing and shallow compliance disclosure drive the gap.

Cybersecurity · n = 40 vendors
41.5%

of FinTech buyer questions are unanswerable. Regulatory posture and pricing model are the dominant gaps.

FinTech · n = 42 vendors
37.8%

of Sales/RevOps buyer questions go unanswered — competitive comparisons and implementation timelines are the worst categories.

Sales/RevOps · n = 24 vendors
Salespeak internal research · 200+ B2B SaaS vendors · 2,400+ evaluations · May 2026 · Wilson 95% CI on headline; per-category CIs widen with smaller n

Also tracked: MarTech 36.9% · DevTools 31.3% · Legal Tech 31.7% · Vertical SaaS 37.1% · CX AI 27.5% · AI Platform 23.6% (best-performing vertical — AI-native vendors document themselves better).

There is no such thing as AI traffic.

Four separate channels, each with a distinct buyer profile. Treating them as one averages away the signal that matters most.

ChatGPT
The volume
Widest reach, lowest per-visit intent. Reads everything, sends fewer buyers than its volume suggests. Tags its own outbound traffic with UTM parameters – visible in GA4 if you look.
84%of agent crawl volume
Claude
The buyer
The pricing-intent channel. Clicks pricing pages at roughly five times the rate of ChatGPT. Disproportionately present on comparison, “best of,” and vendor evaluation content.
pricing click rate vs. ChatGPT
Perplexity
The citer
The only agent whose UX sends users out to sources at scale. Lowest crawl volume among the four, highest click-through per crawl. Citations are the product.
2.9×click-through premium
Gemini
The phantom
Near-zero visible crawl footprint in server logs. Rides Google's existing index. Drives substantial referral traffic with no corresponding bot visit. Copilot follows the same pattern.
1K+monthly referrals, ~0 crawls
The consequence
You need a layer built for all of them, not one.
Continue reading — free

The next three findings are why we’re building an agent interaction layer.

You’ve seen what agents look like on a B2B site. What follows is the growth curve, the read-path vs write-path split, and the four-stage arc we believe defines the next three years of B2B buying. Leave your work email to keep reading and get the full 2026 Agent Traffic Benchmark delivered to your inbox.

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