GTM AI Index
September 2026 Edition, expanded tier · The six flagship models on every category, as published September 9, 2026. The public index runs on the standard tier; this record is what the Expanded Edition Pack delivers on one category. The category page →
Index Customer September 2026 Edition

Customer success platforms

Asked as “customer success platform”, and as “customer health and retention management tool”, on behalf of a mid-market B2B software company. 56 first choices recorded across the direct, paraphrase, budget and scale prompts, six models each.
Standing
Contested
39% of first choices, contested.

01The standing

Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all six models, for a mid-market B2B software company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrant
01ChurnZero39%17%58endorsed leader
02Vitally23%12%50accepted challenger
03Custify16%5%42accepted challenger
04HubSpot Service Hub5%13%15accepted challenger
05Totango4%18%45accepted challenger
06Skalin4%7%14accepted challenger
07ClientSuccess2%14%35accepted challenger
08Catalyst2%14%14accepted challenger
Show the two products at 0%, ordered by negative rate
10Gainsight0%64%53criticized challenger
09Planhat0%22%40accepted challenger
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its vendor page.

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
S06
07
08
09
10
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01ChurnZero39%
02Vitally23%
03Custify16%
04HubSpot Service Hub5%
05Totango4%
06Skalin4%
07ClientSuccess2%
08Catalyst2%
09Planhat0%
10Gainsight0%

02What they warned about

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.
Gainsight
64%
34 of 53 labels negative · 10 of 6 models · 12 hard negative
“Gainsight - has a high risk score of 57/100 and 4 documented complaints, with issues related to aggressive subscription billing, cancellation friction” Llama 4 Maverick, negative prompt
ChurnZero
17%
10 of 58 labels negative · 7 of 6 models · 3 hard negative
“Platforms to AVOID on a Limited Budget | **ChurnZero** | Starts at ~$849/month + $5K-25K setup fees” Kimi K2, budget prompt
Totango
18%
8 of 45 labels negative · 7 of 6 models · 2 hard negative
“Totango ⚠️ MIXED SIGNALS (Post-Merger Issues) ... 2024 merger with Catalyst created instability and uncertainty” Mistral Small, negative prompt
Planhat
22%
9 of 40 labels negative · 6 of 6 models · 2 hard negative
“What to Avoid on a Budget ... generally not where you should start” DeepSeek V4 Flash, budget prompt

03What they cite

Citations exist only for the models that return a source list: four of the six in this edition.

Sites the answers cite

20 of 72 answers in this category came back with a source list, from 4 of 6 models: citations where the model returns them, or the search results it consulted. 6 of those lists are Google grounding redirects that name no site and are left out of the counts. 175 links across 74 sites, every framing counted. Ranked by the number of answers carrying the site or page. The other 2 models searched through a gateway that returned no source list on this edition.

9 answers · 12 citations · 2 models
vendor site · Userpilot9 answers · 9 citations · 2 models
vendor site · Gartner7 answers · 7 citations · 3 models
6 answers · 6 citations · 2 models
5 answers · 5 citations · 3 models
vendor site · Oliv5 answers · 5 citations · 2 models
4 answers · 5 citations · 1 model
vendor site · Guideflow4 answers · 5 citations · 2 models
vendor site · Appcues4 answers · 4 citations · 2 models
4 answers · 4 citations · 1 model
3 answers · 5 citations · 2 models
vendor site · Skalin3 answers · 5 citations · 1 model

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.

04How 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.
ModelDirect“What is the best customer success platform for a mid-market B2B company?”Paraphrase“Which customer health and retention management tool would you recommend to a mid-sized B2B company?”Comparative“What are the top customer success platforms and how do they differ?”Budget-constrained“What is the best customer success platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a customer success platform. What should we look at?”Negative“Which customer success platforms should I avoid or be cautious about?”
Claude Opus 5no first choiceno first choiceno first choiceno first choiceno first choicenothing named
Claude Opus 4.8no first choiceno first choiceno first choiceno first choiceno first choicenothing named
GPT-6 Astrano first choiceno first choiceno first choiceno first choiceno first choicenothing named
GPT-5.6 Solno first choiceno first choiceno first choiceno first choiceno first choicenothing named
Gemini 3.1 Prono first choiceno first choiceno first choiceno first choiceno first choicenothing named
Perplexity Sonar Prono first choiceno first choiceno first choiceno first choiceno first choicenothing named
Bold is the first choiceAlternatives are counted; the count opens them.What the answer argued against

05The 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
Zero rows: every prompt, every model, every answer.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency

Normalization in this category

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

Category-scoped readings
HubSpot read as HubSpot Customer Success Workspace
Salesforce read as Salesforce Service Cloud
Unresolved, counted raw
Catalyst Software
Cuoral
Freshsuccess
HubSpot Customer Success Hub
Nativity/Zendesk
Pebble
Procentrix
Retain
Salesforce Client 360
Salesforce Service Cloud + Einstein
Shape/Hatch
SuccessCompass
Territory Management
Workona
Discontinued, still offered
No shut-down product was recommended here.
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