ContactOut vs Seamless.AI
 ContactOut |  Seamless.AI | |
|---|---|---|
| Sentiment | ||
| Score | 44/100 | 13/100 |
| Rank in category | #3 | #14 |
| Rated comments | 18 | 17 |
| Best for | Recruiters who need personal email addresses; Pulling emails for contacts found on LinkedIn | Budget-conscious reps who want a cheaper alternative to ZoomInfo and will verify data themselves |
| Skip it if | Sending to its emails without a separate verification step; Users who only want a simple LinkedIn lookup | Teams that cannot absorb a hard-to-cancel annual contract; Buyers who need dependable email accuracy without separate verification |
| Starting price | $39/mo | Custom pricing |
| Pricing (vendor-stated) | Limited-time free tier (5 emails, phones and exports a day, one user). Email plan $49/mo monthly or $39/mo billed annually; Email + Phone $99/mo monthly or $79/mo billed annually; both single-user. Cheaper regional plans exclude US data (from $19/mo billed annually). Team and API plans are sales-led. | Sales-led pricing; no public plan prices. The pricing page asks how many contacts you need per month and your company size before quoting, and offers free sign-up and competitor switch discounts. |
About 18 first-hand, non-promotional comments, many from recruiters, give a mixed but mostly favourable picture: ContactOut is rated for personal emails and for pulling contacts from LinkedIn profiles, while several senders report that not every email is verified and bounces follow, and views on its phone numbers are split. Promotion is heavy: the corpus filter already dropped 81 repeat-promoter comments, an Apollo employee called out astroturfing for ContactOut in one r/coldemail thread where several accounts praised it within days in February 2026, a September and October 2025 burst of 'tried it, tech team was great' testimonials was excluded, and many criticisms came only inside pitches for Prospeo, FullEnrich and other tools, so those are not counted either.
Users like
- Strong on personal email addresses; a tech recruiter who tried it alongside RocketReach found it the stronger of the two for personal emails[1][2]
- Works well for LinkedIn-sourced lists; one user who has used a dozen data tools says it stands out across almost every vertical when starting from LinkedIn[1][2][3]
- Email accuracy is rated well by some users, including one team reporting under 2% bounces on LinkedIn-sourced lists[1][2]
- Helps recruiters find hard-to-reach passive candidates[1]
Users complain about
- Not every email it returns is verified; several users report bounces and say results need a separate verification pass[1][2][3]
- Phone coverage was poor for SaaS contacts in one user's experience, and another found its numbers less accurate than ZoomInfo's (other users rate its mobiles well)[1][2]
- Has grown from a lookup tool into a broader sales platform; a user who only needed LinkedIn lookups found it overkill and left, and another barely used it because the interface was confusing[1][2]
- You are locked into its credit-based pricing model, which one user cites as a reason to build their own sourcing instead[1]
Independent users are largely negative: the most common reports are inaccurate data (guessed email patterns, wrong phone numbers, bounce rates near 20%), annual contracts that are hard to exit, and aggressive sales follow-up. A minority, mostly in 2023 to 2026 comments, rate the data as good enough to replace ZoomInfo at a fraction of the price, so data quality is contested rather than settled. The corpus shows no promotional seeding, but much of it is older r/sales discussion from 2022 and 2023.
Users like
Users complain about
- Data accuracy is the main complaint: emails guessed from naming conventions, wrong phone numbers, and one two-year customer reporting 18 to 23% bounce rates[1][2][3][4][5]
- Annual contracts with no cancellation; buyers describe being unable to exit and continuing to receive bills[1][2][3]
- Aggressive sales outreach and weak support once the deal is signed; one person says the company cold called them about 20 times after removal requests[1][2][3][4]
- Teams that tested it against ZoomInfo went back to ZoomInfo, citing more accurate and thorough data[1][2]