Most service businesses have no idea whether they show up when someone asks an AI tool for a recommendation. They know their Google rankings. They track website traffic. But when a potential client opens ChatGPT or Perplexity and types “who are the best interior designers in Scottsdale” or “recommend a business attorney in Phoenix,” most businesses are simply absent. Not penalized. Not ranked low. Just not there.

That absence is measurable. And once you can measure it, you can fix it.
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, AI-cited content, schema implementation, and monthly visibility tracking across ChatGPT, Perplexity, Gemini, and Claude. This guide walks you through exactly how we assess a business’s AI visibility, so you can do the same thing yourself, or at least understand what you’re looking at.
What an AI Visibility Score Actually Measures
An AI visibility score is not a single metric. It’s a composite of several signals that determine whether AI tools know who you are, trust what they know, and choose to surface you when asked. Three questions cut to the core of it:
Does the AI know your business exists? This is entity recognition. AI tools build their responses from structured data, indexed web content, and authoritative sources like Google Business Profile, schema markup, and directory listings. If you’re not consistently represented across those sources with identical information, the AI doesn’t have a coherent picture of your business.
Does the AI trust what it knows? Trust comes from corroboration. If your name, address, phone, and specialty appear consistently across your website, Google Business Profile, industry directories, and press coverage, AI tools treat that information as reliable. Inconsistency creates doubt. An AI tool that isn’t sure will skip you in favor of a business it is sure about.
Does the AI surface you for relevant queries? You can have strong entity recognition and decent trust signals, but if your content doesn’t match the language AI tools associate with your category and location, you still won’t appear. The phrasing matters more than most people expect.
The businesses getting cited by AI tools aren’t necessarily the best in their market. They’re the ones that gave AI tools the clearest, most consistent, most corroborated picture of who they are.
Step 1: Run the Queries Yourself
Start simple. Open ChatGPT, Perplexity, and Gemini and run the queries your ideal clients would run. Use at least five variations:
“Best [service category] in [your city]”
“Recommend a [service category] near [your city or neighborhood]”
“Who are the top [service category] in [your metro area]”
“[Your service category] specializing in [your niche]”
“[Your service category] [your city] reviews”
For each query, note: Are you mentioned at all? If yes, what details does the AI include? Are they accurate? Do they include specific facts like certifications, awards, or service area? Document everything. Screenshot each result. This is your baseline, and you need it to measure improvement later.
Step 2: Audit Your Entity Consistency
Your entity is the machine-readable version of your business identity. AI tools assemble it from dozens of sources. Gaps and inconsistencies lower your score whether or not any human notices them.
Check these sources for consistency in your business name, address, phone, website URL, and primary service description: Google Business Profile, your own website (homepage, About, Contact), Yelp, Better Business Bureau, Bing Places, Apple Maps, industry-specific directories, and any local press coverage.
What counts as inconsistency? “Lauren Lerner Interior Design” and “Lauren Lerner Interiors” are different entities to an AI tool. A suite number missing from one listing and present in another creates ambiguity. The standard to aim for is exact match across all public-facing sources.
This is the most tedious part of the audit. It’s also the highest-leverage fix, because entity consistency has a compounding effect. Once AI tools have a coherent picture of your business, all your other signals become more effective.
Step 3: Check Your Schema Markup
Schema markup is structured data embedded in your website that tells AI tools and search engines exactly what your business is, where it operates, and what it does. Most service business websites have incomplete or no schema. That’s a fixable problem with a measurable payoff.
Use Google’s Rich Results Test and the Schema.org Validator to check your site. A well-optimized service business needs at least LocalBusiness schema (or a more specific subtype like InteriorDesigner, Attorney, or MedicalBusiness), with name, address, telephone, URL, areaServed, and description populated.
Missing schema is a gap. Incorrect schema is worse. If your schema says you’re a GeneralContractor but you’re an interior designer, that conflict actively undermines your entity recognition.
Step 4: Score Your Content Against Real AI Queries
AI tools cite sources that answer questions directly and specifically. Vague content gets passed over regardless of how well everything else is set up. Your content audit has one job: figure out whether your website answers the questions your potential clients are asking AI tools.
For each piece of published content, ask: Does this directly answer a specific question? Does it include your city, neighborhood, or region? Does it mention credentials, awards, or verifiable facts? Is it written from expertise, with a point of view, or is it generic information that could describe any provider in any market?
Generic content is invisible to AI tools. Living with Lolo, an interior design firm in Scottsdale, went from rarely appearing in AI responses to being cited with specific, accurate details — a contractor license number, Phoenix Magazine Best Interior Design awards across three consecutive years, a defined service area covering Scottsdale and Paradise Valley. That shift happened within 60 days. The mechanism was entity optimization and content that gave AI tools something specific and verifiable to cite. You can read the full Living with Lolo case study to see how the pieces fit together.
Step 5: Tally Your Score
There’s no universal AI visibility score every tool reports. You’re building your own baseline. Score across five dimensions, each on a 0 to 4 scale:
Query appearance rate — Out of 10 test queries across three AI tools, how many responses mentioned you? (0 = none, 4 = 8 or more)
Accuracy of citations — When mentioned, how accurate and specific were the details? (0 = wrong or vague, 4 = accurate with verifiable facts)
Entity consistency — What percentage of your key sources have fully matching information? (0 = widespread inconsistencies, 4 = near-perfect consistency)
Schema completeness — How complete and accurate is your structured data? (0 = none, 4 = complete with specific subtype and all relevant fields)
Content quality — How much published content directly answers specific queries with verifiable local details? (0 = none or all generic, 4 = multiple strong pieces)
Add the scores. Below 10 means significant room to improve. Above 15 means your foundation is solid and you’re optimizing at the margin. Most service businesses start between 3 and 7.
Run the same assessment every 30 days. That’s how you track whether the work is moving the needle. Our AI visibility services include monthly tracking built into every engagement, because a snapshot is just a starting point.
Frequently Asked Questions
How do I check if my business shows up in AI recommendations?
Open ChatGPT, Perplexity, and Gemini and run the queries your ideal clients would use: “best [your service] in [your city],” “recommend a [your service] near [your area],” and variations with your specialty or niche. Screenshot the results. Run at least five different phrasings across all three tools and document which responses mention your business, what details they include, and whether those details are accurate. That’s your baseline.
What does it mean to have strong AI visibility as a service business?
Strong AI visibility means AI tools know your business exists, trust the information they have about you, and choose to surface you when someone asks for a relevant recommendation. It requires consistent entity information across all public sources, complete schema markup on your website, and content that answers specific questions with verifiable local details. Strong AI visibility is not the same as strong SEO, though the two overlap significantly.
How long does it take to improve AI visibility?
Most businesses see measurable improvement within 30 to 90 days if they address entity consistency, schema, and content simultaneously. Entity fixes tend to propagate faster because they rely on sources AI tools index frequently. Content-driven improvements take longer to accumulate but have lasting effect. Living with Lolo saw AI tools citing specific, accurate business details within 60 days of starting entity optimization and content work.
What is entity optimization for a service business?
Entity optimization is the process of ensuring AI tools have a clear, consistent, and corroborated picture of your business. It involves standardizing your name, address, phone, and service description across all public sources; adding structured data to your website; building content that connects your business to specific locations, specialties, and credentials; and acquiring citations in directories and publications that AI tools treat as authoritative. The goal is for AI tools to recognize your business as a distinct, trustworthy entity rather than an ambiguous collection of inconsistent references.
Do I need to hire an agency to improve my AI visibility?
No. The audit process in this guide is something any business owner can do themselves. The fixes range from simple (updating inconsistent listings) to technically complex (implementing proper LocalBusiness schema with all required fields). If your entity consistency is poor across dozens of sources, your schema is missing, and your content needs a complete rethink, doing all of that well while running a business is a real constraint. A free AI visibility snapshot can show you exactly where your gaps are so you can decide what to tackle yourself and what to delegate.
About Cited Co
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.
Get Your Free Snapshot to find out where your business stands today.