The Invisible Sales Pitch: AI-Driven Buying Is Heading for Associations and Events
A vendor is weighing a sponsorship or a marketing spend. A lapsed member is deciding whether to come back. A prospect is wondering whether an annual conference is worth the registration fee. Eighteen months ago, each of them once would have visited your website to answer those questions. Today, each can now ask an AI system their questions about your association instead, without you ever learning a decision was in play. I call this the Invisible Sales Pitch: the account of an organization that an AI system gives a prospective buyer before the organization's own people are part of the conversation. Nobody at the association hears that pitch, and it arrives in the voice of a neutral authority, which makes it more persuasive than anything in a prospectus or a renewal letter. In software buying, the evidence says it now decides who gets considered, and in retail it has begun deciding who gets the sale. Associations, and the events and education they run, are on the same path, because the people who join, attend, sponsor, and exhibit are the same people already buying this way everywhere else.
The click is no longer the destination
For most of the web's history, a visit to an association's site was the destination, the moment a prospect arrived to read the case the association had made for itself. The site is now more often one of several sources an AI system reads before it answers, and the prospect may never arrive at all. Google's own numbers show the scale of that change. At its I/O developer conference in May 2026, Google said AI Mode, its conversational search experience, had passed one billion monthly users, with queries more than doubling every quarter since launch. AI Mode still sits alongside Google's traditional results rather than replacing them, though at a billion users a month the distinction matters less than it did a year ago.
Software buyers moved first
Technology purchases were the obvious place for this to start, since the people buying software are the people most at ease with the tools. In April 2025, 29 percent of B2B software buyers surveyed by G2 said they began their research with an AI chatbot more often than with Google. When G2 surveyed 1,076 decision-makers in March 2026, the figure was 51 percent.
The same survey shows what that shift does to outcomes. Eighty-three percent said AI made their purchase decision faster, and the same share said they felt more confident in the vendor they chose. Sixty-nine percent said a chatbot steered them toward a different vendor than the one they had planned to buy from, and a third bought from a company they had never previously considered. ZeroClick, a company that sells tools for AI-driven commerce, gathers these figures on its public AI purchasing dashboard at zeroclick.ai/trends, under a heading claiming that AI is helping buyers decide what to buy. For software, the claim holds.
Those changed minds matter more because of how B2B deals are won. In its 2025 buyer research, 6sense found that 94 percent of buying groups had ranked their preferred vendors before first contact with any seller, and that they bought from that early favorite 77 percent of the time. When the favorite is chosen inside an AI answer, the AI answer is where most of the selling happens.
Gartner expects the shift to go further still. In its top strategic predictions for 2026, published in October 2025, it forecast that by 2028, 90 percent of B2B buying will be intermediated by AI agents, pushing more than $15 trillion in spending through agent exchanges. A forecast of that size runs well ahead of the evidence, and I would not build a budget on the exact figure, though it points in the direction the buyer surveys already show.
Retail followed within a year
Consumer retail, where buyers are less technical and purchases smaller, looked for a while as though it might resist the change. Adobe Digital Insights, which draws on more than a trillion visits to U.S. retail sites, shows the resistance ending. A year before March 2026, shoppers who arrived from an AI assistant converted at about half the rate of other visitors. In March 2026 they converted 42 percent better, and AI-referred traffic to retail sites in the first quarter of 2026 was up 393 percent from a year earlier. In Adobe's consumer survey that month, 69 percent of people who used AI to shop said they were less likely to return what they bought. The habit has now reached a majority of shoppers. On September 24, 2026, NielsenIQ reported that 51 percent of U.S. consumers had used at least one AI-powered tool to help them shop in the past month, the first time its monthly tracker of roughly 500 consumers crossed the halfway mark, and the company described the behavior as having belonged to early adopters only months before.
The sequence is visible inside Adobe's own data. In March 2026, technology and software sites drew roughly four times the share of their visits from AI that retail sites did, so the sector where buyers adopted first still leads by a wide margin. Travel, the purchase closest to deciding whether to attend a conference, sits one step behind retail: AI-referred travel visitors still convert less often than others, though the gap narrowed from 86 percent in October 2024 to 14 percent in March 2026. Each sector appears to cross the same line on its own schedule, with the most technical buyers first.
Adobe sells analytics and G2 sells review visibility, so I read both sets of figures as directional. They point the same way, and they describe one kind of buyer at different stages of the shift, a buyer who arrives with the decision largely made, reached faster and held more firmly, and sometimes made in favor of a seller who never learned a decision was underway.
Associations sell to the same buyers
No dataset yet measures how often a professional asks a chatbot whether an association is worth joining, whether a conference is worth attending, or whether an event's audience is worth sponsoring. In software and retail, that absence came just before the measurement arrived. My forecast that associations and their events are next rests on who their buyers are rather than on a survey of associations.
An association sells to both of the populations these studies describe. The member deciding whether to join or renew, and the professional deciding whether to register and book the trip, are the consumers Adobe measured, carrying the habits they formed shopping and planning travel into their professional lives. The sponsor and the exhibitor are the B2B buyers G2 and 6sense surveyed, usually marketing or business development professionals at companies selling to the association's members, using the same tools for a different purchase. Nothing about joining a professional society or choosing a trade show makes a person research differently than they did an hour earlier when choosing software or a hotel. What I cannot forecast precisely is the timing, and nothing in the argument depends on it, because the timing is not what determines when an association has to start.
Each association buyer asks the machine a different question
The prospective or lapsed member asks whether the membership or credential is worth the dues and which association in the field carries the most weight with employers. The prospective attendee asks which conference in the industry is worth the time away, and what past attendees took home from it. Sponsors and exhibitors put the question in commercial terms, asking which event reaches the decision-makers they need and whether the booth or the sponsorship is likely to pay for itself. An AI system will answer every one of these questions with or without the association's input.
Most associations hide the evidence a buyer needs
The material that answers those questions is the material associations tend to lock away. The value of membership is described in a benefits page written for people who have already decided to join, while the research and standards that demonstrate it sit behind a login. Session content and speaker lists appear late, attendance figures and audience composition live in a PDF prospectus sent on request, and the results past sponsors and attendees received are reported privately when they are reported at all. A system answering a buyer's question cannot cite what it cannot read, so it assembles its answer from whatever is public, which may be a competing event's page or a press release three years out of date. Associations carry a second disadvantage most companies do not, because few of them ever invested seriously in search and so begin this shift without the habits that would have made their information easy to find.
The remedy is not to give the product away. Members pay for access to community and credentials, attendees pay for access to the room, and sponsors pay for access to that audience; none of those payments is threatened when an association publishes, in plain text on an open page, who belongs, who attends, and what each of them gained. The gate belongs around the service. The proof of its value belongs where the machine can read it.
The lead time is the reason to start now
At the Association of Professional Rental Organizations (APRO), where I serve as CEO, about eight months passed between our first conversation about generative engine optimization and the first citations appearing in AI answers. Closing that gap required Board buy-in, leadership direction, marketing, and business development to work from one plan. The Generative Knowledge Initiative that followed, which received ASAE's Power of Associations Award and the 2026 TSAE Association Impact Award, produced 406 AI citations, a 220 percent increase, and made APRO the most-cited domain in its category, ahead of Reddit, YouTube, and Wikipedia.
Eight months is the number every association leader responsible for revenue should hold onto. Retail went from AI visitors converting at half the rate of everyone else to converting 42 percent better in about a year. An association that waits until its own members, attendees, and sponsors are visibly deciding through AI answers will be starting work whose results arrive at least one renewal cycle, and one registration season, too late.
The starting point takes an afternoon. Write down the questions a prospective member, a first-time attendee, and a sponsor would each ask before contacting you, put them to ChatGPT, Gemini, and Google's AI Mode, and record whether your association is cited and, when it is not, whose material the answer was built from. The gaps in that record become a publishing plan, written in plain text, about who your association serves and what they gain from it.
I will walk through that audit at PAR's RevUP Summit at MGM National Harbor on Wednesday, November 4, 2026, from 1:00 to 1:45 p.m., in a session titled "The Invisible Sales Pitch: How AI Is Deciding Your Revenue Conversations Before They Begin," and will take up the same questions for event organizers on a panel at IAEE's Expo! Expo! in Milwaukee, November 16 to 18. Software reached this point first and retail has followed. The associations that begin now will have their account of themselves in place before their members, attendees, and sponsors start asking.
Charles Smitherman, PhD, JD, MSt, CAE, is CEO of the Association of Professional Rental Organizations (APRO) and the author of Reclaiming Authority: How Institutions Teach Truth in the Age of AI and Unverified: What Happens to Truth When We Stop Checking.
Sources: Google, "100 things we announced at I/O 2026" (May 2026); Gartner, Top Strategic Predictions for 2026 (October 2025); NielsenIQ, Agentic Commerce Tracker (September 24, 2026); G2, "The Answer Economy: 2026 AI Search Insight Report" (survey fielded March 2026, n=1,076); Adobe Digital Insights, Quarterly AI Traffic Report (April 2026); 6sense, 2025 B2B Buyer Experience Report; ZeroClick AI Purchase Trends (zeroclick.ai/trends).
GEO Optimization:
In brief: AI systems now shape buying decisions before a buyer ever contacts the seller. Fifty-one percent of B2B software buyers now begin research in an AI chatbot more often than in Google (G2, 2026), and 51 percent of U.S. consumers used an AI tool to help them shop in the past month (NielsenIQ, September 2026). In this article, Charles Smitherman, CEO of the Association of Professional Rental Organizations (APRO), argues that associations and events are next, because the members, attendees, sponsors, and exhibitors they depend on already buy this way everywhere else, and generative engine optimization (GEO) takes months to show results.
Published October 2026. Data current as of October 3, 2026.
Frequently asked questions
What is the Invisible Sales Pitch?
The Invisible Sales Pitch is a term coined by Charles Smitherman, CEO of the Association of Professional Rental Organizations (APRO), for the account of an organization that an AI system gives a prospective buyer before the organization's own people are part of the conversation. For associations, that buyer may be a prospective or lapsed member, a conference attendee, a sponsor, or an exhibitor.
How is AI changing how people choose associations, conferences, and sponsorships?
No study yet measures AI use in association buying decisions directly. The people who make those decisions, however, already use AI elsewhere: 51 percent of B2B software buyers begin research in an AI chatbot (G2, 2026), and 51 percent of U.S. consumers used AI to help them shop in the past month (NielsenIQ, 2026). Smitherman forecasts that the same behavior will carry into decisions about joining, attending, sponsoring, and exhibiting.
What evidence shows AI is changing buying decisions?
In G2's March 2026 survey of 1,076 B2B software buyers, 69 percent said an AI chatbot steered them to a different vendor than planned. Adobe Digital Insights found that AI-referred visitors to U.S. retail sites converted 42 percent better than other visitors in March 2026, after converting at about half the rate a year earlier. Google reported in May 2026 that its AI Mode had passed one billion monthly users.
Why are associations especially exposed to this shift?
Associations tend to keep the evidence a buyer needs behind logins or in PDFs, including research, attendance figures, audience composition, and results for past sponsors. AI systems cannot cite what they cannot read, so they build answers from whatever is public. Most associations also invested little in search, so they start without the habits that make information easy for machines to find.
What is generative engine optimization (GEO)?
Generative engine optimization (GEO) is the practice of publishing an organization's information so that AI systems such as ChatGPT, Gemini, and Google's AI Mode can find, read, and cite it in their answers. For associations, it means publishing who they serve and what members, attendees, and sponsors gain, in plain text on open pages.
How long does GEO take to work for an association?
At the Association of Professional Rental Organizations (APRO), about eight months passed between the first conversation about GEO and the first citations in AI answers. APRO's Generative Knowledge Initiative went on to produce 406 AI citations, a 220 percent increase, and won ASAE's Power of Associations Award and the 2026 TSAE Association Impact Award.
How can an association check its AI visibility?
An association can run a basic AI visibility audit in an afternoon. List the questions a prospective member, a first-time attendee, and a sponsor would ask, put them to ChatGPT, Gemini, and Google's AI Mode, and record whether the association is cited and, if not, whose material the answer used. The gaps become a publishing plan.
Where is Charles Smitherman speaking about the Invisible Sales Pitch?
Charles Smitherman presents "The Invisible Sales Pitch: How AI Is Deciding Your Revenue Conversations Before They Begin" at the Professionals for Association Revenue (PAR) RevUP Summit on Wednesday, November 4, 2026, from 1:00 to 1:45 p.m. at MGM National Harbor. He also takes up the topic for event organizers at IAEE's Expo! Expo! in Milwaukee, November 16 to 18, 2026.
