September 2026 Edition, published · The permanent record of that edition, superseded since. The current standing is on the category page →
Index › GTM › Marketing › Experimentation › Enterprise · September 2026 Edition

Experimentation and personalization for enterprise buyers

Asked as “website experimentation and personalization platform”, and as “A/B testing and personalization tool”, on behalf of an enterprise B2B company. 49 first choices recorded across the direct, paraphrase, budget and scale prompts, twelve models each.
Standing · first-choice share
45%
Clear leader
45Optimizely CMS12Adobe Target12VWO31others

45% of first choices, clear leader.

ShowinginAll 112 categories in the September 2026 Edition →

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 twelve models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrant
01Optimizely CMS45%24%62endorsed leader
02VWO12%21%53accepted challenger
03Adobe Target12%31%55criticized challenger
04GrowthBook8%0%20accepted challenger
05Kameleoon6%3%30accepted challenger
06Convert Experiences6%6%16accepted challenger
07Mutiny6%42%12criticized challenger
08Statsig2%0%20accepted challenger
Show the three products at 0%, ordered by negative rate
10AB Tasty0%27%26criticized challenger
09Dynamic Yield0%22%32accepted challenger
11LaunchDarkly0%21%19accepted challenger
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.
Head to headHead-to-head pages are published for mid-market buyers, so these open on mid-market figures, not enterprise.
All twenty-eight head-to-head pages: the top eight 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
10
11
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative60%
Key
01Optimizely CMS45%
02VWO12%
03Adobe Target12%
04GrowthBook8%
05Kameleoon6%
06Convert Experiences6%
07Mutiny6%
08Statsig2%
09Dynamic Yield0%
10AB Tasty0%
11LaunchDarkly0%

What they warned about

Five of twelve models held their first choice under the paraphrase. Claude Haiku 4.5, Gemini 3.5 Flash, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2 and MiniMax M2.5 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.
Adobe Target
31%
17 of 55 labels negative · 10 of 12 models · 4 hard negative
“Bundled ecosystem pricing; requires Adobe stack; $50K\u2013$500K+/year; complex usage calculations” Kimi K2, budget prompt
Optimizely CMS
24%
15 of 62 labels negative · 9 of 12 models · 2 hard negative
“Platforms to Avoid for Predictable Costs | Optimizely | Quote-only pricing; ... impression-based billing causes overage spikes” Kimi K2, budget prompt
VWO
21%
11 of 53 labels negative · 7 of 12 models · 2 hard negative
“VWO is the worst offender for predictability... not ideal for predictable enterprise budgeting” DeepSeek V4 Flash, budget prompt
Dynamic Yield
22%
7 of 32 labels negative · 6 of 12 models · 3 hard negative
“Quote-only; ~$35K+/year entry; requires clean product data” Kimi K2, budget prompt

What they cite

Four of the twelve models returned a source list in this edition: four return the pages they cited.

Sites the answers cite

22 of 72 answers in this category came back with a source list, from 4 of 12 models: citations where the model returns them, or the search results it consulted. 330 links across 144 sites, every framing counted. Ranked by the number of answers carrying the site or page. The other 8 models searched through a gateway that returned no source list on this edition.

vendor site · VWO14 answers · 19 citations · 4 models
vendor site · GrowthBook11 answers · 25 citations · 3 models
vendor site · Kameleoon10 answers · 14 citations · 3 models
vendor site · Gartner9 answers · 12 citations · 4 models
vendor site · Statsig8 answers · 22 citations · 3 models
vendor site · Guideflow8 answers · 12 citations · 3 models
vendor site · Optimizely7 answers · 12 citations · 4 models
vendor site · Personizely7 answers · 7 citations · 2 models
6 answers · 13 citations · 3 models
vendor site · Mida6 answers · 7 citations · 2 models
vendor site · Adobe4 answers · 4 citations · 1 model
vendor site · Growth Method4 answers · 4 citations · 2 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 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 productsShareOwn site citedName searches, GoogleAI search demand, est.Organic visitsPaid search a month, est.Google ads, last 30 daysBest Google position
Optimizely optimizely.com
Optimizely CMS 45%, Optimizely One 2%
47%22960,50036,211200,757 company$21203
VWO vwo.com12%14722,20044925,874145
Adobe parent site
Adobe Target 12%
12%1261,220,000117,563
GrowthBook growthbook.io8%872,9001426,64626
Kameleoon kameleoon.com6%71590328,6013
Convert Experiences convert.com6%79502220,8821
Mutiny mutinyhq.com6%69110,0003,0326800
Statsig statsig.com2%6712,100182353,837$1766
Dynamic Yield dynamicyield.com0%641,0003813,4240
AB Tasty abtasty.com0%741,0002723,5293

Google's top ten for the two searches hold 17 sites; 5 of them are among the sites the models cited here (gartner.com, guideflow.com, mida.so, optimizely.com, vwo.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
ModelDirect“What is the best website experimentation and personalization platform for an enterprise B2B company?”Paraphrase“Which A/B testing and personalization tool would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade experimentation and personalization platforms and how do they differ?”Budget-constrained“What is the best website experimentation and personalization platform for a large company that needs predictable total cost across thousands of users?”Scale-constrained“We are a 5,000 person company with SSO, SOC 2 and procurement review requirements evaluating a website experimentation and personalization platform. What should we look at?”Negative“Which experimentation and personalization platforms should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5Mutiny, Optimizely CMS
Two alternativesDynamic Yield, Kameleoon
Adobe Target, Optimizely CMSChanged
Two alternativesLaunchDarkly, Salesforce Marketing Cloud Personalization
Dynamic Yield, Optimizely CMS
Two alternativesLaunchDarkly, Monetate
against: Adobe Target
Optimizely CMS
Two alternativesAdobe Target, Dynamic Yield
no first choicenothing named
GPT-5.4 miniAdobe Target
One alternativeOptimizely CMS
against: VWO
Adobe TargetHeld
Three alternativesDynamic Yield, Optimizely CMS, Statsig
against: VWO
no first choice
Six alternativesAB Tasty, Adobe Target, Dynamic Yield, Monetate, Optimizely CMS, Statsig
Adobe Target
One alternativeOptimizely CMS
against: VWO
no first choiceagainst: Adobe Target, LaunchDarkly, Optimizely CMS
Gemini 3.5 FlashOptimizely CMS
Three alternativesAbmatic AI, Kameleoon, VWO
against: Mutiny
Optimizely OneChanged
Three alternativesAdobe Target, Kameleoon, VWO
against: Mutiny
Kameleoon, Optimizely CMS
Four alternativesAdobe Target, Dynamic Yield, Statsig, VWO
GrowthBook, Kameleoon
One alternativeStatsig
against: Optimizely CMS, VWO
no first choiceagainst: Adobe Target, Google Optimize, LaunchDarkly, Optimizely CMS, Oracle Infinity, Oracle Maxymiser
Perplexity SonarOptimizely CMS
Four alternativesAdobe Target, Kameleoon, Mutiny, VWO
Optimizely CMSHeld
Two alternativesAdobe Target, VWO
Adobe Target, Optimizely CMS
Eight alternativesDynamic Yield, Eppo, GrowthBook, Kameleoon, LaunchDarkly, Monetate, Statsig, VWO
GrowthBook
Two alternativesOptimizely CMS, VWO
no first choiceagainst: AB Tasty, Google Optimize, LaunchDarkly, Split, VWO
Grok 4.20Optimizely CMS
Four alternativesAB Tasty, Adobe Target, Kameleoon, VWO
against: Mutiny
Optimizely CMSHeld
Two alternativesAdobe Target, VWO
against: Dynamic Yield
no first choiceagainst: MutinyConvert Experiences
Two alternativesGrowthBook, VWO
against: AB Tasty, Optimizely CMS, Varify.io
no first choice
Four alternativesConvert Experiences, Kameleoon, Optimizely CMS, VWO
against: AB Tasty, Adobe Target, Attraqt, CleverTap, Crazy Egg, Crownpeak, Firebase A/B Testing, Mida, OptiMonk, Optimizely CMS, Personizely, Salesforce Marketing Cloud Personalization, SiteSpect, VWO
Mistral SmallOptimizely CMS
Four alternativesAdobe Target, Dynamic Yield, Kameleoon, Mutiny
Optimizely CMSHeld
Two alternativesAdobe Target, VWO
against: Google Optimize
Optimizely CMS
Eleven alternativesAB Tasty, Adobe Target, Dynamic Yield, GrowthBook, Harness FME, Kameleoon, LaunchDarkly, PostHog, Split, Statsig, VWO
GrowthBook, Statsigagainst: Optimizely CMSno first choiceagainst: Bloomreach, Insider, Monetate, Mutiny, Salesforce Marketing Cloud Personalization
DeepSeek V4 FlashMutiny, Optimizely CMS
One alternativeAdobe Target
against: VWO
Optimizely CMSChanged
Three alternativesAdobe Target, Mutiny, VWO
Optimizely CMS
Nine alternativesAB Tasty, Adobe Target, Dynamic Yield, Eppo, GrowthBook, Kameleoon, LaunchDarkly, Statsig, VWO
Kameleoon
Two alternativesAB Tasty, Statsig
against: Adobe Target, Optimizely CMS, VWO
Kameleoon, Optimizely CMS, VWO
One alternativeDynamic Yield
against: Adobe Target, Convert Experiences
against: AB Tasty, Adobe Target, Dynamic Yield, Kameleoon, Optimizely CMS, Salesforce Marketing Cloud Personalization, Sitecore, VWO
Llama 4 MaverickOptimizely CMSno first choiceChangedOptimizely CMS
Four alternativesAdobe Target, Dynamic Yield, Kameleoon, VWO
no first choiceno first choiceagainst: Adobe Target, Bloomreach, Dynamic Yield, Optimizely CMS, Salesforce Marketing Cloud Personalization
Qwen 3.7 FlashAdobe Target
Three alternativesAB Tasty, Optimizely CMS, VWO
Optimizely CMS, VWOChanged
Two alternativesAB Tasty, Adobe Target
Adobe Target, Optimizely CMS
Three alternativesLaunchDarkly, Split, VWO
Convert Experiences, VWO
Three alternativesKameleoon, LaunchDarkly, Statsig
against: Adobe Target, Optimizely CMS
VWO
Three alternativesAB Tasty, GrowthBook, PostHog
against: Adobe Target
against: Adobe Target, Dynamic Yield, Monetate, Optimizely CMS, Salesforce Marketing Cloud Personalization
Kimi K2Mutiny, Optimizely CMS
Three alternativesAdobe Target, Intellimize, VWO
Optimizely CMSChanged
One alternativeVWO
against: Adobe Target
Optimizely CMS
Seven alternativesAdobe Target, Dynamic Yield, Eppo, GrowthBook, LaunchDarkly, Statsig, VWO
Convert Experiences
Three alternativesGrowthBook, Kameleoon, VWO
against: AB Tasty, Adobe Target, Dynamic Yield, LaunchDarkly, Optimizely CMS
VWO
Three alternativesAdobe Target, Dynamic Yield, Optimizely CMS
against: AB Tasty, Adobe Target, Dynamic Yield, Google Optimize, Monetate, Optimizely CMS, SiteSpect, VWO
GLM 4.7 FlashXOptimizely CMS
Four alternativesAdobe Target, Bloomreach, Dynamic Yield, Salesforce Marketing Cloud Personalization
Optimizely CMSHeld
Three alternativesAB Tasty, Adobe Target, Kameleoon
Optimizely CMS
Seven alternativesAB Tasty, Adobe Target, Convert Experiences, GrowthBook, Kameleoon, LaunchDarkly, Statsig
GrowthBook
Three alternativesConvert Experiences, PostHog, Statsig
against: Adobe Target, Bloomreach, Dynamic Yield, Optimizely CMS
no first choiceagainst: Adobe Target, Optimizely CMS, VWO
MiniMax M2.5Optimizely CMS
Four alternativesAdobe Target, Convert Experiences, Kameleoon, VWO
Adobe Target, Optimizely CMSChanged
Three alternativesAB Tasty, Convert Experiences, VWO
no first choiceOptimizely CMS, VWO
Three alternativesConvert Experiences, GrowthBook, Statsig
against: AB Tasty, Adobe Target, Varify.io
no first choicenothing named
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.
Seventy-two rows: every prompt, every model, every answer.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency
Direct recommendationClaude Haiku 4.5claude-haiku-4-5-202510012026-09-15 00:47yes57 s
Direct recommendationGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-15 02:34yes35 s
Direct recommendationGemini 3.5 Flashgemini-3.5-flash2026-09-15 05:07yes2826 s
Direct recommendationPerplexity Sonarsonar2026-09-15 02:31yes195 s
Direct recommendationGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-15 04:58yes010 s
Direct recommendationMistral Smallmistral/mistral-small via mistral2026-09-15 03:17yes05 s
Direct recommendationDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-15 02:47yes026 s
Direct recommendationLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-15 04:42yes01 s
Direct recommendationQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-15 03:20no033 s
Direct recommendationKimi K2moonshotai/kimi-k2 via novita2026-09-15 01:15yes070 s
Direct recommendationGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-14 23:21yes087 s
Direct recommendationMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-14 22:55yes030 s
ParaphraseClaude Haiku 4.5claude-haiku-4-5-202510012026-09-15 02:57no010 s
ParaphraseGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-14 23:13yes57 s
ParaphraseGemini 3.5 Flashgemini-3.5-flash2026-09-15 04:30yes2429 s
ParaphrasePerplexity Sonarsonar2026-09-15 04:54yes1916 s
ParaphraseGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-14 23:21yes07 s
ParaphraseMistral Smallmistral/mistral-small via mistral2026-09-15 04:39no05 s
ParaphraseDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-09-15 02:04yes053 s
ParaphraseLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-14 23:20yes02 s
ParaphraseQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-15 00:23yes035 s
ParaphraseKimi K2moonshotai/kimi-k2 via novita2026-09-15 03:51yes043 s
ParaphraseGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-15 00:55yes019 s
ParaphraseMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-15 03:50yes024 s
ComparativeClaude Haiku 4.5claude-haiku-4-5-202510012026-09-14 23:48yes1614 s
ComparativeGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-15 04:58yes311 s
ComparativeGemini 3.5 Flashgemini-3.5-flash2026-09-15 02:04yes1732 s
ComparativePerplexity Sonarsonar2026-09-15 04:52yes2011 s
ComparativeGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-15 00:04yes09 s
ComparativeMistral Smallmistral/mistral-small via mistral2026-09-15 03:42yes010 s
ComparativeDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-09-15 01:48yes054 s
ComparativeLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-15 03:37yes02 s
ComparativeQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-15 02:31no045 s
ComparativeKimi K2moonshotai/kimi-k2 via novita2026-09-15 01:38yes049 s
ComparativeGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-15 04:35yes075 s
ComparativeMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-15 05:05yes013 s
Budget constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-09-15 00:55yes1712 s
Budget constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-15 00:44yes45 s
Budget constrainedGemini 3.5 Flashgemini-3.5-flash2026-09-15 04:12yes2030 s
Budget constrainedPerplexity Sonarsonar2026-09-15 02:31yes204 s
Budget constrainedGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-15 03:06yes09 s
Budget constrainedMistral Smallmistral/mistral-small via mistral2026-09-15 01:11yes07 s
Budget constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-09-15 02:07yes055 s
Budget constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-15 02:02yes01 s
Budget constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-15 02:35yes058 s
Budget constrainedKimi K2moonshotai/kimi-k2 via novita2026-09-15 02:03yes059 s
Budget constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-14 23:42yes062 s
Budget constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-15 05:05yes078 s
Scale constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-09-15 03:00yes2317 s
Scale constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-15 02:57yes28 s
Scale constrainedGemini 3.5 Flashgemini-3.5-flash2026-09-15 04:34no019 s
Scale constrainedPerplexity Sonarsonar2026-09-15 01:49yes2010 s
Scale constrainedGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-15 04:12yes011 s
Scale constrainedMistral Smallmistral/mistral-small via mistral2026-09-15 03:11no05 s
Scale constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-09-15 05:06yes053 s
Scale constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-15 00:30yes03 s
Scale constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-15 03:29no043 s
Scale constrainedKimi K2moonshotai/kimi-k2 via novita2026-09-15 02:52yes0100 s
Scale constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-15 03:13yes025 s
Scale constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-15 04:45yes012 s
Negative framingClaude Haiku 4.5claude-haiku-4-5-202510012026-09-15 01:19yes2112 s
Negative framingGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-15 00:13yes36 s
Negative framingGemini 3.5 Flashgemini-3.5-flash2026-09-14 23:47yes2134 s
Negative framingPerplexity Sonarsonar2026-09-15 04:18yes206 s
Negative framingGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-15 04:26yes012 s
Negative framingMistral Smallmistral/mistral-small via mistral2026-09-15 01:15yes015 s
Negative framingDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-09-15 00:26yes077 s
Negative framingLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-15 02:32yes02 s
Negative framingQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-15 01:13yes032 s
Negative framingKimi K2moonshotai/kimi-k2 via novita2026-09-14 23:14yes049 s
Negative framingGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-15 03:17yes055 s
Negative framingMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-14 23:29yes024 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.com read as Convert Experiences
Evergage (Salesforce) read as Salesforce Marketing Cloud Personalization
Evergage (now part of Salesforce Marketing Cloud) read as Salesforce Marketing Cloud Personalization
Salesforce Interaction Studio read as Salesforce Marketing Cloud Personalization
Salesforce Personalization read as Salesforce Marketing Cloud Personalization
Unresolved, counted raw
Oracle Infinity
SAP/Emarsys
Salesforce
Statsig Warehouse Native
Discontinued, still offered
No shut-down product was recommended here.
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