Experimentation and personalization for small business buyers
Asked as “website experimentation and personalization platform”, and as “A/B testing and personalization tool”, on behalf of a small B2B company. 61 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
36%
Contested · Convert Experiences 13%
36VWO13Convert Experiences13GrowthBook38others
36% of first choices, contested.
Since September 2026▼−2Since September 2026: 38% → 37%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.VWO held the lead, −2 points on 38%, 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.
Small business
VWO36%Contested▼−2Since September 2026: 38% → 37%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This pageMid-marketVWO27%Contested▼−8Since September 2026: 34% → 26%, −8 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →Enterprise
Optimizely CMS46%Clear leader▲+7Since September 2026: 45% → 52%, +7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →
VWO36%Contested▼−2Since September 2026: 38% → 37%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This pageMid-marketVWO27%Contested▼−8Since September 2026: 34% → 26%, −8 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →EnterpriseOptimizely CMS46%Clear leader▲+7Since September 2026: 45% → 52%, +7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →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
01VWO36%18%61endorsed leader▼−2Since September 2026: 38% → 37%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.38% → 37%
VWO36%18%61endorsed leader▼−2Since September 2026: 38% → 37%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.38% → 37%02
Convert Experiences13%2%41accepted challenger▼−4Since September 2026: 13% → 10%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.13% → 10%
Convert Experiences13%2%41accepted challenger▼−4Since September 2026: 13% → 10%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.13% → 10%03
GrowthBook13%3%34accepted challenger▲+12Since September 2026: 2% → 13%, +12 points. Past the 11-point floor: movement. Read over the models both editions asked.2% → 13%
GrowthBook13%3%34accepted challenger▲+12Since September 2026: 2% → 13%, +12 points. Past the 11-point floor: movement. Read over the models both editions asked.2% → 13%04
Zoho PageSense10%7%15accepted challenger▲+4Since September 2026: 6% → 10%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.6% → 10%
Zoho PageSense10%7%15accepted challenger▲+4Since September 2026: 6% → 10%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.6% → 10%05
Mutiny5%40%15criticized challenger▼−4Since September 2026: 10% → 6%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.10% → 6%
Mutiny5%40%15criticized challenger▼−4Since September 2026: 10% → 6%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.10% → 6%06
PostHog3%4%23accepted challenger▼−4Since September 2026: 8% → 4%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.8% → 4%
PostHog3%4%23accepted challenger▼−4Since September 2026: 8% → 4%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.8% → 4%07
Personyze3%0%12accepted challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 4%
Personyze3%0%12accepted challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 4%08
AB Tasty2%29%24criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%
AB Tasty2%29%24criticized 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 six products at 0%, ordered by negative rate
13
Adobe Target0%89%18criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Adobe Target0%89%18criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%14Optimizely CMS0%75%55criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%
Optimizely CMS0%75%55criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%12
Dynamic Yield0%56%16criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Dynamic Yield0%56%16criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%11
Google Optimize Lab in the set0%50%12criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Google Optimize Lab in the set0%50%12criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%10
Kameleoon0%23%22accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Kameleoon0%23%22accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%09
Statsig0%0%13accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Statsig0%0%13accepted 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.
Google Optimize is made by Google, whose model Gemini 3.5 Flash is in the set. On the four share prompts that model made it the first choice zero times of 4; the other thirteen models zero times of 52. Lab treatment is defined on the method page; the row is marked, not excluded.
All twenty-one head-to-head pages: the top seven products, each against each
VWO vs Optimizely CMSVWO vs KameleoonVWO vs PostHogConvert Experiences vs GrowthBookConvert Experiences vs MutinyConvert Experiences vs Optimizely CMSConvert Experiences vs KameleoonConvert Experiences vs PostHogGrowthBook vs MutinyGrowthBook vs Optimizely CMSGrowthBook vs KameleoonGrowthBook vs PostHogMutiny vs Optimizely CMSMutiny vs KameleoonMutiny vs PostHogOptimizely CMS vs KameleoonOptimizely CMS vs PostHogKameleoon vs PostHog
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 →
0102030405060708091011121314Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01VWO36%
VWO36%02Convert Experiences13%
Convert Experiences13%03GrowthBook13%
GrowthBook13%04Zoho PageSense10%
Zoho PageSense10%05Mutiny5%
Mutiny5%06PostHog3%
PostHog3%07Personyze3%
Personyze3%08AB Tasty2%
AB Tasty2%09Statsig0%
Statsig0%10Kameleoon0%
Kameleoon0%11Google Optimize0%
Google Optimize0%12Dynamic Yield0%
Dynamic Yield0%13Adobe Target0%
Adobe Target0%14Optimizely CMS0%
Optimizely CMS0%What they warned about
Three of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, Gemini 3.5 Flash, Perplexity Sonar, Grok 4.1 Fast, Mistral Small, Llama 4 Maverick, Kimi K2, GLM 4.7 FlashX, MiniMax M2.5, GPT-6 Luna 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.
Optimizely CMS75%
41 of 55 labels negative · 14 of 14 models · 16 hard negative
“Why avoid it: While Optimizely is a market leader, the "Full Stack" or "Enterprise" versions are designed for large-scale feature flags” GLM 4.7 FlashX, negative prompt
Adobe Target89%
16 of 18 labels negative · 9 of 14 models · 8 hard negative
“the platforms that are consistently flagged as expensive, complex and overbuilt are the enterprise AI-experience / experimentation suites. ### Enterprise AI experience platforms * **Adobe Target**” Muse Glimmer 30B, negative prompt
VWO18%
11 of 61 labels negative · 8 of 14 models · 1 hard negative
“too expensive for truly tight budgets” Kimi K2, budget prompt
Dynamic Yield56%
9 of 16 labels negative · 7 of 14 models · 5 hard negative
“entry-level costs start around $40,000 per year... quoted in the $50k-$300k+ per year range” Muse Glimmer 30B, 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
77 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. 1100 links across 260 sites, every framing counted. Ranked by the number of answers carrying the site or page. 13 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 · Convert38 answers · 74 citations · 13 models
vendor site · Contentsquare32 answers · 45 citations · 11 models
vendor site · Kameleoon31 answers · 35 citations · 12 models
vendor site · Webflow31 answers · 31 citations · 9 models
vendor site · Mida28 answers · 34 citations · 11 models
27 answers · 28 citations · 10 models
vendor site · Ringly.io22 answers · 28 citations · 9 models
vendor site · Guideflow22 answers · 24 citations · 9 models
vendor site · GrowthBook19 answers · 40 citations · 8 models
vendor site · Optimizely19 answers · 25 citations · 13 models
19 answers · 22 citations · 9 models
vendor site · Croct16 answers · 18 citations · 8 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.
31 answers · 9 models
29 answers · 12 models
20 answers · 9 models
19 answers · 9 models
19 answers · 8 models
18 answers · 7 models
16 answers · 9 models
16 answers · 7 models
15 answers · 8 models
15 answers · 7 models
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 website experimentation and personalization platform”, “website experimentation and personalization 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 products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Paid search a month, est. | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|---|
| VWO vwo.com | 36% | 156 | 22,200 | 449 | 25,874 | 14 | 5 | |
| Convert Experiences convert.com | 13% | 80 | 50 | 22 | 20,882 | 1 | ||
| GrowthBook growthbook.io | 13% | 71 | 2,900 | 14 | 26,646 | 26 | ||
| Zoho parent site Zoho PageSense 10% | 10% | 26 | 260 | 6 | ||||
| Mutiny mutinyhq.com | 5% | 71 | 110,000 | 3,032 | 680 | 0 | ||
| PostHog posthog.com | 3% | 355 | 33,100 | 271 | 25,936 | 120 | ||
| Personyze personyze.com | 3% | 19 | 50 | 1 | 536 | 0 | ||
| Mida mida.so | 3% | 16 | 49,500 | 18,197 | 33,190 | 3 | 2 | |
| HubSpot hubspot.com | 2% | 132 | 368,000 | 9,776 | 2,276,428 | $83,922 | 76 | |
| AB Tasty abtasty.com | 2% | 79 | 1,000 | 27 | 23,529 | 3 |
Google's top ten for the two searches hold 17 sites; 4 of them are among the sites the models cited here (blog.croct.com, guideflow.com, mida.so, optimizely.com). The first result for “best website experimentation and personalization platform” is gartner.com.
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
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.
ShowHideModelDirect“What is the best website experimentation and personalization platform for a small B2B company?”Paraphrase“Which A/B testing and personalization tool would you recommend to a small business that sells to other businesses?”Comparative“What are the top experimentation and personalization platforms for a small team and how do they differ?”Budget-constrained“What is the best website experimentation and personalization platform for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating a website experimentation and personalization platform. What should we look at?”Negative“Which experimentation and personalization platforms should a small business avoid or be cautious about?”
Claude Haiku 4.5Mutinyagainst: Optimizely CMSVWOChangedVWOagainst: Insider, Optimizely CMSPersonyzeno first choiceagainst: ABsmartly, Adobe Target, Dynamic Yield, Optimizely CMS, Unbounce, VWO, Zoho PageSense
Four alternatives
Claspo, HubSpot, Markettailor, OptiMonkTwo alternatives
Convert Experiences, Google OptimizeFour alternatives
AB Tasty, HubSpot, Mutiny, NostoFour alternatives
Google Optimize, HubSpot, Mida, OptiMonkGPT-5.4 miniVWOVWOHeldagainst: Adobe TargetGrowthBookagainst: Optimizely CMSGrowthBookagainst: Optimizely CMSno first choiceagainst: Adobe Target
One alternative
Optimizely CMSOne alternative
Optimizely CMSThree alternatives
LaunchDarkly, Statsig, VWO Feature ExperimentationOne alternative
Convert ExperiencesGemini 3.5 FlashPloyVWOChangedagainst: MutinyVarify.ioagainst: Adobe Target, Optimizely CMSMidaagainst: Adobe Target, Dynamic Yield, Google Optimize, Optimizely CMS, VWOConvert Experiences, VWOagainst: Dynamic Yield, Intellimize, Mutiny, Ninetailed, Optimizely CMSagainst: AB Tasty, Adobe Target, Dynamic Yield, Google Optimize, Kameleoon, LaunchDarkly, Optimizely CMS, Split
Three alternatives
Croct, Mutiny, VWOThree alternatives
Convert Experiences, HubSpot Content Hub, RightMessageSix alternatives
Convert Experiences, Croct, GrowthBook, PostHog, Statsig, VWOFour alternatives
GrowthBook, PageDuel, Personizely, PostHogSix alternatives
ABConvert, Elevate, GrowthBook, Mida, Statsig, Webflow OptimizePerplexity SonarGrowthBook, VWOConvert ExperiencesChangedStatsigagainst: Optimizely CMSGrowthBook, PostHogno first choicenothing named
One alternative
Convert ExperiencesTwo alternatives
PostHog, Zoho PageSenseThree alternatives
GrowthBook, LaunchDarkly, VWOTwo alternatives
Crazy Egg, MidaGrok 4.1 FastVWOagainst: Optimizely CMSConvert ExperiencesChangedagainst: AB Tasty, GrowthBook, Optimizely CMS, PlerdyGrowthBook, PostHogagainst: Optimizely CMSZoho PageSenseagainst: Convert Experiences, Optimizely CMS, VWOAB Tasty, VWOagainst: Optimizely CMSagainst: AB Tasty, Bloomreach, Nosto, Optimizely CMS, VWO
Four alternatives
AB Tasty, Convert Experiences, HubSpot Marketing Hub, OmniconvertOne alternative
VWOFive alternatives
AB Tasty, Convert Experiences, Kameleoon, Statsig, VWOTwo alternatives
GrowthBook, PostHogTwo alternatives
Convert Experiences, GrowthBookMistral SmallMutinyConvert Experiences, VWOChangedagainst: Optimizely CMSPersonyze, VWO Personalizeagainst: Optimizely CMSGrowthBookagainst: Google Optimizeno first choiceagainst: Adobe Target, Optimizely CMS
Two alternatives
Optimizely CMS, VWOOne alternative
ProofOne alternative
MutinyTwo alternatives
Convert Experiences, VWODeepSeek V4 FlashVWOVWOHeldagainst: Adobe Target, Dynamic Yield, Mutiny, Optimizely CMSPostHog, VWOGrowthBookagainst: AB Tasty, Kameleoon, Optimizely CMSPlerdy, VWOagainst: Adobe Target, Optimizely CMSagainst: AB Tasty, Contentsquare, Kameleoon, Optimizely CMS, VWO
Three alternatives
Convert Experiences, GrowthBook, Zoho PageSenseFour alternatives
AB Tasty, Convert Experiences, GrowthBook, UnbounceFive alternatives
AB Tasty, Convert Experiences, GrowthBook, Kameleoon, StatsigThree alternatives
Convert Experiences, PostHog, VWOTwo alternatives
AB Tasty, KameleoonLlama 4 MaverickMutinyagainst: Optimizely CMSno first choiceChangedagainst: Dynamic Yieldno first choiceRightMessagePersonyzenothing named
Four alternatives
Dynamic Yield, Kameleoon, Optimizely CMS, VWOQwen 3.7 FlashVWOagainst: Optimizely CMSVWOHeldagainst: Optimizely CMSVWOMida, Zoho PageSenseagainst: Adobe Target, Optimizely CMSVWOagainst: Adobe Target, Optimizely CMSagainst: Adobe Target, Optimizely CMS
Two alternatives
Mutiny, Okara AIThree alternatives
Convert Experiences, PostHog, UnbounceThree alternatives
Kameleoon, Personyze, PostHogOne alternative
PersonyzeTwo alternatives
AB Tasty, Convert ExperiencesKimi K2VWOagainst: Mutiny, Optimizely CMSVarify.io, Zoho PageSenseChangedPostHogagainst: Optimizely CMSZoho PageSenseagainst: Google Optimize, Optimizely CMS, VWOGrowthBook, VWOagainst: Adobe Target, Dynamic Yield, Optimizely CMSagainst: AB Tasty, Adobe Target, Kameleoon, Optimizely CMS
Two alternatives
Convert Experiences, MidaTwo alternatives
Convert Experiences, GrowthBookFour alternatives
Convert Experiences, Crazy Egg, Unbounce, VWOTwo alternatives
GrowthBook, PostHogFour alternatives
Convert Experiences, Kameleoon, Mida, PostHogGLM 4.7 FlashXAbmatic AIVWOChangedConvert Experiences, VWOagainst: Kameleoon, Optimizely CMSZoho PageSenseno first choiceagainst: Adobe Marketo Engage, Optimizely CMS, Salesforce Marketing Cloud, SiteSpect
Four alternatives
Mida, Mutiny, VWO, Zoho PageSenseThree alternatives
Convert Experiences, HubSpot Marketing Hub, PersonyzeFour alternatives
AB Tasty, GrowthBook, Personyze, PostHogTwo alternatives
GrowthBook, OptiMonkMiniMax M2.5Convert Experiences, HubSpot, VWOagainst: Optimizely CMSno first choiceChangedConvert Experiences, GrowthBookagainst: Dynamic Yield, VWOGrowthBook, PostHogagainst: Google Optimizeno first choiceagainst: Optimizely CMS, VWO
One alternative
Google OptimizeThree alternatives
Omniconvert, PostHog, Varify.ioFour alternatives
Convert Experiences, Statsig, VWO, Varify.ioGPT-6 LunaConvert Experiencesagainst: MutinyZoho PageSenseChangedPostHog, VWOagainst: Optimizely CMSGrowthBookagainst: PostHogno first choiceagainst: AB Tasty, Adobe Target, Google Optimize, Optimizely Web Experimentation, VWO
Two alternatives
GrowthBook, VWOOne alternative
VWOTwo alternatives
GrowthBook, StatsigOne alternative
Convert ExperiencesMuse Glimmer 30BVWOagainst: Optimizely CMSConvert Experiences, VWOChangedagainst: MutinyConvert Experiencesagainst: Optimizely CMSCroctagainst: VWOConvert Experiences, VWOagainst: Adobe Target, Dynamic Yield, Optimizely Web Experimentation, VWO
Four alternatives
AB Tasty, Convert Experiences, Kameleoon, UnbounceOne alternative
Zoho PageSenseSeven alternatives
GrowthBook, Intempt, Kameleoon, Plerdy, PostHog, Statsig, VWOFour alternatives
ABtesting.ai, GrowthBook, PostHog, Zoho PageSenseEight alternatives
Croct, Eppo, GrowthBook, HubSpot, Kameleoon, LaunchDarkly, Personyze, StatsigBold 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.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:10 | yes | 9 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:19 | yes | 2 | 4 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:29 | yes | 15 | 56 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 10:40 | yes | 18 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:31 | yes | 24 | 8 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:02 | yes | 5 | 3 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:05 | yes | 23 | 21 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:11 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 07:49 | yes | 17 | 105 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:35 | yes | 19 | 22 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:50 | yes | 15 | 25 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 13:40 | yes | 5 | 17 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:50 | yes | 5 | 26 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:55 | yes | 14 | 15 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:14 | no | 0 | 5 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:31 | yes | 3 | 4 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:50 | yes | 25 | 28 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 13:19 | yes | 20 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:29 | yes | 23 | 9 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:04 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:28 | yes | 22 | 29 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 07:56 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:35 | no | 0 | 45 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:08 | yes | 15 | 32 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:43 | yes | 24 | 37 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:01 | yes | 5 | 45 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:27 | yes | 3 | 14 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:41 | yes | 22 | 37 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:02 | yes | 19 | 10 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 13:43 | yes | 7 | 13 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:26 | yes | 23 | 35 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 08:31 | yes | 20 | 4 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:22 | yes | 23 | 9 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:25 | yes | 10 | 7 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:58 | yes | 24 | 48 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:59 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:40 | yes | 10 | 42 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:06 | yes | 20 | 22 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:11 | yes | 18 | 70 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 12:13 | yes | 23 | 32 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:27 | yes | 5 | 21 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:20 | yes | 15 | 38 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:45 | yes | 9 | 7 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:53 | yes | 3 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:46 | yes | 24 | 24 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 13:02 | yes | 20 | 4 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:06 | yes | 22 | 8 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:59 | yes | 15 | 5 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:39 | yes | 22 | 19 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:20 | yes | 5 | 1 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:09 | yes | 5 | 24 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 13:19 | yes | 19 | 28 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 14:15 | yes | 24 | 97 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:29 | yes | 13 | 22 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:58 | yes | 4 | 17 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:48 | yes | 14 | 22 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 13:47 | no | 0 | 6 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:09 | no | 0 | 8 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:43 | yes | 10 | 28 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 09:40 | yes | 19 | 6 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:48 | yes | 14 | 6 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:18 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:03 | yes | 22 | 63 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:03 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:53 | no | 0 | 29 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 13:53 | yes | 21 | 28 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:55 | yes | 10 | 14 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:17 | no | 0 | 7 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:13 | yes | 3 | 21 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:33 | yes | 14 | 27 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:38 | yes | 18 | 8 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:23 | yes | 3 | 7 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:55 | yes | 14 | 21 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 10:34 | yes | 24 | 6 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:49 | yes | 24 | 8 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:27 | yes | 5 | 6 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:15 | yes | 25 | 43 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:20 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 07:38 | yes | 5 | 21 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:20 | yes | 24 | 23 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 12:16 | yes | 24 | 83 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:04 | yes | 23 | 32 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:47 | yes | 4 | 18 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:01 | yes | 15 | 25 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
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Category-scoped readings
Adobe read as Adobe Target
Convert read as Convert Experiences
Convert.com read as Convert Experiences
Convert.com (Convert Experiences) read as Convert Experiences
Convert.com (with Convert Nexus) read as Convert Experiences
Unresolved, counted raw
ABConvert
ABsmartly
ABtesting.ai
Claspo
Okara AI
Optimizelyas lower tiers
PageDuel
PageSense (Zoho)
Proof
Shopify Apps
VWO Feature Experimentation
Discontinued, still offered
No shut-down product was recommended here.