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What is Mentioned?

Streamline your influencer outreach and link-building strategies with ease. We assess your content to identify the individuals and organizations you have mentioned, and then we initiate email campaigns to inform them. This automated outreach method leads to impressive results. If you haven’t started connecting with those you reference in your content, now is the perfect moment to act! Mentioned takes away the hassle of collecting contact information and crafting emails for each person you've acknowledged. Referencing individuals and their companies in your articles is a powerful tactic for building new relationships. Increasing brand visibility is essential for your business's growth. The more people who are aware of your brand, the greater the chances of generating referrals. When you highlight someone in your post, they are more likely to share it with their followers. Additionally, if your content is valuable, they may choose to incorporate it into their own conversations. This practice not only deepens relationships but also amplifies your content's reach and effectiveness, ultimately driving more engagement and potential business opportunities. By leveraging these connections, you can create a thriving network that benefits all parties involved.

What is Atomic Intelligence?

Atomic Intelligence provides a digital platform designed for the automated analysis of written content. We sift through extensive datasets, which encompass news stories, social media updates, and regulatory documents, identifying expressed viewpoints along with mentions of companies, products, and various subjects. Our offerings are crucial for investment firms that utilize this information to refine their proprietary trading strategies, consumer goods companies looking to assess customer sentiment, and technology organizations aiming to outsource text analysis tasks. Atomic Intelligence diligently examines texts to reveal references to companies, products, sentiment, and a multitude of other factors. By employing cutting-edge natural language processing and machine learning techniques, we detect important mentions, whether they are overtly articulated or subtly suggested within the material. Furthermore, Atomic Intelligence can efficiently manage any type of unstructured data. Users have the option to upload files via our web interface or API, or they can configure Atomic for automated scheduled data retrieval from their chosen sources, thus simplifying the analysis workflow. This functionality not only enhances efficiency but also equips organizations with the tools needed to extract meaningful insights and make well-informed decisions grounded in thorough textual analysis. Ultimately, our goal is to transform the way organizations interact with text data, facilitating a deeper understanding of market sentiments and trends.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

$49 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Mentioned

Company Website

mentioned.ai/

Company Facts

Organization Name

Atomic Intelligence

Date Founded

2003

Company Location

United States

Company Website

www.atomicintelligence.com

Categories and Features

Influencer Marketing

CRM
Campaign Management
Faceted Search / Filtering
Influencer Discovery
Payment Tracking
ROI Tracking
Social Media Monitoring

Categories and Features

Text Mining

Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering

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