# Lusha: how AI models rank it, October 2026

GTM AI Recommendation Index, October 2026 Edition. Named in 114 judge labels across 5 categories by 14 of 14 models. Page: https://gtm-ai-index.com/vendors/lusha/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Sales intelligence and contact data | 4% | 3 | 13% | 52 |
| Data enrichment | 2% | 6 | 16% | 45 |
| Account-based marketing platforms | 2% | 8 | 0% | 4 |
| B2B intent data providers | 2% | 10 | 8% | 12 |
| Market intelligence platforms | 0% | 107 | 0% | 1 |

## What the models said for it

- "Start with Lusha free/ $37/mo for verified contacts + buying signals + enrichment." (Muse Glimmer 30B, ABM)
- "Safer bets from reviews: Tools like Lusha (98% email accuracy, free tier)" (Grok 4.1 Fast, Enrichment)
- "For most SMB and mid-market teams, Lusha is the strongest overall pick" (Claude Haiku 4.5, Sales intel)
- "Apollo.io or Lusha are the right entry points. Both offer free tiers" (Claude Haiku 4.5, Enrichment)

## And against it

- "Low email accuracy: Independent checks suggest only about 68% email return at roughly 82% accuracy, which is below industry standards." (Mistral Small, Enrichment)
- "Tools that have faced regulatory actions (e.g., Lusha's Italy fine) should be avoided in sensitive jurisdictions." (GLM 4.7 FlashX, Enrichment)
- "The credit model can feel like a trap... Users report accuracy has declined, particularly for phone numbers" (Claude Haiku 4.5, Sales intel)
- "Some users report issues with outdated contact information and relatively high pricing for infrequent use." (Claude Haiku 4.5, Enrichment)

## Movement since September 2026

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

- Sales intelligence and contact data: 0% to 4%, +5. Inside the floor by 6 points · rank 5 → 3 of 52.
- Data enrichment: 0% to 2%, +2. Inside the floor by 9 points · rank 11 → 6 of 50.
- B2B intent data providers: 2% to 2%, ±0. Inside the floor by 11 points · rank 10 of 60, unchanged.
- Account-based marketing platforms: 0% to 2%, ±0. Inside the floor by 11 points · rank 48 → 8 of 71.
- Market intelligence platforms: 0% to 0%, ±0. New · not ranked in September 2026 · rank 107 of 172.

## The company

Lusha Systems; https://www.lusha.com/; Boston, United States; founded 2016; about 400 employees (2026). From Wikidata, fetched 2026-09-14.

## In its own words

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

- Positioning: the B2B data and intelligence layer for GTM teams and AI agents (https://lusha.com/)
- For: GTM teams and AI agents (https://lusha.com/)
- Price stated: The free plan needs no credit card. Limits are on the pricing page. (https://lusha.com/)
- Starting price: 0 (https://www.lusha.com/pricing)
- Free plan or trial: Start for free (https://lusha.com/)
- Integrations claimed: 40 (https://www.lusha.com/partners)
- Certifications: Accredited ISO 27701, ISO/IEC 42001, SOC 2 Type II, ISO 27001, ISO 27701, ISO 31700, ISO 42001, TRUSTe seal
- Customers named: WalkMe, Zesty, Oracle NetSuite, xGrowth, Insight Global, Nextgen, Carto, Suxeed

## What it publishes

Every page lusha.com exposes, read 2026-09-29: 1963 addresses. By kind, pages and the last 90 days:

- blog: 576 pages, 10 in the last 90 days, latest 2026-09-17
- case study: 34 pages, 0 in the last 90 days, latest 2026-03-31
- webinar or virtual event: 26 pages, 0 in the last 90 days, latest 2026-06-18
- conference or event: 2 pages, 0 in the last 90 days, latest 2026-05-28
- report or ebook: 4 pages, 0 in the last 90 days, latest undated
- comparison: 45 pages, 1 in the last 90 days, latest 2026-09-17
- template or tool: 6 pages, 0 in the last 90 days, latest 2026-03-29
- glossary or explainer: 142 pages, 0 in the last 90 days, latest 2026-06-28
- podcast or video: 1 pages, 0 in the last 90 days, latest undated
- news or press: 1 pages, 0 in the last 90 days, latest 2023-06-27
- Recent: 2026-09-17 blog: Privacy first b2b data vendors compared https://www.lusha.com/blog/privacy-first-b2b-data-vendors-compared
- Recent: 2026-09-17 comparison: Global coverage vs local depth b2b databases https://www.lusha.com/blog/global-coverage-vs-local-depth-b2b-databases
- Recent: 2026-09-17 blog: How to choose a b2b data api for lead enrichment https://www.lusha.com/blog/how-to-choose-a-b2b-data-api-for-lead-enrichment
- Recent: 2026-09-16 blog: How to find direct dials https://www.lusha.com/blog/how-to-find-direct-dials
- Recent: 2026-09-16 blog: How to refresh stale crm data https://www.lusha.com/blog/how-to-refresh-stale-crm-data
- Recent: 2026-09-16 blog: What to use to enrich crm records https://www.lusha.com/blog/what-to-use-to-enrich-crm-records

## 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.