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Audience and consumer insights platforms · November 2026 Edition

GWI vs 6sense

Two of fourteen models named GWI first on the direct prompt; three named 6sense. GWI was named by fourteen of the fourteen models and 6sense by eight and GWI carries 42 labels and 6sense 12, so the shares are not directly comparable.

GWI

accepted challenger

Named in two categories this edition.

6sense

accepted challenger

Named in twenty-eight categories this edition.

First-choice share10%6%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate19%17%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#5A position in a field of 12; printed, not drawn.
Labels4212A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, GWI reading right to left. Rank and label count are printed, not drawn.SparkToro vs GWI · SparkToro vs 6sense · GWI vs Audiense

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; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the audience and consumer insights platforms page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
GWIFirst choices, of fourteen models6sense
Direct231 against GWI
Paraphrase202 against 6sense
Comparative50
Budget-constrained101 against GWI
Scale-constrained00
Negative106 against GWI
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where GWI and 6sense stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
GWI 6sense first choice named as an alternative argued againstblank: not namedEach cell is one answer, GWI on the left and 6sense on the right.

The direct prompt

The plain question, one answer per model, grouped by where GWI and 6sense stood in it.

GWI first, 6sense an alternative

2 of 14 models6sense was named in the answer but not as the choice, or not at all.
Grok 4.20GWI alternatives: Audiense, Cognism, HG Insights, Resonate, ZoomInfo
DeepSeek V4 FlashGWI alternatives: 6sense, Apollo.io, Brandwatch Consumer Intelligence, Meltwater

6sense first, GWI an alternative

3 of 14 modelsGWI was named in the answer but not as the choice, or not at all.
GPT-5.4 mini6sense alternatives: Brandwatch Consumer Intelligence, GWI, Meltwater
Perplexity Sonar6sense alternatives: Bombora, ZoomInfo
Kimi K26sense alternatives: Apollo.io, Demandbase, ZoomInfo

Neither was the first choice, one was named

4 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5LinkedIn Analytics alternatives: Bombora, Factors.ai, GWI, HG Insights, HubSpot ABM
Gemini 3.5 FlashApollo.io, SparkToro alternatives: 6sense, Bombora, Factors.ai, Koala, ZoomInfo
GLM 4.7 FlashXAdRoll ABM alternatives: Apollo.io, Bombora, Cognism, G2 Buyer Intent, GWI, N.Rich, UpLead
Muse Glimmer 30BSparkToro alternatives: Audiense, Brandwatch Consumer Intelligence, GWI, ReachStream, ZoomInfo

Neither was named

5 of 14 modelsThe answer made no first choice from these two in this category.
Mistral SmallAudiense, ReachStream alternatives: Wynter
Llama 4 MaverickAudiense
Qwen 3.7 FlashAudiense alternatives: CleverX, ReachStream, SparkToro, Wynter
MiniMax M2.5Apollo.io alternatives: LinkedIn Sales Navigator, ZoomInfo
GPT-6 LunaWynter alternatives: AdRoll ABM, SparkToro

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
GWI leads by two points.
GWI2%#9 of 18
6sense0%#– of 18
The full small business standing →
Mid-marketThe figures above
GWI leads by four points.
GWI10%#2 of 12
6sense6%#5 of 12
The full mid-market standing →
Enterprise
GWI leads by eighteen points.
GWI32%#1 of 16
6sense14%#3 of 16
The full enterprise standing →

What the models said about GWI

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

“Users report issues with data inaccuracy and limited data for certain regions” Mistral Small · negative prompt · hard negative
“Avoid enterprise platforms such as GWI, Brandwatch, and Audiense” Perplexity Sonar · budget prompt · hard negative
“Generally well-rated (4.4/5 on G2 for usability and data volume), but as a survey/social hybrid, it's not immune to broader industry quality erosion.” Grok 4.20 · negative prompt · soft negative
“Prefer platforms that rely on transparent zero-party/first-party data (e.g., opt-in consumer panels like GWI or YouGov)” Gemini 3.5 Flash · negative prompt · first choice
“GWI (Global Web Index) stands out as the best overall audience insights platform for a mid-market B2B company” Grok 4.20 · direct prompt · first choice
“GWI or YouGov for audience profiling, Brandwatch for real-time listening, NielsenIQ for purchase data” DeepSeek V4 Flash · comparative prompt · first choice

What the models said about 6sense

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

“the best choice is usually 6sense if your main goal is account-based audience insights tied to pipeline and revenue” GPT-5.4 mini · direct prompt · first choice
Also compared

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