AI Indexes
GTM AI Index
October 2026 Edition · The permanent record of this edition. The unqualified address always carries the latest edition.
Index › Customer › Support chatbots › Small business › October 2026 Edition

Chatbots and conversational AI for support for small business buyers

Asked as “customer support chatbot platform”, and as “conversational AI tool for customer service”, on behalf of a small B2B company. 55 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
38%
Contested · Intercom Fin AI Agent 18%
38Tidio18Intercom Fin AI Agent04Drift40others

38% of first choices, contested.

Since September 2026▼−4Since September 2026: 41% → 37%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Tidio held the lead, −4 points on 41%, inside the 11-point floor.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.

The standing

Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for a small B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Tidio38%7%61endorsed leader▼−4Since September 2026: 41% → 37%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.41% → 37%
02Intercom Fin AI Agent18%34%50criticized challenger▼−6Since September 2026: 20% → 14%, −6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.20% → 14%
03HubSpot Service Hub4%0%16accepted challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 4%
04Freshdesk4%0%13accepted challenger▼−4Since September 2026: 8% → 4%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.8% → 4%
05Drift4%52%21criticized challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 4%
06Crisp2%0%21accepted challenger▼−4Since September 2026: 6% → 2%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.6% → 2%
07Chatbase2%25%16criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%
08Zendesk AI2%38%32criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%
Show the three products at 0%, ordered by negative rate
11ManyChat0%20%10accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
10Freshchat0%14%14accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
09Help Scout0%0%12accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%

The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured

Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
All fifteen head-to-head pages: the top six products, each against each

Recommended versus criticized

Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.

Criticized challengerCriticized default
Negative label rate →
01
02
03
04
05
06
07
08
09
F10
11
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01Tidio38%
02Intercom Fin AI Agent18%
03HubSpot Service Hub4%
04Freshdesk4%
05Drift4%
06Crisp2%
07Chatbase2%
08Zendesk AI2%
09Help Scout0%
10Freshchat0%
11ManyChat0%

What they warned about

Four of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, Gemini 3.5 Flash, Perplexity Sonar, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, MiniMax M2.5 and Muse Glimmer 30B changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Intercom Fin AI Agent
34%
17 of 50 labels negative · 11 of 14 models · 3 hard negative
“Reviewers describe it as "a joke for small teams", "dual seat-plus-usage billing unpredictable", "overkill and overpriced for tiny teams"​” Muse Glimmer 30B, negative prompt
Zendesk AI
38%
12 of 32 labels negative · 8 of 14 models · 3 hard negative
“**Enterprise‑grade help desks** (Zendesk, Salesforce, Genesys) when you only need a chatbot | Overkill pricing” GLM 4.7 FlashX, negative prompt
Drift
52%
11 of 21 labels negative · 6 of 14 models · 5 hard negative
“**Lead‑gen‑focused chatbots** (Drift, many B2B tools) for pure support | Designed for capturing contacts, not resolving support issues” GLM 4.7 FlashX, negative prompt
Chatbase
25%
4 of 16 labels negative · 4 of 14 models · 1 hard negative
“constant breaks and errors in production, with systems crashing just when needed and slow customer support response times” Claude Haiku 4.5, negative prompt

What they cite

Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.

Sites the answers cite

75 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 1054 links across 290 sites, every framing counted. Ranked by the number of answers carrying the site or page. 2 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.

vendor site · Capterra38 answers · 59 citations · 12 models
vendor site · Zendesk35 answers · 49 citations · 11 models
vendor site · Sobot29 answers · 37 citations · 10 models
vendor site · Tidio28 answers · 36 citations · 11 models
vendor site · Chatbase25 answers · 29 citations · 11 models
19 answers · 20 citations · 11 models
vendor site · Wonderchat18 answers · 26 citations · 10 models
vendor site · Botpress17 answers · 17 citations · 11 models
vendor site · Intercom16 answers · 30 citations · 9 models
vendor site · Boei15 answers · 22 citations · 8 models
15 answers · 18 citations · 8 models
vendor site · ChatBot.com15 answers · 15 citations · 9 models

Pages the answers cite

The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.

Search against answers

Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best customer support chatbot platform”, “customer support chatbot platform”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
Company and productsShareOwn site citedName searches, GoogleAI search demand, est.Organic visitsPaid search a month, est.Google ads, last 30 daysBest Google position
Tidio tidio.com38%2286,60010279,12864
Intercom Fin AI Agent intercom.com18%145210364,348$3,304120
HubSpot parent site
HubSpot Service Hub 4%, HubSpot Chatbot 2%, HubSpot Chat 2%
7%235368,0009,776
Freshworks freshworks.com
Freshdesk 4%
4%28312,100391111,586 company$14,486113
tawk.to tawk.to4%352,9006313,4447
Wonderchat wonderchat.io4%24260128,4160
Salesloft drift.com
Drift 4%
4%236201,00063,08533,917
Crisp crisp.chat2%7260,50036,27629,6852
Chatbase chatbase.co2%284,4005616,673134
Zendesk AI zendesk.com2%106880485,365,445$16,181631

Google's top ten for the two searches hold 17 sites; 4 of them are among the sites the models cited here (chatbase.co, chatbot.com, eesel.ai, zendesk.com). The first result for “best customer support chatbot platform” is twig.so.

How they answered

Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHide
ModelDirect“What is the best customer support chatbot platform for a small B2B company?”Paraphrase“Which conversational AI tool for customer service would you recommend to a small business that sells to other businesses?”Comparative“What are the top customer support chatbot platforms for a small team and how do they differ?”Budget-constrained“What is the best customer support chatbot platform for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating a customer support chatbot platform. What should we look at?”Negative“Which customer support chatbot platforms should a small business avoid or be cautious about?”
Claude Haiku 4.5Freshdesk, Tidio
Two alternativesPlain, ProProfs
against: Intercom Fin AI Agent
no first choiceChangedTidio
Four alternativesChatbase, Freshdesk, Help Scout, ProProfs Chat
Tidio, Zoho Desk
Two alternativesHelp Scout, Zoho SalesIQ
no first choiceagainst: Ada, Bold360, Chatbase, Drift, Einstein, LivePerson, Netomi, Ultimate, Watson Assistant, Zendesk Bots, Zowie
GPT-5.4 miniIntercom Fin AI Agent
Three alternativesFreshdesk, HubSpot Service Hub, Zendesk AI
Intercom Fin AI AgentHeld
Two alternativesFreshworks Freddy AI Agent, Zendesk AI
against: Gorgias AI Agent
Intercom Fin AI Agent
Five alternativesFreshchat, Gorgias AI Agent, HubSpot Service Hub, Tidio, Zendesk AI
Crisp, Tidioagainst: Intercom Fin AI Agentno first choiceagainst: Salesforce Agentforce, Zendesk AI
Gemini 3.5 FlashPylon
Four alternativesBotpress, Helply, Intercom Fin AI Agent, SiteGPT
against: Zendesk AI
ThenaChanged
Three alternativesFini AI, Intercom Fin AI Agent, Plain
Gorgias AI Agent
Four alternativesChatbase, Featurebase, Help Scout, Tidio
Crisp Chat
Three alternativesAskYura, Chatbase, Tidio
against: Intercom Fin AI Agent, Sierra, Yellow.ai, Zendesk AI
Chatbase, CustomGPT, Intercom Fin AI Agent, MyAskAI
Five alternativesGorgias AI Agent, Landbot, Richpanel, Voiceflow, Zendesk AI
against: IBM Watson Assistant, Microsoft Bot Framework, Salesforce Agentforce
Perplexity SonarTidio
Two alternativesCrisp, Zendesk AI
Intercom Fin AI AgentChanged
Three alternativesDrift, HubSpot Service Hub, Tidio
Tidio
Four alternativesFreshdesk, LiveAgent, Zapier, Zendesk AI
against: Botpress
Tidio
One alternativeLiveAgent
no first choiceagainst: Cognigy, Freshchat, Intercom Fin AI Agent, LiveChat, Zendesk AI, Zoho SalesIQ
Grok 4.1 FastTidio
Three alternativesCrisp, HubSpot Service Hub, Zendesk AI
against: Drift
TidioHeld
Two alternativesCrisp, Help Scout
against: Intercom Fin AI Agent
Tidio
Three alternativesCrisp, Freshchat, Zendesk AI
against: Intercom Fin AI Agent
Tidio
Three alternativesCrisp, ManyChat, tawk.to
against: Intercom Fin AI Agent, Zendesk AI
no first choiceagainst: Ada, ChatBot.com, Drift, IBM Watson Assistant, Intercom Fin AI Agent, Podium, Salesloft, Smartsupp, WATI, Zendesk AI Agents
Mistral SmallTidio, Zendesk AI
Three alternativesChatbase, DocsBot, Help Scout
FreshdeskChanged
Two alternativesChatfuel, Jotform AI Agents
Chatbase, Tidio
Two alternativesIntercom Fin AI Agent, Zendesk AI
Tidio
Three alternativesBoei, Freshchat, LiveAgent
no first choicenothing named
DeepSeek V4 FlashBreeze, HubSpot Chat
Two alternativesIntercom Fin AI Agent, Tidio
against: Drift
HubSpot Service HubChanged
Five alternativesFin AI Agent, Helply, Intercom Fin AI Agent, Tidio, Zoho Desk
Tidio
Three alternativesChatbase, Freshchat, Intercom Fin AI Agent
against: Zendesk AI
Boei
Four alternativesChatfuel, ManyChat, Tidio, tawk.to
against: Freshchat
Tidio
Two alternativesChatBot.com, Zendesk AI
against: Botpress, Intercom Fin AI Agent, Rasa
against: Chatbase, Intercom Fin AI Agent, Jotform AI Agents, Podium, Tidio, Zendesk AI
Llama 4 Maverickno first choiceWonderchatChanged
Three alternativesAda, Intercom Fin AI Agent, Pylon
Tidio
One alternativeCrisp
Tidio
Three alternativesCrisp, Drift, LiveAgent
no first choicenothing named
Qwen 3.7 FlashIntercom Fin AI Agent
Four alternativesDrift, HubSpot Service Hub, Tidio, Zendesk Sunshine
DriftChanged
Two alternativesHelp Scout, Wonderchat
Tidio
Two alternativesChatbase, Crisp
against: Intercom Fin AI Agent, Zendesk Sunshine
tawk.to
Two alternativesHubSpot Service Hub, Tidio
no first choiceagainst: Intercom Fin AI Agent, ManyChat, Salesforce Agentforce, Sierra
Kimi K2HubSpot Chatbot, Tidio
Three alternativesCrisp, Intercom Fin AI Agent, LiveAgent
against: Drift, Qualified
HubSpot Service HubChanged
One alternativeCrisp
against: Drift, Intercom Fin AI Agent, Tidio, Zendesk AI
Intercom Fin AI Agent, Tidio
Two alternativesFreshdesk, Help Scout
against: Zendesk AI
Tidio, tawk.to
Three alternativesChat Data, Freshdesk, ProProfs Chat
no first choice
Five alternativesCrisp, Help Scout, Intercom Fin AI Agent, Tidio, Zendesk AI
against: Chatbase, Drift, Intercom Fin AI Agent, ManyChat
GLM 4.7 FlashXTidio
Three alternativesHelp Scout, Intercom Fin AI Agent, Zendesk AI
against: Drift
TidioHeld
Three alternativesCoffee's Companion App, HubSpot Chat, Intercom Fin AI Agent
Tidio
Eleven alternativesBoei, ChatBot.com, Crisp, Freshchat, Freshdesk, Help Scout, HubSpot Service Hub, Intercom Fin AI Agent, SiteGPT, Zendesk AI, Zoho Desk
against: Ada, Drift
Tidio
Three alternativesChatbase, HubSpot Chatbot, ManyChat
no first choiceagainst: Chatbase, Drift, Genesys Cloud CX, Intercom Fin AI Agent, Salesforce Agentforce, SiteGPT, Zendesk AI
MiniMax M2.5Drift, Intercom Fin AI Agent
One alternativeTidio
Intercom Fin AI Agent, WonderchatChanged
Two alternativesTidio, Zendesk AI
Crisp, Tidio
One alternativeLiveAgent
Chatfuel, Tidio
One alternativeZendesk AI
no first choice
Five alternativesBotpress, Freshchat, HelpCrunch, Tidio, Voiceflow
against: Botpress, Drift, WATI
GPT-6 LunaIntercom Fin AI Agent
Two alternativesHelp Scout, HubSpot Service Hub
Intercom Fin AI AgentHeld
One alternativeHubSpot Service Hub
Help Scout
Three alternativesFreshdesk, Intercom Fin AI Agent, Tidio
against: Zendesk AI
Tidio
Two alternativesCrisp, ManyChat
no first choiceagainst: Intercom Fin AI Agent, Tidio, Zendesk AI
Muse Glimmer 30BTidio
Four alternativesDrift, Freshchat, Freshdesk Freddy AI, LiveAgent
Intercom Fin AI AgentChanged
One alternativeTidio
Tidio
Four alternativesFreshchat, Freshdesk Freddy AI, Gorgias AI Agent, Intercom Fin AI Agent
against: Zendesk AI Agents
Tidio
Four alternativesHelpJet, ManyChat, ProProfs Chat, tawk.to
no first choiceagainst: Fin AI Agent, Intercom Fin AI Agent, Tidio
Bold is the first choiceAlternatives are counted; the count opens them.What the answer argued against

The record

One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record
Eighty-four rows: every prompt, every model, every answer.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency
Direct recommendationClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 13:49yes99 s
Direct recommendationGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 13:51yes36 s
Direct recommendationGemini 3.5 Flashgemini-3.5-flash2026-10-01 13:55yes1629 s
Direct recommendationPerplexity Sonarsonar2026-10-01 09:46yes205 s
Direct recommendationGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 14:03yes2511 s
Direct recommendationMistral Smallmistral/mistral-small via mistral2026-10-01 07:31yes157 s
Direct recommendationDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 08:15yes2438 s
Direct recommendationLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 09:35yes86 s
Direct recommendationQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 13:44no038 s
Direct recommendationKimi K2moonshotai/kimi-k2 via novita2026-10-01 08:33yes2024 s
Direct recommendationGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 12:03yes2594 s
Direct recommendationMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 09:13no09 s
Direct recommendationGPT-6 Lunagpt-6-luna2026-10-01 13:40yes216 s
Direct recommendationMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 10:30yes1323 s
ParaphraseClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 12:20no04 s
ParaphraseGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 10:13yes56 s
ParaphraseGemini 3.5 Flashgemini-3.5-flash2026-10-01 11:04yes2624 s
ParaphrasePerplexity Sonarsonar2026-10-01 08:08yes183 s
ParaphraseGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 10:35yes236 s
ParaphraseMistral Smallmistral/mistral-small via mistral2026-10-01 13:37yes54 s
ParaphraseDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 12:14yes2436 s
ParaphraseLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 10:34yes52 s
ParaphraseQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 10:53yes526 s
ParaphraseKimi K2moonshotai/kimi-k2 via novita2026-10-01 10:51yes2029 s
ParaphraseGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 12:02yes19206 s
ParaphraseMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 12:20yes836 s
ParaphraseGPT-6 Lunagpt-6-luna2026-10-01 07:59yes215 s
ParaphraseMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 10:26yes2531 s
ComparativeClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 10:31yes99 s
ComparativeGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 08:03yes39 s
ComparativeGemini 3.5 Flashgemini-3.5-flash2026-10-01 09:56yes1933 s
ComparativePerplexity Sonarsonar2026-10-01 09:41yes185 s
ComparativeGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 11:21yes237 s
ComparativeMistral Smallmistral/mistral-small via mistral2026-10-01 11:04yes109 s
ComparativeDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 10:34yes2437 s
ComparativeLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 12:10yes52 s
ComparativeQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 14:08yes1534 s
ComparativeKimi K2moonshotai/kimi-k2 via novita2026-10-01 11:59yes1019 s
ComparativeGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 09:06yes1367 s
ComparativeMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 13:38yes1122 s
ComparativeGPT-6 Lunagpt-6-luna2026-10-01 13:05yes722 s
ComparativeMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 12:55yes1535 s
Budget constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 07:32yes98 s
Budget constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 13:33yes46 s
Budget constrainedGemini 3.5 Flashgemini-3.5-flash2026-10-01 13:16yes2333 s
Budget constrainedPerplexity Sonarsonar2026-10-01 13:49yes204 s
Budget constrainedGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 12:43yes258 s
Budget constrainedMistral Smallmistral/mistral-small via mistral2026-10-01 07:38yes54 s
Budget constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 08:06yes2416 s
Budget constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 11:11yes53 s
Budget constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 09:15yes527 s
Budget constrainedKimi K2moonshotai/kimi-k2 via novita2026-10-01 08:12yes916 s
Budget constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 10:19yes1921 s
Budget constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 11:18yes58 s
Budget constrainedGPT-6 Lunagpt-6-luna2026-10-01 12:40yes314 s
Budget constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 11:28yes1524 s
Scale constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 07:32no04 s
Scale constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 12:34no06 s
Scale constrainedGemini 3.5 Flashgemini-3.5-flash2026-10-01 07:40no014 s
Scale constrainedPerplexity Sonarsonar2026-10-01 12:05yes206 s
Scale constrainedGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 12:50yes149 s
Scale constrainedMistral Smallmistral/mistral-small via mistral2026-10-01 07:44no06 s
Scale constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 09:21yes1942 s
Scale constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 11:51yes52 s
Scale constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 09:12no030 s
Scale constrainedKimi K2moonshotai/kimi-k2 via novita2026-10-01 08:35yes1016 s
Scale constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 08:47no05 s
Scale constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 07:52yes1024 s
Scale constrainedGPT-6 Lunagpt-6-luna2026-10-01 10:26yes313 s
Scale constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 08:52yes1430 s
Negative framingClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 07:58yes1813 s
Negative framingGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 14:01yes76 s
Negative framingGemini 3.5 Flashgemini-3.5-flash2026-10-01 09:06yes2026 s
Negative framingPerplexity Sonarsonar2026-10-01 10:20yes234 s
Negative framingGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 09:20yes2214 s
Negative framingMistral Smallmistral/mistral-small via mistral2026-10-01 12:22yes55 s
Negative framingDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 09:23yes2430 s
Negative framingLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 11:11yes51 s
Negative framingQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 12:02yes1963 s
Negative framingKimi K2moonshotai/kimi-k2 via novita2026-10-01 09:14yes2526 s
Negative framingGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 09:50yes2490 s
Negative framingMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 08:38yes2234 s
Negative framingGPT-6 Lunagpt-6-luna2026-10-01 08:30yes320 s
Negative framingMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 09:26yes2445 s

Normalization in this category

Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.

ShowHide
Category-scoped readings
Freshdesk Freddy read as Freshdesk Freddy AI
Genesys read as Genesys Cloud CX
Gorgias read as Gorgias AI Agent
HubSpot read as HubSpot Service Hub
Intercom read as Intercom Fin AI Agent
Intercom (Fin AI Agent) read as Intercom Fin AI Agent
Intercom (Fin AI) read as Intercom Fin AI Agent
Intercom (with Fin AI) read as Intercom Fin AI Agent
Intercom Fin read as Intercom Fin AI Agent
Intercom with Fin read as Intercom Fin AI Agent
Intercom with Fin AI Agent read as Intercom Fin AI Agent
Intercom/Fin read as Intercom Fin AI Agent
Salesforce read as Salesforce Agentforce
Salesforce Einstein Bots / Agentforce read as Salesforce Agentforce
Zendesk read as Zendesk AI
Zendesk (Answer Bot) read as Zendesk AI
Zoho read as Zoho SalesIQ
Unresolved, counted raw
Amplitude Guides and Surveys
AskYura
Atonom
Bold360
BotPenguin
Botmother
Chatbot Builder AI
Chatra
Coffee's Companion App
Crisp Chat
DocsBot
Fini AI
Freshworks Freshchat/Freddy AI
Growth
Langchain
LiveChatAI
MyAskAI
OpenAI API
ProProfs Live Chat
Service Cloud
Thena
Watson Assistant (IBM)
Zendesk Bots
Discontinued, still offered
No shut-down product was recommended here.
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