Problem one
Find where your brand disappears.
See the missing signals before a louder competitor becomes the easier answer.
FindabilityWeak
Leak speedNow
Next stepScan
New Reward
The brand SEO platform for AI visibility that gets shipped.
New Reward fixes where your brand disappears across Google and AI answers, then proves what changed.
Free score in ~60s. No card, no obligation.See how the AI visibility score works.
Illustrative demo
yourbrand.comScan
71
Readiness / 100
Fix shipped: schema + service pagesEvidence: scan re-run on the live site Revenue lift: awaiting source data
06Your turn — run it on your real site.
Surface marks show where New Reward checks visibility. They are not partner badges or outcome guarantees.
Problem two
Fix what AI still cannot trust.
Show why AI still doubts your brand before your offer gets treated like a maybe.
Trust scoreLow
Trust riskHigh
Next stepPatch
Problem three
Move before the next cycle closes.
Turn the score into one ranked next step while the window is still open.
Decision pathClear
Owner stateReady
Next stepShip
01InvisibleProblem one
02UntrustedProblem two
03OutpacedProblem three
Blind spotTrust issueNext step
Search and answer surfaces
SEO, AI answers, and trust proof. One system, one loop.
New Reward checks classic search, answer engines, citations, comparisons, local proof, reviews, technical SEO, and the next buyer step as one visibility system.
Crawlable proof
A brand SEO platform needs text that answer engines can use.
New Reward is a brand SEO platform built for teams that need their category, proof, and buyer answers to appear in more than one search surface. The product starts with a website scan, but the useful work is the fix loop after the score. It checks whether Google can understand the business, whether AI Overviews can describe the offer, whether ChatGPT citations have enough source material, and whether Perplexity tracking can point to pages with clear evidence instead of thin claims.
The platform is also an AI visibility tool for operators who need execution, not another dashboard. A scan can show missing schema, weak service pages, unclear entity signals, stale review proof, or pages that AI systems cannot cite confidently. New Reward turns those findings into approved work: rewritten crawlable copy, structured data, internal links, source-backed comparisons, listing proof, and conversion paths that can be inspected after they ship.
Each fix keeps a proof state attached. Drafted guidance is not treated as published work. A published page is not treated as verified public evidence until the live experience can be checked. A new score is not treated as improvement proof until the source page, search signal, review profile, or citation opportunity can support the claim. That separation helps a team decide whether the next action is more page evidence, stronger local proof, clearer buyer language, review follow-up, or a fresh public readback.
That matters because generative search does not reward a brand for slogans alone. The page needs plain server-rendered text that explains the problem, the product, the proof, and the next step. New Reward keeps the brand SEO platform language, AI visibility evidence, ChatGPT citations, Perplexity tracking, and GEO monitoring connected in one visible story so crawlers, answer engines, and buyers can see what changed and what still needs ownership.
Video proof
Watch the proof loop, then get your visibility readout.
This 63-second walkthrough shows how classic search, answer-ready pages, and generative engine evidence work together so buyers and AI systems see the same trusted business.
01Watch
See why findability, answerability, and evidence have to move together.
02Diagnose
Request the free audit to find the gaps for one real business.
03Convert
Book the strategy session when the next fix needs an owner.
How this works
One path from visibility problem to next action.
See the gap, see the signal behind it, see the work that closes it — and leave with a concrete next step.
Problem
01AI may skip you
Lead with the visibility and trust gap, not a service menu.
Proof
02Show the surface
Use search, answer-engine, citation, review, and comparison signals as the first proof layer.
New Reward action
03Fix the right lane
Move from score to one growth lane: visibility, distribution, trust, response, automation, or proof.
Fit
04Built for operators
Frame the system for founders, operators, and partners who need a shippable next move.
Next action
05Start with the score
Send the visitor to the scan or appointment path instead of vague exploration.
Proof workflow
The score only matters when the next fix ships.
New Reward turns search and AI visibility into operational work: find the gap, approve the fix, ship the change, and keep the readback attached.
Score the real visibility gap
Start with the website and the surfaces buyers use. Check search results, answer engines, comparison content, local proof, and reviews. Include the next conversion step. The scan separates findability, trust, citation, and readiness signals. Then the gap is specific enough to act on.
Choose the work that should ship
The action queue turns the score into practical fixes. It covers page copy, metadata, schema, and entity clarity. It also covers internal links, review proof, listings, and response paths. Operators can approve the work that matters now. Weak or unsupported ideas stay on the board.
Prove what changed
Every completed fix needs readback. New Reward keeps before-and-after evidence close to the work. Teams can separate drafted, shipped, deployed, live-verified, and still-blocked states. They do not need a black-box score.
Visibility surfaces
Search, AI answers, trust proof, and conversion all need the same story.
A brand can rank, still disappear from AI answers, and still lose the buyer when the next step is unclear. The work has to cover the full path.
Classic search
Titles, descriptions, headings, internal links, crawlability, and page intent still matter. They help a brand get found before an answer engine summarizes it.
Answer engines
ChatGPT, Perplexity, Gemini, Claude, Grok, and AI Overviews need clear entity signals. They need useful answers and corroborating proof before they mention a brand confidently.
Trust proof
Reviews, case evidence, team pages, service clarity, comparison pages, and local profiles build trust. They help buyers and AI systems see why the brand is credible.
Conversion path
Visibility work is not finished when traffic arrives. The scan points toward the next buyer step. That step may be booking, an audit request, a report unlock, or a team handoff.
Answer coverage
The questions AI systems need source material for.
These are the buyer questions New Reward keeps connected to owned pages, structured proof, and live readbacks.
How do I get my brand to show up in ChatGPT and Perplexity answers?
Start with pages that state the category, audience, offer, proof, and next step in plain text. Add schema and internal links. Then build trusted sources that AI systems can cite.
See the AI visibility scoreWhat is the difference between an AI visibility tool and implementation?
A tool finds mentions, citations, prompts, and competitor gaps. Implementation changes the public evidence. New Reward connects the scan, approved fixes, live readback, and remaining blockers.
Compare AI visibility toolsWhich GEO platform helps when AI Overviews mention competitors instead?
Use a platform that separates measurement from shipped work. Find the missing answer. Fix the owned page. Strengthen proof. Then read the result back.
Review GEO platform criteriaHow should a team monitor brand mentions in AI Overviews and generative search?
Track prompts, sources, competitor citations, answer language, and the page that should support each answer. Keep every claim tied to a page, profile, review, or report that can be inspected.
See brand monitoring coverageAre SEO platforms enough for AI Overview and generative search visibility?
Traditional SEO data still matters. AI visibility also needs answer-ready content, entity clarity, citation proof, reviews, and off-site authority. The systems should work together.
Explore SEO, AEO, and GEO workHow do I fix thin pages and missing schema for AI-generated search results?
Write the answer first. Add the missing service facts, proof, FAQ coverage, schema, and links. Then verify the live page before calling the recommendation complete.
Request the free auditWhat you get
See it work before you buy it.
Clear problem. Clear plan. Clear next step.
Find the problem
Know where AI visibility breaks before the market locks in someone else.
Build trust
See the pages, listings, and trust signals still making your offer look weak.
Act faster
Give operators one ranked next step instead of another vague backlog.
Readiness score
0–100
One number for how search and AI systems find, trust, and cite the brand.
Time to run
~60s
Enter the website; the scan reads the surfaces buyers actually use.
Unlock
Email-only
The full report opens with an email. No card, no phone, no obligation.
Proof you can inspect
Real cases, displayed from their own data.
Built for your industry
All industriesBuilt for action
Built for teams that need an answer now.
Founders, operators, and partners all need the same thing: a faster way to see the problem and fix it.
Founders
Know if AI demand is drifting before revenue does.
Operators
Replace backlog debate with a clear next step.
Partners
Sell a score-and-fix story instead of abstract services.
Team proof
Built by the team that can prove the work.
AI visibility work needs revenue, product, engineering, platform, and sales ownership in view because the buyer has to trust both the strategy and the follow-through.
Cody Vincent
Chief Revenue Officer
Revenue leader turning AI visibility into buyer conversations, proof, and practical next steps.
James Brady
Chief AI Officer, Product & AI Operations
Product and AI-operations lead translating strategy into systems, agents, proof loops, and shipped workflows.
Jason Thelin
President
Company-building operator bringing long-term software leadership and executive discipline to New Reward.
Bo Wang
Engineering Lead
Implementation lead supporting proof hardening, scanner findings, and production-quality delivery slices.
Mateo Osorio Delhonte
Platform Engineer
Platform contributor working across client-portal, data coverage, route quality, and documentation slices.
Payton Dray
Sales Executive
Sales executive helping prospects move from interest to a clean New Reward conversation.
Common questions
The short answers, before the call.
What does New Reward do?
New Reward connects brand SEO and AI visibility work in one loop. It scores how a brand appears in Google and AI answers. It ships approved fixes and shows proof for each change. The work does not stop at a dashboard. It does not stop at a recommendation list. New Reward keeps the gap, fix, shipped change, and proof connected. Operators can see what moved and what still needs ownership.
How do I check my brand's AI visibility?
Run the free score at newreward.com/scan. Enter the website. Get a readiness score across search and AI surfaces in about a minute. The full report unlocks with just an email. It turns a vague visibility problem into a ranked action queue. It shows where the brand is findable. It shows weak trust signals. It shows where answer engines need clearer evidence.
What is the difference between SEO, AEO, and GEO?
SEO helps a brand rank in classic search results. AEO helps ChatGPT and Perplexity cite the brand. GEO helps AI Overviews and generated answers describe the brand. New Reward connects all three in one system. Buyers compare search, answers, reviews, and follow-up before they choose.