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About The AEO Engine

Get recommended by AI. Not just listed.

When someone asks ChatGPT for a professional, does it recommend you by name? Or do you show up in a generic list with 20 other practices? There's a difference, and it can affect which businesses a prospect considers.

The AEO Engine is the proprietary AI insights arm of AiBuildrs, built to audit, track, and improve brand visibility across AI search. AiBuildrs founder Jerry Jariwalla developed the CITE Framework used across this work. Explore our AEO services or see AEO results and case studies.

The founder

I missed this opportunity once. Not again.

I'm Jerry Jariwalla, founder of AiBuildrs. I work with practices and firms that operate under tighter advertising and compliance constraints, including healthcare, wealth management, and legal businesses.

The CITE Framework is the methodology I use to make a business easier for AI systems to understand, verify, cite, and recommend.

2004–2008, early SEO, I watched it happen. I was running my own business, scaling from 1 to 100+ employees, paying SEO vendors who helped me rank on Google. I learned from that experience, and now I'm putting it to good use.

Now it's happening again with AI search. Another early-mover window is opening. This time, I'm not sitting on the sidelines.

Why listen to me?

Why listen to me?

Track record

22+ years digital marketing

Not theory. Built businesses. Scaled companies from 1 to 100+ employees.

Methodology

CITE Framework creator

18 months of testing. The methodology that gets practices recommended by AI.

Focus

Regulated industry specialist

Healthcare, wealth, and legal. I know the compliance constraints.

Operator

Multiple successful exits

I've built and sold companies. I understand what moves the needle.

The CITE Framework

SEO chases rankings. AEO wins recommendations.

Different game. Different signals. Here's what AI platforms check before recommending you by name.

C

Coverage

Without credible third-party coverage, AI systems have less independent evidence to verify your claims, even when your website is strong.

I

Indexability

If important service, credential, specialty, and location information is difficult for machines to access or interpret, AI systems have less usable evidence to work with. This is a common failure point.

T

Trust signals

Specific, verifiable credentials such as board certification, relevant experience, professional memberships, and documented reviews give AI systems clearer evidence than vague claims such as "experienced surgeon."

E

Entity clarity

"Wealth management" alone gives AI systems far less context than a specific description of audience, specialty, location, and services.

How we measure the work

How we measure the work

Recommendation presence

We track whether a brand appears or is recommended across a defined set of relevant AI queries and compare that visibility over time.

Human review

Content is reviewed before publication rather than being auto-published without oversight.

Measurement windows

Timing varies by starting visibility, competition, site quality, and scope. Progress is measured over defined periods rather than promised by a fixed ranking or recommendation date.

Who we serve

Who we serve

Industry

Healthcare / Medical

GLP-1 & weight loss clinics. Plastic surgery. TRT & hormone therapy. Med spas. Specialty practices.

Industry

Wealth Management

Fee-only fiduciary RIAs. Wealth management firms. Retirement planning. CFPs & investment managers.

Industry

Legal / Professional

Estate planning attorneys. Personal injury firms. Family law practices. Tax strategy & accounting.

Better calls, not more calls

Better calls, not more calls

Low-context inquiry

Comparison-led calls

"Hi, how much do you charge?" "I'm calling several places to compare." When a prospect begins with a generic list of businesses, price can become the easiest point of comparison.

Higher-context inquiry

Recommendation-led calls

"Hi, ChatGPT recommended you. I'd like to schedule." When AI has already explained why a business may fit the request, the prospect can arrive with more context before the call.

The window

The window is open. It won't stay that way.

Right now, many practices still have weak visibility for the help-seeking questions where AI systems name specific businesses. That creates an opportunity to establish clearer entity signals, stronger evidence, and broader source coverage before the space becomes more competitive.

The practices that improve first are not necessarily larger. They are simply making their expertise easier for AI systems to understand and verify.

See where you stand. 20 minutes.

I'll run live AI queries specific to your specialty and city. You'll see exactly where you appear and where you don't. No pitch, just data.