# Recast: how AI models rank it, October 2026

GTM AI Recommendation Index, October 2026 Edition. Named in 15 judge labels across 1 categories by 9 of 14 models. Page: https://gtm-ai-index.com/vendors/recast/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Attribution and marketing mix modeling | 3% | 8 | 13% | 15 |

## What the models said for it

- "Recast | Self-serve Bayesian MMM, fast refresh, no data science team needed | Companies wanting modern MMM without heavy lift" (Kimi K2, Attribution & MMM)
- "If you have 1-2 analysts with intermediate statistics experience, look closely at Recast or Haus." (Gemini 3.5 Flash, Attribution & MMM)
- "Add MMM with: Recast ... offers the best balance of modern methodology and mid-market accessibility" (Kimi K2, Attribution & MMM)
- "Best for: Growth teams wanting always-on, self-serve Bayesian MMM." (DeepSeek V4 Flash, Attribution & MMM)

## And against it

- "Enterprise-grade, managed MMM and multi-touch attribution (MTA) platforms (like Recast, Measured, or Rockerbox) routinely cost upwards of $50,000 to $150,000+ per year." (Gemini 3.5 Flash, Attribution & MMM)
- "Recast has limitations if you need custom transformations—like modeling promo mechanics with different lag structures per SKU." (Claude Haiku 4.5, Attribution & MMM)

## Movement since September 2026

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

- Attribution and marketing mix modeling: 9% to 3%, −5. Inside the floor by 6 points · rank 3 → 8 of 123.

## In its own words

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

- Positioning: Planning & Analysis Infrastructure; fast and accurate incrementality measurement, comprising Recast's Causal MMM and Recast GeoLift. (https://getrecast.com/)
- For: Marketing teams managing billions; Fortune 500, CPG, fintech, pharmaceutical, and DTC brands. (https://getrecast.com/)
- Certifications: SOC 2 compliant, a badged Meta Measurement Partner, badged Meta Measurement Partner
- Customers named: Block, Harry’s, GetYourGuide, Lume, Negative, PODS

## What it publishes

Every page getrecast.com exposes, read 2026-09-29: 398 addresses. By kind, pages and the last 90 days:

- blog: 75 pages, 2 in the last 90 days, latest 2026-09-03
- case study: 12 pages, 0 in the last 90 days, latest 2025-12-10
- conference or event: 2 pages, 0 in the last 90 days, latest undated
- report or ebook: 2 pages, 0 in the last 90 days, latest undated
- comparison: 10 pages, 0 in the last 90 days, latest 2025-11-12
- 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: 1 pages, 0 in the last 90 days, latest undated
- news or press: 2 pages, 0 in the last 90 days, latest 2022-08-31
- Recent: 2026-09-03 blog: Research brand search drivers https://getrecast.com/research-brand-search-drivers
- Recent: 2026-07-29 blog: Research channel footprint scaling https://getrecast.com/research-channel-footprint-scaling
- Recent: 2026-05-28 blog: Deep dive synthetic controls https://getrecast.com/deep-dive-synthetic-controls
- Recent: 2026-03-05 blog: Why should you care to leave the comfort of your spreadsheet https://getrecast.com/why-should-you-care-to-leave-the-comfort-of-your-spreadsheet
- Recent: 2026-02-18 blog: Intro to causal thinking https://getrecast.com/intro-to-causal-thinking
- Recent: 2026-02-11 blog: Understand and manage multicollinearity https://getrecast.com/understand-and-manage-multicollinearity

## 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.