Our scoring framework

The AI Citation Readiness Score

The score Cited Co uses to measure whether AI tools can find, trust, and cite your business across ChatGPT, Perplexity, Gemini, and Claude.

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The AI Citation Readiness Score, or ACRS, is the framework Cited Co uses to measure how ready your business is to be named by AI tools. It scores you out of 100 across the four categories that AI models actually pull from when they recommend a business, and it audits the inputs those models read rather than surveying the answers they give. Read your score and you know three things: where you stand today, which of the four categories is holding you back, and what to fix first. Cited Co is a boutique AI visibility agency founded by Lauren Lerner in Scottsdale, Arizona, and ACRS is the method behind every result we produce.

Most measurement in this space guesses. ACRS does not. The inputs AI systems rely on are knowable, measurable, and improvable, which is why a score can be moved on purpose instead of by luck.

What the Research Shows

AI has become a place people go for recommendations, and the businesses named in those answers win the client first. The data supports both the shift and the size of the opening.

Living with Lolo, our first client, went from a 22 to a 71 overall ACRS in about 90 days, and now appears across all four platforms we track. Cited Co proprietary scan data, April to June 2026.
In our study of the Scottsdale and Phoenix interior design market, only 2 of 7 established firms scored above 70 on AI Citation Readiness. Most recognized businesses are close to invisible in AI answers. Cited Co proprietary research, 2026.
In 2024, 58.5 percent of United States Google searches ended without a single click, and by 2026 fewer than one in three still send a click to the open web. SparkToro, 2024 to 2026.
ChatGPT reached 900 million weekly active users by February 2026, more than double a year earlier. TechCrunch, 2026.

What ACRS measures

ACRS scores four categories, worth 25 points each, for 100 total. Each one maps to a kind of signal AI models weigh when deciding who to name.

Authoritative press and media. Coverage in indexed publications. National and trade features carry more weight than a single local mention, because AI models treat earned media as evidence of authority.

Third-party citations and recognition. Awards, independent mentions, and inclusion on the curated “best in category” lists that AI tools actually cite when they answer. An award announced in an indexed publication counts far more than the same award listed only on your own site.

Structured directory and entity presence. Complete, consistent, claimed profiles across the directories that matter for your category, with structured data that AI can read. Consistent name, address, and phone across sources is a core trust signal.

Content depth and provider authority. Published content that answers the specific questions your clients ask, plus named, credentialed people behind the business. A firm that publishes clear, opinionated answers earns citations. A gallery of photos does not.

Why ACRS scores inputs, not outputs

You could ask ChatGPT the same question ten times and get ten slightly different answers. That makes AI output a noisy thing to measure and a frustrating thing to chase. So ACRS measures the underlying signals instead. Those inputs are stable, and when you strengthen them, the citations follow. This is the difference between doing the work and hoping, and doing the work and knowing why it moves.

How to read your score

Scores fall into three tiers. High is 70 and above, which means AI tools have real material to draw on and you show up. Moderate runs from 55 to 69, where you appear for some questions and not others. Low is below 55, where a business can have a strong local reputation and still be invisible in AI answers. Where you sit tells you how much room you have, and the four category scores tell you exactly where to spend the effort.

A Real Example

When we started with Living with Lolo, a Scottsdale luxury interior design and design-build firm, its ACRS was 22. The firm had won Phoenix Magazine’s best interior design award and held an active Arizona contractor license, but AI tools had almost no structured way to describe it. We worked the four categories in order of leverage. Within about 90 days the score reached 71, and ChatGPT, Claude, Perplexity, and Gemini were citing the firm by name. The full story is in our case studies. Lauren Lerner built that with the same framework every client gets, and it is why we can offer a written visibility guarantee.

Frequently Asked Questions

How do I find out my AI Citation Readiness Score?

Run the free snapshot and Cited Co scores your business across the four ACRS categories and shows you where you stand across ChatGPT, Perplexity, Gemini, and Claude. You get the number, the four category breakdowns, and the specific gaps to close. There is a fuller walkthrough in our guide on how to check your AI visibility score.

What is a good AI Citation Readiness Score?

Anything at 70 or above is High, which means AI tools have enough to work with and you tend to appear. Most businesses we scan land below 55 when we first check them, even ones with strong reputations, because reputation and AI readiness are not the same thing. The gap between the two is the opportunity.

Why does an AI model recommend one business over another?

Because it has more citable evidence about that business. Named press, third-party recognition, consistent structured profiles, and clear content that answers real questions all give an AI model reasons to say your name. ACRS measures exactly those inputs so you can build them on purpose.

Is ACRS the same as my Google ranking?

No. Traditional SEO measures where you rank on a page of links. ACRS measures whether an AI assistant will name you in its answer, which is a different problem with different signals. A business can rank on Google and still be absent from AI recommendations. Learn more about generative engine optimization.

How long does it take to move an ACRS?

Most businesses see meaningful movement within 60 to 90 days once the four categories are worked in the right order. Entity and directory fixes tend to show up fastest. Content and earned media compound more slowly but hold longer. Living with Lolo moved from 22 to 71 in about 90 days.

Can I improve my ACRS myself?

Some of it, yes. Cleaning up your directory profiles and publishing content that answers real client questions are things any business can start on. The harder categories, structured entity data and earned third-party recognition, are where an agency like Cited Co earns its keep, because they take method and time.

Cited Co is a boutique AI visibility agency founded by Lauren Lerner in Scottsdale, Arizona. We specialize in generative engine optimization for service businesses: entity optimization, schema implementation, AI-cited content creation, and monthly visibility tracking across ChatGPT, Perplexity, Gemini, and Claude. We work with a small, intentional roster of clients in high-consideration service categories where reputation drives decisions and AI visibility is becoming a meaningful competitive advantage.
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