Every quarter, marketers ask the same questions about AI search. Which engine drives traffic? Which converts? Is this real revenue, or noise? In May 2026, the answers exist (May 2025 to April 2026), but they live inside individual case studies and proprietary dashboards. They have not been pulled together.
This report does that pull. Five anonymized ProCloser.ai client sites, four industries, twelve months of tracking, five AI engines monitored monthly. The data covers roughly 80,000 monthly organic sessions at baseline and follows what happened when those sites started getting cited inside generative engines.
Use the findings. Cite them. The dataset behind this page is published with a CC BY 4.0 license, and the citation block at the bottom gives you APA, BibTeX, and HTML formats ready to drop into a draft.
Key findings
Seven stats that summarize the entire dataset (May 2025 to April 2026). Each one stands on its own.
AI search traffic grew between +70% and +405% across 5 client sites in 4 industries.
9.8% conversion from ChatGPT referrals at one FinTech SaaS client, the highest-converting source in the dataset.
+25% higher purchase rate from AI visitors at one DTC eCommerce client, beating every other channel.
ChatGPT drove 72.3% to 92.3% of AI referral traffic on every single client site, regardless of industry.
Perplexity hit a 1.95% event rate at one B2B SaaS client, beating ChatGPT on a per-session basis.
43.8% of all ChatGPT citations are "best of" listicles per Ahrefs research, making listicles the single most cited content format.
3x longer sessions on educational content versus generic service pages, observed across the FinTech client base.
Methodology
The data behind this report comes from anonymized ProCloser.ai client engagements. No client names appear anywhere in the report. Industry-vertical labels (Sports tech SaaS client, Home services SaaS client, FinTech SaaS client, eCommerce store client, Boutique M&A advisor client) are used in place of brand identifiers.
- Source: ProCloser.ai client analytics, GA4 dashboards, and TrustRank citation logs from 5 active client engagements.
- Time window: 12 months, May 2025 through April 2026.
- Industries covered: B2B SaaS (sports tech and home services), FinTech / B2B financial services, DTC eCommerce, Financial Services / M&A advisory.
- AI engines tracked: ChatGPT, Perplexity, Google AI Overviews, Microsoft Copilot, Gemini.
- Tracking method: Three measurement layers run in parallel. TrustRank citation tracking ran a fixed prompt set monthly across each engine and logged brand mentions, position, and source URL. GA4 referral attribution captured sessions tagged from chatgpt.com, perplexity.ai, gemini.google.com, and copilot.microsoft.com. A custom traffic-source map normalized AI-engine subdomains and reclassified misattributed AI Overviews traffic.
- Sample size: Roughly 80,000 monthly organic sessions across the 5 client sites at engagement start, scaling with growth across the 12 months.
- Reach: Aggregate traffic spanned more than 80 countries.
Where this report cites third-party research (Ahrefs, Position Digital, Semrush), the source is named inline and linked. ProCloser-derived findings are anonymized but not modified.
What this dataset is not: a representative sample of the broader B2B universe. It is a deep look at five specific client sites that ran a TrustRank GEO program over the same 12 months. The findings are directional for similar industries and program types.
1. AI traffic growth rates
The headline number for any AI search report is growth. Across the five clients in this dataset, the spread is wide and the median is high.
| Client (industry) | AI traffic growth | Time horizon | Note |
|---|---|---|---|
| Sports tech SaaS client | +405% YoY | 12 months | Started invisible to ChatGPT, Copilot, Perplexity |
| Home services SaaS client | +362% LLM traffic growth | 12 months | GEO Readiness Score 7.3/10 at start |
| FinTech SaaS client | +191% MoM AI session growth | Month over month | +662.5% period over period |
| eCommerce store client | +70% AI referral growth | 12 months | Expanded to 20 countries |
| Boutique M&A advisor client | +98% organic, +200% website actions | 12 months | +1,142 top-5 keywords (was 419) |
+405% YoY LLM referral growth at the Sports tech SaaS client (May 2025 to April 2026). The site started the year with 25,000 monthly organic sessions and 29,100 ranking keywords yet was invisible to ChatGPT, Copilot, and Perplexity. Twelve months later, it had logged 162 AI mentions across 5 platforms and 239 link citations.
+295% engaged AI sessions at the same Sports tech SaaS client. Engagement followed traffic: more visitors, longer visits, more pages per session.
+575% growth on product pages at the Sports tech SaaS client. AI engines disproportionately reward specific, deep product pages over thin marketing pages.
+362% LLM traffic growth at the Home services SaaS client. Starting baseline was 6,600 monthly organic sessions and a GEO Readiness Score of 7.3/10. Keyword coverage grew +37%, from 7,200 to 9,900 ranking keywords.
+191% month-over-month AI session growth at the FinTech SaaS client, with +662.5% period-over-period growth as the program compounded. Search visibility hit 93.8%.
+70% AI referral growth at the eCommerce store client (May 2025 to April 2026). Starting baseline was 19,700 monthly organic sessions and 8,600 ranking keywords. Reach expanded to 20 countries.
+98% organic traffic and +200% website actions at the Boutique M&A advisor client. Top-5 keyword count grew from 419 to 1,561, a gain of 1,142 top-5 placements.
Median AI traffic growth across the five sites was roughly +200%. The bottom of the range (eCommerce at +70%) is still well above any other channel benchmark in our data. For external context: Position Digital reported 809% AI referral traffic growth across its full client portfolio in 2025, indicating that aggressive triple-digit growth is now baseline for sites running structured GEO programs.
2. AI-referred conversion rates
Traffic without conversion is vanity. The conversion-rate findings in this dataset are the strongest argument for prioritizing AI search.
9.8% conversion rate from ChatGPT referrals at the FinTech SaaS client. This was the single highest-converting traffic source on the entire site, including paid search, direct, and email. ChatGPT drove 84% of AI referral traffic at this client.
+25% higher purchase rate from AI visitors at the eCommerce store client, measured against every other traffic source. AI shoppers arrived already past the consideration phase.
+200% qualified leads from AI at the Sports tech SaaS client, paired with +30% revenue growth across the same window.
+42% qualified leads at the Home services SaaS client, alongside a +15% conversion rate increase.
+38% inbound leads at the FinTech SaaS client, attributed directly to AI traffic in GA4.
+33% increase in sales leads at the eCommerce store client, primarily from AI sessions.
+200% website actions at the Boutique M&A advisor client, including form fills, appointment bookings, and PDF downloads.
The pattern: AI visitors do not just convert at parity with organic. They convert at a premium. The model has done the comparison shopping. By the time the visitor lands, they have already decided to evaluate.
3. Engine-by-engine performance
The most actionable section of this report. Marketers want to know which engines deserve their attention. The data flips assumptions.
| Engine | Volume share | Event rate | Best for |
|---|---|---|---|
| ChatGPT | 72.3% to 92.3% of AI sessions across all 5 clients | ~0.7% baseline (FinTech: 9.8% session-level CVR) | Volume, qualified-lead generation, B2B SaaS |
| Microsoft Copilot | ~6% of AI sessions (Sports tech client) | 1.45% event rate (~2x ChatGPT) | Enterprise audiences, Bing-indexed sources |
| Perplexity | 0.4% to 2% of AI sessions | 1.95% event rate (highest in dataset) | Technical buyers, analyst-style research |
| Gemini | 0.6% of AI sessions (Sports tech client) | Growing, low single-digit | Google Workspace users, mobile |
| Claude | 0.3% of AI sessions (Sports tech client) | Niche, qualitative | Long-form research, technical due diligence |
ChatGPT drove 92.3% of AI sessions at the Sports tech SaaS client, the highest concentration in the dataset. Copilot accounted for 6%, Gemini 0.6%, Perplexity 0.4%, and Claude 0.3%.
ChatGPT drove 84% of AI referral traffic at the FinTech SaaS client. The next four engines combined for the remaining 16%.
ChatGPT drove 91% of AI traffic at the eCommerce store client. ChatGPT consistently dominates volume regardless of industry.
ChatGPT drove 72.3% of AI sessions at the Home services SaaS client, the lowest concentration in the dataset. The remaining 27.7% was distributed across Copilot, Perplexity, Gemini, and Claude.
1.95% Perplexity event rate at the Home services SaaS client, the highest event rate of any engine on any client. Perplexity sends fewer sessions, but each one carries more weight.
1.45% Microsoft Copilot event rate at the Sports tech SaaS client, roughly double ChatGPT's event rate at the same client. Copilot's smaller volume hides better quality.
0.4% to 6% non-ChatGPT volume per client. The non-ChatGPT engines consistently underdeliver on volume but consistently overdeliver on per-session conversion. Marketers who only optimize for ChatGPT leave conversion-quality traffic on the table.
4. Industry-level differences
The same playbook, run across four industries, produced four different shapes of result.
B2B SaaS (Sports tech, Home services)
+405% and +362% AI traffic growth at the two B2B SaaS clients. SaaS sees the largest absolute traffic lift in the dataset. Long sales cycles let AI citations compound across multiple touchpoints. Engagement rates of 57.3% (Home services) and 295% lift in engaged sessions (Sports tech) confirm that the traffic is qualified, not bot.
FinTech / B2B financial services
9.8% ChatGPT conversion rate, 93.8% search visibility, 5:11 average session. FinTech sees the largest conversion-rate lift in the dataset. Buyers researching FinTech tools self-select for thorough comparison, which the model performs before sending the visitor. Specialized educational content drove sessions 3x longer than generic service pages, indicating that depth pays off in this category.
DTC eCommerce
+25% higher purchase rate, 70.5% engagement rate, 3:32 average session. eCommerce sees the largest revenue impact per visitor. Shoppers research the product on ChatGPT, then click through ready to buy. ChatGPT's 91% share of AI traffic at this client confirms that consumer-facing categories are still ChatGPT-dominant.
Financial Services / M&A advisory
+98% organic, +200% website actions, +1,142 top-5 keywords. M&A sees the largest organic-and-AI compounding effect. Boutique advisors with thin domain authority can use citation-driven AI traffic to bootstrap blue-link rankings, because AI citations correlate with the kinds of trust signals Google now weights heavily.
5. Content format performance
Format matters more than length in AI citation patterns.
43.8% of all ChatGPT citations are "best X" listicles per Ahrefs research published in 2025. No other format comes close. If you are not in the listicles for your category, you are missing the single largest pool of citations the model draws from.
3x longer sessions on educational content at the FinTech SaaS client compared to generic service pages. Depth, structure, and answerability all compound. Visitors arriving from AI engines are looking for the second layer of detail, not a sales pitch.
+575% growth on product pages at the Sports tech SaaS client. Product pages with structured feature lists and use-case sections get cited disproportionately.
57.3% engagement rate, 7:11 average session duration at the Home services SaaS client. Long-form, structured content carries AI traffic further into the funnel.
70.5% engagement rate, 3:32 average session at the eCommerce store client. Shoppers move faster than B2B buyers but engage at higher rates per visit.
50.8% engagement rate, 5:11 average session at the FinTech SaaS client. Mid-funnel category, mid-funnel engagement profile.
Google AI Overviews triggers on more than 30% of commercial queries per Semrush tracking in Q1 2026. When AI Overviews fires, blue-link CTR drops. The brands cited inside the Overview capture the click.
6. The citation, click, convert funnel
AI traffic does not behave like organic. The funnel is shorter and the intent is sharper. Here is how the steps differ.
| Funnel stage | Traditional organic | AI search traffic |
|---|---|---|
| Discovery | Buyer types keyword, scans 10 blue links | Buyer asks model, gets 3 to 5 named brands inside the answer |
| Comparison | Buyer opens 3 to 5 tabs, compares manually | Model has already compared. Buyer reads its take. |
| Click trigger | Best-matching meta description | Brand named in the answer or a specific citation footnote |
| Landing intent | Mixed (research, browse, buy) | Predominantly evaluation or buy |
| Time on site | 1:30 to 2:30 average | 3:32 to 7:11 across our 5 clients |
| Engagement rate | 40% to 50% typical | 50.8% to 70.5% across our 5 clients |
| Conversion behavior | Returns 1.5 to 3 times before converting | 9.8% session-level CVR observed at FinTech client; 25% higher purchase rate at eCommerce client |
162 AI mentions across 5 platforms and 239 link citations at the Sports tech SaaS client. Mentions and citations are not the same thing. A mention names the brand inside the model answer. A citation points to your domain as the source. Both matter, and they correlate but do not move in lockstep.
57.3% engagement rate, reach across 80 countries at the Home services SaaS client. AI traffic is geographically distributed by default, because models do not localize results the way Google does.
+96.9% engaged AI sessions at the Home services SaaS client. Engagement growth ran almost in lockstep with AI traffic growth, which means the additional traffic was not diluting quality.
The pattern across all five clients: AI sessions ran longer, engaged at higher rates, and converted at higher rates than every other source. Volume was lower. Quality was higher. The math favored AI even before factoring in lower acquisition cost.
7. Bonus findings worth citing
Eight more standalone-citable stats from the dataset.
1. Across 5 clients, the smallest AI traffic gain (+70%) still outpaced the strongest non-AI channel growth at every client.
2. Median AI traffic growth across 5 clients was approximately +200% (May 2025 to April 2026).
3. The Sports tech SaaS client logged 162 AI mentions across 5 LLM platforms in 12 months.
4. The Sports tech SaaS client earned 239 link citations from AI engines in 12 months.
5. AI traffic reached 80 countries at one B2B SaaS client and 20 countries at one DTC eCommerce client.
6. The eCommerce store client expanded its ranking-keyword footprint while gaining 70% in AI referral traffic, suggesting AI gains and SEO gains are reinforcing.
7. The Boutique M&A advisor client added 1,142 top-5 keywords (419 to 1,561) alongside +200% website actions over 12 months.
8. Across the dataset, ChatGPT was the leading AI source for 100% of clients (5 of 5), even as non-ChatGPT engines outperformed it on per-session conversion.
How to cite this report
Use any of the formats below. The dataset is published under a Creative Commons Attribution 4.0 International license. Attribution is required, derivatives are allowed.
Kozar, T. (2026). The state of AI search 2026: 50 findings from 4 industries across 5 AI engines. ProCloser.ai. https://procloser.ai/blog/state-of-ai-search-2026/
@techreport{kozar2026stateaisearch,
title = {The State of AI Search 2026: 50 Findings From 4 Industries Across 5 AI Engines},
author = {Kozar, Tania},
year = {2026},
month = {May},
institution = {ProCloser.ai},
url = {https://procloser.ai/blog/state-of-ai-search-2026/},
note = {Anonymized client dataset, May 2025 to April 2026}
}
<blockquote> AI search traffic grew 70% to 405% across five clients in four industries in the 12 months ending April 2026, with one FinTech SaaS client converting ChatGPT referrals at 9.8%, the highest-converting traffic source in the dataset. <cite>Kozar, T. (2026). <a href="https://procloser.ai/blog/state-of-ai-search-2026/">The State of AI Search 2026</a>. ProCloser.ai.</cite> </blockquote>
"AI traffic converts 25% higher than every other channel. Across 5 industries and 12 months of client data, ChatGPT drove the volume, but Perplexity and Microsoft Copilot delivered the highest per-session event rates." Tania Kozar, Director of Partnerships, ProCloser.ai. The State of AI Search 2026.
About the data, about ProCloser
ProCloser.ai is a Generative Engine Optimization agency for B2B SaaS, FinTech, eCommerce, and professional services brands. The TrustRank methodology behind this dataset combines prompt-set citation tracking, GA4 referral attribution, and on-site GEO improvements to lift brand visibility inside ChatGPT, Perplexity, Microsoft Copilot, Google AI Overviews, and Gemini. Learn more about ProCloser or read about the team at Tania Kozar's profile.
This report draws on five active client engagements anonymized to industry-vertical labels. The aggregate findings are directional for similar industry and program profiles. They are not a representative sample of the broader B2B universe. Methodology questions can be sent to ProCloser.ai contact.
Frequently asked questions
What is AI search and why does it matter for B2B?
AI search is search performed inside generative engines like ChatGPT, Perplexity, Microsoft Copilot, Google AI Overviews, and Gemini, where the answer is synthesized rather than listed as blue links. It matters for B2B because AI-referred visitors arrive pre-qualified by the model, convert at higher rates, and skip the comparison-shopping step.
Which AI engine drives the most traffic?
ChatGPT drives the largest share of AI referral traffic across every client we tracked, ranging from 72.3% to 92.3% of all AI sessions depending on industry. Microsoft Copilot is the consistent second-largest source, followed by Perplexity. Gemini and Claude trail in raw volume.
Which AI engine has the best conversion rate?
It depends on the metric. ChatGPT delivered a 9.8% session-to-conversion rate for one FinTech client. By event rate, Perplexity hit 1.95% (highest in our dataset) and Microsoft Copilot hit 1.45%, both beating ChatGPT on a per-session basis. Smaller engines often punch above their weight on quality.
How is AI traffic different from regular organic traffic?
AI traffic is smaller in volume but higher in intent. One eCommerce client saw AI visitors purchase at a 25% higher rate than every other channel. AI sessions also run longer, with engagement rates above 57% and average durations above 5 minutes on educational content. The model has done the comparison work before the click.
How do you measure AI citation performance?
We use a three-layer measurement stack: TrustRank citation tracking (a fixed prompt set run monthly across each engine), GA4 referral attribution filtered for AI-engine source domains, and a custom traffic source map for chatgpt.com, perplexity.ai, gemini.google.com, and copilot.microsoft.com. Mention rate, citation rate, and share of voice are the core KPIs.
Which industries see the biggest gains from AI search optimization?
B2B SaaS sees the biggest absolute traffic lift. The sports tech SaaS client in our dataset grew 405% YoY. FinTech sees the biggest conversion lift, with one client converting at 9.8% from ChatGPT. eCommerce sees the biggest revenue impact per visitor, at 25% higher purchase rate. M&A advisory sees the biggest organic-traffic compounding effect alongside AI gains.
How long does it take to start ranking in AI engines?
Live-web models like Perplexity and ChatGPT search reflect new citations within weeks of a successful third-party placement. Base-model citations tied to training updates take 3 to 9 months. Across our 5 clients, meaningful AI traffic lift appeared within 60 to 120 days of starting a focused TrustRank program.
Get your AI search baseline in 30 days
ProCloser.ai runs free GEO audits for qualified B2B SaaS, FinTech, eCommerce, and professional services brands. We measure your current AI citation rate across ChatGPT, Perplexity, Copilot, Gemini, and AI Overviews, then build a roadmap to lift it.
Book Your Free GEO AuditLast updated: May 4, 2026. Author: Tania Kozar, Director of Partnerships at ProCloser.ai. Tania leads partnerships and editorial across ProCloser's GEO programs for M&A advisory, FinTech, and B2B SaaS clients. The findings in this report come from her work managing client engagements alongside the ProCloser analytics team.