The Shift to AI Chatbots in B2B Research: Ross Simmonds Explains the ‘Answer Economy’

In a recent LinkedIn post, Ross Simmonds discusses a significant shift in B2B buyer behavior, moving away from traditional search engines towards AI-powered chatbots for initial research. Simmonds highlights findings from G2’s latest Insight Report on the ‘Answer Economy,’ which surveyed over 1,000 B2B buyers, underscoring a move from ‘reference to inference’ where buyers expect immediate answers with minimal friction.

According to Simmonds, the era where buyers relied solely on Google’s ten blue links and manually compiled spreadsheets is over. He points to the increasing prevalence of AI chatbots in the early stages of the buyer’s journey.

“51% now start their software research with an AI chatbot more often than Google.”

This statistic, Simmonds emphasizes, signifies a fundamental change in how first impressions are formed. Instead of a company’s homepage, these initial encounters are now happening within AI platforms like ChatGPT, Gemini, and Claude, often in digital spaces where brands may not have a direct presence.

The Impact of AI on Buyer Consideration

Simmonds argues that a brand’s visibility and accuracy within AI responses are now critical for inclusion in the buyer’s consideration set. If an AI cannot find a company or misrepresents it, that company effectively ceases to exist in the eyes of the potential buyer during their research phase.

The G2 report, as interpreted by Simmonds, reveals several striking data points about AI’s influence:

• 69% chose a different vendor than initially expected due to AI insights.
• 33% purchased from a brand they had never encountered before AI surfaced it.
• 80% of buyers report that AI accelerated their purchasing decision.

Simmonds further elaborates on the implications for vendor evaluation:

“Buyers are running structured, multi-source vendor evaluations inside AI tools. What took a team days now takes one buyer an afternoon.”

This acceleration means sales teams are engaging with prospects who have already completed a significant portion of their research, often facilitated by AI-generated shortlists. The critical question for businesses, as posed by Simmonds, is whether they are appearing on these AI-driven shortlists.

Foundational Elements for ‘Answer Engine Optimization’

Ross Simmonds contends that brands currently succeeding in gaining AI citations are not employing novel strategies but are instead diligently executing foundational marketing and sales principles that many companies have historically overlooked. He refers to this disciplined approach as ‘Answer Engine Optimization’ (AEO).

Key Pillars of AEO, According to Simmonds:

• Consistent review generation on relevant platforms.
• Active third-party presence and community participation.
• Broad content distribution across all applicable channels.
• Maintaining clear and consistent positioning across all touchpoints.

Simmonds stresses that AEO is a result of years of consistent execution of these fundamental tasks, rather than a complex, cutting-edge methodology. He concludes by urging leaders in Go-To-Market (GTM), marketing, and revenue roles at B2B companies to prioritize reading the G2 report, framing it as an essential resource for understanding the evolving buyer landscape.

“The brands winning AI citations are doing something boring. They’ve spent years executing fundamentals most teams treated as optional.”

The insights shared by Ross Simmonds underscore the urgent need for businesses to adapt their strategies to meet buyers where they are, increasingly within AI-driven research environments.