Purpose
MRKTlabs positions itself as a brand intelligence tool for the AI search era, with the core goal of helping brands monitor and improve their visibility on generative AI platforms. According to the material, more and more customers get product recommendations through AI platforms such as ChatGPT and Gemini rather than using traditional search engines; if a brand does not appear in these AI answers, it becomes "invisible" to this group of buyers. Traditional SEO tools can only track Google rankings and cannot determine whether ChatGPT recommends your competitor when a user asks for the "best project management tool," and MRKTlabs aims to fill this gap.
Main Capabilities
- AI Visibility Tracking: Each scan monitors how often each AI platform mentions the brand and provides a visibility score (such as the score for the most recent 30 days).
- Performance Analysis by Platform: Shows the mention rate for each platform and the brand's ranking position among the tracked entities (for example, "ranked 2nd out of 8 tracked entities").
- Competitor Benchmarking: Compares share of voice across platforms and shows where competitors rank above you.
- Citation and Source Tracking: Tracks the specific URLs cited by AI platforms when recommending the brand.
- Prompt-Level Analysis: Shows which prompts mentioned the brand and where the brand appears in each answer.
- AI Prompt Discovery: AI recommends high-impact prompts based on the brand and industry.
- AI-Driven Recommendations: Provides prioritized action recommendations based on scan data, indicating what needs to be fixed and where to optimize.
How to Use
The material describes a process that takes less than 5 minutes:
- Provide brand information, including brand details, competitors, and the important prompts in the category.
- The system scans 6 AI platforms on the user's behalf: ChatGPT, Gemini, Claude, Perplexity, Grok, and AI Overview. The material emphasizes that each scan analyzes real answers in real time, with no sampling and no estimation.
- View the results: visibility score, competitor rankings, cited sources, and mention data broken down by prompt.
- Get recommendations: receive expert advice on what to fix, where to publish content, and which platforms to target.
Use Cases
Suitable for brands that want to establish a "first-mover advantage" in AI search and Generative Engine Optimization (GEO). The material notes that AI platforms form preferences based on the content currently available, and brands that start optimizing AI visibility now will be harder to replace later. Typical use cases include: monitoring how the brand is recommended on major AI platforms, comparing share of voice with competitors, identifying AI citation sources to guide content publishing, and optimizing brand presentation around high-value prompts.
Limitations
The current material does not provide information such as pricing, billing model, supported interface languages, maximum data refresh frequency, maximum number of trackable brands or competitors, whether an API is provided, or specific registration and payment steps; the above content is not currently provided. The material also does not explain the specific technical implementation details and compliance statements for scanning each AI platform.visibility, brands will be harder to replace in the future. Typical use cases include: monitoring how the brand is recommended on major AI platforms, comparing share of voice with competitors, identifying AI citation sources to guide content publishing, and optimizing brand presentation around high-value prompts.
Limitations
The current material does not provide information such as pricing, billing model, supported interface languages, maximum data refresh frequency, maximum number of trackable brands or competitors, whether an API is provided, or specific registration and payment steps; the above content is not currently provided. The material also does not explain the specific technical implementation details and compliance statements for scanning each AI platform.
