G2’s AI Hub Turns Buyer Reviews Into Market Signals

G2’s AI – G2 says its AI category leadership is powered by first-party data from 48K+ verified AI reviews submitted between May 1, 2025 and April 30, 2026, along with a survey on how B2B buyers use AI chatbots during software research. The company’s latest AI hub materi

For years, software buying has been guided by spreadsheets, demos, and gut instinct. G2’s pitch is that the modern starting point is different: an AI assistant, a natural-language request, and a trail of verified reviews from buyers who actually used the tools.

G2 says it doesn’t just index AI products. It uses AI to power its own platform, and it claims its underlying data comes from millions of verified buyers who use these tools daily. The company points to 3M+ verified reviews in total—plus 48K+ AI software reviews submitted in the past year.

That review volume sits at the center of how G2 positions its AI marketplace. The company says it is the #1 most cited B2B source in LLMs, leading AI citation share with 22.4% across ChatGPT, Perplexity, and Google AI Overviews.

Alongside the review data, G2 is also pushing an assistant designed to shorten the distance between need and purchase. G2.ai, described as an AI software buying assistant, helps buyers describe their needs in natural language and make faster software decisions.

The commercial logic is clear enough: if buyers are using AI to research software. the sellers that get surfaced—or filtered out—can shift quickly. G2 tries to quantify that shift with its own survey-based materials. part of what it calls “The Answer Economy: How AI Search Is Rewiring B2B Software Buying.” In that April 2026 research. based on a survey of 1. 000+ B2B software buyers and decision-makers across North America. EMEA. and APAC. G2 reports that 51% of B2B software buyers now start their research with an AI chatbot more often than with Google.

The same data set points to AI’s influence across the full funnel: 71% rely on AI chatbots at some point in their software research process. up from 60%. G2 says 69% chose a different software vendor than initially planned based on AI chatbot guidance. while 33% purchased from a vendor they had never previously heard of before AI surfaced them. It also reports that 85% think more highly of a software vendor when an AI chatbot mentions them in a recommendation. and 80% say AI chatbots have accelerated their software purchasing decisions.

G2’s AI hub doesn’t stop at buyer behavior. It lays out where AI is going—and what categories buyers are looking at—using review-based scoring. Buyers’ average likelihood to recommend is tracked on a 0–10 scale. with a reported 78.8% of G2 reviewers saying they would recommend their AI tool to a peer (rated 9 or 10 out of 10). Only 3.0% say they would actively warn a peer off it, and they rate 6 or below. Across 45,250 unique reviewers, G2 says the average likelihood to recommend is 9.21/10.

The hub groups AI tools by business function. and the numbers are meant to show both where review volume concentrates and where satisfaction is highest. In Marketing—described as G2’s largest AI vertical by review volume—G2 says there are 7 categories and 14K reviews. It reports that AI Content Creation Platforms top the vertical at 9.53/10. followed by AI Presentation Tools at 9.47/10 and AI Avatar Generators at 9.43/10. G2 says AI Writing Assistants lead by volume with 7K reviews and that AI Content Creation Platforms grew +110% year over year.

In Productivity, G2 reports 5 categories and 12.5K reviews, with an average likelihood to recommend of 9.35/10. It says this vertical spans meeting capture (AI Meeting Assistants 9.40/10), note-taking, writing assistance, document generation, and general business agents. For volume. G2 says AI Agents for Business Operations lead with 4.8K reviews. while AI Note-Taking Software grew +1. 263% year over year—the fastest-growing AI category on G2 within the materials provided.

Customer experience shows how agentic tools are pushing against older helpdesk models. G2 reports 5 categories and 8.8K reviews, with AI Chatbots dominating by volume at 3.8K reviews. It says AI Customer Support Agents grew +432% year over year as buyers replace traditional helpdesk tools with agentic AI. Yet G2 also says the vertical averages 9.09/10—among the lowest in AI on G2—while Conversational Interface Agents pull the average down to 8.67/10.

Sales is smaller but tightly defined in the hub’s scoring. G2 says there are 4 categories and 5.9K reviews, with AI Sales Assistants dominating at 4K reviews and a 9.33/10 average. Revenue AI Platforms hold 1.6K reviews. G2 says AI SDRs are the fastest-growing sales AI at +259% year over year and rate 9.58/10. the highest in the vertical. with the sales vertical averaging 9.27/10 across all 4 categories.

At the platform layer—“the foundational layer powering all other AI verticals”—G2 reports 6 categories and 5K reviews. It says AI Agent Builders lead adoption at 2.6K reviews and grew +719% year over year. Large Language Models score 9.20/10, while legacy Machine Learning sits lowest at 8.86/10.

Even engineering and HR have their place in the hub’s map of demand. In Engineering. G2 says there are 6 categories and 2.6K reviews. spanning code generation. coding assistants. app builders. software testing. documentation generation. and IT operations. It reports AI Code Generation leading at 1K reviews with +109% year over year growth. while AI Software Testing Tools sit lowest at 8.95/10. In HR. the hub frames the vertical as the smallest dedicated AI vertical on G2 with 2 categories and 1.5K reviews. but also “among the fastest-growing.” It says AI Recruiting leads at 871 reviews and grew +651% year over year. and that the category is now classified as high-risk under the EU AI Act with mandatory bias audits. It also says AI Agents for HR score the highest in the vertical at 9.16/10.

Beyond core business functions, the hub expands into security and healthcare. G2 reports that Security has the deepest specialized coverage on G2 with five dedicated AI categories spanning Governance. AI-SPM. AppSec Assistants. AI Security Solutions. and Non-Human Identity Management. In that coverage, it lists 438 reviews at 9.14/10. For healthcare, G2 says AI in healthcare leads all AI applications on G2 at 9.63/10 across Patient Engagement and Ambient Scribes. It also reports that AI Assistants for Financial Services hold 335 reviews at 9.17/10.

The hub’s measurement system also shows up in how G2 says buyers evaluate AI software in the first place. It lists five criteria: output quality, integration, time to ROI, data privacy, and vendor transparency. G2 says patterns across 48K+ verified AI software reviews submitted to G2 between May 1. 2025 and April 30. 2026 show output quality and integration friction as the most-cited dissatisfaction drivers. It also says vendor transparency consistently separates the highest-rated tools from the rest.

G2 ties those criteria to specific buyer complaints. It describes generic outputs that do not adapt to context as the most frequently cited complaint across AI sales and marketing tools. It says integration and setup friction is consistently cited across AI sales assistant reviews as a source of AI agent workflow failures. and that buyers flag the absence of clear data policies as a reason they delayed or reversed purchase decisions. On transparency. it says pricing transparency and configuration complexity are among the most common pain points cited across G2’s AI agent reviews.

The hub’s definitions and timelines try to meet buyers where they are—still sorting out what “AI” even means. It defines artificial intelligence as software that performs tasks normally requiring human intelligence. including understanding language. recognizing images. making predictions. and generating content. It says most modern AI relies on machine learning, where systems improve by processing data rather than following hand-coded rules.

Then it breaks AI into types by capability—Narrow AI. artificial general intelligence. and artificial superintelligence—and by function. including Generative AI. Agentic AI. Predictive AI. and reasoning models. It also lays out a brief history with dated milestones. from Alan Turing’s “Computing Machinery and Intelligence” in 1950 and John McCarthy coining “artificial intelligence” at the Dartmouth workshop in 1956. to Apple launching Siri in 2011. and GPT-3 entering testing in 2020.

All of that background matters because the hub’s core claim depends on buyers believing AI isn’t just a feature. G2 argues that buyers are using AI both to evaluate tools and to change their minds. The survey findings—about starting with AI chatbots. relying on them. switching vendors. and buying from vendors they previously didn’t know—paint a buying cycle that accelerates once AI becomes part of discovery.

In the end. G2’s AI hub reads less like a glossary and more like a map of how purchasing power is being redistributed. When 51% of buyers start research with AI more often than Google. and when 69% choose different vendors than planned after AI chatbot guidance. the competitive stakes for software vendors change. G2’s numbers aim to show where buyers look. what they complain about. and what separates high recommendation scores from warnings.

G2 also frames its own reports as a continuing feed of market data. Its materials list an annual flagship report. “G2 State of Software: AI growth and buyer sentiment.” It points to a 2026 industry outlook called “G2’s Enterprise AI Agents Report: 2026 outlook. ” a “Buyer Behavior Report 2025: AI always included” based on 1.1K+ B2B decision-makers with two-thirds factoring AI into purchase decisions. and a 2025 keynote titled “AI mega trends: Transforming the future of go-to-market.”.

Under the hood. G2 says its review-based figures come from 48K+ verified AI software reviews submitted between May 1. 2025 and April 30. 2026 across 85 AI software categories and 2K+ distinct products. with each review independently approved before publication. It says survey-based statistics draw from its published research. and that aggregations. year-over-year growth rates. category breakdowns. and rating distributions were calculated using G2’s Snowflake data warehouse with AI-assisted analysis via Anthropic’s Claude.

For software companies, the message is straightforward even if the tooling is complex: in this market, the product isn’t only competing on capability. It’s competing on what buyers—and AI chatbots built from third-party signals—say it is.

G2 G2.ai AI software reviews B2B software buying AI chatbots AI search answer economy AEO LLM citations enterprise AI agents AI recruiting AI note-taking AI SDRs integration friction vendor transparency EU AI Act bias audits