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

Product analytics: what twelve AI models recommend, and why, September 2026

Twelve AI models were asked for product analytics platform six ways each, on behalf of a small, a mid-market and an enterprise B2B company: 216 answers, in which a judge labeled 43 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 leads at 30% 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 Amplitude30%21%62Mid-market, Enterpriseaccepted challenger
2 Mixpanel28%17%60noneaccepted challenger
3 PostHog21%4%56Small businessaccepted challenger
4 Pendo11%11%45noneaccepted challenger
5 LogRocket2%10%10noneaccepted challenger
6 Google Analytics 42%61%23nonecriticized 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. 43 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 v2026-09-16.3.

A measured floor

10 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

United States. Named in nine categories this edition.

Amplitude is #1 of 6 for the mid-market buyer at 30% of first choices, from 62 labels by 12 of 12 models; 21% of those labels were cautions or warnings. Five of twelve models named it first on the direct question. It led the direct, comparative, scale-constrained framings. By buyer: small business #3 of 6 at 8%; mid-market #1 of 6 at 30%; enterprise #1 of 4 at 49%.

11 of 12 models argued against it somewhere in their answers, 1 as a warning.

What the models said for it

“Choose Amplitude if: You have a mature data culture, need the absolute deepest behavioral cohorting and predictive analytics available, and want built-in experimentation.” Gemini 3.5 Flash · scale prompt · first choice
“Some of the top product analytics tools include Amplitude, which is best for mid-size to enterprise teams focused on growth and optimization.” Llama 4 Maverick · direct prompt · first choice

And against it

“Consistently rated as the most expensive option at scale... A poor fit for cost-sensitive teams” Kimi K2 · negative prompt · hard negative
“Steep learning curve with reliance on technical expertise... Pricing is opaque in ways that create unpleasant surprises at scale” Claude Haiku 4.5 · negative prompt · soft negative

2. Mixpanel

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

Mixpanel is #2 of 6 for the mid-market buyer at 28% of first choices, from 60 labels by 12 of 12 models; 17% of those labels were cautions or warnings. Five of twelve models named it first on the direct question. It led the paraphrase framing. By buyer: small business #2 of 6 at 34%; mid-market #2 of 6 at 28%; enterprise #3 of 4 at 8%.

9 of 12 models argued against it somewhere in their answers, 3 as a warning.

What the models said for it

“Choose Mixpanel if: You want a highly intuitive, self-serve interface that your non-technical teams will actually use” Gemini 3.5 Flash · scale prompt · first choice
“Mixpanel is frequently cited as the best balance of cost, ease of use, and B2B-specific features” Qwen 3.7 Flash · paraphrase prompt · first choice

And against it

“Highest Caution: Mixpanel ... When to avoid: If handling sensitive user data or EU users” Grok 4.1 Fast · negative prompt · hard negative

3. PostHog

Named in seven categories this edition.

PostHog is #3 of 6 for the mid-market buyer at 21% of first choices, from 56 labels by 12 of 12 models; 4% of those labels were cautions or warnings. Zero of twelve models named it first on the direct question. It led the budget-constrained, negative framings. By buyer: small business #1 of 6 at 43%; mid-market #3 of 6 at 21%; enterprise unranked.

What the models said for it

“Choose PostHog if: You have a developer-heavy culture, want to consolidate product analytics, session replays, and feature flags into a single SDK” Gemini 3.5 Flash · scale prompt · first choice
“If you have a technical team and want to get the absolute most value for $0, PostHog is the top choice.” Gemini 3.5 Flash · budget prompt · first choice

And against it

“While tools like PostHog are fantastic, choosing to *self-host* them ... can turn into an engineering resource drain.” Gemini 3.5 Flash · negative prompt · soft negative
“Moderate Caution ... Teams prioritizing data ownership → PostHog (self-hosted)” Qwen 3.7 Flash · negative prompt · soft negative

4. Pendo

Named in seven categories this edition.

Pendo is #4 of 6 for the mid-market buyer at 11% of first choices, from 45 labels by 12 of 12 models; 11% of those labels were cautions or warnings. Two of twelve models named it first on the direct question. By buyer: small business #4 of 6 at 6%; mid-market #4 of 6 at 11%; enterprise #2 of 4 at 31%.

4 of 12 models argued against it somewhere in their answers, 1 as a warning.

What the models said for it

“Pendo is an all-round product experience platform... a good fit for mid-to-enterprise companies” Llama 4 Maverick · paraphrase prompt · first choice
“If you need to improve activation and onboard new users effectively, choose Pendo.” Qwen 3.7 Flash · direct prompt · first choice

And against it

“Secondary analytics depth ... Opaque enterprise pricing ... Analytics afterthought” Qwen 3.7 Flash · negative prompt · hard negative

5. LogRocket

Named in one category this edition.

LogRocket is #5 of 6 for the mid-market buyer at 2% of first choices, from 10 labels by 7 of 12 models; 10% of those labels were cautions or warnings. Zero of twelve models named it first on the direct question. By buyer: small business unranked; mid-market #5 of 6 at 2%; enterprise unranked.

What the models said for it

“such as PostHog, Countly, or LogRocket” Llama 4 Maverick · budget prompt · first choice
“Best for: Developer-focused analytics and debugging” Kimi K2 · comparative prompt · alternative

And against it

“Session replay tools broadly (FullStory, Hotjar, LogRocket, Smartlook, etc.) - Inherent privacy danger” DeepSeek V4 Flash · negative prompt · soft negative

6. Google Analytics 4

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

Google Analytics 4 is #6 of 6 for the mid-market buyer at 2% of first choices, from 23 labels by 12 of 12 models; 61% of those labels were cautions or warnings. Zero of twelve models named it first on the direct question. By buyer: small business #5 of 6 at 4%; mid-market #6 of 6 at 2%; enterprise unranked.

9 of 12 models argued against it somewhere in their answers, 8 as a warning.

What the models said for it

“For a tight budget, start with Google Analytics 4 (if web-focused) or Statsig (if you need product analytics beyond web tracking)” MiniMax M2.5 · budget prompt · first choice

And against it

“Avoid GA4 for EU-based products or if you need product-level insights (it's marketing-focused)” MiniMax M2.5 · negative prompt · hard negative
“Thin product analytics: Optimized for marketing/attribution rather than product behavior” Qwen 3.7 Flash · 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 5 of 12 modelsMixpanel (5), Pendo (2), Amplitude Analytics (1)
Paraphrase Mixpanel 5 of 12 modelsAmplitude (4), Pendo (3)
Comparative Amplitude 7 of 12 modelsMixpanel (1), PostHog (1)
Budget-constrained PostHog 9 of 12 modelsMixpanel (2), Amplitude (1), Countly (1)
Scale-constrained Amplitude 4 of 12 modelsMixpanel (1), PostHog (1)
Negative PostHog 2 of 12 modelsPostHog EU/self-hosted (1)

By buyer

BuyerLeadsThen
Small business PostHog 43%Mixpanel, Amplitude, Pendo
Mid-market Amplitude 30%Mixpanel, PostHog, Pendo
Enterprise Amplitude 49%Pendo, Mixpanel, Heap

This category was in the repeat sample: asked again with nothing changed, the leader's share moved 2 points and the leader changed to Mixpanel. Every category by buyer.

Questions the record answers

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

Amplitude, in 30% of first choices for a mid-market B2B company in the September 2026 Edition, from 62 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 43%. Mid-market: Amplitude at 30%. Enterprise: Amplitude at 49%. 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 Mixpanel; comparative Amplitude; budget-constrained PostHog; scale-constrained Amplitude; 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 66% of the time across the repeat sample; This category was in the repeat sample: asked again with nothing changed, the leader's share moved 2 points and the leader changed to Mixpanel.

Where do the answers come from?

Four of the twelve models return sources. Their 19 answers here cite 183 pages; the sites cited most are amplitude.com, learn.g2.com, userpilot.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 free record. Published under CC BY 4.0. The output is the models' output; nothing here is a recommendation by the index.