Most products show you
what AI says.
We show you why — and what to do about it.
AI visibility tools read outputs and show scores. Rankall.io correlates trust signals with AI recommendation behavior, predicts fix impact, and verifies that fixes actually worked. That is a fundamentally different approach.
Read the output.
Show a score.
Leave you guessing.
They query AI platforms, record the responses, and show you a number. What the number means and what to do about it — that part is usually left to you.
Explain the why.
Predict the fix.
Verify it worked.
We correlate 60+ trust signals with AI recommendation behavior — so you understand the gap, not just the score. Every fix comes with a predicted impact. Every improvement is verified.
A dataset that grows more accurate with every scan.
Every fix applied and its verified result feeds back into the prediction model. Over time the predictions get more accurate, the fix recommendations get more specific, and the gap intelligence gets deeper.
How it works under the hood
We are not reading AI outputs.
We are correlating what drives them.
60+ Trust Signal Sources
Rankall Intelligence Engine
11 AI Recommendation Platforms
Early patterns from our dataset
As our dataset grows, we are already seeing consistent patterns that generic tools would never surface.
89%
Prediction confidence
Businesses with complete directory listings and FAQ schema consistently appear in ChatGPT recommendations across dental and legal queries in our dataset.
~0.8
Reddit-Perplexity link
Reddit community presence shows a strong correlation with Perplexity local recommendations — more so than most other single signals we track.
+20pts
Review response lift
Businesses that actively respond to Google reviews tend to score meaningfully higher on Gemini local queries — a pattern we see consistently across categories.
What takes time to build
You can copy an interface in a week.
You cannot copy a verified outcome dataset.
Every fix we recommend, every business that applies it, and every score change that results — all stored and feeding the prediction model. A product starting from scratch starts with zero verified outcomes. We are building that dataset from day one.
60+
Trust signal sources mapped
10
AI platforms correlated
7
Industry verticals tracked
Day 1
Dataset building started
The longer-term vision
At scale, this becomes something tools can never become.
As the dataset grows, Rankall.io starts to answer questions that no other product can — which signals actually drive AI recommendations, which fixes have the highest cross-platform impact, which industries are most underserved by AI recommendation systems. That intelligence is what makes this infrastructure rather than a tool.
AI recommendation signal data
OpenAI
ChatGPT citation behavior data
Amazon
Product recommendation signals
Salesforce
Trust intelligence for CRM
Semrush
AI-era search intelligence
Shopify
Merchant discoverability data
See the difference for yourself.
7 days free. No credit card. Real results in 60 seconds.