The free AI visibility score at zygur.com has become one of the more effective cold outreach tools for digital marketing agencies right now — not because it's a gimmick, but because it shows a prospect something real about their business in 60 seconds. Specifically, it shows them whether ChatGPT, Claude, Perplexity, and Gemini would recommend them when someone asks for a business in their category. Most of the time, the answer is no. That's your opener.
Why AI Visibility Is a Better Cold Outreach Hook Than an Audit
Traditional cold outreach for agencies usually involves sending a prospect a screenshot of their broken backlink profile or a Lighthouse score. The prospect either doesn't understand it or doesn't care. AI visibility is different. When you tell a restaurant owner that you asked Perplexity 'best Italian restaurants in Austin' and their name didn't come up — but their competitor three blocks away did — that lands. It's concrete, personal, and costs them real money they can picture.
The counterintuitive part: a high Google ranking does almost nothing to guarantee AI visibility. Agencies are finding clients who rank on the first page of Google for their primary keyword and score below 30 on AI visibility. Those are actually your best prospects — they're already invested in their online presence, they understand the concept of rankings, and they have a very specific, fixable problem you can point to.
The Workflow: From Score to Proposal in Three Steps
Step 1 — Run the score before you make contact
Go to zygur.com, enter the prospect's URL, and get their 0–100 AI visibility score. Takes 60 seconds. The score breaks down how well the site communicates its identity, authority, and offerings to AI systems. You're looking for scores under 50 — ideally in the 20–40 range. Write down the number and note any obvious gaps the report surfaces, like missing structured data, no clear entity signals, or thin service descriptions.
Step 2 — Lead with the score, not your services
Your cold email subject line does a lot of work here. Something like 'Your AI visibility score: 34/100' is specific enough to get opened. In the body, explain what the number means in plain language: when someone asks ChatGPT or Gemini to recommend a [business type] in [city], the AI pulls from sources it trusts. Right now, your site isn't one of them. Two or three sentences, then offer to show them what's pulling the score down — no pitch yet.
Step 3 — Use the report in the discovery call
When they respond and you get on a call, pull up the Zygur report and walk through it. Show them what AI systems like Claude or Perplexity are likely seeing versus what their competitor's site communicates. The report gives you a structured talking point for every gap. By the end of the call, you're not selling them on a concept — you're discussing a specific fix with a measurable outcome.
What Agencies Are Packaging as the Actual Service
Once you have a signed client, the delivery side is where Zygur does most of the work. The platform is fully automated — AI generates every fix, no humans writing schema by hand or manually editing metadata. Agencies are packaging this into retainers a few different ways:
- —Standalone AEO retainer — monthly monitoring and fixes as AI platforms update their behavior, typically $500–$1,500/month depending on site complexity
- —Add-on to existing SEO retainer — position it as the AI layer on top of what you're already doing, easier sell to existing clients
- —One-time audit and implementation — run the full Zygur fix set, deliver a report showing before/after scores, then offer monthly monitoring as an upsell
- —White-label reporting — Zygur's scoring can be incorporated into your own client dashboards if you want to keep the tooling invisible
What the Score Actually Measures (So You Can Explain It)
When a client asks how ChatGPT decides to recommend one business over another, here's the honest answer: AI systems like ChatGPT and Perplexity pull from indexed content, but they weight sources that are clearly structured, authoritative, and consistent across the web. The Zygur score measures how well a site signals those things — structured data completeness, entity clarity, content depth, and how the site appears across external sources AI systems trust. A site with a score of 70+ is one that AI can confidently cite. A site with a score of 30 is one the AI effectively ignores.
A Note on Timing
AI search behavior is shifting fast enough that early-mover advantage is real here. Perplexity's market share roughly doubled in the past year. Gemini is now integrated into Google's search results. ChatGPT has crossed 200 million weekly active users. Businesses that get their AI visibility right in 2025 are building a position that compounds. Agencies that offer this service now are building a practice that's genuinely hard to commoditize, because it requires understanding how AI systems actually work — not just how to write a meta description.
FAQ
How does the free AI visibility score work?
You enter any URL at zygur.com and the system analyzes the site against the signals that AI platforms like ChatGPT, Claude, Perplexity, and Gemini use to evaluate and recommend businesses. You get a 0–100 score in about 60 seconds with a breakdown of what's working and what's pulling the score down. No account required.
Can agencies white-label the Zygur tool for client reporting?
Yes. Zygur is built to integrate into agency workflows, including white-label reporting options. Contact the team through zygur.com for details on agency-tier access.
What's a good AI visibility score to aim for?
A score above 70 puts a business in territory where major AI systems are likely to surface it in relevant recommendations. Scores below 50 indicate significant structural gaps. Most businesses score between 25 and 55 on their first run — which tells you how much opportunity exists in this space.
Does Google SEO affect AI visibility?
Partially, but not as much as most people assume. Some signals overlap — structured data, content quality, site authority — but AI platforms evaluate sources differently than Google's ranking algorithm. A business can rank well on Google and be nearly invisible to ChatGPT or Perplexity, and vice versa. That's why the Zygur score is a separate measurement.
How long does it take to see improvement in AI visibility after fixes are applied?
It depends on how quickly AI platforms re-index and update their knowledge sources. In practice, businesses see measurable score improvements within 30–60 days after fixes are implemented. Some changes, particularly structured data and entity signals, can be picked up faster by systems like Perplexity that index in near real-time.
Check your score free at zygur.com — takes 60 seconds, no account required.