GTM AI Index
Index Customer Feedback › Google Forms vs CustomerGauge
Customer feedback and surveys · September 2026 Edition

Google Forms vs CustomerGauge

Zero of twelve models named Google Forms first on the direct prompt; four named CustomerGauge. Google Forms was named by twelve of the twelve models and CustomerGauge by nine and Google Forms carries 25 labels and CustomerGauge 12, so the shares are not directly comparable.

Google Forms

accepted challenger

By Google Search, United States, founded 1997. Named in two categories this edition.

CustomerGauge

accepted challenger

Named in four categories this edition.

First-choice share15%13%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate12%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#2A position in a field of 18; printed, not drawn.
Labels2512A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Google Forms reading right to left. Rank and label count are printed, not drawn.Survicate was named alongside these two in seven of the twelve direct answers. Google Forms vs Retently · CustomerGauge vs Retently

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the customer feedback and surveys page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
Google FormsFirst choices, of twelve modelsCustomerGauge
Direct04
Paraphrase03
Comparative00
Budget-constrained80
Scale-constrained001 against Google Forms
Negative102 against Google Forms
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

The direct prompt

The plain question, one answer per model, grouped by where Google Forms and CustomerGauge stood in it.

CustomerGauge first, Google Forms not the choice

4 of 12 modelsGoogle Forms was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashCustomerGauge alternatives: Canny, Retently, Survicate, UserVoice
Perplexity SonarCustomerGauge, Enterpret alternatives: Lumoa, Perspective AI
Grok 4.1 FastCustomerGauge alternatives: AskNicely, Retently, Survicate
Qwen 3.7 FlashCustomerGauge alternatives: Perspective AI, SurveySparrow, Survicate

Neither was the first choice, one was named

2 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Mistral SmallHelply alternatives: CustomerGauge, SurveySparrow
DeepSeek V4 FlashRetently alternatives: CustomerGauge, QuestionPro, SurveySparrow, Survicate

Neither was named

6 of 12 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Retently alternatives: Medallia Concierge, Nicereply, Simplesat, SurveyMonkey, SurveySparrow, Zonka Feedback
GPT-5.4 miniQualtrics alternatives: Medallia
Llama 4 MaverickQuestionPro, SurveySparrow, Survicate alternatives: Medallia, Perspective AI, Qualtrics
Kimi K2Survicate alternatives: AskNicely, Nicereply, Retently, SurveySparrow
GLM 4.7 FlashXCanny alternatives: Productboard, UserVoice
MiniMax M2.5SurveyMonkey alternatives: Medallia, Pendo, Qualtrics, Survicate

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Google Forms leads by fifteen points.
Google Forms19%#2 of 15
CustomerGauge4%#7 of 15
The full small business standing →
Mid-marketThe figures above
Google Forms leads by two points.
Google Forms15%#1 of 18
CustomerGauge13%#2 of 18
The full mid-market standing →
Enterprise
The order flips: CustomerGauge leads at enterprise.
CustomerGauge26%#2 of 10
Google Forms0%#– of 10
The full enterprise standing →

What the models said about Google Forms

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.

“You are too large for simple, disconnected tools (like free Google Forms or basic Typeform accounts)” Gemini 3.5 Flash · scale prompt · soft negative
“Zero design flexibility, no logic jumps on free tier, lower completion rates” Kimi K2 · negative prompt · soft negative
“Google Forms & Microsoft Forms (Be cautious of: Branding & Security)” Gemini 3.5 Flash · negative prompt · soft negative
“For a truly limited budget, start with Google Forms — it's free, reliable, and handles basic feedback collection perfectly.” MiniMax M2.5 · budget prompt · first choice
“If your budget is literally zero: Google Forms (or Tally if you want a more modern look) is the way to go.” DeepSeek V4 Flash · budget prompt · first choice
“the best overall starting point is usually Google Forms if you only need basic surveys at zero cost” Perplexity Sonar · budget prompt · first choice

What the models said about CustomerGauge

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.

“The best NPS and customer experience survey tools for mid-sized B2B companies include CustomerGauge, Qualtrics XM, Medallia, SAS Customer Experience, and GetFeedback.” Llama 4 Maverick · paraphrase prompt · first choice
“the strongest all-around choice is CustomerGauge if your priority is account-level feedback tied to revenue, churn reduction, and expansion” Perplexity Sonar · direct prompt · first choice
“I'd recommend CustomerGauge if your priority is account-level NPS and tying feedback to revenue, churn risk, and customer success actions” Perplexity Sonar · paraphrase prompt · first choice
Also compared

Comparisons are drawn for the top three products in each category. The output is the models' output; nothing here is a recommendation by the index.