MentionX VS ShellNewHandler

MentionX's answer

Customer names are not publicly disclosed at this stage.

MentionX's answer

MentionX distinguishes a passing brand mention from a real recommendation. It shows whether AI includes your brand in an answer, recommends it as a suitable choice, or gives competitors the stronger position.

It connects those findings with buyer intent coverage, sentiment, citation sources, and stored AI answers, so teams can understand the evidence behind their scores.

The insights lead into practical work: prioritized actions, article briefs and drafts through the GEO Content Agent, conversational analysis with Mentionie, and PowerPoint reports through Boardroom.

MentionX's answer

Choose MentionX if you want to understand whether AI actually recommends your brand, what influences those answers, and where to focus your next steps.

MentionX brings recommendation tracking, competitor comparisons, buyer intent coverage, sentiment, and citation intelligence into one platform. Stored AI answers let you inspect the evidence behind the findings.

Teams can then turn those insights into prioritized actions, article briefs and drafts, and stakeholder reports. This connected workflow helps marketers and agencies move from measuring visibility to planning improvements and explaining results.

MentionX's answer

MentionX primarily serves marketing and growth teams, SEO and GEO specialists, and agencies that want to understand how AI assistants influence brand discovery and buyer consideration.

It is particularly relevant to SaaS and B2B companies tracking recommendations, comparing competitors, and planning content improvements. Founders and brand managers use it to assess their own visibility, while agencies manage monitoring and reporting for multiple clients.

MentionX's answer

MentionX began with a problem its founder, Dipuck Jones, experienced himself. After more than 13 years in growth, performance marketing, search, and analytics, he wanted to understand how AI saw a brand, which competitors were winning, and what marketing should do next.

Two frustrations shaped the idea: enterprise pricing put many AI visibility tools beyond smaller teams, while dashboards still left marketers to connect the findings themselves.

Dipuck started with a prototype that examined a company’s market, asked questions a real buyer might ask, and made the AI answers measurable. It grew into MentionX as he added competitor comparisons, engine analysis, source intelligence, and practical actions.

Built in Berlin, MentionX aims to make AI discovery intelligence useful and affordable for startups, growing businesses, and marketing teams. Its broader ambition is to help marketers understand how buyers discover their companies and where the next opportunity exists.

MentionX's answer

MentionX combines AI model APIs, custom web crawling, and analytics to measure brand visibility. Stored AI responses provide evidence behind the metrics, while cloud infrastructure supports ongoing monitoring and reporting.