Omentir

Apollo Alternatives

An Apollo alternative when stale exports are why meetings never happen. Apollo stays the contact graph. Omentir is the LinkedIn workspace you run when the last CSV never became a conversation.

omentir vs apollo illustration for Omentir

Keep Apollo if reps already live in its search and sequences. Start with Omentir if the last three exports never became conversations and LinkedIn is where your buyers actually answer.

Omentir and Apollo

Object you pay for

Omentir
Agents, campaigns, and an inbox on your LinkedIn account
Apollo
A large contact and company graph plus engagement tools around it

How a record goes stale

Omentir
The person left the role or stopped matching the finder. Discovery runs again
Apollo
The row sits in a list until someone re-exports. Databases decay between exports

Default send path

Omentir
LinkedIn connection and message from the connected profile
Apollo
Email and multi-channel sequences on top of the database

What 'search' means

Omentir
Find people who match an ICP or who commented on a competitor
Apollo
Query a commercial index by title, tech, and firmographics

When the purchase is wrong

Omentir
You needed phone coverage and a team-wide contact system of record
Apollo
You needed LinkedIn conversations and bought another unused export

This page compares Omentir with Apollo only. Feature sets change. Confirm current packaging on each product site before you buy.

When Apollo should stay the system of record

Keep Apollo when several reps already sequence email from it, when RevOps reports off its fields, or when phone and email coverage is the actual bottleneck. Some teams will keep Apollo for the graph and run Omentir only on the LinkedIn slice. That is rational if you mark who already got a LinkedIn thread so the sequencer does not hit them the same morning.

Do not rip Apollo out for a two-week test. Do not import a giant Apollo dump into Omentir and call that discovery. If you trial Omentir, let a finder build a fresh LinkedIn segment with no export at all. If that segment books nothing, you have a targeting or offer problem, not proof you needed a bigger database.

An export is not a pipeline

Apollo earns its place when a sales org needs to search a huge commercial graph, pass rows into sequences, and treat that index as the system of record. That is a real job. It is also why founders end up with a CSV of 4,000 VPs and zero booked calls. The software did the search. Nobody finished the conversation.

Omentir starts after that failure mode. A lead finder or Steal Customers agent produces people you can message on LinkedIn this week. The campaign sends from your profile. The reply lands in the same workspace. You are not buying another index. You are buying the loop that turns a match into a thread.

What decays in Apollo that Omentir refreshes

Title, email, and company size rot. Apollo's bet is that a maintained database plus enrichment stays useful enough for email and phone teams. Omentir's bet is that a living LinkedIn search, or a comment on a competitor post from this month, beats last quarter's export for founder-led motions.

If your last ten meetings came from dials to Apollo mobiles, the decay argument is weaker and Apollo stays. If your last ten meetings came from LinkedIn DMs and the Apollo seats are a graveyard of unused credits, stop buying rows.

Credits versus conversations

Apollo pricing conversations usually become a fight about credits and seats. Omentir pricing is a fight about whether LinkedIn outbound is worth a workspace. Those are different budget meetings. If finance asks which tool replaces the other, answer with the last ten meetings, not with row counts.

Frequently Asked Questions

No. Omentir finds people on LinkedIn through lead finders and Steal Customers. If you need a commercial graph of emails and phones as the system of record, Apollo or a peer is still that product.

Not as the first experiment. Let an Omentir finder or Steal Customers agent build a live LinkedIn segment. An imported export brings Apollo's decay with it and hides whether Omentir's discovery works.

Yes if roles are split: Apollo for the contact graph and email sequences, Omentir for LinkedIn. Shared ownership of the same person in the same week is how you look uncoordinated.

Run one ICP with no Apollo export

If a fresh LinkedIn finder books conversations, you may not need another database seat this quarter.