# Heap: how AI models rank it, October 2026

GTM AI Recommendation Index, October 2026 Edition. Named in 89 judge labels across 5 categories by 14 of 14 models. Page: https://gtm-ai-index.com/vendors/heap/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Product analytics | 3% | 5 | 24% | 51 |
| Customer intelligence and data science | 0% | 24 | 28% | 18 |
| Web analytics | 0% | 19 | 12% | 16 |
| Session replay and heatmaps | 0% | 24 | 0% | 3 |
| Tag management | 0% | 40 | 0% | 1 |

## 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, Product analytics)
- "Heap is ideal for mid-market B2B SaaS teams and non-technical product managers who need fast time-to-insight" (Llama 4 Maverick, Product analytics)
- "if you are under pressure to show immediate results and lack engineering resources, Heap will win you the most internal friends." (Qwen 3.7 Flash, Product analytics)
- "This autocapture approach makes it one of the most user-friendly tools for product, UX, and growth teams that want insights fast." (Muse Glimmer 30B, Product analytics)

## And against it

- "Avoid Heap for now — While powerful, it costs $2,000-5,000/month and is designed for enterprise budgets" (Kimi K2, Customer intel)
- "Post-acquisition decline... Heap and Mixpanel have the most documented customer pain points" (Kimi K2, Product analytics)
- "Heap (now by Contentsquare) – Be highly cautious" (Grok 4.1 Fast, Product analytics)
- "Less control over what data is collected, no native experimentation capability, and weaker data governance compared to Amplitude or Mixpanel." (DeepSeek V4 Flash, Customer intel)

## Movement since September 2026

Floor: 11 points of share, measured on the calibration repeat. A larger change is movement; a smaller one is noise.

- Product analytics: 0% to 3%, +4. Inside the floor by 7 points · rank 11 → 5 of 40.
- Customer intelligence and data science: 0% to 0%, ±0. Inside the floor by 11 points · rank 73 → 24 of 142.
- Web analytics: 0% to 0%, ±0. New · not ranked in September 2026 · rank 19 of 91.
- Session replay and heatmaps: 0% to 0%, ±0. New · not ranked in September 2026 · rank 24 of 56.
- Tag management: 0% to 0%, ±0. Inside the floor by 11 points · rank 21 → 40 of 67.

## The company

Contentsquare; https://contentsquare.com; Paris, France; founded 2008. From Wikidata, fetched 2026-09-14.

## In its own words

What Heap's own pages state, read 2026-09-28. Stated by the vendor, not checked by the index.

- Positioning: Heap by Contentsquare is the only digital insights platform that shows everything users do on your site, revealing the "unknown unknowns" that stay invisible with other tools. (https://heap.io/)
- For: Product teams (https://heap.io/)
- Price stated: Free; Custom Session Pricing (https://www.heap.io/pricing)
- Starting price: Free (https://www.heap.io/pricing)
- Free plan or trial: Free Trial (https://heap.io/)
- Integrations claimed: 100 (https://heap.io/)
- Certifications: SOC-2 Certified, GDPR Compliant, CCPA Compliant, ISO 27001, 27701, 27017, 27018
- Customers named: Freshworks, Huel, Lending Club, Esurance, Redfin, Klaviyo, Xandr

## What it publishes

Every page heap.io exposes, read 2026-09-29: 829 addresses. By kind, pages and the last 90 days:

- blog: 318 pages, 0 in the last 90 days, latest undated
- case study: 17 pages, 0 in the last 90 days, latest undated
- webinar or virtual event: 66 pages, 0 in the last 90 days, latest undated
- conference or event: 1 pages, 0 in the last 90 days, latest undated
- report or ebook: 65 pages, 0 in the last 90 days, latest undated
- comparison: 9 pages, 0 in the last 90 days, latest undated
- template or tool: 3 pages, 0 in the last 90 days, latest undated
- glossary or explainer: 2 pages, 0 in the last 90 days, latest undated
- podcast or video: 13 pages, 0 in the last 90 days, latest undated
- news or press: 24 pages, 0 in the last 90 days, latest undated

## Record

- Method: https://gtm-ai-index.com/methodology/
- Raw judge labels and full responses: https://gtm-ai-index.com/data/
- License: CC BY 4.0. Cite as GTM AI Recommendation Index, October 2026 Edition, gtm-ai-index.com.