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Get recommended in the answers your own category runs on
Your buyers ask ChatGPT, Perplexity, and Gemini which AI tool to use before they touch a pricing page. Subsig tracks whether you're the one that gets named in your own category, monitors how accurately AI describes your capabilities, and fixes the sources shaping that answer before a competitor takes your spot.
Trusted by teams building their reputation in the AI era
In AI, being good isn't enough. You have to be the answer.
Every new AI tool launches into a category already crowded with lookalikes. The ones that win aren't always the most capable, they're the ones AI already trusts enough to recommend.
Get named first
Show up when someone asks ChatGPT for the best AI agent, copilot, or model for their use case, not lost in a list of five similar tools.
Correct the Record Fast
Catch AI describing your product with outdated features, wrong pricing, or a capability you don't have, before it costs you a signup.
Move Faster Than the Category
AI tool rankings shift weekly as new entrants launch. See what's changing and adjust before you fall behind.
Everything AI says about your product, in one place
Product Hunt comments, GitHub discussions, Reddit threads comparing AI tools, and AI-generated answers are all shaping how your product gets described. Subsig brings it together so you know exactly what story is being told.
AI Visibility tracking
See how ChatGPT, Perplexity, and Gemini rank, cite, and describe your product against competing AI tools.
Review Monitoring
Track sentiment across G2, Product Hunt, and developer review sites in real time.
Brand Mentions
Catch every mention across X, Reddit, and Hacker News, where AI-native audiences actually compare tools.
Social Keyboard Intelligence
Know what's being said in the developer forums and subreddits AI pulls its comparisons from.
See the exact prompts deciding who gets chosen
We find the real questions people ask AI when comparing tools in your category, like 'best AI agent for coding' or 'ChatGPT alternative for X,' and track whether you're the one that gets named.
Know exactly which post is shaping how AI describes you
Subsig traces every AI answer about your product back to the review, comparison post, or discussion it's citing, so you know exactly what to correct or reinforce.
“From an ROI perspective, improved AI and search visibility resulted in about a 3× return, supported by materially higher inbound demand.”
Leopold Neuerburg, Managing Director @BuildingRadar
3x
more signups from AI-driven discovery
#1
tool recommended for their core category
1 qtr
to reach the top of AI rankings.
Subsig vs. Traditional Product Analytics and Review Tools
capability
subsig
others
Tracks how AI recommends your product
yes
no
Monitors developer and user reviews together
yes
partial
Traces AI answers to their source
yes
no
Tools that plan and execute the fixes
yes
no
Why AI-Native Companies Choose Subsig Over Product Analytics Tools
Most analytics tools tell you how many people visited your site. Subsig tells you whether AI is actually recommending you before they ever get there.
Capability
Other Platforms
Subsig
What is measured
Search rank position
Named in the AI answer
Query format
Head keywords
Real prompts people ask AI
Engine coverage
Search results
Every major AI answer engine
Source visibility
Backlink counts
Reviews and posts AI cites
Gap analysis
Ranking gaps
Recommendations you're missing
Frequently Asked Questions
Everything you need to know before getting started.
Can Subsig track visibility across specific use cases, not just my product name?
Is this just SEO with an AI label on it?
How does Subsig know which sources AI is actually pulling from?
Why does it matter if AI describes my product wrong? Isn't that just a hallucination?
Who should use Subsig?
