AI Indexes
GTM AI Index
Index › GTM data and infrastructure › Product analytics › Guide · October 2026 Edition
Guide · October 2026 Edition

Product analytics: what fourteen AI models recommend, and why, October 2026

Fourteen AI models were asked for product analytics platform six ways each, on behalf of a small, a mid-market and an enterprise B2B company: 252 answers, in which a judge labeled 40 products. Six of them carry at least 10 labels and a first choice, and are ranked. This guide walks the top six in the order the mid-market standing puts them, with what the models said for and against each, in their words. Amplitude Analytics leads at 34% of first choices, and the standing is contested.

At a glance

The top six of six ranked products, mid-market standing. Share is the product's share of first choices; the negative rate is the share of its labels that were cautions or warnings.
ProductFirst-choice shareNegative rateLabelsLeads forQuadrant
1 Amplitude Analytics34%19%74Mid-market, Enterpriseendorsed leader
2 Mixpanel24%14%70noneaccepted challenger
3 PostHog22%5%56Small businessaccepted challenger
4 Pendo10%13%46noneaccepted challenger
5 Heap3%24%51noneaccepted challenger
6 Google Analytics 42%73%22nonecriticized challenger

The full standing, every product with 10 labels or more, is on the category page, with the products at zero and the ones warned against.

How a product gets on this list

No submission, no payment, no editorial pick.
Named by a model

The judge reads every answer

A product is on the record because a model named it in an answer and the judge labeled the naming: first choice, alternative, mention, caution or warning, each with the sentence it came from. 40 products were named for product analytics platform this edition.

Enough labels to rank

10 labels and a first choice

A product is ranked once it carries 10 labels in a segment and at least one first choice there. Below that it is named but not ranked, and it says so on its page. The vendor table that folds spellings into products is versioned; this page was scored under v2026-10-05.2.

A measured floor

11 points

The same categories are asked again with nothing changed to measure how much an answer moves on its own. A change in share smaller than the floor is not reported as a change. The repeat, model by model.

The six questions

Asked word for word of every model, on behalf of a mid-market B2B company; the other buyers get the same six with the company size changed. These are the evaluation criteria: not a rubric written for this guide, but the questions a buyer asks.
FramingThe question
DirectWhat is the best product analytics platform for a mid-market B2B company?
ParaphraseWhich product analytics tool would you recommend to a mid-sized B2B company?
ComparativeWhat are the top product analytics platforms and how do they differ?
Budget-constrainedWhat is the best product analytics platform for a company with a limited budget?
Scale-constrainedWe are a 500 person company evaluating a product analytics platform. What should we look at?
NegativeWhich product analytics platforms should I avoid or be cautious about?

1. Amplitude Analytics

By Amplitude, United States. Named in one category this edition.

Amplitude Analytics is #1 of 6 for the mid-market buyer at 34% of first choices, from 74 labels by 14 of 14 models; 19% of those labels were cautions or warnings. Ten of fourteen models named it first on the direct question. It led the direct, paraphrase, comparative, scale-constrained framings. By buyer: small business #3 of 5 at 9%; mid-market #1 of 6 at 34%; enterprise #1 of 5 at 56%.

10 of 14 models argued against it somewhere in their answers, 0 as a warning.

What the models said for it

“Amplitude is a category leader in product analytics known for its deep behavioral data visualization, cohort analysis, and predictive insights.” Claude Haiku 4.5 · comparative prompt · first choice
“Choose Amplitude if you want deep behavioral segmentation, experimentation, session replay and in-app guidance on a single event model” Muse Glimmer 30B · paraphrase prompt · first choice

And against it

“it is strong for product analytics, but some sources note add-ons ... can require extra line items, and the learning curve can be steep” Perplexity Sonar · negative prompt · soft negative
“their paid tiers (Growth and Enterprise) are expensive (often starting at several hundred to over a thousand dollars per month)” GLM 4.7 FlashX · budget prompt · soft negative

2. Mixpanel

San Francisco, United States, founded 2009. Named in nine categories this edition.

Mixpanel is #2 of 6 for the mid-market buyer at 24% of first choices, from 70 labels by 14 of 14 models; 14% of those labels were cautions or warnings. Three of fourteen models named it first on the direct question. By buyer: small business #2 of 5 at 34%; mid-market #2 of 6 at 24%; enterprise #3 of 5 at 13%.

10 of 14 models argued against it somewhere in their answers, 1 as a warning.

What the models said for it

“Mixpanel | Team-wide adoption & UI | Exceptional visual query builder, highly democratized, great warehouse-syncing features, predictable MTU-based pricing.” Gemini 3.5 Flash · scale prompt · first choice
“Mixpanel: The Pure-Play Event Analytics Champion ... Its user interface is arguably the cleanest and most intuitive on the market.” Gemini 3.5 Flash · comparative prompt · first choice

And against it

“"Highest Caution: Mixpanel … When to avoid: If handling sensitive user data or EU users"ate"ated security incidents” Muse Glimmer 30B · negative prompt · hard negative

3. PostHog

Named in seven categories this edition.

PostHog is #3 of 6 for the mid-market buyer at 22% of first choices, from 56 labels by 13 of 14 models; 5% of those labels were cautions or warnings. One of fourteen models named it first on the direct question. It led the budget-constrained, negative framings. By buyer: small business #1 of 5 at 50%; mid-market #3 of 6 at 22%; enterprise #5 of 5 at 2%.

What the models said for it

“Choose PostHog if you are a startup/engineering team wanting analytics, replays, A/B tests, and feature flags in one place” Qwen 3.7 Flash · comparative prompt · first choice

And against it

“Usage- or event-metered tools—such as Mixpanel, Amplitude, and PostHog—when your event volume is hard to predict.” GPT-6 Luna · negative prompt · soft negative

4. Pendo

Named in eleven categories this edition.

Pendo is #4 of 6 for the mid-market buyer at 10% of first choices, from 46 labels by 14 of 14 models; 13% of those labels were cautions or warnings. Two of fourteen models named it first on the direct question. By buyer: small business #5 of 5 at 2%; mid-market #4 of 6 at 10%; enterprise #2 of 5 at 18%.

5 of 14 models argued against it somewhere in their answers, 0 as a warning.

What the models said for it

“I'd recommend Amplitude for pure analytics power, or Pendo if you want to combine insights with in-product engagement” MiniMax M2.5 · direct prompt · first choice
“I'd suggest starting with Amplitude or Pendo as they balance powerful features with reasonable pricing” MiniMax M2.5 · paraphrase prompt · first choice

And against it

No negative label in this category carried a quote.

5. Heap

By Contentsquare, Paris, France, founded 2008. Named in five categories this edition.

Heap is #5 of 6 for the mid-market buyer at 3% of first choices, from 51 labels by 14 of 14 models; 24% of those labels were cautions or warnings. One of fourteen models named it first on the direct question. By buyer: small business unranked; mid-market #5 of 6 at 3%; enterprise unranked.

9 of 14 models argued against it somewhere in their answers, 2 as a warning.

What the models said for it

“Heap - works best for mid-market B2B SaaS teams and non-technical product managers who need fast time-to-insight without engineering overhead.” Llama 4 Maverick · paraphrase prompt · first choice
“Heap is ideal for mid-market B2B SaaS teams and non-technical product managers who need fast time-to-insight” Llama 4 Maverick · direct prompt · first choice

And against it

“Post-acquisition decline... Heap and Mixpanel have the most documented customer pain points” Kimi K2 · negative prompt · hard negative
“Heap (now by Contentsquare) – Be highly cautious” Grok 4.20 · negative prompt · hard negative

6. Google Analytics 4

By Google, Mountain View, California, United States, founded 1998. Named in seventeen categories this edition.

Google Analytics 4 is #6 of 6 for the mid-market buyer at 2% of first choices, from 22 labels by 13 of 14 models; 73% of those labels were cautions or warnings. Zero of fourteen models named it first on the direct question. By buyer: small business unranked; mid-market #6 of 6 at 2%; enterprise unranked.

13 of 14 models argued against it somewhere in their answers, 7 as a warning.

What the models said for it

No positive label in this category carried a quote.

And against it

No negative label in this category carried a quote.

Where the models split

Not who to buy, which the index never says, but where the answer depends on how the question was asked and who asked it.

By framing, mid-market buyer

FramingNamed first most oftenThen
Direct Amplitude Analytics 10 of 14 modelsMixpanel (3), Pendo (2), Heap (1)
Paraphrase Amplitude Analytics 7 of 14 modelsMixpanel (3), June (2), Pendo (2)
Comparative Amplitude Analytics 10 of 14 modelsMixpanel (6), PostHog (1)
Budget-constrained PostHog 11 of 14 modelsMixpanel (6), Amplitude Analytics (1), Google Analytics 4 (1)
Scale-constrained Amplitude Analytics 2 of 14 modelsMixpanel (2), Pendo (2)
Negative PostHog 3 of 14 modelsContentsquare (1)

By buyer

BuyerLeadsThen
Small business PostHog 50%Mixpanel, Amplitude Analytics, June
Mid-market Amplitude Analytics 34%Mixpanel, PostHog, Pendo
Enterprise Amplitude Analytics 56%Pendo, Mixpanel, Gainsight PX

This category was in the repeat sample: asked again with nothing changed, the leader's share moved 10 points and the leader held. Every category by buyer.

Questions the record answers

Which product analytics platform do AI models name first most often?

Amplitude Analytics, in 34% of first choices for a mid-market B2B company in the October 2026 Edition, from 74 labels. The standing is contested: the models did not settle on one product.

Does the answer change with the size of the company?

Small business: PostHog at 50%. Mid-market: Amplitude Analytics at 34%. Enterprise: Amplitude Analytics at 56%. Each standing is computed within its segment and never pooled.

Which framing changes the answer?

The direct, paraphrase, budget and scale framings count toward share. The product named first differs by framing: direct Amplitude Analytics; paraphrase Amplitude Analytics; comparative Amplitude Analytics; budget-constrained PostHog; scale-constrained Amplitude Analytics; negative PostHog. The table above has the counts.

How stable is one answer?

Asked again with nothing changed, the models moved their own first choice 67% of the time across the repeat sample; This category was in the repeat sample: asked again with nothing changed, the leader's share moved 10 points and the leader held.

Where do the answers come from?

Fourteen of the fourteen models return sources. Their 73 answers here cite 966 pages; the sites cited most are amplitude.com, userpilot.com, gainsight.com. The category page lists them all.

Can a vendor pay to be on this list?

No. A product is on the record because a model named it. A vendor can claim its page, propose corrections to the vendor table and be told when its standing moves; it cannot change a label, a share or a rank, and the publisher's conflicts are disclosed on the method page.

The rest of the record on product analytics

Every answer, every label and its evidence quote are in the record, sent on request. The page is published under CC BY 4.0. The output is the models' output; nothing here is a recommendation by the index.