LinkedCRM AI vs Autotouch AI Detailed comparison features, price

LinkedCRM AI

LinkedCRM AI is a powerful tool designed to enhance sales productivity on LinkedIn. It acts as a comprehensive copilot, leveraging artificial intelligence to streamline prospecting and outreach.

The core functionality resides within a Chrome extension, facilitating seamless integration with CRMs like Salesforce, Notion, HubSpot, and Google Sheets. LinkedCRM AI aggregates email finders, achieving a 98% accuracy rate. It also summarizes LinkedIn profiles, assists in AI strategy, and generates emails using GPT-4o.

Autotouch AI

Autotouch AI streamlines the sales prospecting process by automating the time-consuming task of researching potential clients. It gathers relevant information about prospects, including custom details specified by the user, to provide a comprehensive understanding before outreach.

Based on this research, the tool generates initial drafts for personalized emails, LinkedIn messages, and connection requests. This allows sales representatives to quickly edit or directly use the suggested outreach, significantly reducing preparation time. Additionally, Autotouch AI features proprietary algorithms to identify lookalike companies and leads based on researched prospects, further expanding potential outreach targets.

Pricing

LinkedCRM AI Pricing

Freemium

From $7

LinkedCRM AI offers Freemium pricing with plans starting from $7 per month .

Autotouch AI Pricing

Freemium

From $25

Autotouch AI offers Freemium pricing with plans starting from $25 per month .

Features

LinkedCRM AI

LinkedIn Email Finder: Integrates multiple enrichment tools to achieve a 98% email accuracy rate.
One-Click CRM Sync: Adds LinkedIn data to your CRM (Salesforce, Notion, HubSpot, Google Sheets) with a single click.
AI-Powered Prospecting: Leverages GPT-4o to summarize user information and generate ice-breaking scripts.
AI Email Generation: Summarizes important emails and automatically composes replies based on context.
Seamless Data Connectivity: Add contacts to your CRM and find professional email addresses with just one click, natively within LinkedIn.

Autotouch AI

Automated Prospect Research: Gathers relevant information about potential clients.
Automated Outreach Drafting: Creates first drafts of emails, LinkedIn messages, and connection requests.
Custom Research Capabilities: Allows users to specify particular details to find about prospects.
Lookalike Company & Lead Identification: Finds similar companies and leads using proprietary algorithms.
Chrome Extension Access: Integrates with the browser for ease of use during prospecting workflows.

Use Cases

LinkedCRM AI Use Cases

Streamlining LinkedIn prospecting
Finding verified email addresses of potential clients
Syncing LinkedIn contact data with CRMs
Generating personalized outreach emails
Automating follow-ups with LinkedIn connections
Managing Linkedin connections

Autotouch AI Use Cases

Accelerating sales pipeline generation.
Automating B2B prospect research.
Streamlining LinkedIn outreach creation.
Personalizing sales emails at scale.
Finding new leads similar to existing prospects.
Reducing time spent on manual prospecting tasks.

FAQs

LinkedCRM AI FAQs

What exactly is LinkedCRM?

LinkedCRM is a LinkedIn Copilot and does not clearly explain what exactly is.
Is LinkedCRM free to use?

LinkedCRM offers a free plan with limited credits, as well as paid plans with more features and credits.
How do I get started with LinkedCRM?

LinkedCRM does not clearly explain it.
Is my data secure on LinkedCRM?

LinkedCRM does not clearly explain it.
What are the main problems your product solves?

LinkedCRM does not clearly explain it.

Autotouch AI FAQs

How does Autotouch AI compare with AI SDRs?

Autotouch AI leverages agent capabilities, but its goal is not to replace sales reps with AI. It focuses on augmenting human expertise at the intersection of AI and sales.
What is the cancellation policy?

You can cancel your plan at any time.
Can Autotouch AI find email addresses and phone numbers?

Not yet, but this feature is under consideration for future development based on user feedback.