DNNae LinkedIn Automation for Recruiters Review

Posted by Jonathan Kidder on December 8, 2020January 29, 2023

DNNAe is a fairly new automation extension tool. It uses state of the art Machine learning and AI to understand all the job requirements. It then helps you search on LinkedIn to build an active list of prospects and finally it helps you send those leads an email or inmail message. What really makes this tool shine is that it uses AI and semantic search to help find and rank the best available talent online. It also automates the recruiter outreaches and follow ups. Overall, it’s a huge time saver. On average, recruiters save 15 hours of manual LinkedIn sourcing work week using this tool.

Here’s what the DNNae Automation Tool offers:

It uses state of the art Machine learning and AI to understand all the skill requirements.
Then the tool helps you search and rank candidate profiles on LinkedIn.
All candidates are scored based on experience, skills, education, & industry experience etc.
The candidates are sorted and rated based on job requirements.
You can then select the prospect that you want to message.
It will then automatically message up to 500 candidates/day WITHOUT using any inmail credits.
All template messages are highly customizable and personalized.

How to start a new Candidate Search:

Click on the extension within chrome.
Select the candidate search.
Copy and paste a job description or fill in the basic search requirements.
The AI tool will then parse through the description and pull out information.
You will be asked to rank each experience as (Nice to Have – Important – Must Have) Skill.
It will then request up to 1-3 LinkedIn profiles that match the requirements well.
When you click finish you will be ready to start sourcing as off this information.

How to add new Prospects to your Search:

Once you’ve created a new search (above) go to LinkedIn.com
Click on the extension.
Click on add prospects for your job.
Once the LinkedIn search is created click the extension and click play.
The tool will parse and scrape each profile page.
They recommend collecting a total of 50.
Within the settings bar you can select (LinkedIn on) which will allow you to use this tool in LinkedIn Recruiter.

Viewing Best Fit & Semantic Scores:

Once you have added prospects click on the extension and click score/connect.
View all the prospects. Each prospect is ranked based on the semantic score.
Semantic scores are based on the job description ranking requirements.
Click on the semantic score to see the full detail of percentages.
“Best fit” score compares each ideal profiles match.

Pricing Includes:

1. Basic Plan: (Free)

10 messages per day
Score Prospects: 1000 per month

2. Premium Plan: $389 month / Billed Annually ($4668 for 1 year)

Score Prospects: Unlimited
Export CSV: Unlimited
Messaging: Unlimited
Automated Meeting Setup
Demographic AI: Gender, Age, Ethnicity
Best Fit Profile AI / AI Skill Match
AI Built-in ATS with activity tracking

Note: This tool is probably not GDPR approved. User discretion is advised.

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Jonathan Kidder

With more than 12 years of recruitment experience, Jonathan has helped startups and small businesses find the talent they need. He runs the blog WizardSourcer, which explores the latest trends in talent sourcing, provides reviews of recruitment tools, and features interviews with prominent figures in the industry.