See exactly how ChatGPT, Claude, Gemini, and Perplexity recommend your brand, why they recommend competitors instead, and what to fix first.
An engine has to find you, then recommend you, then describe you correctly, then have something to back it up, then remember you next time. Each of those can fail on its own. Here is what all five said about us.
Four review sources named Axis Suite with a 5.0 out of 5 rating: Capterra, G2, GetApp, and Software Advice. A mention-counter reads that as four independent endorsements.
It is not. Three of those four sites, Capterra, GetApp and Software Advice, share one review catalog, so their three listings are one review, not three. Our tool collapses them into a single judgment and counts G2 as a second. Four listings, two reviews, two independent judgments. It scores that 20 out of 100 against a target of ten, and it labels the target an assumption, not a law.
We published that number instead of the flattering one. A vendor showing its own evidence as thin is worth more than two invented turnarounds.
See the figures read live from that scanA diagnosis points to a specific fix, and the wrong fix for a category problem is more on-site schema.
The individual fixes are conventional. Knowing which one your actual problem needs is the product.
The engine cannot cleanly pull you from your own pages.
These are on-site fixes and they work here.
Nothing outside your own site describes you correctly.
Owned pages do not move this, no matter how well marked up. This is the case most tools miss, because they recommend schema for a problem schema cannot solve.
You are found and correctly filed but not chosen, or described wrong.
We publish the method, because a score you cannot check is a score you take on faith.
Every number above is our own real scan, read from the rows it was computed from. Nothing on this page is a sample, an average, or an estimate of what your brand might score. The method behind each figure is published, including the parts that did not go our way.
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Axis Suite is the independent intelligence layer that explains what AI believes about your brand, why it believes it, and what decision that belief ultimately drives.
AI Visibility is how AI assistants like ChatGPT, Claude, Gemini, and Perplexity decide which businesses to recommend when answering buyer questions.
Unlike traditional search optimization, it's about trust, clarity, and consistency across the sources AI systems read.
AI assistants tend to favor businesses that demonstrate:
AI Visibility measures and improves these signals continuously, not as a one-time audit.
Axis Suite tracks these signals continuously and shows you which competitors AI recommends in your place, and why — so you can close the gap.
AI Visibility is one of the core capabilities within Axis Suite. While this page focuses specifically on AI Visibility, Axis Suite is a broader AI Recommendation Intelligence platform that connects visibility with trend discovery, analytics, execution, goal alignment, and optimization.
AI Visibility is not traditional SEO, keyword ranking, or traffic optimization.
It focuses on how AI systems interpret and recommend businesses, not just how pages rank in search engines.
AI Visibility is designed for founders, growth teams, operators, and agencies managing client visibility who want to understand how AI systems influence discovery and recommendations before AI-driven advertising and conversational commerce become the default.
AI Visibility is the practice of understanding and improving how AI systems recommend businesses across AI-driven discovery environments.