Leadspace Sidekick Chrome Extension

The contact data you need. The AI that turns it into pipeline.

Enterprise B2B intelligence on LinkedIn. Free to start.

Leadspace Sidekick Chrome Extension

2.5-10

2.5-10

x

x

Less expensive than
ZoomInfo & Apollo

10-15

10-15

x

x

Faster time-per-lead vs.

manual research

AI

AI

Fit scoring, outreach drafting & buying group intelligence built in

100

100

+

+

Technology categories in the data graph

What Sidekick Does

Three things no other tool does at this price.

Explore each one. Every capability is powered by 800M+ buyer identities — the same data graph used by Microsoft, Nvidia, and Salesforce.

The Foundation — Verified contact data, revealed instantly

Emails, direct dials, firmographics, tech stack. One click.

● Verified emails & direct phone numbers

Revealed on any LinkedIn profile

● Company firmographics & org hierarchy

Size, revenue, industry, parent and subsidiaries

● Technology stack 

— 100+ categories, continuously updated

— not batch-refreshed monthly

● ICP fit score in plain language 

Know instantly if they're worth your time, and exactly why

● One-click CRM push

Salesforce, HubSpot, Microsoft Dynamics. Always free.

● ICP fit score in plain language 

Know instantly if they're worth your time, and exactly why

● One-click CRM push

Salesforce, HubSpot, Microsoft Dynamics. Always free.

The Difference — AI that works the whole sales workflow

Fit scoring, outreach drafting, buying committee mapping, job change detection.

● Fit Scoring

Instant score against your Target Audience with a plain-language explanation.

● Outreach Drafting

Cold emails, LinkedIn messages, call scripts — personalised to the contact's profile.

● Buying Committee

Map Economic Buyer, Champion, Technical Evaluator, Procurement, Exec Sponsor. Gaps flagged.

● Account Research

Company briefing, recent signals, contact summary — all on demand, in context.

● Job Change Detection

Contact changed roles? Sidekick surfaces their new details and a suggested outreach angle.

● Ask Anything

Free-form AI conversation grounded in Leadspace data. No forms. No filters.

● Account Research

Company briefing, recent signals, contact summary — all on demand, in context.

● Job Change Detection

Contact changed roles? Sidekick surfaces their new details and a suggested outreach angle.

● Ask Anything

Free-form AI conversation grounded in Leadspace data. No forms. No filters.

The Multiplier — Find more people just like your best ones

LookaLikes turns one perfect contact into a full pipeline.

● Point to any contact who fits your Target Audience perfectly

● Sidekick searches 800M+ identities for people with the same role profile, company type, and fit signals

● Scored by role, function, seniority & company fit

● Verified contact data ready to reveal — add to list or push to CRM in one click

● Scored by role, function, seniority & company fit

● Verified contact data ready to reveal — add to list or push to CRM in one click

Learn More About Sidekick
Learn which job change sales signal predicts a real buying window, and how to work both accounts before competitors do.

Sidekick

Article

Which Job Change Signals Predict a Buying Window?

Your best-fit account went quiet six months ago. Then the VP of Revenue Operations you never reached moves to a new company. That single move is a job change sales signal, and it opens two doors at once. One at the old account, where a seat just emptied. One at the new account, where someone with budget wants to prove themselves fast.


Most reps see the notification and scroll past it. The ones who hit quota treat it as a timer starting.


The problem is that not every job change matters. A lateral move between two mid-level analyst roles rarely changes anything. A new CRO with a mandate to rebuild the tech stack changes everything. Knowing the difference is what separates a busy pipeline from a real one.

Per-credit models punish volume. Per-seat models punish turnover. Compare both on cost per usable contact, and see when a free tier beats either one.

Sidekick

Article

Email Finder Pricing Compared: Per-Credit vs Per-Seat

You open a prospect profile, click for the email, and watch a counter tick down. That single click has a price attached to it. Whether you feel that price depends entirely on how your vendor decided to bill you.

Email finder pricing splits into two camps. Per-credit models charge you for every reveal. Per-seat models charge you a flat fee per user and cap what you get inside that seat. Both sound reasonable on a pricing page. Both behave differently once you are running 80 touches a day and trying to build real pipeline.

This breakdown covers how each model works, where each one quietly costs you more than expected, and how to pick the one that fits how you prospect.

Vendor accuracy claims describe a database, not your territories. Use this repeatable six-step contact data accuracy test to sample, score, and benchmark.

Sidekick

Article

How Do You Test Contact Data Accuracy? A Methodology

You bought the data. You paid for the seats. Your reps still complain that the phone numbers go nowhere.


Vendor accuracy claims are marketing statements. They describe a database in aggregate, not the slice of records your team touches every day. The only number that matters is how your data performs against your territories, your personas, and your buying groups.


That means you need a repeatable contact data accuracy test. Not a one-time audit. A method you run every quarter, against every provider, with the same rules each time.


This post gives you that method. It covers sampling, scoring, benchmarking, and what to do with the results once you have them.

Lost your data seat? Qualify accounts on fit, map the buying group, and get verified direct dials for free — the zero-dollar outbound playbook, step by step.

Sidekick

Article

How to Run Outbound on a Zero Dollar Data Budget

Your manager cut the tool budget. Your ZoomInfo seat lapsed. The list you built in March has gone stale, and half the direct dials bounce to voicemail for people who left the company.


You still have a number to hit.


Outbound prospecting on a budget sounds like a punishment. It usually starts that way. Then reps figure out that most of what they paid for was volume they never worked. The contacts nobody called. The accounts nobody qualified. The exports that sat in a CSV until the data rotted.


Running outbound with zero dollars for data forces a better habit. You stop buying lists and start reading accounts. Here is how to do it without giving up the contact quality you need to book meetings.

How We Compare

More intelligence. At a fraction of the cost.

See how Sidekick stacks up against ZoomInfo, Apollo, and Lusha across every capability that matters.

Full

Partial

None

Sidekick

ZoomInfo

Apollo

Lusha

PRICING

$0

Freemium — no CC

Paid from $49 / user per mo

No free tier

From ~$15K / year

Limited free tier

Paid from $49 / user per mo

No free tier

Paid from $49 / user per mo

CONTACT DATA

Verified emails

Direct / mobile phone

Firmographics & tech stack

Free tier

AI INTELLIGENCE

AI fit scoring

AI outreach drafting

Buying committee mapping

LookaLikes discovery

Job change detection

CRM & WORKFLOW

CRM & sales tool push

Salesforce, HubSpot, Outreach

Works on LinkedIn

DATA FOUNDATION

Identity graph size

800M+

270M+

Compiled DB

50M+

Continuously updated

Forrester recognized

Competitor data based on publicly available information as of 2026.

Pricing

Affordable outcomes. Not just affordable software.

Verified emails, direct dials, AI fit scoring, buying committee mapping, and AI outreach — all on LinkedIn. ZoomInfo, Apollo, and Lusha charge enterprise prices for what Sidekick delivers at 2.5–10× less.

FAQ

Common Questions

What browsers does Sidekick work on?

How do credits work?

What makes Sidekick different from Apollo or ZoomInfo?'

What is LookaLikes?

Does Sidekick integrate with my CRM?

How is the buying committee map built?