Experimentation and personalization
Asked as “website experimentation and personalization platform”, and as “A/B testing and personalization tool”, on behalf of a mid-market B2B company. 55 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
27%
Contested · Convert Experiences 24%
27VWO24Convert Experiences15GrowthBook35others
27% of first choices, contested.
Since September 2026▼−8Since September 2026: 34% → 26%, −8 points. Inside the 11-point floor: within noise. Read over the models both editions asked.VWO held the lead, −8 points on 34%, 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.Standing →Mid-marketVWO27%Contested▼−8Since September 2026: 34% → 26%, −8 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This pageEnterprise
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.Standing →Mid-marketVWO27%Contested▼−8Since September 2026: 34% → 26%, −8 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This pageEnterpriseOptimizely 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 mid-market B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01VWO27%11%56accepted challenger▼−8Since September 2026: 34% → 26%, −8 points. Inside the 11-point floor: within noise. Read over the models both editions asked.34% → 26%
VWO27%11%56accepted challenger▼−8Since September 2026: 34% → 26%, −8 points. Inside the 11-point floor: within noise. Read over the models both editions asked.34% → 26%02
Convert Experiences24%0%33accepted challenger▲+8Since September 2026: 15% → 23%, +8 points. Inside the 11-point floor: within noise. Read over the models both editions asked.15% → 23%
Convert Experiences24%0%33accepted challenger▲+8Since September 2026: 15% → 23%, +8 points. Inside the 11-point floor: within noise. Read over the models both editions asked.15% → 23%03
GrowthBook15%8%25accepted challenger▲+11Since September 2026: 2% → 13%, +11 points. Past the 11-point floor: movement. Read over the models both editions asked.2% → 13%
GrowthBook15%8%25accepted challenger▲+11Since September 2026: 2% → 13%, +11 points. Past the 11-point floor: movement. Read over the models both editions asked.2% → 13%04
Mutiny7%22%18accepted challenger▲+4Since September 2026: 2% → 6%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 6%
Mutiny7%22%18accepted challenger▲+4Since September 2026: 2% → 6%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 6%05Optimizely CMS7%47%55criticized challenger▲+1Since September 2026: 8% → 9%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.8% → 9%
Optimizely CMS7%47%55criticized challenger▲+1Since September 2026: 8% → 9%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.8% → 9%06
Kameleoon4%0%31accepted challenger=heldSince September 2026: 4% → 4%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 4%
Kameleoon4%0%31accepted challenger=heldSince September 2026: 4% → 4%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 4%07
PostHog4%5%19accepted challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 4%
PostHog4%5%19accepted challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 4%Show the five products at 0%, ordered by negative rate
12
Google Optimize Lab in the set0%92%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%92%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%11
Adobe Target0%58%36criticized 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%58%36criticized 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
Dynamic Yield0%38%24criticized 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%38%24criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%08
AB Tasty0%13%30accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%
AB Tasty0%13%30accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%09
Statsig0%0%14accepted challenger▼−4Since September 2026: 4% → 0%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 0%
Statsig0%0%14accepted challenger▼−4Since September 2026: 4% → 0%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 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 →
010203040506070809101112Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01VWO27%
VWO27%02Convert Experiences24%
Convert Experiences24%03GrowthBook15%
GrowthBook15%04Mutiny7%
Mutiny7%05Optimizely CMS7%
Optimizely CMS7%06Kameleoon4%
Kameleoon4%07PostHog4%
PostHog4%08AB Tasty0%
AB Tasty0%09Statsig0%
Statsig0%10Dynamic Yield0%
Dynamic Yield0%11Adobe Target0%
Adobe Target0%12Google Optimize0%
Google Optimize0%What they warned about
One of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Perplexity Sonar, Grok 4.1 Fast, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX, 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.
Optimizely CMS47%
26 of 55 labels negative · 11 of 14 models · 4 hard negative
“more enterprise-y, pricier ~$36K/yr min, dev-heavy). Avoid if mid-market budget/timeline constrained.” Grok 4.1 Fast, direct prompt
Adobe Target58%
21 of 36 labels negative · 11 of 14 models · 2 hard negative
“Force you into a **closed ecosystem** (Adobe Target unless you're already all-in on Adobe)” DeepSeek V4 Flash, negative prompt
Google Optimize92%
11 of 12 labels negative · 9 of 14 models · 10 hard negative
“Google Optimize (the former standard for small-to-mid-size businesses) was sunsetted in late 2023, forcing many users to migrate to other solutions.” Qwen 3.7 Flash, comparative prompt
Dynamic Yield38%
9 of 24 labels negative · 6 of 14 models · 1 hard negative
“Charge **enterprise prices without transparency** (Dynamic Yield, Adobe Target)” DeepSeek V4 Flash, 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
78 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. 1152 links across 297 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 · Mida37 answers · 45 citations · 11 models
vendor site · Contentsquare33 answers · 44 citations · 12 models
vendor site · Convert31 answers · 50 citations · 12 models
vendor site · Optimizely26 answers · 38 citations · 14 models
vendor site · Guideflow25 answers · 33 citations · 12 models
vendor site · Kameleoon25 answers · 30 citations · 12 models
vendor site · Webflow25 answers · 25 citations · 12 models
vendor site · Personyze23 answers · 24 citations · 11 models
21 answers · 41 citations · 10 models
vendor site · GrowthBook19 answers · 41 citations · 10 models
17 answers · 19 citations · 11 models
16 answers · 23 citations · 7 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.
25 answers · 10 models
25 answers · 12 models
21 answers · 10 models
18 answers · 10 models
17 answers · 11 models
16 answers · 10 models
16 answers · 9 models
15 answers · 8 models
15 answers · 10 models
15 answers · 8 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 | 27% | 156 | 22,200 | 449 | 25,874 | 14 | 5 | |
| Convert Experiences convert.com | 24% | 80 | 50 | 22 | 20,882 | 1 | ||
| GrowthBook growthbook.io | 15% | 71 | 2,900 | 14 | 26,646 | 26 | ||
| Optimizely optimizely.com Optimizely CMS 7%, Optimizely Web Experimentation 4% | 11% | 237 | 60,500 | 36,211 | 200,757 company | $2 | 120 | 3 |
| Mutiny mutinyhq.com | 7% | 71 | 110,000 | 3,032 | 680 | 0 | ||
| Kameleoon kameleoon.com | 4% | 82 | 590 | 3 | 28,601 | 3 | ||
| PostHog posthog.com | 4% | 355 | 33,100 | 271 | 25,936 | 120 | ||
| Personyze personyze.com | 2% | 19 | 50 | 1 | 536 | 0 | ||
| Mida mida.so | 2% | 16 | 49,500 | 18,197 | 33,190 | 3 | 2 | |
| Croct croct.com | 2% | 8 | 7 |
Google's top ten for the two searches hold 17 sites; 3 of them are among the sites the models cited here (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 mid-market B2B company?”Paraphrase“Which A/B testing and personalization tool would you recommend to a mid-sized B2B company?”Comparative“What are the top experimentation and personalization platforms and how do they differ?”Budget-constrained“What is the best website experimentation and personalization platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a website experimentation and personalization platform. What should we look at?”Negative“Which experimentation and personalization platforms should I avoid or be cautious about?”
Claude Haiku 4.5VWOagainst: Optimizely CMSOptimizely CMS, VWOChangedOptimizely CMSGrowthBook, PostHogno first choicenothing named
One alternative
MutinyFive alternatives
Adobe Target, Dynamic Yield, HubSpot, Insider, MutinyFour alternatives
Convertize, HubSpot, OptiMonk, PersonizelyGPT-5.4 miniKameleoonagainst: Adobe Target, Dynamic YieldVWOChangedno first choiceConvert Experiencesagainst: Adobe Targetno first choiceagainst: Google Optimize, Optimizely CMS
Two alternatives
Optimizely Web Experimentation, VWO TestingThree alternatives
AB Tasty, Convert Experiences, Optimizely CMSSeven alternatives
AB Tasty, Adobe Target, GrowthBook, LaunchDarkly, Optimizely Web Experimentation, Statsig, VWOOne alternative
VWOGemini 3.5 FlashVWOagainst: Adobe Target, Intellimize, Mutiny, Ninetailed, Optimizely CMSMutinyChangedagainst: Adobe Target, Optimizely CMSOptimizely CMSMidaagainst: Google Optimize, VWOKameleoon, VWOagainst: Adobe Target, Optimizely Web Experimentationagainst: Adobe Target, Google Optimize, Intellimize, Mutiny, Optimizely CMS, Webflow Optimize
Four alternatives
Abmatic AI, Croct, Ploy, PostHogThree alternatives
Convert Experiences, PostHog, VWOSix alternatives
Adobe Target, Datadog Experiments, Dynamic Yield, GrowthBook, Kameleoon, StatsigFive alternatives
Convert Experiences, GrowthBook, Humblytics, PostHog, StatsigThree alternatives
GrowthBook, LaunchDarkly, PostHogPerplexity SonarVWOagainst: Amplitude, PostHogConvert ExperiencesChangedLaunchDarkly, StatsigGrowthBookagainst: Crazy Egg, Unbounceno first choicenothing named
One alternative
PersonyzeThree alternatives
AB Tasty, Optimizely CMS, VWOSeven alternatives
AB Tasty, Adobe Target, Amplitude Experiment, GrowthBook, Kameleoon, Optimizely CMS, VWOOne alternative
PostHogGrok 4.1 FastVWOagainst: Optimizely CMSConvert ExperiencesChangedagainst: Optimizely CMSOptimizely CMS, VWOGrowthBookno first choiceagainst: AB Tasty, Adobe Target, Optimizely CMS, Shogun A/B tools, VWO
Three alternatives
AB Tasty, Convert Experiences, MutinyTwo alternatives
AB Tasty, VWOSix alternatives
AB Tasty, Adobe Target, Dynamic Yield, GrowthBook, Kameleoon, StatsigFive alternatives
Convert Experiences, Croct, Matomo, PostHog, VWOMistral SmallOptimizely Web Experimentation, PersonyzeConvert Experiences, VWOChangedOptimizely CMSagainst: Adobe Target, Google OptimizeCroctno first choiceagainst: Adobe Target, Dynamic Yield, Optimizely CMS, Personizely
One alternative
KameleoonTwo alternatives
Kameleoon, VWOThree alternatives
Hello Bar, Mida, OptiMonkDeepSeek V4 FlashConvert Experiences, Mutinyagainst: Optimizely CMSConvert ExperiencesChangedagainst: Adobe Target, Dynamic Yield, Optimizely CMSno first choiceGrowthBookagainst: Adobe Target, Optimizely CMSOptimizely CMSagainst: Dynamic Yieldagainst: 6sense, Adobe Target, Bombora, Demandbase, Dynamic Yield, Optimizely CMS, RB2B, ZoomInfo
Two alternatives
Abmatic AI, VWOTwo alternatives
Mutiny, VWOTwelve alternatives
AB Tasty, Adobe Target, Convert Experiences, Dynamic Yield, Eppo, GrowthBook, Kameleoon, Monetate, Optimizely CMS, Statsig, VWO, Webflow OptimizeThree alternatives
Convert Experiences, PostHog, VWOTwo alternatives
AB Tasty, KameleoonLlama 4 MaverickOptimizely Web ExperimentationConvert ExperiencesChangedKameleoonOptimizely CMSPersonizelynothing named
Three alternatives
HubSpot, Kameleoon, PersonyzeTwo alternatives
Adobe Target, Optimizely CMSTwo alternatives
Mida, Optimizely CMSQwen 3.7 FlashVWOagainst: Adobe Target, Optimizely CMSConvert ExperiencesChangedagainst: GrowthBookno first choiceagainst: Google OptimizePostHogagainst: Optimizely CMSno first choiceagainst: Adobe Target, Contentful, Dynamic Yield, Monetate, Optimizely CMS, Sanity
Three alternatives
AB Tasty, Convert Experiences, MutinyOne alternative
Visual Website OptimizerThree alternatives
Convert Experiences, GrowthBook, PlerdyKimi K2VWOConvert ExperiencesChangedagainst: Adobe Target, Dynamic Yield, Mutiny, Optimizely CMSOptimizely CMSGrowthBookno first choiceagainst: GrowthBook, Optimizely CMSagainst: Adobe Target, Dynamic Yield, Google Optimize, Optimizely CMS
Three alternatives
Intellimize, Mutiny, PostHogOne alternative
VWOFive alternatives
AB Tasty, Adobe Target, Dynamic Yield, Kameleoon, VWOFour alternatives
Amplitude, PostHog, Varify.io, Zoho PageSenseGLM 4.7 FlashXMutinyagainst: Optimizely CMSConvert ExperiencesChangedagainst: VWOno first choiceagainst: Google OptimizeVWOagainst: AB Tasty, Optimizely CMSno first choiceagainst: Adobe Target, Optimizely CMS, VWO
Two alternatives
Abmatic AI, VWOTwo alternatives
Kameleoon, MutinyThree alternatives
Convert Experiences, PostHog, Zoho PageSenseMiniMax M2.5Markettailor, VWOConvert ExperiencesChangedOptimizely CMSGrowthBookagainst: Google OptimizeOptimizely CMSagainst: Adobe Targetagainst: Dynamic Yield, Google Optimize, Sisense
Two alternatives
AB Tasty, MutinyTwo alternatives
Personyze, VWOSeven alternatives
AB Tasty, Contentsquare, Dynamic Yield, Kameleoon, Monetate, Statsig, VWOFour alternatives
Crazy Egg, PostHog, Statsig, VWOThree alternatives
AB Tasty, Kameleoon, VWOGPT-6 LunaVWOagainst: MutinyVWOHeldno first choiceConvert Experiences, GrowthBookagainst: VWOno first choiceagainst: AB Tasty, Adobe Target, Google Optimize, Optimizely CMS, VWO
One alternative
Optimizely CMSOne alternative
Optimizely CMSMuse Glimmer 30BMutiny, VWOagainst: Adobe Target, Optimizely CMSConvert ExperiencesChangedagainst: Optimizely CMSOptimizely CMSGrowthBookno first choiceagainst: AB Tasty, Adobe Target, Dynamic Yield – now Mastercard Dynamic Yield, Google Optimize, Optimizely CMS, SiteSpect
Three alternatives
HubSpot, Kameleoon, PersonyzeThree alternatives
AB Tasty, Kameleoon, VWOFour alternatives
Adobe Target, Dynamic Yield, Kameleoon, VWO – Visual Website OptimizerTwo alternatives
PostHog, 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 12:17 | yes | 18 | 9 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:02 | yes | 4 | 6 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:57 | yes | 16 | 32 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 07:47 | yes | 21 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:08 | yes | 24 | 9 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:08 | yes | 5 | 4 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:26 | yes | 25 | 48 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:47 | yes | 5 | 1 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:48 | no | 0 | 27 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:39 | yes | 18 | 41 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:42 | yes | 24 | 95 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 12:02 | yes | 13 | 29 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:57 | yes | 3 | 17 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:37 | yes | 15 | 26 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:26 | no | 0 | 4 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:43 | yes | 4 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 12:40 | yes | 18 | 28 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 08:09 | yes | 24 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:23 | yes | 20 | 6 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 14:08 | yes | 5 | 2 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:16 | yes | 21 | 30 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:23 | yes | 5 | 1 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:26 | yes | 12 | 32 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:08 | yes | 24 | 34 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:44 | yes | 16 | 20 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:34 | yes | 5 | 32 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 13:51 | yes | 2 | 13 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 14:05 | yes | 14 | 16 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 14:01 | yes | 9 | 9 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:58 | yes | 6 | 10 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:54 | yes | 20 | 30 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 10:01 | yes | 19 | 6 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:52 | yes | 24 | 8 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:29 | yes | 15 | 9 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:27 | yes | 23 | 38 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:10 | yes | 5 | 1 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:50 | no | 0 | 31 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:56 | yes | 14 | 23 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:09 | yes | 14 | 37 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:57 | yes | 15 | 26 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:56 | yes | 9 | 29 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:33 | yes | 15 | 31 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:13 | yes | 9 | 6 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:50 | yes | 5 | 6 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 12:54 | yes | 23 | 34 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 09:34 | yes | 20 | 3 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:50 | yes | 24 | 5 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:20 | yes | 8 | 11 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:31 | yes | 24 | 18 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 13:13 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 12:05 | yes | 24 | 41 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:01 | yes | 10 | 20 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:33 | yes | 24 | 43 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:26 | yes | 14 | 28 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 13:28 | yes | 3 | 22 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 13:07 | yes | 14 | 19 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:29 | yes | 18 | 15 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:11 | no | 0 | 12 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:22 | no | 0 | 18 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 09:32 | yes | 19 | 6 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:31 | yes | 19 | 7 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:56 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:00 | yes | 18 | 55 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:38 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:02 | yes | 5 | 44 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:36 | yes | 24 | 37 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:07 | yes | 19 | 25 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:29 | yes | 10 | 23 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:27 | yes | 4 | 27 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 14:03 | yes | 15 | 22 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:13 | yes | 19 | 10 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:37 | yes | 4 | 5 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:15 | yes | 18 | 28 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 11:16 | yes | 20 | 5 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:52 | yes | 25 | 9 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:05 | yes | 5 | 6 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:41 | yes | 24 | 37 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:54 | yes | 5 | 1 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:15 | yes | 23 | 50 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:22 | yes | 25 | 24 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:45 | yes | 25 | 25 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:58 | yes | 20 | 36 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 13:08 | yes | 2 | 19 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 12:54 | yes | 25 | 35 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
Adobe read as Adobe Target
Convert read as Convert Experiences
Convert (Convert Experiences) read as Convert Experiences
Convert (Convert.com) read as Convert Experiences
Convert.com read as Convert Experiences
Convert.com (Convert Experiences) read as Convert Experiences
Salesforce Personalization read as Salesforce Marketing Cloud Personalization
Unresolved, counted raw
Contentsquare Convert
Datadog Experiments
Dynamic Yield – now Mastercard Dynamic Yield
Hello Bar
Rebuy
Salesforce
Shogun A/B tools
VWO Testing
VWO – Visual Website Optimizer
Discontinued, still offered
No shut-down product was recommended here.