Perplexity
GrokHow to Run a Free AI Visibility Scan and Read Your Results in 60 Seconds
Your competitor just showed up in a ChatGPT answer. You didn't. That's not a ranking problem. That's an AI visibility problem — and it's a different one. Most s...
Cody Vincent
Chief Revenue Officer
Your competitor just showed up in a ChatGPT answer. You didn't. That's not a ranking problem. That's an AI visibility problem — and it's a different one.
Most service businesses have no idea where they stand across the AI engines now shaping buying decisions: ChatGPT, Perplexity, Gemini, Claude, Grok, and Google AI Overviews. They're spending on Google Ads or local SEO, watching leads slow down, and wondering why their business doesn't appear when someone asks an AI for a recommendation.
The free AI visibility scan at Newreward.com gives you a concrete answer in roughly 60 seconds. Here's what it checks, what your score means, and what to do next.
What the Free Scan Actually Checks
The scan covers seven surfaces in one pass:
- Google (classic organic search)
- Google AI Overviews (the AI-generated summaries at the top of search results)
- ChatGPT
- Perplexity
- Gemini
- Claude
- Grok
Most visibility tools cover one or two of these. This scan covers all seven and returns a single 0–100 readiness score. That number reflects how well your brand is positioned to be found, cited, and recommended across both traditional search and generative engines.
You need only an email address to run it. No credit card. No demo call first.
How to Run It
The process is four steps.
- Go to Newreward.com
- Enter your business website URL and email address
- The scan runs — roughly 60 seconds
- Your score and ranked gap audit arrive in your inbox
You don't configure anything or connect accounts. The scan does the diagnostic work automatically.
How to Read Your Score
Your score falls between 0 and 100. Here's what each range means in plain terms.
70–100: Visible, but gaps exist
Your brand has a working presence across most AI surfaces. You're likely appearing in some AI-generated answers, but the audit will surface specific gaps holding you back from consistent citation. Thin service pages and incomplete schema markup are the most common issues at this range.
40–69: Partially visible
AI systems can find some information about your brand — just not enough to cite you with confidence. Competitors with stronger structured data and more complete service pages are getting recommended instead. This is the most common range for service businesses that have invested in traditional SEO but haven't addressed AI-specific signals.
0–39: Effectively invisible
AI engines have very little to work with. Missing schema, no llms.txt file, weak trust signals, sparse service pages, and listing inconsistencies are typical here. A competitor with a mediocre website but proper AI-readiness signals will outperform you across every generative engine.
What the Audit Surfaces After Your Score
The score is the headline. The ranked audit is where the actual work starts.
The audit identifies specific, named gap types in priority order. The five most common gaps the scan surfaces are:
- Thin service pages — pages that don't give AI systems enough structured information to cite your business for a specific service
- Missing schema markup — structured data that tells AI systems what your business does, where it operates, and what it's known for
- Absent llms.txt — a file that signals to large language models how to interpret and cite your site
- Weak trust signals — review volume, recency, and consistency across directories that AI systems use to evaluate credibility
- Listing problems — inconsistent or incomplete business information across Google, directories, and data aggregators
Each gap is ranked by impact. You're not getting a list of 40 items with equal weight. You're getting a clear answer to what to fix first.
Understanding why these gaps matter across search engine optimization (SEO), answer engine optimization (AEO), and generative engine optimization (GEO) is worth a few minutes. The article on AI search engine optimization for service business buyers covers the distinctions clearly.
What Happens After the Scan
This is where New Reward works differently from monitoring tools.
Most tools hand you a report and stop there. Profound, Ahrefs Brand Radar, Otterly.ai, Scrunch AI, Semrush's AI Toolkit — they all stop at monitoring or recommendations. The execution burden stays with you or your team.
New Reward ships the fixes. The team takes the ranked audit, gets your approval on the changes, and implements them directly. Every change comes with before-and-after evidence you can inspect. No black box. No "we updated some things" with nothing to show for it.
If your score is in the 0–39 range, the AI Visibility Emergency Response program addresses the highest-impact gaps first. If competitors are consistently appearing in AI answers for your category, the Competitor Displacement Campaign is built specifically for that problem.
Industry-specific programs exist for legal, dental, medical and wellness, hospitality, financial services, and contracting — because the gap types and trust signals that matter vary by category.
Why Monitoring Alone Doesn't Move the Score
Knowing your score is step one. Watching it stay flat month after month is a different problem.
The brands appearing in ChatGPT and Perplexity answers right now aren't necessarily better businesses. They're just easier for AI systems to cite. Their service pages are specific. Their schema is present. Their llms.txt file exists. Their trust signals are consistent.
None of that is hard to fix. It just requires someone to actually do it.
If you manage multiple client brands and want to add AI visibility as a billable service, the White-Label Agency Package is built for that. Run the scan on a client's site, show them their score, and the gap audit makes the case for the work.
For a deeper look at how GEO measurement has matured and what it means for ongoing visibility tracking, the post on GEO's measurement layer covers the current state well.
Common Questions About the Scan Results
My score is 65. Is that good?
It means you're partially visible. AI systems can find your brand but don't have enough structured, consistent information to cite you reliably. A score in the 40–69 range typically means competitors with stronger AI-readiness signals are getting recommended in your place.
The audit flagged missing schema. What does that mean?
Schema markup is structured data embedded in your website's code that tells AI systems and search engines exactly what your business does, where it operates, and what it offers. Without it, AI systems have to guess — and they often skip brands they can't confidently interpret.
What is llms.txt and why does it matter?
llms.txt is a file you add to your website that signals to large language models how to read and cite your content. It's relatively new but increasingly important for generative engine visibility. Its absence is one of the most common gaps in the 0–39 score range.
How often should I re-scan?
After fixes are shipped, re-scanning shows what moved. New Reward documents every change with before-and-after evidence, so you're not relying on the score alone to know whether the work had an effect.
Does the scan work for service businesses outside the US?
The scan covers your brand's visibility across all seven AI engines regardless of geography. Industry-specific programs are available for businesses in hospitality, legal, dental, medical and wellness, financial services, contracting, and pest control.
I already pay for local SEO. Why do I need this?
Traditional SEO optimizes for Google's classic ranking algorithm. AI Overviews and generative engines like ChatGPT and Perplexity use different signals to decide what to cite. A brand can rank on page one of Google and still be invisible in every AI-generated answer. The guide to SEO, AEO, and GEO for local businesses explains the difference in practical terms.
What if my competitors are already appearing in AI answers?
That's the most urgent scenario. The gap between your visibility and theirs is measurable. The scan shows you exactly where you're losing ground, and the audit ranks the fixes by impact. The sooner the gaps close, the sooner AI systems have a reason to cite you instead.
Run Your Scan Now
Your score is waiting. It takes 60 seconds, requires only your email address, and costs nothing.
Get your free AI visibility score at Newreward.com.
If you want context on what the GPT-5 and GPT-6 cycle means for AI search readiness before you run your scan, the post on AI search readiness and model rumors is worth reading first.