AI Indexes
GTM AI Index
September 2026 Edition, expanded tier · The six flagship models on every category, as published September 9, 2026. The public index runs on the standard tier; this record is what the Expanded Edition Pack delivers on one category. The category page →
Index › GTM data and infrastructure › September 2026 Edition

Product analytics

Asked as “product analytics platform”, and as “product analytics tool”, on behalf of a mid-market B2B software company. 58 first choices recorded across the direct, paraphrase, budget and scale prompts, six models each.
Standing · first-choice share
34%
Contested · Mixpanel 24%
34Amplitude Analytics24Mixpanel22PostHog19others

34% of first choices, contested.

Since September 2026▲+3Since September 2026: 32% → 35%, +3 points. Inside the 12-point floor: within noise. Read over the models both editions asked.Amplitude Analytics held the lead, +3 points on 32%, inside the 12-point floor.

The standing

Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all six models, for a mid-market B2B software company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Amplitude Analytics34%19%74endorsed leader▲+3Since September 2026: 32% → 35%, +3 points. Inside the 12-point floor: within noise. Read over the models both editions asked.32% → 35%
02Mixpanel24%14%70accepted challenger▼−4Since September 2026: 28% → 24%, −4 points. Inside the 12-point floor: within noise. Read over the models both editions asked.28% → 24%
03PostHog22%5%56accepted challenger=heldSince September 2026: 21% → 22%, ±0 points. Inside the 12-point floor: within noise. Read over the models both editions asked.21% → 22%
04Pendo10%13%46accepted challenger▲+1Since September 2026: 11% → 12%, +1 point. Inside the 12-point floor: within noise. Read over the models both editions asked.11% → 12%
05Heap3%24%51accepted challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 4%
06Google Analytics 4 Lab in the set2%73%22criticized challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 12-point floor: within noise. Read over the models both editions asked.2% → 2%
Show the one product at 0%, ordered by negative rate
07Fullstory0%32%19criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 0%

The floor is 12 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. How the floor is measured

Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.

Google Analytics 4 is made by Google, whose model Gemini 3.1 Pro is in the set. On the four share prompts that model made it the first choice zero times of 4; the other five models zero times of 20. Lab treatment is defined on the method page; the row is marked, not excluded.

All six head-to-head pages: the top four products, each against each

Recommended versus criticized

Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.

Criticized challengerCriticized default
Negative label rate →
01
02
03
04
05
06
07
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01Amplitude Analytics34%
02Mixpanel24%
03PostHog22%
04Pendo10%
05Heap3%
06Google Analytics 42%
07Fullstory0%

What they warned about

A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Google Analytics 4
73%
16 of 22 labels negative · 13 of 6 models · 7 hard negative
“**Avoid GA4 as your main product-analytics system** if you care about funnels, retention, feature adoption, or cohort analysis.” Perplexity Sonar, negative prompt
Mixpanel
14%
10 of 70 labels negative · 10 of 6 models · 1 hard negative
“"Highest Caution: Mixpanel … When to avoid: If handling sensitive user data or EU users"ate"ated security incidents” Muse Glimmer 30B, negative prompt
Amplitude Analytics
19%
14 of 74 labels negative · 10 of 6 models
“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
Heap
24%
12 of 51 labels negative · 9 of 6 models · 2 hard negative
“Post-acquisition decline... Heap and Mixpanel have the most documented customer pain points” Kimi K2, negative prompt

What they cite

Citations exist only for the models that return a source list: fourteen of the six in this edition.

Sites the answers cite

73 of 84 answers in this category came back with a source list, from 14 of 6 models: citations where the model returns them, or the search results it consulted. 966 links across 199 sites, every framing counted. Ranked by the number of answers carrying the site or page. None of the 36 answers across every segment cited this index's own page for the category.

vendor site · Amplitude53 answers · 99 citations · 14 models
vendor site · Userpilot35 answers · 37 citations · 11 models
vendor site · Gainsight32 answers · 35 citations · 11 models
vendor site · Pendo30 answers · 35 citations · 11 models
vendor site · checkthat.ai29 answers · 35 citations · 11 models
vendor site · PostHog26 answers · 44 citations · 11 models
vendor site · CleverX25 answers · 28 citations · 11 models
vendor site · LinkedIn23 answers · 25 citations · 10 models
vendor site · Guideflow23 answers · 24 citations · 8 models
23 answers · 24 citations · 9 models
22 answers · 22 citations · 10 models
vendor site · Mixpanel21 answers · 28 citations · 9 models

Pages the answers cite

The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.

Search against answers

Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best product analytics platform”, “product analytics platform”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
Company and productsShareOwn site citedName searches, GoogleAI search demand, est.Organic visitsPaid search a month, est.Google ads, last 30 daysBest Google position
Amplitude Analytics amplitude.com34%2072,40066373,273$207272
Mixpanel mixpanel.com24%46612,10045820,284$45811
PostHog posthog.com22%35533,10027125,936120
Pendo pendo.io10%42012,10076119,185$3,60993
Contentsquare heap.io
Heap 3%
3%19840,50011,45416,541327
June june.so3%32135,000209,4011,167
Google analytics.google.com
Google Analytics 4 2%
2%4749,900348
Userpilot userpilot.com0%2511,6001062,08463
Fullstory fullstory.com0%2265,400159141,869$348148
Statsig statsig.com0%7412,100182353,837$1766

Google's top ten for the two searches hold 16 sites; 4 of them are among the sites the models cited here (amplitude.com, gainsight.com, learn.g2.com, userpilot.com). The first result for “best product analytics platform” is domo.com.

How they answered

Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
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ModelDirect“What is the best product analytics platform for a mid-market B2B company?”Paraphrase“Which product analytics tool would you recommend to a mid-sized B2B company?”Comparative“What are the top product analytics platforms and how do they differ?”Budget-constrained“What is the best product analytics platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a product analytics platform. What should we look at?”Negative“Which product analytics platforms should I avoid or be cautious about?”
Claude Opus 5no first choiceno first choiceno first choiceno first choiceno first choicenothing named
Claude Opus 4.8no first choiceno first choiceno first choiceno first choiceno first choicenothing named
GPT-6 Astrano first choiceno first choiceno first choiceno first choiceno first choicenothing named
GPT-5.6 Solno first choiceno first choiceno first choiceno first choiceno first choicenothing named
Gemini 3.1 Prono first choiceno first choiceno first choiceno first choiceno first choicenothing named
Perplexity Sonar Prono first choiceno first choiceno first choiceno first choiceno first choicenothing named
Bold is the first choiceAlternatives are counted; the count opens them.What the answer argued against

The record

One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record
Zero rows: every prompt, every model, every answer.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency

Noise floor in this category

Flips between the edition run and its calibration repeat. Six prompts per model is a small sample; the index-wide floor is the number to trust.

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Normalization in this category

Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.

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Category-scoped readings
Amplitude read as Amplitude Analytics
Unresolved, counted raw
Heap, by Contentsquare
Klaritics
Whatfix Product Analytics
Discontinued, still offered
No shut-down product was recommended here.
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