Track and measure your brand’s visibility across AI Chats like ChatGPT, Gemini, Perplexity, Mistral and Claude. See where your brand is mentioned, compare against competitors, and understand how to improve your visibility in AI Search results!
Interesting idea and topic overall. However, I wouldn't position this product (at least in its current stage) as helping brands improve their placement in AI search results. The primary value proposition right now seems to be providing insights into how well or poorly a brand is performing in AI-driven research.
High-Level Feedback:
Currently, companies don't typically have dedicated roles focused solely on improving AI search results, which might limit scalability in 2025. Agencies and startup founders may be interested, but this isn't the most robust market segment to target broadly (though exceptions exist).
Low-Level Feedback:
Including a time estimate or a progress bar during the initial "Analysis in Progress" would greatly enhance user experience.
At first glance, labels such as "Recommendation," "Superline AI," and "AI Marketing Templates" come across as somewhat gimmicky and could undermine perceived credibility.
I think this tool could be really useful if it automates the work it takes to place better in AI search to a degree (I know that's quite challenging).
Or if it could become more similar to Semrush as a research tool, that might be viable too.
@tommysquad Thanks for the feedback! You’re absolutely on right track with many points. At this stage, The Generative Engine Tracker tool is the core feature and is focused on providing insights into AI-driven search visibility. Our plan is to make the data / analysis features stronger, becoming a research tool,
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Congratulations on the launch of Superlines! Your solution addresses a crucial need for brands navigating the evolving landscape of AI search visibility.
How do you ensure the accuracy of brand mention tracking across different AI chat platforms, and what specific metrics do you provide to measure visibility effectively?
Depending on how many queries you want to track we measure the brand share of voice in those conversations and also showcase which pages get cited by you or your competitors in the conversations! This will give you the knowledge of what is currently being preferred in the answers and help you create content to start taking market share from your competitors if they are getting cited instead of you. Hope this late reply helps you and thanks again for voting for us :)
Replies
Sociable AI
Interesting idea and topic overall. However, I wouldn't position this product (at least in its current stage) as helping brands improve their placement in AI search results. The primary value proposition right now seems to be providing insights into how well or poorly a brand is performing in AI-driven research.
High-Level Feedback:
Currently, companies don't typically have dedicated roles focused solely on improving AI search results, which might limit scalability in 2025. Agencies and startup founders may be interested, but this isn't the most robust market segment to target broadly (though exceptions exist).
Low-Level Feedback:
Including a time estimate or a progress bar during the initial "Analysis in Progress" would greatly enhance user experience.
At first glance, labels such as "Recommendation," "Superline AI," and "AI Marketing Templates" come across as somewhat gimmicky and could undermine perceived credibility.
I think this tool could be really useful if it automates the work it takes to place better in AI search to a degree (I know that's quite challenging).
Or if it could become more similar to Semrush as a research tool, that might be viable too.
Superlines AI Search Analytics Platform
@tommysquad Thanks for the feedback! You’re absolutely on right track with many points. At this stage, The Generative Engine Tracker tool is the core feature and is focused on providing insights into AI-driven search visibility. Our plan is to make the data / analysis features stronger, becoming a research tool,
Congratulations on the launch of Superlines! Your solution addresses a crucial need for brands navigating the evolving landscape of AI search visibility.
How do you ensure the accuracy of brand mention tracking across different AI chat platforms, and what specific metrics do you provide to measure visibility effectively?
Superlines AI Search Analytics Platform
Hi @ica_lestari and thank you!
Depending on how many queries you want to track we measure the brand share of voice in those conversations and also showcase which pages get cited by you or your competitors in the conversations! This will give you the knowledge of what is currently being preferred in the answers and help you create content to start taking market share from your competitors if they are getting cited instead of you. Hope this late reply helps you and thanks again for voting for us :)