Friday, May 29, 2026

Instruments, Traits, and Actual Purchaser Knowledge


Why belief G2 on AI

G2 does not simply index AI instruments. We use AI to energy our personal platform, and our information comes from thousands and thousands of verified consumers who use these instruments each day.

#1

Most cited B2B supply in LLMs

G2 leads AI quotation share with 22.4% throughout ChatGPT, Perplexity, and Google AI Overviews.

How G2 leads AEO →

G2.ai

G2’s AI software program shopping for assistant

G2.ai helps consumers describe their wants in pure language and make sooner software program choices.

Strive G2.ai →

1st-party

AI analysis from G2’s personal information

Enterprise AI Brokers, Purchaser Conduct, and Reply Economic system stories. All first-party G2 analysis.

G2 Analysis Hub →

Browse the complete G2 AI class →

What’s synthetic intelligence?

Synthetic intelligence is software program that performs duties usually requiring human intelligence, corresponding to understanding language, recognizing photographs, making predictions, and producing content material.

Most fashionable AI depends on machine studying, by which methods enhance by processing information moderately than following hand-coded guidelines.

Full G2 explainer → | AI terminology A-Z →

A short historical past of AI

2024-2026 · AI at working scale

Over 75% of organizations use AI. Agentic AI strikes from pilot to manufacturing.

2022-2023 · Generative AI goes mainstream

ChatGPT launches and reaches 100M customers in 2 months, the quickest shopper tech adoption ever (2022). GPT-4, Claude, Bard, and Gemini comply with (2023).

1993-2020 · Brokers and deep studying

Deep Blue beats the chess world champion (1997). Apple launches Siri (2011). Google’s neural community learns to acknowledge cats from unlabeled photographs (2012). AlphaGo defeats Go’s world champion (2016). GPT-3 enters testing (2020).

1957-1987 · Maturation and increase

McCarthy creates LISP (1958). The primary industrial robotic debuts at GM (1961). ELIZA, the primary chatbot, launches (1966). Skilled methods hit business markets (1980); Japan invests $850M in AI (1981).

1950-1956 · Delivery of AI

Alan Turing publishes “Computing Equipment and Intelligence” (1950), proposing the Imitation Recreation. John McCarthy cash “synthetic intelligence” on the Dartmouth workshop (1956).

Full historical past of AI → | Belief in AI →

What are the several types of synthetic intelligence?

By functionality, it consists of Slim AI, AGI, and Superintelligence. Slim AI is the one kind that exists at this time, whereas AGI and Superintelligence stay theoretical. By operate, AI consists of Generative AI for content material creation, Agentic AI for autonomous job execution, Predictive AI for forecasting outcomes, and reasoning fashions for fixing complicated issues step-by-step.

By functionality

Exists at this time

Slim AI (weak AI)

Slim AI powers all the things from spam filters to ChatGPT and Claude. “Slim” refers back to the scope of functionality, not sophistication; even superior LLMs function inside outlined domains moderately than possessing basic reasoning.

Hypothetical

Synthetic basic intelligence (AGI)

A system that might change contexts and purpose throughout any area a human can. Researchers disagree on each definition and timeline, with severe predictions starting from a number of years away to by no means.

Theoretical

Synthetic superintelligence (ASI)

A system that exceeds human cognitive capacity throughout each area, together with science, creativity, and social intelligence. Most frequently mentioned in AI security and alignment contexts. No scientific consensus on whether or not it’s achievable.

By operate

Generative AI

Educated on huge datasets to supply new outputs throughout textual content, photographs, code, audio, and video. Energy instruments like GPT, Claude, and Midjourney.

Agentic AI

It goes past producing responses by taking actions corresponding to querying databases through instrument calls and API integrations.

Predictive AI

Constructed on statistical fashions and machine studying, Predictive AI identifies patterns in historic information to forecast outcomes.

Reasoning fashions

A more recent class of AI that causes step-by-step earlier than responding, designed for complicated coding, math, and evaluation duties.

Kinds of AI → | Slim AI →| AGI →| Generative AI →

What are the purposes of synthetic intelligence?

Synthetic intelligence is used throughout advertising and marketing, buyer assist, gross sales, engineering, and HR to automate duties and enhance effectivity. Frequent AI purposes embody content material creation, chatbots, assembly transcription, gross sales prospecting, code era, recruiting, and AI agent improvement.

Rankings proven are G2 reviewers’ common chance to advocate on a 0–10 scale.

Advertising and marketing

7 classes · 14K opinions

G2’s largest AI vertical by overview quantity. AI Content material Creation Platforms prime the vertical at 9.53/10, forward of AI Presentation Instruments at 9.47/10 and AI Avatar Turbines at 9.43/10. AI Writing Assistants lead by quantity with 7K opinions; AI Content material Creation Platforms additionally grew +110% YoY.

9.53/10

Common chance to advocate for AI Content material Creation Platforms, the highest-rated advertising and marketing AI class

G2 AI Assessment Knowledge

Productiveness

5 classes · 12.5K opinions

Highest-rated AI vertical among the many seven core enterprise capabilities at 9.35/10. Spans assembly seize (AI Assembly Assistants 9.40/10), note-taking, writing help, doc era, and basic enterprise brokers. AI Brokers for Enterprise Operations lead by quantity at 4.8K opinions; AI Be aware-Taking Software program grew +1,263% YoY.

+1,263%

YoY overview progress for AI Be aware-Taking Software program, the fastest-growing AI class on G2

G2 AI Assessment Knowledge

Buyer expertise

5 classes · 8.8K opinions

AI Chatbots dominate by quantity at 3.8K opinions. AI Buyer Help Brokers grew +432% YoY as consumers change conventional helpdesk instruments with agentic AI. The vertical averages 9.09/10, among the many lowest in AI on G2, with Conversational Interface Brokers pulling the common down at 8.67/10.

+432%

YoY overview progress for AI Buyer Help Brokers

G2 AI Assessment Knowledge

Gross sales

4 classes · 5.9K opinions

AI Gross sales Assistants dominate at 4K opinions with a 9.33/10 common. Income AI Platforms maintain 1.6K opinions. AI SDRs are the fastest-growing gross sales AI at +259% YoY and price 9.58/10, the very best within the vertical. The gross sales vertical averages 9.27/10 throughout all 4 classes.

+259%

YoY overview progress for AI SDRs

G2 AI Assessment Knowledge

Platform infrastructure

6 classes · 5K opinions

The foundational layer powering all different AI verticals: agent builders, giant language fashions, ML platforms, and orchestration. AI Agent Builders lead adoption at 2.6K opinions and grew +719% YoY. Massive Language Fashions rating 9.20/10; legacy Machine Studying sits lowest at 8.86/10.

+719%

YoY overview progress for AI Agent Builders

G2 AI Assessment Knowledge

Engineering

6 classes · 2.6K opinions

Spans code era, coding assistants, app builders, software program testing, documentation era, and IT operations. AI Code Era leads at 1K opinions and grew +109% YoY. AI Software program Testing Instruments sit lowest within the vertical at 8.95/10.

+109%

YoY overview progress for AI Code Era

G2 AI Assessment Knowledge

HR

2 classes · 1.5K opinions

Smallest devoted AI vertical on G2 however among the many fastest-growing. AI Recruiting leads at 871 opinions and grew +651% YoY; the class is now categorised as high-risk beneath the EU AI Act with necessary bias audits. AI Brokers for HR rating the very best within the vertical at 9.16/10.

+651%

YoY overview progress for AI Recruiting

G2 AI Assessment Knowledge

Different purposes

9 classes · 871 opinions

AI purposes lengthen past the seven core enterprise capabilities. Safety has the deepest specialised protection on G2 with 5 devoted AI classes spanning Governance, AI-SPM, AppSec Assistants, AI Safety Options, and Non-Human Identification Administration (438 opinions at 9.14/10). AI in healthcare leads all AI purposes on G2 at 9.63/10 throughout Affected person Engagement and Ambient Scribes. AI Assistants for Monetary Companies maintain 335 opinions at 9.17/10.

9.63/10

Common chance to advocate for healthcare AI classes, the very best of any AI vertical on G2

G2 AI Assessment Knowledge

What are the most effective AI instruments and software program?

The perfect AI instruments and software program rely on the duty, however G2 customers mostly undertake AI writing assistants, AI chatbots, AI assembly assistants, AI gross sales assistants, AI video mills, AI coding instruments, AI recruiting software program, and AI agent builders to automate repetitive work, enhance productiveness, and scale enterprise operations.

Class Greatest for Who makes use of it G2 useful resource
AI writing assistants Drafting, enhancing, website positioning writing, long-form content material Content material writers, entrepreneurs, website positioning groups See the checklist →
AI brokers for enterprise operations Multi-step workflow automation with out fixed human enter Operations, RevOps, and cross-functional groups See the checklist →
AI gross sales assistants Deal teaching, CRM updates, assembly summaries, pipeline intelligence Account executives and gross sales managers See the checklist →
AI chatbots Automating conversations for assist, lead qualification, and inner FAQs Buyer assist, advertising and marketing ops, IT helpdesks See the checklist →
AI assembly assistants Assembly transcription, summarization, and motion merchandise seize Anybody who attends conferences; used throughout gross sales, ops, and govt roles See the checklist →
AI video mills Producing AI-generated video content material, avatars, and explainers from textual content or scripts Advertising and marketing, gross sales, L&D, and creator groups See the checklist →
AI code era Producing, finishing, and refactoring code with pure language prompts Software program engineers and developer groups See the checklist →
AI agent builders Constructing customized AI brokers and orchestrating multi-step workflows Platform groups, AI engineers, and technical RevOps See the checklist →
AI recruiting Sourcing, screening, and scheduling candidates with AI; bias-aware workflows Expertise acquisition, HR ops, recruiting businesses See the checklist →
Generative AI Creating textual content, photographs, and code from prompts; foundation-model instruments like ChatGPT, Claude, and Gemini Anybody evaluating general-purpose AI assistants See the checklist →

See the most well-liked AI instruments →

How do you consider AI software program?

Evaluating AI software program comes down to 5 standards: output high quality, integration, time to ROI, information privateness, and vendor transparency. Patterns throughout 48K+ verified AI software program opinions on G2 between Could 2025 and April 2026 present output high quality and integration friction because the most-cited dissatisfaction drivers, whereas vendor transparency constantly separates the highest-rated instruments from the remainder.

How probably G2 reviewers are to advocate their AI software program (0–10):

78.8%

Would advocate their AI instrument to a peer

Rated 9 or 10 out of 10

3.0%

Would actively warn a peer off it

Rated 6 or beneath

9.21/10

Common chance to advocate

Throughout 45,250 distinctive reviewers

Criterion What to search for What consumers say in opinions
Output high quality Does the AI produce outcomes you possibly can truly use? Search for customization controls, domain-specific tuning, and hallucination mitigation. Generic outputs that don’t adapt to context are probably the most incessantly cited criticism throughout AI gross sales and advertising and marketing instruments on G2.
Integration Does it connect with your CRM, information stack, and workflows out of the field? Search for native integrations over API-only connections, which consumers constantly flag as sources of friction. Integration and setup friction is constantly cited throughout AI gross sales assistant opinions on G2; probably the most generally cited explanation for AI agent workflow failures.
Time to ROI Ask distributors for median time-to-ROI, not averages. The fastest-deploying AI classes on G2 go dwell in beneath a month and present ROI inside 6 months. Machine studying software program tends to take notably longer than different AI classes to indicate ROI, a niche distributors not often disclose upfront.
Knowledge privateness The place is your information processed? Does the AI prepare in your inputs? Ask distributors immediately about information residency and mannequin coaching insurance policies. Consumers constantly flag the absence of clear information insurance policies as a purpose they delayed or reversed buy choices.
Vendor transparency Search for responsive assist, sincere functionality claims, and clear pricing. Pricing transparency and configuration complexity are among the many commonest ache factors cited throughout G2’s AI agent opinions.

G2 analysis and stories on AI

G2 publishes data-driven stories on AI adoption, purchaser conduct, and market developments, backed by G2’s proprietary overview and survey information.

G2 flagship stories

2026 business outlook

G2’s Enterprise AI Brokers Report: 2026 outlook

Vendor survey on the maturity, autonomy, and outcomes of AI brokers.

Learn →

Annual survey

Purchaser Conduct Report 2025: AI at all times included

1.1K+ B2B decision-makers; two-thirds issue AI into buy choices.

Learn →

Attain 2025 keynote

AI mega developments: Reworking the way forward for go-to-market

How AI is reshaping go-to-market throughout gross sales and advertising and marketing.

Watch →

G2 analysis by operate

AI resolution intelligence in advertising and marketing: G2’s 2026 business report Learn →

The state of AI gross sales intelligence in prospecting: G2’s 2026 report Learn →

AI in information integration: G2’s 2026 vendor insights Learn →

G2 management on AI

Views from G2’s management staff, grounded in platform information and first-party analysis.

Software program model visibility within the AI search period  · Godard Abel, CEO Learn →

G2 and Profound partnership for AEO and AI search  · Godard Abel, CEO Learn →

How AI brokers are delivering actual enterprise affect  · Tim Sanders, CIO Learn →

G2’s product improvements for the AI reply economic system  · Alexis Zheng, CPTO Learn →

Conversational opinions for an AI-first period  · Alex David, GM, AI Options Learn →

AI statistics

Figures from The Reply Economic system: How AI Search Is Rewiring B2B Software program Shopping for, G2’s April 2026 analysis report, based mostly on a survey of 1,000+ B2B software program consumers and decision-makers throughout North America, EMEA, and APAC.

51%

of B2B software program consumers now begin their analysis with an AI chatbot extra typically than with Google.

71%

depend on AI chatbots in some unspecified time in the future of their software program analysis course of, up from 60%.

69%

selected a unique software program vendor than initially deliberate based mostly on AI chatbot steering

33%

bought from a vendor they’d by no means beforehand heard of earlier than AI surfaced them

85%

suppose extra extremely of a software program vendor when an AI chatbot mentions them in a advice

80%

say AI chatbots have accelerated their software program buying choices

Learn the complete Reply Economic system report →

AI glossary

Brief definitions of the phrases you’ll encounter most frequently when evaluating AI software program.

Time period Definition Learn extra
Synthetic intelligence (AI) The flexibility of a pc system to carry out duties that sometimes require human intelligence, together with studying, reasoning, problem-solving, and language understanding. G2 glossary →
Machine studying (ML) A subset of AI the place methods be taught from information to enhance efficiency with out being explicitly programmed for every situation. G2 glossary →
Deep studying A subset of machine studying that makes use of multi-layered neural networks to establish patterns in giant datasets. Powers picture recognition, speech recognition, and generative AI fashions. G2 glossary →
Generative AI AI fashions that create new content material (textual content, photographs, code, audio, or video) by studying patterns from coaching information. Consists of LLMs like GPT-4, Claude, and Gemini. G2 glossary →
Massive language mannequin (LLM) A kind of generative AI skilled on huge textual content information to know and generate human language. The engine behind most fashionable AI chatbots and writing assistants. G2 glossary →
Pure language processing (NLP) The AI department that permits computer systems to know, interpret, and generate human language. Powers chatbots, search, translation, and sentiment evaluation. G2 glossary →
Immediate engineering The observe of crafting inputs to AI fashions to get particular, high-quality outputs. A key talent for anybody deploying LLM-based software program in manufacturing. G2 glossary →
Algorithmic bias Systematic errors in AI outputs that produce unfair outcomes for particular teams, often traced to biased coaching information or flawed mannequin design. A rising concern in hiring, lending, and healthcare AI. G2 glossary →
Human-in-the-loop (HITL) An method the place people overview, appropriate, or approve AI choices throughout operation. Frequent in high-stakes deployments the place accuracy or accountability is essential. G2 glossary →

Browse G2’s full glossary →

FAQs about synthetic intelligence

Discover solutions to some generally requested questions on AI.

Fashionable AI learns patterns from information as an alternative of following hard-coded guidelines. A mannequin is skilled on a big dataset, then utilized to new inputs as soon as deployed. The capabilities most individuals use at this time (chatbots, code mills, voice assistants, picture instruments) are constructed on deep studying, which makes use of layered neural networks to seize patterns at scale.

Enterprise AI adoption clusters round 5 capabilities: content material era (writing, design, video), conversational interfaces (chatbots, helpdesks), workflow automation, information evaluation, and software program improvement help. Adoption is highest in roles with repetitive text-and-communication work, and rising quickest in operations, engineering, and HR.

Consumers analysis and shortlist software program by AI chatbots earlier than visiting a vendor’s web site. By the point a purchaser reaches a gross sales dialog, the seller has typically been evaluated and both included or excluded by an AI mannequin summarizing third-party sources. The shift is from search engine marketing to reply engine optimization (AEO): structuring content material so AI fashions can discover, cite, and advocate it precisely. G2’s Reply Economic system Report covers this intimately.

The principle sample is a niche between vendor promise and operational actuality. Consumers typically anticipate AI to work autonomously out of the field, then be taught that constant outcomes require cautious prompting, integration work, and human overview. Critiques are likely to favor distributors who place AI as a technique to speed up human work with structured oversight, moderately than as a hands-off substitute. How nicely expectations match actuality at buy time typically predicts long-term satisfaction.

Development on G2 exhibits up in two dimensions: overview quantity and purchaser site visitors. By year-over-year overview progress, the leaders are Conversational AI Survey Platforms (+1,126%), Reply Engine Optimization (+907%), Agentic AI (+382%), AI Voice Assistants (+150%), and AI Writing Assistants (+59%). By purchaser site visitors progress, AEO (+496%), Buyer Service Automation (+450%), and AI SDRs (+85%) lead. Machine Studying nonetheless attracts heavy purchaser site visitors regardless of slower overview progress, suggesting consumers consider ML platforms greater than they overview them.

Two patterns separate the strongest AI rollouts from weaker ones. AI-native merchandise constantly outscore legacy instruments which have AI options added on; reviewers describe the latter as stitched collectively and gradual to adapt. Merchandise that match cleanly into present workflows present sooner time-to-value than ones requiring groups to alter how they work. The strongest predictor of ROI is a slim, well-defined use case, not breadth of options.

The clearest technique to see the distinction is a workflow instance. Ask a generative AI to write down a follow-up electronic mail and it produces the e-mail. Give an agentic AI the objective “comply with up with this lead” and it pulls the prospect file, drafts the e-mail, schedules the follow-up, updates the CRM, and logs the end result, none of which required step-by-step prompting. The shift is from producing content material on demand to executing multi-step work towards a objective.

4 considerations dominate enterprise discussions: bias (notably in hiring, lending, and healthcare AI), information dealing with (whose information is used for coaching, the place it’s saved, who can entry it), explainability (whether or not choices will be audited), and accountability (who’s accountable when AI produces incorrect outputs). Regulation is catching up; the EU AI Act and rising US state legal guidelines are codifying these into purchase-time necessities. For software program consumers, due-diligence on coaching information, mannequin conduct, and incident response is more and more customary observe.

About this information. The figures cited on this web page come from G2’s proprietary information. Assessment-based statistics are drawn from 48K+ verified AI software program opinions submitted to G2 between Could 1, 2025 and April 30, 2026, spanning 85 AI software program classes and 2K+ distinct merchandise. Every overview is independently permitted earlier than publication.

Survey-based statistics come from G2’s revealed analysis, together with The Reply Economic system: How AI Search Is Rewiring B2B Software program Shopping for, the Enterprise AI Brokers Report, and the 2025 Purchaser Conduct Report.

Aggregations, year-over-year progress charges, class breakdowns, and ranking distributions had been calculated utilizing G2’s Snowflake information warehouse with AI-assisted evaluation through Anthropic’s Claude.



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