• AI visibility

Guide · AI search

How can sales software companies turn AI answers into pipeline?

By getting named when revenue leaders ask an AI assistant which sales engagement, intelligence, prospecting or enablement tool to shortlist, then converting that intent into demos and pilots before a competitor does. Sales leaders are watching their own buyers move to AI research, and they now buy their tools the same way. The evidence that AI visibility moves pipeline is growing but mostly company-reported; nobody has yet measured its effect on closed revenue.

By Underneath Team Guide Updated

The short version

  1. Sales software accounts are large: Gong (opens in a new tab) reported more than $500 million in recurring revenue in May 2026 and more than 5,000 customers (opens in a new tab), which works out to roughly a hundred thousand dollars a customer on our arithmetic.
  2. The category is growing and expanding inside accounts: Clay (opens in a new tab) raised money at a $7.1 billion valuation after 4x revenue growth in 2025, and HubSpot said Sales Hub seat upgrades were up 71% year over year.
  3. Demand that arrives is often wasted: when Clay (opens in a new tab) submitted 6,346 demo and contact forms, only 32% got an email reply and 96% of companies never phoned.
  4. Sales tools are moving into the assistant itself: HubSpot (opens in a new tab) said over 20,000 customers had used its ChatGPT and Claude connectors, and Outreach (opens in a new tab), Apollo (opens in a new tab) and ZoomInfo (opens in a new tab) all now offer apps inside ChatGPT.
  5. Trust is the gate: in Gong’s research (opens in a new tab) with more than 2,000 US and UK leaders, 58% of companies had stalled AI projects, with data and security concerns the top reason (34%).

Who on the revenue team buys sales tools, and what is one account worth?

Revenue leaders sign, revenue operations evaluates, and a won account can be worth six figures a year.

Sales software covers several categories with different buyers inside the revenue team. Sales engagement platforms (Outreach, Salesloft) run sequences and cadences. Revenue and conversation intelligence (Gong, Clari) records calls and forecasts deals. Data and prospecting tools (ZoomInfo, Apollo, Clay) find and enrich contacts. Enablement platforms (Highspot, Seismic) manage content and coaching. Revenue operations usually runs the evaluation, frontline managers test it, and security and finance review it before the contract.

The customer values are high and growing. Gong said it added more $1 million-plus customers in its last two quarters than in the previous six combined. Clay, the prospecting data platform, has more than 17k customers. Expansion is built in: HubSpot told investors that Sales Hub seat upgrades were up 71% year over year. A sales software customer found through an AI answer is rarely a one-time sale; it is a seat count that can grow with the sales team.

The pain these buyers bring is specific. In Highspot’s survey of 463 senior go-to-market leaders (opens in a new tab), 98% said their strategy was in motion but only 10% said they were driving successful initiatives. Gong, a vendor with a stake in the claim, says sellers spend 77% of their time on non-selling activities. Buyers arrive looking for proof that a tool closes that gap.

When do revenue leaders consult AI assistants while choosing sales tools?

At discovery and shortlisting, and sales leaders see the same shift in their own pipelines.

Sales leaders know AI-assisted buying from the other side of the table. In Gartner’s survey of 646 B2B buyers (opens in a new tab), 45% had used AI during a recent purchase and 67% preferred a rep-free experience. In a second Gartner survey of 645 buyers (opens in a new tab), presented at its CSO and Sales Leader Conference, 69% preferred to validate AI-generated insights with sales reps. Buyers were split on which source is more likely to mislead them: about half said AI, and 49% said a sales rep. These are the conditions sales leaders are buying tools for, and the way they shop themselves.

For software purchases specifically, AI is now part of how the shortlist forms. G2’s 2026 survey of more than 1,000 software buyers (opens in a new tab) found that buyers who sourced recommendations from AI chatbots bought from their initial shortlist in at least three of their last five purchases 80% of the time, against 65% for buyers who did not. Review sites (38%) and AI chatbots (37%) were the top sources shaping the shortlist. G2 runs a review platform, so it has a stake in that conclusion. Marketing leaders show the same habit, covered in how marketing software companies win buyers.

Google is a second AI surface with its own behavior. In our AI Mode and AI Overviews study, on 46 B2B software searches where both cited sources, the mean overlap between the pages they cited was 0.144 on a 0-to-1 scale. In practice, being cited in one of Google’s AI answers says little about the other.

Which questions do sales leaders ask AI about sales software?

Fit, data quality, integration, proof and price, framed around their own team and motion.

We made up the prompts below to show how a CRO or RevOps lead might phrase a question; they are not recorded queries:

  • Category fit: “Best sales engagement platform for a mid-market team selling into healthcare on Salesforce.”
  • Data quality: “Which B2B contact data provider has the most accurate direct dials in Europe?”
  • Alternatives: “Alternatives to Gong for conversation intelligence that cost less for a small team.”
  • Consolidation: “Can one tool replace our sequencing, dialer and call recording?”
  • Security and compliance: “Which call recording tools keep data in the EU and do not train on customer calls?”
  • Proof: “What results have companies reported after rolling out an AI sales agent?”

Each question maps to a decision. Category and alternatives questions settle which sales tools make the first cut. Data, integration and security questions decide who survives revenue operations and the security review. Proof questions decide whether a pilot gets funded. Our article on comparison pages looks at how side-by-side content for sales tools gets used at that point.

What path runs from an AI answer to a sales software demo and pilot?

The answer names you, the buyer checks reviews, requests a demo, then runs a pilot.

Shortlist. If the assistant leaves you off a short list, you rarely get added later. G2’s 80% figure above is the clearest measure of how sticky an AI-shaped shortlist is.

Demo request. This is where many vendors lose the opportunity they earned. Clay’s experiment used agents to fill in 6,346 demo and contact forms across 100 countries. Only 2,013 forms (32%) got an email reply, about 7% got a reply from a salesperson, and average speed to lead was 15 to 24 hours. Clay notes that a fictional buyer profile and spam filters may have cut response rates. For a sales software company, whose buyers judge it partly on how it sells, a slow reply to an AI-referred demo request is especially costly.

Pilot and contract. Enterprise sales tools are usually proven in a pilot with one team before a wider rollout. We infer that the AI answer’s main effect here is on who gets invited to pilot, not on the pilot result, which depends on data quality, adoption and integration.

What it costs to be missing. The loss rarely shows up in analytics. A revenue leader who asked an assistant for three conversation intelligence tools and never saw your name does not appear in your funnel at all. We look at that blind spot in what lost clicks to AI answers mean for pipeline.

Why does it matter that sales tools now run inside ChatGPT?

Because the assistant is becoming the place sellers work, not only where buyers research.

HubSpot said it was the first CRM to launch connectors with both ChatGPT and Claude, and that over 20,000 customers had used them to access insights across 23 million CRM records. Outreach launched an app that is available in the ChatGPT app directory, describing it as the first revenue orchestration platform available natively in OpenAI’s products. Apollo says its ChatGPT app lets sellers search prospects, enrich contacts and add them to sequences without leaving the conversation, and ZoomInfo offers its data inside ChatGPT as well.

These facts are documented by the vendors. What follows is our inference: when sellers already work inside an assistant, the vendors present there gain a second kind of visibility, as a tool the assistant can use as well as one it can recommend. A sales software company with no presence in the assistant ecosystems its buyers use risks being invisible in both roles. Outreach’s own numbers suggest the pace of change: it reported 480% year-over-year growth in AI recurring revenue in one quarter.

Why do assistants put some sales tools on the shortlist and not others?

The platforms say little; research and buyer behavior point to reviews, consistent facts and visible data-security proof.

What Google states. According to Google (opens in a new tab), a single question to AI Overviews or AI Mode may set off a “query fan-out,” with multiple related searches across subtopics and data sources, and a page needs nothing beyond normal search eligibility to appear. A question about prospecting data can therefore pull in review pages, comparison articles and vendor documentation at once. See the hidden searches AI assistants run.

Observed in studies. B2B software answers are more stable than most. Of the eight industries in our four-assistant study, B2B software showed the most agreement between assistants (0.543); our consistency study found its recommended brands held steadiest when a question was repeated (0.708). We infer that a sales software brand that becomes established in its category’s answers holds that position better than brands in local or retail categories do, and that a newcomer has to work harder to break in. Our guide to why AI keeps naming the same CRMs shows how challengers get in.

Trust factors specific to sales software. These tools record customer calls, store contact data and increasingly act on their own. Gong’s research found that one in four sales calls in its data referenced security, and that 46% of planned AI investments had been paused because of trust concerns. A reasonable expectation is that clear, public documentation of data handling, model training policies, certifications and CRM integrations helps both the human buyer and the assistant describing you. Verifiable customer results matter too, because sales leaders will ask for them. Support software vendors face the same demand for proof, as our guide to customer support software shows.

What does GEO mean in practice for a sales tech vendor?

It improves what assistants can find and verify about your sales tool, without any promised shortlist spot.

  1. Category clarity. State plainly which category you are in (engagement, intelligence, data, enablement or a mix), which motion you serve and which CRMs you integrate with, the same way on your site, review profiles, partner marketplaces and documentation.
  2. Reviews that name the use case. Keep recent reviews flowing on the platforms revenue teams check, mentioning team size, motion and results.
  3. Independent proof. Earn coverage in the newsletters, podcasts, communities and analyst-style comparisons sales leaders read. To choose which of those outlets to pursue first, read our piece on which pages to target.
  4. Public trust documentation. Publish security, privacy, data-source and AI-training pages in plain language, ungated, so assistants and security reviewers can find the same answers.
  5. A presence where sellers work. Where it fits your product, consider the assistant app directories and connectors your buyers use, and keep those listings as accurate as your website.
  6. Fast follow-up. Treat AI-referred demo requests as your hottest leads and measure speed to lead, because the visibility is wasted if the reply comes a day later.
  7. Tracking question by question. Follow category, alternatives and comparison questions for your sales tool across ChatGPT, Gemini, Perplexity, Copilot and Google, then match each one against demo requests and self-reported attribution. See what to measure for AI visibility.

Sales tools follow many of the patterns in how B2B SaaS companies earn revenue from AI search.

What can’t we yet say about AI answers and sales software pipeline?

Nobody has shown how much closed sales software pipeline AI visibility causes, rather than merely accompanies.

Most figures here come from vendors describing their own growth or from surveys by companies that sell to software buyers. The Gartner surveys describe B2B buyers in general, not sales software buyers alone. Clay’s experiment used a single made-up buyer and may understate response rates. No published study follows sales leaders from an AI answer to a pilot and a signed contract, and the effect of being available inside ChatGPT on new customer acquisition has not been measured. For how a sales tech vendor could test that itself, read how to prove GEO caused a change in sales.

How should a sales tech vendor check whether AI answers feed its demo calendar?

Find out which AI shortlists name you for the questions revenue leaders ask before booking demos.

Map the category, alternatives, data, security and proof questions your buyers ask, check them across the main assistants, and compare the answers with your demo requests and pipeline by segment. Then time how fast your team responds to the demo requests you already get. We can audit your AI shortlist presence alongside your demo data, so any plan to close the gaps is judged by demo volume and pipeline rather than by visibility alone. The generative engine optimization service page lays out what that plan covers for a sales tool, including review profiles, public trust documentation and question-by-question tracking.

Frequently asked questions

Do sales leaders use ChatGPT to choose sales software?

Many do some of their research there. No published survey isolates sales leaders, but surveys of software buyers find AI chatbots now rival review sites in shaping shortlists, and sales leaders see the same behavior in their own buyers.

Does being available as an app in ChatGPT help a sales tool get recommended?

There is no published evidence either way. Vendors document the apps; whether an assistant favors tools it can connect to is not documented by the platforms, so treat any claim that it does as unproven.

Which matters more for AI visibility: review sites or our own website?

Both play a role. Buyers and studies point to independent reviews and coverage for discovery, while your own pages need to state facts clearly, including pricing, integrations and security, so answers describe you correctly.

How quickly should we respond to demo requests that come from AI search?

As fast as you can. Clay’s experiment found most companies took most of a day or never replied, so a same-day response, ideally within minutes, sets you apart.

Sources

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