AI Indexes
GTM AI Index
Index › Products › Statista · October 2026 Edition
2 categories · Ranked

Statista

25Judge labels
1First choices
6Negative labels
11 / 14Models named it
2Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10-05.2, every buyer segment counted.
Best standing
2% in Market intelligence for mid-market buyers
Rank 25 of 172 in the mid-market standing
0 of 14 models made it the first choice on the direct prompt; 17% of its 6 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In market intelligence · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named Statista for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
CategoryFunctionShareRankNegative rateLabelsQuadrantSince September 2026
Market intelligence platformsGTM data and infrastructure2%25 of 17217%6under 10 labels · led by Apollo.io at 17%
Audience and consumer insights platformsMarketing0%41 of 1550%4under 10 labels · led by SparkToro at 19%

Movement

This is the first edition on this tier, so no move can be computed for Statista yet. From the next edition this section shows, per buyer segment and per category, whether its share moved by more than the measured noise floor.

By model

How each model treated Statista across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500101
GPT-5.4 mini00000
Gemini 3.5 Flash10001
Perplexity Sonar00000
Grok 4.1 Fast00101
Mistral Small00202
DeepSeek V4 Flash00202
Llama 4 Maverick00000
Qwen 3.7 Flash00011
Kimi K201001
GLM 4.7 FlashX00101
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B00000

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct0 labelsNone
Paraphrase5 labels1
Comparative7 labelsNone
Budget-constrained3 labelsNone
Scale-constrained2 labelsNone
Negative8 labels1not counted in share
First choiceAlternativeMentionNegative25 labels in all, every segment counted; 1 of the 2 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“Statista (Top Mid-Market Recommendation)... buying a single corporate seat of Statista is highly affordable” Gemini 3.5 Flash · Market intelligence · paraphrase prompt · first choice
“Best for: Statistical data and DIY analysis” Kimi K2 · Audience insights · comparative prompt · alternative

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

“Avoid (or use sparingly): Statista (for deep analysis)” Qwen 3.7 Flash · Market intelligence · negative prompt · hard negative

Named alongside

The products named in the same answers as Statista, over the 25 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Statista was named but was not.
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ProductSame answerTook the first choice insteadHead to head
ZoomInfo11 of 250Not among the top eight
Similarweb10 of 250Not among the top eight
Semrush9 of 250Not among the top eight
Meltwater8 of 251Not among the top eight
Google Trends7 of 251Not among the top eight
Brand247 of 250Not among the top eight
SurveyMonkey7 of 250Not among the top eight
Google Analytics 46 of 252Not among the top eight
LinkedIn Sales Navigator6 of 252Not among the top eight
GWI6 of 251Not among the top eight
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Statista. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 21 of the 25 answers that named Statista and are not a share of its labels.

Domains cited

g2.com7
guideflow.com7
meltwater.com7
pipeline.zoominfo.com7
explodingtopics.com6
gartner.com6
gitnux.org6
marketintelligencetools.com6
britopian.com5
youscan.io5

No domain is on file for Statista, so its own site is not marked.

Pages cited

Pages are listed as the models cited them.

Search and answers

Where Statista stands in Google search beside where it stands in the models' answers.
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In search

Google, US estimates
Searches for its name, Google
27,100 a month (“statista”)
AI search demand for its name, est.
209 a month
Its own site
No site of its own on file, so no site figures

In answers

This edition
Share of first choices
2%
rank 25 of 172 in market intelligence
Segment leader
17%
Apollo.io
First choices
1 across its categories
Named in
25 answers
Its own site cited
No site on file to match

Search figures are US estimates from DataForSEO, read October 5, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.

Follow Statista

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Statista's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Statista, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for Statista by email, built from the raw record of the edition. It shows:

  • where Statista is named, by buyer and by framing, and which cells hold its first choices;
  • the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
  • its vocabulary against the segment leader's, and the pages the models cited;
  • who was chosen in the answers that did not name Statista, and every reason the record gives;
  • a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
  • one page of published figures cleared to show a buyer.
The subscriber app

A verification link goes to your work email; an address at the vendor's own domain is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.