Same scrape, then scored
Zevari pulls the likers and commenters off any post too - then runs each one through ICP scoring 1-5 with a written reason per person. You read the 1s and 2s out and work the 4s and 5s. The list arrives ranked, not raw.
Zevari vs Goji Berry
Goji Berry builds the list. Zevari scores it, writes it, and runs it.
Goji Berry scrapes the people who liked and commented on a viral post into a clean list. That is genuinely useful - and it is where Goji Berry stops. Zevari does that same scrape, then scores every name 1-5 against your ICP with a reason for each, drafts the outreach in your voice, and runs the campaign with sends staged for your approval by default. A list is not pipeline.
Updated
The one-line version
A list is not a pipeline
Goji Berry
Hands you a spreadsheet of post engagers. It built the haystack. Reading each profile, judging fit, writing something that does not sound like a bot, sending it without tripping LinkedIn's limits, then chasing replies - that is still entirely on you.
Zevari
Hands you a ranked, reasoned target list - and then does the outreach for you. It finds the needle, tells you why it is the needle, and reaches out, with sends under an approval gate by default.
Where Goji Berry is good
Let's be fair, because most "vs" pages aren't
Goji Berry does one job well: it scrapes the likers and commenters off a LinkedIn post and gives you a clean export. If a competitor or a thought leader drops a post your exact buyer engaged with, that engagement is a real intent signal, and Goji Berry captures it fast. As a Chrome extension it is cheap and quick, and for "I just want the list" it does the thing.
If all you need is the raw list and you will handle scoring and outreach yourself, Goji Berry is a reasonable tool. We are not going to pretend otherwise.
Where the list runs out
A scraper gives you the haystack, not the needle
You now have 300 names in a spreadsheet, and most LinkedIn posts pull a messy crowd: a few real buyers, a pile of peers, some job-seekers, a couple of competitors, and the people who like everything.
"finding that needle in a haystack... it's really hard to do."
That work - judging fit, writing the message, sending it safely, chasing the reply - is the part that eats the day. That is the part nobody wants to do.
The scoring gap
Zevari starts where Goji Berry ends
A scraper gives you the haystack. It does not find the needle. Zevari pulls the same engagers, then turns the raw list into a ranked, reasoned target list before you ever open a profile.
Signal-based, not just post-based
Beyond a single post, Zevari finds people who posted in the last 30 days about your topic - live intent, not a static export that is stale by the time you open it.
Lookalike from a known-good client
Hand it one customer or a single profile URL and it finds more like them, scored against your ICP. No filter-stacking, no manual reading of 300 profiles.
The execution gap
Then it writes, warms, runs, and watches the inbox
A scraper has no opinion on what you say next, no way to warm a prospect, and no memory of who replied. Zevari is the brain and the hands - reachable over MCP for Claude Code and Codex, or our REST API from your own code.
Voice DNA
Drafts trained on your sent messages, so the outreach sounds like you, not like AI. A scraper has no opinion on what you say next; Zevari writes the next message.
Warm-by-default
Comments, reactions, and profile views before the ask, so you are not a cold stranger sliding into a DM.
Campaigns and sequences
Multi-step LinkedIn campaigns - warm actions, connection note, follow-ups - built and advanced by your agent, not by you pasting into a DM box 300 times.
Inbox Radar
When replies come in, they are classified by intent and a draft response is staged for your approval. The list never told you a reply came in. Zevari does.
And because Zevari holds hosted state, the warm-up runs today, the connect tomorrow, the follow-up Friday - persistent scheduling a Chrome extension, and even Claude Code or Codex alone, cannot hold.
Where it lives
A hosted connector, not an extension
Goji Berry is a Chrome extension you click through one post at a time. Zevari runs from the Zevari app, or from Claude Code, Codex, ChatGPT, or any MCP client through the hosted Zevari LinkedIn MCP. Technical teams can also call the REST API.
Add to Claude Code, then run /mcp to sign in
claude mcp add --transport http zevari https://mcp.zevari.ai/mcpSafety
"I don't want to be banned." That is the quiet part.
Browser-extension scrapers operate in your logged-in session and lean on what LinkedIn can see in the browser. Zevari connects session-based with no browser cookies, and by default each write action is staged for your approval before it fires. The limits are published, not implied.
Read the full safety modelSession-based connection. No browser cookies, unlike a logged-in Chrome extension.
Every write action - message, connection request, comment, post - is staged for your approval before it fires.
Enforced ceilings: 150 connection requests a week on Free* and Premium, 200 on Sales Navigator, plus a daily cap on all actions.
* Free accounts: LinkedIn caps connection requests that carry a note at 5 a month. The weekly ceiling covers requests sent without a note, and Premium and Sales Navigator accounts get a far larger allowance for requests with a note. Most outreach uses a note, so Premium or Sales Navigator is the practical choice for real outbound - the full explanation is on /safety.
Working hours, behavioral pacing, duplicate checks, and burst caps. When a limit is reached, the action waits.
The honest table
Where the scrape stops and the engine starts
Goji Berry is a scraper; Zevari is the brain and the hands. Here is the straight version.
CapabilityGoji BerryZevari
Scrape post likers and commenters
Goji Berry
Yes
Zevari
Yes
ICP scoring 1-5 with a written reason
Goji Berry
No
Zevari
Yes
Posted-in-last-30-days intent signals
Goji Berry
No
Zevari
Yes, signal-based targeting
Writes the outreach in your voice
Goji Berry
No
Zevari
Yes, Voice DNA trained on your sent messages
Multi-step campaigns and sequences
Goji Berry
No
Zevari
Yes, built and advanced by your agent
Replies classified and drafted for you
Goji Berry
No
Zevari
Yes, Inbox Radar
Warm-up before the ask
Goji Berry
No
Zevari
Yes, warm-by-default
Runs on a schedule on hosted infra
Goji Berry
No, manual export
Zevari
Yes, persistent hosted state
Sends staged for human approval by default
Goji Berry
Not applicable, no sending
Zevari
Yes, approval gates on writes by default
Connection method
Goji Berry
Logged-in browser session and cookies
Zevari
Session-based, no browser cookies
Weekly send ceilings, pacing, burst caps
Goji Berry
Not applicable
Zevari
Yes, 150 a week on Free* and Premium, 200 on Sales Navigator
Runs inside Claude Code or Codex
Goji Berry
No
Zevari
Yes, hosted LinkedIn MCP plus REST API
Run it from an app or from your AI
Goji Berry
No
Zevari
Yes, the Zevari app or Claude Code, Codex, ChatGPT over MCP
Form factor
Goji Berry
Chrome extension
Zevari
Hosted connector for LinkedIn and email, no browser extension
Run both, then decide: you do not have to rip anything out on day one. Plenty of people keep Goji Berry as one input - grab a list off a hot post - and pipe those names into Zevari to be scored, written, and worked. Many teams start by augmenting, then realize Zevari's own scrape plus scoring plus outreach makes the separate extension a step they no longer open.
FAQ
Questions buyers ask when they're switching
What is the best Goji Berry alternative with lead scoring?
Zevari. Goji Berry scrapes LinkedIn post likers and commenters into a list and stops there. Zevari runs the same scrape, then scores every prospect 1-5 against your ICP with a written reason for each, drafts outreach in your voice, and runs the campaign with sends staged for your approval by default. You get a ranked, reasoned list that gets worked - not a raw spreadsheet.
Can Zevari find people who are posting about a topic and reach out to them?
Yes. Beyond scraping a single post's engagers, Zevari's signal-based targeting finds people who posted about your topic in the last 30 days - live intent, not a static list - scores them against your ICP, and can run the outreach for you with approval gates on sends by default.
How does Zevari score prospects against my ICP?
Each prospect gets a 1-5 score with a written reason (for example, 4/5 - VP of Sales at a 50-person B2B SaaS, posted about pipeline gaps last week). You read the low scores out and work the high scores. You can also correct it - tell it when someone is not your ICP and it learns.
Does Zevari actually send the outreach, or just build the list?
It runs the outreach - warm-up actions, connection notes, multi-step sequences, and reply handling - but by default each write action (message, connection, comment, post) is staged for your approval before it sends. You approve from chat or Slack. Nothing touches your account without your sign-off.
Will this get my LinkedIn account banned?
Goji Berry runs in your logged-in browser session as a Chrome extension. Zevari connects session-based with no browser cookies, stages writes for human approval by default, and enforces 150 connection requests a week on Free* and Premium accounts and 200 on Sales Navigator, a daily cap on all actions, working hours, behavioral pacing, duplicate checks, and burst caps. No tool can promise LinkedIn will never restrict an account; the full mechanics are on the safety page. The weekly figure covers connection requests sent without a note: LinkedIn caps requests that carry a note at 5 a month on a free account, and gives Premium and Sales Navigator a far larger allowance, so Premium or Sales Navigator is the practical choice for real outbound (see /safety).
Do I need to switch off Goji Berry to use Zevari?
No. Many teams keep Goji Berry as a list input and pipe those names into Zevari to be scored, written, and worked. Goji Berry builds the list; Zevari is the team that works it. Most people find Zevari's own scrape plus scoring plus outreach replaces the separate extension over time, but you can run both.
Do I need to be technical to use Zevari?
No. Technical teams connect over MCP from Claude Code, Codex, or ChatGPT, or call the REST API from their own code. Founders and agency owners run the same six specialists from the Zevari app and approve sends by default.
Stop building lists. Start working pipeline.
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
You are a GTM engineer who wants a scored target list, voice-matched drafts, campaigns advanced on a schedule, all with sends under an approval gate by default. Connect over MCP for Claude Code and Codex, or call our REST API from your own code.
Connect to Claude CodeLet the team run it
You are a founder or agency owner who wants fewer hours in the DMs? The same six specialists, Prospecting, Signals, ICP Scoring, Voice Writer, Follow-up, and Reply Qualifier, run your LinkedIn and email outbound from the Zevari app. Sends wait for your approval by default.
Build my AI teamZevari - a full outbound department for LinkedIn and email. Sends wait for your approval by default.