CompareNew Reward vs Scrunch AI: a rendered layer vs fixing the real site
Scrunch AI is the closest self-serve comparison: published pricing from $250/mo, a real monitoring product, and an Agent Experience Platform that serves AI crawlers an optimized, machine-readable version of your site. The fork in the road is the word 'version.'
Scrunch AI
RecommendationsMonitors ChatGPT, Claude, Gemini, Perplexity, Copilot, Google AI Mode/Overviews, and Meta; tracks citations, personas, and agent traffic. Its Agent Experience Platform serves machine-readable site versions to AI crawlers.
- Published pricing
- Starter $250/mo (annual) or $300 monthly; Growth $417/mo (annual) or $500 monthly; enterprise custom. 7-day free trial.
- Best fit
- Self-serve buyers who want AI-visibility monitoring today at a published price and accept a rendered-layer approach.
Sources: scrunch.com · scrunch.com
New Reward
Proof loopThe AI-visibility platform for search and AI answers — with proof you can inspect. The score finds where your brand disappears across Google and AI answers, approved actions ship, and each fix carries evidence you can inspect.
- Where to start
- The free score takes about a minute; the free audit turns it into ranked gaps; the demo walks the proof loop end to end.
- Proof artifact
- Per-action evidence — what shipped, against which gap, and what changed — rather than a dashboard or monthly report.
Choose Scrunch AI if
- You want self-serve monitoring with a free trial and published pricing today.
- A parallel machine-readable layer for AI crawlers fits your risk tolerance.
- Your team will handle the underlying site fixes from its recommendations.
Choose New Reward if
- You want the actual site fixed, not a parallel rendering of it.
- You need before/after evidence per action that survives an executive review.
- You want one accountable loop from score to shipped fix.
Common questions
Asked before choosing.
What is Scrunch AI's Agent Experience Platform?
Per Scrunch's site, it automatically serves AI agents and crawlers machine-readable, optimized versions of your pages — a rendered layer alongside your site. Underlying site changes remain recommendations for your team.
Why does fixing the real site matter?
A parallel layer helps crawlers parse you, but your canonical pages still carry the trust signals buyers and AI systems evaluate. Fixes shipped to the real property compound — and they're evidence you own.
How does New Reward prove the work?
New Reward runs a proof loop: a visibility score finds the gap across Google and AI answers, an approved action ships, and the result is inspectable evidence — not a dashboard recommendation or a monthly report you have to take on trust.
How this comparison is sourced Competitor details come from their own public pages, verified on 2026-06-09; sources are linked above. Pricing appears only where a vendor publishes it. New Reward claims here describe how the product works, not outcome guarantees. If something is outdated, tell us and we'll correct it.
Decide with your own data
Run the comparison on your brand.
Get the free score in about a minute, request the free audit for ranked gaps, or book the demo and watch the proof loop run end to end.
