MentionLab is an SEO software powered by AI. It helps teams understand and improve their visibility in the results and responses generated.
Today, SEO is guided by evolutionary algorithms and AI systems that define results. Teams struggle to track relevant mentions, prioritize opportunities, and measure the impact of actions. MentionLab centralizes analysis, automates monitoring and transforms data into actionable recommendations. This approach guarantees better traceability of actions and reduces duplication in SEO efforts. It also makes it possible to quickly demonstrate the impact of optimizations to management.
Fundamental, MentionLab integrates 4 key functionalities. Query analysis to identify areas with high potential and guide optimizations. Source mapping in order to target the influences that fuel AI results. Sentiment tracking that measures the opinion around your brand and informs reputation actions. Visibility and traceability a transparent crawler that explains how content is found and interpreted. At the same time, the platform offers clear data visualization, relevant alerts, and adaptable reports for teams and agencies.
To avoid confusion, MentionLab is not an automated writing platform, or an advertising solution, or an uncontrolled scraping tool. It does not replace human expertise but supports strategic decisions and alignment with your goals. This software doesn't promise results without action; it turns information into recommendations that your teams can validate. It's not just a data connector either: it integrates to support clear governance of SEO initiatives.
By bringing together data, insights and actions around AI, MentionLab offers a measurable approach to modern SEO. It helps brands and marketing teams gain clarity about opportunities, reduce uncertainty, and align their efforts with concrete results, without forced software commitments. Neutral testing can be useful to quickly assess the impact on your workflows. This approach makes it possible to communicate results more transparently and prepares for the evolution of internal practices towards useful and ethical AI. In practice, this means concise reports, relevant alerts, and gradual integration with teams, so everyone can act quickly without unnecessary complexity and with confidence.
Peec AI is SEO software powered by artificial intelligence that is transforming the way your team optimizes online visibility. Its promise: to make SEO optimization faster, more accurate and more readable.
Modern SEO is based on a multitude of data and indexes. Teams need to deal with scattered relationships, changing priorities, and rapidly evolving algorithms. Peec AI brings these elements together and offers a clear vision for action.
In practice, that means less time spent sorting through data and more resources spent creating high-impact content.
This approach reduces the risk of errors due to inconsistent data and promotes a more readable SEO roadmap.
Among the features, you will find an AI analysis of content opportunities, monitoring mentions and rankings on AI platforms, customizable prompts who guide your teams, a prioritized audit pages, and a collaborative dashboard to align deliverables and responsibilities.
This makes it easy to review and iterate between marketing, content, and product teams.
The results are accompanied by a framework for collaboration: assignments, decision histories and traceability.
Dashboards quickly resolve questions and facilitate daily strategic decisions for any team.
Dashboards quickly resolve questions and facilitate daily strategic decisions for any team.
Peec AI is not a simple scraping tool or a report generator without context. Nor is it a promise of effortless instant results. It is a strategic support solution that transforms data into clear action plans, with traceability and explanations of choices.
And it avoids misunderstandings: you know what is, what is a priority and why a recommendation is being proposed.
We also offer optimization scenarios adapted to your specific current sector.
In summary, Peec AI allows a marketing team to understand, prioritize and act on opportunities related to artificial intelligence in research. The interest lies in the clarity of indications, the reduction of deadlines and the alignment between strategy and operation.
An exploratory test can offer perspective without financial commitments or initial costs to assess potential suitability.
This approach makes it possible to assess the potential before any operational or budgetary commitment, without commercial pressure and containing risks.
This approach allows you to assess the adequacy with your goals before any possible future implementation in your organization.
