FirstAnswer AI is an artificial intelligence-based SEO software that measures and improves your presence in AI-generated responses. It turns data into clear actions to guide your marketing choices.
In a landscape where AI responses take the place of links directly, your brand signals are spreading and traditional rankings are no longer enough. FirstAnswer analyzes how your brand appears in the results generated by assistants and platforms like ChatGPT, Copilot, or Google AI Overviews. This ecosystem requires specific intelligence and actions based on AI data rather than click metrics. Approaches based solely on rankings become inadequate when AIs respond directly. Our aim is to make visible the authority signals that users perceive without friction.
Among the key features, FirstAnswer offers: AI visibility monitoring to track mentions of your brand on ChatGPT, Copilot and others, GEO generative optimization that makes your content appear in direct responses, AIO response intelligence optimization that makes your content more clear and reliable for models, multi-model monitoring—ChatGPT, Gemini, Google AI Overviews, Copilot, and Grok—to measure impact by platform, and a prioritized action plan that converts analyses into concrete adjustments. These results reflect better prioritization of content and smoother collaboration between SEO and product teams.
FirstAnswer is not a traditional SERP-focused SEO tool. It's not just a traffic analysis tool or a CMS. It focuses on what AIs say about your brand and how to influence those responses. It does not impose a guarantee of immediate results, but offers a measurable trajectory and clear indicators to gain credibility in AI conversations. This way, you avoid misunderstandings about what the software can do and gain clarity.
FirstAnswer offers a coordinated view of your presence in AI responses and a framework for acting on each model, without relying solely on clicks. By combining GEO, AIO, and AEO, it helps teams maintain lasting authority in conversations where decisions are being made. Using this tool means having a mirror of AI perceptions and a clear path to progress. The objective is to support measurable progress, without unrealistic promises, so that each step strengthens the reputation of your brand.
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.
