Signal-based targeting
Find people who posted in the last 30 days about what you sell, then reach only the ones who are actually in-market. Not a list you bought; a moment you caught.
Zevari vs Apollo
Apollo finds the contact. Zevari finds the moment - and acts on it.
Apollo is a contact database with a sequencer bolted on: a 200M-record list, filters, and an email/dial cadence. It's good at "who exists." It was never built for LinkedIn, and it has no idea who's worth reaching this week.
Zevari is the LinkedIn execution layer for Claude. Your agent finds people showing intent right now, scores them against your ICP with reasons, writes in your voice, and stages every LinkedIn send for your approval. Run LinkedIn outbound as code - and if you don't run Claude Code or Codex, we run it for you.
The frame
A list is not a pipeline
Apollo's product is a database. You filter by title, headcount, and tech stack, export a list, and push it into a sequence. Everyone with Apollo can build the exact same list off the exact same filters - which is why the inboxes are full and the reply rates aren't.
The hard part of outbound was never "who matches this title." It's finding the needle in the haystack: the one person who just posted about the problem you solve, changed jobs last week, or is hiring for the role your product replaces. That's a signal, and a static database can't see it.
ICP scoring 1 to 5, with the reasons
Every prospect comes back scored against your ICP with the why attached, so you skip the 2-out-of-5s and your agent learns when you correct it.
Lookalike from a known-good client
Hand it one customer or a single profile URL and it finds more like them. No filter-stacking required.
Apollo tells you a person exists. Zevari tells you they're ready - and then does something about it.
The execution gap
Apollo sends email at people. Zevari runs LinkedIn the way a human would.
Apollo's whole motion is volume email and dials. Bolt-on LinkedIn steps exist, but they run on browser extensions and cookie-based automation - the exact pattern that gets accounts restricted. And the messages are mail-merge tokens in a template, not anything that sounds like you. Zevari is LinkedIn-native and warm-by-default.
Voice DNA
Drafts trained on your sent messages, so outreach sounds like you, not a first-name template. The AI version of you, in your words.
Warm-by-default
Comments, reactions, and profile views before the ask, so you show up in someone's world before you show up in their requests.
Campaigns and multi-step sequences
Built and advanced by your agent on schedule, with email as the follow-up leg to LinkedIn non-responders, not the whole game.
Inbox Radar
Replies classified by intent, on-brand responses staged for your approval, so you stop scrolling to find the one reply that matters.
This isn't a feature Apollo is missing. It's a different job. Apollo manages a database of contacts. Zevari operates your LinkedIn presence - and stages every write so you stay in control.
Where it lives
Inside Claude, not another tab
Apollo is a web app you log into. Zevari is a hosted MCP server your agent connects to - 60+ tools for search, signals, campaigns, inbox, and content. Reach Zevari over MCP for Claude Code and Codex, or our REST API from your own code.
Connect in one line
claude mcp add zevari https://mcp.zevari.ai/mcpThat means your GTM brain and your execution layer are the same agent. Claude can already research a prospect deeply; with Zevari it can finally act on what it found - connect, message, comment, post - without you copy-pasting between a research tab and a sequencer. And because Zevari holds hosted state, your campaigns keep advancing and your follow-ups keep firing on schedule - the persistent scheduling Claude Code or Codex can't do on its own.
Safety
"I don't want to be banned." Apollo's LinkedIn steps don't help you there.
The number one fear in LinkedIn outbound is the ban. Cookie-based browser automation - the way Apollo and most "LinkedIn + email" tools touch LinkedIn - is exactly what triggers it. Zevari was built for this. A year of refinement. Zero ban incidents.
Read the full safety modelEvery write action - message, connection request, comment, post - is staged for your approval before it touches your account.
Session-based connection. No browser cookies.
Daily connection ceilings enforced by the platform: Free 40 / Premium 80 / Sales Navigator 150 per week.
Working hours, behavioral pacing, duplicate checks, and burst caps - so you can't overshoot by accident.
Honest comparison
We share a buyer, not a category
Here's the straight version - where Apollo wins and where it doesn't.
Apollo
Zevari
Core product
Apollo
Contact database (200M+ records) plus email/dial sequencer
Zevari
LinkedIn execution layer for Claude (hosted MCP)
Primary channel
Apollo
Email and dials
Zevari
LinkedIn-native, email as the follow-up leg
Targeting
Apollo
Static filters (title, headcount, tech) - the same list everyone builds
Zevari
Signal-based: posted-in-30-days, intent, lookalike from a client
Qualification
Apollo
Filter match
Zevari
ICP scoring 1-5 with reasons; learns when you correct it
Message copy
Apollo
Mail-merge tokens in a template
Zevari
Voice DNA - trained on your sent messages
Warm-up
Apollo
None
Zevari
Warm-by-default: comments, reactions, views before the ask
LinkedIn safety
Apollo
Cookie/extension-based - documented restriction risk
Zevari
Session-based, no cookies, enforced ceilings, staged writes; zero ban incidents
Where it runs
Apollo
A web app you log into
Zevari
Inside Claude Code or Codex (or any MCP client)
Human-in-the-loop
Apollo
Autopilot sends
Zevari
Every write staged for your approval
Persistent scheduling
Apollo
In-app cadences
Zevari
Hosted state - campaigns advance and follow-ups fire on schedule
Best at
Apollo
Volume email to a broad, title-based list
Zevari
High-intent LinkedIn outbound that sounds like you, ban-safe
Where Apollo genuinely wins: if your motion is high-volume cold email to a huge title-filtered list and you want one place to hold contact data and run dials, Apollo's database depth is real. Many teams keep Apollo as a data source and run their LinkedIn through Zevari. We don't need you to rip Apollo out to win - we need the channel it was never built for.
FAQ
Questions buyers ask when they're switching
Is Zevari an Apollo alternative for LinkedIn?
For the LinkedIn side, yes. Apollo is built around an email-and-dial sequencer on top of a contact database; its LinkedIn steps are a cookie-based bolt-on with real ban risk. Zevari is LinkedIn-native - signal-based targeting, ICP scoring, Voice DNA, warm-by-default actions, and every write staged for your approval, all inside Claude Code or Codex. Plenty of teams keep Apollo for email data and run their LinkedIn through Zevari.
Can I replace Apollo, Reply, Buffer, and Front with one tool?
For the GTM-execution layer, that's the idea. Zevari is the single place your agent researches, writes in your voice, runs LinkedIn campaigns, and triages replies - the work you'd otherwise split across a sequencer, a scheduler, and a shared inbox. Apollo's database depth is its own thing; many teams keep it purely as a data source.
Does Zevari have a contact database like Apollo's?
No, and on purpose. Apollo sells you access to 200M static records that everyone else also filters. Zevari finds people by live signal - who posted about your topic in the last 30 days, who looks like your best client, who's showing intent now - and enriches to a verified work email when you need to follow up. We find the moment, not just the contact.
Will Apollo's LinkedIn automation get my account banned?
Cookie-based browser automation - how Apollo and most email-first tools touch LinkedIn - is the pattern that gets accounts restricted. Zevari connects via session, not cookies, enforces weekly ceilings (Free 40 / Premium 80 / Sales Navigator 150), paces behavior to working hours, and stages every write for your approval. A year of refinement, zero ban incidents.
Does it actually send, or just draft?
You decide. By default every send - LinkedIn or email - is drafted and staged for your approval. You approve, then it sends. Nothing touches your account without your sign-off.
Do I need to be technical to switch from Apollo?
If you run Claude Code or Codex, you connect in 60 seconds and run it yourself. Reach Zevari over MCP for Claude Code and Codex, or our REST API from your own code. If you'd rather not touch the terminal - and you're already paying an appointment setter or AI SDR - our managed Engine tier runs the whole motion and you approve every send from Slack in minutes a day.
Switch the channel Apollo was never built for
Same approval-gated engine on both lanes. Reach Zevari over MCP for Claude Code and Codex, or our REST API from your own code.
You run Claude Code or Codex
Give your agent hands on LinkedIn in 60 seconds - signal-based, ban-safe, in your voice. Connect over MCP for Claude Code and Codex, or call our REST API from your own code.
Connect to Claude CodeWe run it for you
You'd rather not touch the terminal - and you're already paying for an appointment setter or AI SDR? We run the engine and you approve every send from Slack in minutes a day.
We run it for youZevari - the LinkedIn execution layer for Claude. Your agent sleeps; your pipeline doesn't.