Launched this week

New Reward AI Visibility Score
Find where your brand disappears in AI and Google
7 followers
Find where your brand disappears in AI and Google
7 followers
New Reward AI Visibility Score shows where a brand disappears across Google, AI answers, content, reviews, and social proof. Run the scan, get the first growth lane to fix, and track proof after the work ships.

We built New Reward AI Visibility Score because brands are starting to lose visibility before a buyer ever reaches their website.
The score is meant to answer one practical question: where are you disappearing across Google, AI answers, and the proof surfaces buyers inspect before they book a call?
It starts with the scan, identifies the first growth lane to fix, and gives teams a clearer way to prove what changed after the work ships.
Would love feedback from founders, operators, and marketers who are already seeing AI search change their pipeline.
@james_brady4 Ran it on my own domain, one that already gets cited by ChatGPT and Perplexity in its niche, so I had a reality baseline to compare against.
The result matched: 79%, citation rate 67%, and the gaps it named are real (missing agent.json, thin entity fields).
The strongest design choice here is the honest labeling: measured, modeled, and directional evidence kept apart instead of blended into one vanity number.
Almost nobody in this category does that. One scoring question: local entity clarity flagged weak at 25%, but this is a global B2B service with zero local intent. Does the local plane adjust its weight for businesses without a geography, or does it drag the composite for everyone?
Follow up with data: ran the scan this morning at 79 percent, fixed what it flagged (added the agent manifest at root and well known, plus a full Organization schema with corroboration links), re-ran it this afternoon: 87 percent. Local entity clarity went from 25 to 100, both warnings cleared.
Roughly two hours of work, all driven by the scan's own findings. That same day loop is the strongest argument for the product.