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Guide · November 2026 Edition

Product analytics: what fourteen AI models recommend, and why, November 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 64 products. Three of them carry at least 10 labels and a first choice, and are ranked. This guide walks the top three in the order the mid-market standing puts them, with what the models said for and against each, in their words. Amplitude leads at 46% of first choices, a clear leader.

At a glance

The top three of three 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 Amplitude46%13%71Mid-market, Enterpriseendorsed leader
2 PostHog33%6%71Small businessendorsed leader
3 Mixpanel22%16%75noneaccepted 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. 64 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 v2026-11-09.1.

A measured floor

The noise floor

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

United States. Named in ten categories this edition.

Amplitude is #1 of 3 for the mid-market buyer at 46% of first choices, from 71 labels by 14 of 14 models; 13% 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 4 at 5%; mid-market #1 of 3 at 46%; enterprise #1 of 5 at 61%.

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

What the models said for it

“Amplitude: Strong all-rounder for behavioral analytics, AI insights, experimentation, and enterprise governance. Best if you need depth + scalability.” Grok 4.20 · scale prompt · first choice
“The Gold Standard for Deep Insights: Amplitude ... widely considered the leader in the space for large-scale B2B SaaS companies.” Qwen 3.7 Flash · paraphrase prompt · first choice

And against it

“Why to avoid: Amplitude receives a high share of negative labels (31% in one analysis)” Mistral Small · negative prompt · hard negative

2. PostHog

Named in nine categories this edition.

PostHog is #2 of 3 for the mid-market buyer at 33% of first choices, from 71 labels by 14 of 14 models; 6% of those labels were cautions or warnings. Zero of fourteen models named it first on the direct question. It led the budget-constrained framing. By buyer: small business #1 of 4 at 62%; mid-market #2 of 3 at 33%; enterprise #5 of 5 at 4%.

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

What the models said for it

“For a limited budget, PostHog (open-source, generous free tier, all-in-one features) is often the best starting point.” GLM 4.7 FlashX · budget prompt · first choice
“For most lean startups today, PostHog is widely recommended as the best balance of price, power, and flexibility.” Qwen 3.7 Flash · budget prompt · first choice

And against it

“PostHog's interface assumes more technical comfort, with the HogQL query editor being powerful but requiring SQL knowledge” Claude Haiku 4.5 · negative prompt · soft negative
“its broad all-in-one toolkit can create operational complexity. Be cautious if you lack engineering ownership” Perplexity Sonar · negative prompt · soft negative

3. Mixpanel

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

Mixpanel is #3 of 3 for the mid-market buyer at 22% of first choices, from 75 labels by 14 of 14 models; 16% of those labels were cautions or warnings. Five of fourteen models named it first on the direct question. By buyer: small business #2 of 4 at 25%; mid-market #3 of 3 at 22%; enterprise #2 of 5 at 22%.

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

What the models said for it

No positive label in this category carried a quote.

And against it

“Mixpanel has received significant attention following a data breach in November 2025 that exposed profile information for some API users” MiniMax M2.5 · negative prompt · hard negative

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 10 of 14 modelsMixpanel (5)
Paraphrase Amplitude 8 of 14 modelsMixpanel (4), PostHog (1)
Comparative Amplitude 7 of 14 modelsMixpanel (3)
Budget-constrained PostHog 14 of 14 modelsAmplitude (1), Mixpanel (1)
Scale-constrained Amplitude 2 of 14 models
Negative Fathom 1 of 14 modelsPlausible (1)

By buyer

BuyerLeadsThen
Small business PostHog 62%Mixpanel, Amplitude, Google Analytics 4
Mid-market Amplitude 46%PostHog, Mixpanel
Enterprise Amplitude 61%Mixpanel, Pendo, GrowthBook

Every category by buyer.

Questions the record answers

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

Amplitude, in 46% of first choices for a mid-market B2B company in the November 2026 Edition, from 71 labels. The index calls that a clear leader.

Does the answer change with the size of the company?

Small business: PostHog at 62%. Mid-market: Amplitude at 46%. Enterprise: Amplitude at 61%. 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; paraphrase Amplitude; comparative Amplitude; budget-constrained PostHog; scale-constrained Amplitude; negative Fathom. The table above has the counts.

How stable is one answer?

The repeat measurement is published with the next edition.

Where do the answers come from?

Fourteen of the fourteen models return sources. Their 70 answers here cite 716 pages; the sites cited most are amplitude.com, mixpanel.com, linkedin.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

The page is published under CC BY 4.0. The output is the models' output; nothing here is a recommendation by the index.