Seamless.AI alternatives: how to choose a contact data tool in 2026

Seamless.AI sells contact data by credits. Its own help article lists 50 credits on the free license that do not replenish, 250 a month on Basic and 10,000 a month on Pro, and one credit finds one contact with title, email and phone. This post explains what that means, how to choose an alternative without comparing the wrong numbers, and where Sellinger fits. We make a competing product, so check every claim against the sources linked.

What does Seamless.AI say about its plans?

From its help article on credit types, read on 25 October 2026 (Seamless.AI):

• Free: 50 Universal Credits. "On a Free License, credits do not replenish."
• Basic: 250 Universal Credits a month, refreshing on the monthly anniversary of the contract start.
• Pro: 10,000 Universal Credits a month, refreshing monthly on the contract date.
• Enterprise: the article describes bulk purchase pool credits that do not automatically replenish, and lists no monthly allowance.
• What a credit buys: researching a contact with Find uses 1 credit per contact and generates the full contact profile, including titles, emails and phone numbers. Data Enrich uses 1 credit per contact or row.

The pricing page content we could read on the same date showed no paid prices, so we state none. Ask the vendor for a quote and read the contract terms, in particular how credits expire and renew.

Why compare cost per verified contact?

Because a credit is a unit the vendor defines. One tool's credit gets you an email, another's gets an email and a phone, a third charges separately. Comparing 10,000 credits with 5,000 lookups tells you nothing until you know what each buys and how often it is right.

A fairer number: cost per verified contact on your own sample.

1. Take 200 people you actually want to reach, across your regions and roles.
2. Run the same 200 through each tool you are considering.
3. For each, count the contacts that returned an email, and the ones that returned a phone.
4. Verify a sample of the emails (send through a verification step) and note how many are valid.
5. Divide the cost of that run by the number of verified contacts.

Write the result as a rate with a base: "of 200 people, 131 returned an email, 118 of those passed verification". Do this once per tool, and keep the run date, since data ages.

What else should you compare?

The legal point in the fifth row is real. Under the GDPR you need a lawful basis and must tell people where you got their data when you did not collect it from them. See the B2B phone number finder post for the sources, and the GDPR text. This is not legal advice.

What kinds of alternative exist?

Rather than rank named products, which would need fresh prices from each, here are the categories. Our compare pages hold sourced detail on named tools, such as the best lead enrichment tools and Lusha alternatives.

Large contact databases with seat or credit plans. Broad coverage, usually priced for teams. Good if you need many contacts in many markets and have a person to manage lists.

Pay per lookup enrichment. You bring a list and pay for each hit. Cheaper for small, targeted lists, and clear on cost. The lead enrichment post explains how combining sources raises hit rates.

Email finders and verifiers. Narrow tools that find or check an address. Useful if you already have names and companies.

Outreach platforms with data included. The data tool and the sender are the same product, so the list goes straight into a campaign. Sellinger is in this group.

Where does Sellinger fit?

Sellinger includes a contact database of 700M+ contacts, where you can search people and companies and find verified emails and phone numbers. Email, company and person lookups are priced at $0.01 each, and usage modules such as enrichment start with a $10 credit. Coverage differs by region and role, so test a sample of your own first, as described above. The enrichment credits explained page lists what each lookup costs.

The difference is what happens next. A found contact becomes a lead, and the agent writes to them on LinkedIn, email or WhatsApp, answers the replies and books the meeting. If all you want is a file of contacts to export, a dedicated data tool may fit better. If you want the contacts to be written to, having the data and the sender in one place saves a step and keeps the suppression list in one place: before every send on email, LinkedIn and WhatsApp the platform checks the team's suppression list.

A short buying checklist

• Define the people you want (regions, roles, company size).
• Run the same 200 people through each tool you consider.
• Count found, verified and wrong, with the base.
• Ask what a credit buys and when it expires.
• Ask for the sources of the data.
• Decide whether you need a file or a campaign.
• Keep the run date next to your result.

The cheapest credit is not the cheapest contact. Compare what you can verify, on your own list.

What does a sample test look like in practice?

This is a made up example to show the arithmetic. You choose 200 people: 100 marketing directors in the UK and 100 operations managers in Germany. Tool A returns an email for 150 of them and tool B for 120. That looks like a win for A. Then you verify a sample of 40 emails from each: A has 30 valid, B has 38.

Now compute valid emails on the whole run: A about 112 of 200, B about 114 of 200. They are level, and the cost per valid email is what separates them. The coverage number alone would have sent you to the wrong tool.

Do the same split by region. A tool that is excellent in the UK and poor in Germany will average out to something that hides both facts, and you may only need one of the regions.

When is a free tier enough?

If you only need a handful of contacts, a free license with a small credit allowance may be enough, as long as you know the credits do not replenish. For anything repeating, a monthly allowance or a pay per lookup model avoids running out in the middle of a campaign.

What should you do before you cancel anything?

Export the contacts you have already paid for, and note which credits remain and when they expire. Keep a record of where each contact came from and the date, so that you can answer "how did you get my details?" later. Then run your 200 person test on the new tool before you move a live campaign, and keep the old tool until the new one has produced a month of results you can count.