• AI visibility

Guide · AI search

How can B2B SaaS companies generate revenue from AI search?

By getting named on the shortlists AI assistants now build for software buyers, then converting that ready-made intent into trials, demos and contracts that renew. Buyer surveys say the shortlist is increasingly formed inside ChatGPT, Gemini, Perplexity and Google’s AI features, and a handful of SaaS companies report that AI referrals already bring in a tenth of their signups. What no one has yet published is a controlled link from AI visibility to annual recurring revenue (ARR), so treat the channel as real, fast-growing and still unproven at the contract level.

By Underneath Team Guide Updated

The short version

  1. A won SaaS customer tends to stay: private B2B SaaS companies in SaaS Capital’s 2025 survey reported median gross revenue retention of 95% on contracts above $250,000 a year and about 91% on smaller ones.
  2. Existing customers drive growth too: in Benchmarkit’s data, 40% of total new ARR came from customers a company already had, so a buyer first won through an AI answer can keep adding revenue.
  3. Shortlists are tiny: 2.6 products on average in TrustRadius’s (opens in a new tab) 2025 survey, and 70% of buyers purchased the product they had in mind when they drew it up.
  4. Company-reported examples show the channel converts: at Ahrefs (opens in a new tab), 0.5% of visits from AI search produced 12.1% of signups; ChatGPT referred about 10% of new Vercel (opens in a new tab) signups; at Webflow, ChatGPT traffic converted at 24%.
  5. The economics favor winning early: private SaaS companies spent a median of $2.00 in sales and marketing for each $1 of new ARR from new customers in 2024, per Benchmarkit’s data (opens in a new tab), and that revenue then recurs for years.

Who buys B2B software today, and what is a new customer worth?

A committee buys it, mostly on its own research, and each new customer is a stream of renewals.

Forrester’s 2026 buying study (opens in a new tab) counts 13 internal stakeholders and nine external influencers in a typical business purchase, with procurement among the decision-makers in 53% of buying cycles. Software committees are smaller at the core: G2’s 2025 report (opens in a new tab) found groups of 3 to 4 members rising, with IT part of nearly 50% of purchase decisions. Those buyers want to work alone for as long as they can. A Gartner survey of 632 B2B buyers (opens in a new tab) found 61% prefer a rep-free buying experience overall.

The cycle is shorter than many sales teams assume. Technology buyers in the TrustRadius survey reported an average deal cycle of 3.8 months, rising to 6.6 months for enterprise deals. 6sense’s 2025 study (opens in a new tab), which covers all kinds of B2B purchases, put the average at 10.1 months globally.

What makes SaaS different from most industries is what happens after the signature. SaaS Capital’s 2025 survey of private B2B SaaS companies found median gross revenue retention of 95% for companies with contracts above $250,000 a year and about 91% below that. Benchmarkit found that 40% of total new ARR now comes from existing customers. So a customer who first met you in an AI answer is not one sale. It is an annual contract, likely renewals and, often, expansion. Acquiring that customer is expensive: the $2.00 of sales and marketing spend per $1 of new-customer ARR above is up from $1.76 the year before.

At what point do SaaS buyers bring AI assistants into a purchase?

At the start and at the shortlist, alongside Google rather than instead of it.

G2’s 2026 survey found 71% of buyers rely on AI chatbots at some point in their research and 61% use them in tandem with Google. Some 41% use “Deep Research” tools for structured software evaluations, which return long reports ending in a recommended set of vendors. G2 also reports that AI chatbots are now the top source influencing buyer shortlists, ahead of review sites, analyst firms and vendor websites. Marketing leaders are one group where this shows; see how marketing software wins AI-first buyers.

Google’s own surface is just as present. In our study of 1,248 US searches, B2B software and technology keywords showed an AI Overview on 96.0% of searches, the highest of eight industries; after adjusting for the kind of searches each industry has, software stayed highest at 83.0%. TrustRadius found 72% of technology buyers had encountered AI Overviews during research, and 90% clicked through to the cited sources.

Not every survey agrees on the pace. The same TrustRadius report, fielded in early 2025, found only 7% of buyers using tools like ChatGPT as part of their buying process. Forrester describes generative AI search as the starting point for B2B buyers, but notes that buyers then validate with colleagues and outside influencers because the answers are often incomplete.

What kinds of questions do SaaS evaluators put to AI assistants?

Mostly shortlist questions: best tool for a situation, alternatives to an incumbent, head-to-head comparisons, price and fit.

G2 describes buyers “running head-to-head vendor comparisons” rather than basic education prompts. Tally, a form builder, noticed the same thing: its most likely explanation is that default web browsing made ChatGPT “more likely to recommend alternatives based on user intent,” citing searches like “simple or clean form builders.”

We wrote the example prompts below to show how SaaS evaluation questions tend to be phrased; none come from real buyer logs:

  • Category with constraints: “Best help desk software for a 30-person B2B support team on Salesforce.”
  • Alternatives: “Alternatives to Jira for a small engineering team that hates complexity.”
  • Comparison: “HubSpot vs Pipedrive for an outbound sales team: which is easier to adopt?”
  • Price and packaging: “How much does Intercom cost per seat with the AI agent included?”
  • Fit and risk: “Which data warehouse tools have SOC 2 Type II and EU data residency?”

Each type maps to a different stage. Category and “alternatives to” questions settle which SaaS products make the first list. Comparison, price and security questions settle which of them survive to a trial or demo. Prices are where answers slip most visibly: in our pricing study, only 61.9% of the plan prices four assistants quoted for 45 software products were fully faithful to the vendor’s pricing page. Whether vendor-written comparisons earn citations is covered in our article on comparison pages.

How does a mention in an AI answer become ARR?

Through the shortlist: the assistant names you, the buyer checks you, then trials or demos you, then renews.

Shortlist. Buyers decide early and rarely change their minds. 6sense found buying groups filled four of the five spots on their vendor shortlist on Day 1, and buyers bought from their top-ranked vendor 77% of the time. TrustRadius found 82% of buyers had a top product in mind when they made the shortlist. Yet the assistant can change that plan: in G2’s March 2026 survey of 1,076 software buyers (opens in a new tab), 69% said they chose a different vendor than planned because a chatbot recommended it, and 85% of buyers think more highly of a vendor when AI includes it in an answer. These are buyer-reported figures from a review platform with a stake in the topic.

Visit. Many buyers never click; those who do arrive ready. Ahrefs found its AI search visitors converted at a 23x higher rate than traditional organic search visitors, while estimating that people click links 75% less in AI assistants than in classic search. Webflow (opens in a new tab) told Growth Unhinged that 10% of its signups came from AI discovery, growing 4x year on year, with ChatGPT traffic converting at 6x the rate of Google. G2’s 2025 report put the gap at 40%: AI search-driven leads converted that much better than traditional search leads.

Trial or demo. Here the path splits by sales motion. Product-led companies see it in signups: Tally (opens in a new tab) says ChatGPT became its number one referral source, with over 2,000 tracked new users a week signing up via AI tools, and Vercel’s write-up credits AI search with helping Tally grow from $2M to $3M ARR in four months. Sales-led companies see it in demo requests and trials: Forrester found more than 60% of business buyers now use a trial, rising to 78% for purchases of $10 million or more, and TrustRadius found product demos the resource buyers consult most, at 55%.

Revenue. A signup is not a customer. Tally notes that about 2% of its free users eventually upgrade to its paid plan. Turning free signups into seat growth is the focus of our collaboration software guide. For sales-led SaaS, the AI answer rarely shows up as a referral at all; we infer it appears as a branded search, a direct visit or a buyer who already knows your name on the first call. That is why the full value sits in contract value and retention, not in click counts. Sales tool vendors are one example, since a shortlist built in an AI answer reaches them as demo requests, as our guide to turning AI answers into sales pipeline explains.

Why does an assistant put one SaaS product on its shortlist and not another?

The platforms say little; studies point to review sites, independent coverage, user communities and plainly stated product facts.

Documented by the platform. According to Google, AI Mode relies on a “query fan-out” technique (opens in a new tab): it runs multiple related searches across subtopics, then combines what comes back. A buyer’s single question can therefore pull in pages about pricing, integrations and reviews at once.

Observed in studies. When Chen and colleagues (opens in a new tab) asked US software ranking questions, AI search took 72.7% of its sources from independent “earned” sites, against 45.4% for Google. In our AI Overview research on B2B software searches, Google cited Reddit in 35.4% of answers, with communities such as r/projectmanagers and r/crmsoftware among the most cited, and cited a YouTube video on 91.0% of searches. Only 23.9% of the URLs those answers cited were page-one results. Being known is not enough: in a test of 112 Product Hunt startups, Sharma (opens in a new tab) found ChatGPT recognized 99.4% when asked by name but surfaced only 3.32% in discovery-style questions.

There is a stability advantage too. Of eight industries in our four-assistant study, B2B software showed the most agreement between assistants (an overlap score of 0.543 on a 0-to-1 scale), and our consistency study found its recommended brands the most stable across repeated runs (0.708). We infer that once a software brand is established in a category’s answers, its position is more durable than in local or retail categories.

Trust factors specific to SaaS. G2 reports that buyers rank citations from software review sites as their top signal of confidence in a chatbot’s answer, and that they distrust answers that differ across assistants. G2’s 2025 report adds that about 8 in 10 buyers face stricter IT security, legal and compliance reviews for AI software. A reasonable expectation is that public security documentation, integration lists and pricing pages carry weight at the comparison stage.

What does a SaaS company lose when the AI shortlist skips it?

Usually the deal itself, because buyers rarely add vendors after the shortlist forms.

TrustRadius found only 14% of buyers had a shortlist of four or more products, and 79% of buyers knew the product they purchased before they started researching. If the assistant builds a three-vendor list without you, there is little room to recover later in the cycle. G2’s finding that one in three buyers purchased from a vendor they had never heard of cuts both ways: challengers can win deals they could not have reached before, and category leaders can lose deals they never saw. AI video is a category where that cuts hardest, because buyers try several tools and switch cheaply, as our guide to how AI video tools win customers shows.

This loss rarely shows up in a SaaS dashboard. Ahrefs’ AI visitors were only 0.5% of its traffic, so a team watching visits would have missed that they brought in 12.1% of signups. Our article on lost clicks and pipeline looks at what fewer search clicks do to the top of a SaaS funnel.

What does GEO involve for a B2B SaaS vendor?

It improves what assistants can find and trust about your product; nobody can promise a shortlist slot.

For a SaaS company, generative engine optimization (GEO) usually spans six areas of work:

  1. Entity clarity. Describe the product, category, ideal customer and integrations the same way on your site, review profiles, documentation, marketplace listings and LinkedIn, so every assistant has one consistent story.
  2. Review platforms. Keep a steady flow of recent, specific reviews on the platforms your buyers use, because both buyers and answers lean on them at the decision stage.
  3. Independent coverage. Pursue the independent “best of” lists, newsletters, podcasts and practitioner communities your category’s buyers read. Our article on which pages to target covers this in detail.
  4. Decision-stage content, ungated. Publish honest comparison and alternatives pages, integration guides, security and compliance pages and implementation timelines. TrustRadius notes that AI models can only learn from publicly available content, so gated material does not reach them.
  5. Accurate pricing. Keep one current pricing page and retire old figures, since assistants can quote an older or adjacent figure from elsewhere on your site.
  6. Measurement tied to revenue. Track a fixed set of buyer prompts by stage across ChatGPT, Gemini, Perplexity, Copilot and Google, then connect it to self-reported attribution. Tally’s onboarding survey showed far more AI-sourced users than referral data did.

What can’t the evidence yet tell a SaaS company about AI-driven revenue?

Nobody has yet shown that AI visibility causes new ARR rather than simply arriving alongside it.

Most of the buyer data comes from surveys by companies that sell to software vendors, including review platforms whose own business benefits from the conclusion. Surveys also disagree: 51% said they start research with an AI chatbot more often than with Google in G2’s 2026 data, up from 29% a year earlier, against 7% using such tools in TrustRadius’s early 2025 data. The company examples come from developer and marketing tools whose buyers adopted AI early, and they are self-reported. No published study yet follows AI answers through to closed contracts and renewals. The field test we know of, covered in our article on business results, found that unoptimized pages grew too, which is a warning against crediting every rise to your own work.

How should a SaaS company check whether AI shortlists feed its trials and demos?

Map which assistants name you for the questions that come before your trials and demo requests.

Run your category, alternatives, comparison and pricing questions through the main assistants, then line the results up against trial, demo and pipeline data, so each gap is ranked by contract value and renewal potential rather than by mentions alone. To build that view together, ask us for an audit of your SaaS shortlists. Our generative engine optimization service page explains how the program runs after that audit, from review platforms and ungated decision-stage pages to measurement tied to trials and pipeline.

Frequently asked questions

Do AI assistants use G2 and other review sites when recommending software?

G2 reports that buyers see citations from software review sites as their strongest reason to trust a chatbot’s answer. Studies of software questions also find that AI search leans on independent sites more than Google does. How much any single review platform weighs in a given assistant is not documented.

Does AI search traffic convert better for SaaS companies?

In the cases published so far, yes. Ahrefs, Webflow and G2 all report higher conversion from AI-referred visitors than from traditional search. These are company-reported figures, and part of the gap may come from fewer, more decided visitors rather than from AI itself.

Should SaaS companies publish “alternatives to” and comparison pages?

Yes, as long as they treat competitors fairly. Buyers ask comparison and alternatives questions, and assistants look for pages that answer them. Pages that only praise you, or rank you first on your own site, are a weak bet; see our comparison-page research summary.

How do you measure revenue from AI search in a SaaS business?

Combine three signals: how often assistants name you for your buyers’ questions, AI referral signups and demo requests, and what new customers say when asked how they found you. Then trace those accounts through to first-year contract value and each renewal.

Sources

Free strategy call

Some questions are easier to answer about your own business.

Bring the one that matters most. On a free 30-minute call we’ll take a first look at it and send you a short written read afterward.

Ask about my businessHow we work