Start Solutions AI is an AI visibility agency founded in 2026 and based in Plano, Texas. We help experts get recommended when their future clients ask AI engines who to trust, a practice also known as Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO).
Fae Esparza
Founder, Start Solutions AI
"I come from operations, not marketing. I measure what AI platforms understand about your business today, then build the signals that correct it."
We track your visibility across ChatGPT, Perplexity, Gemini, and Google AI Overviews. The work has a clear sequence, starting with a free baseline and running on three tracks every month from there.
Every month you receive a progress report against your baseline and a strategy call to keep the work pointed at what matters.
ChatGPT
Tracked
Perplexity
Tracked
Gemini
Tracked
Google AI
Tracked
Free AI Visibility Snapshot
Runs the real questions your clients ask through each engine, shows whether you come up, and compares you against competitors. Costs nothing.
Monthly Visibility Tracking
We track your share of voice and the questions you appear for across all four engines every month. You see the number move.
Content Built for AI Citation
We structure content the way AI engines read it: clear questions, direct answers, the format that gets you cited instead of skipped.
Authority and Citation Building
We build the third-party citations and authority signals that make the engines treat you as a credible answer.
We help Experts get recommended when their future clients ask AI engines who to hire.
An Expert is already known in their field. The reputation is real. AI still does not name them when someone asks who to hire.
Start Solutions AI is the AI visibility agency that measures that gap and builds the evidence trail.
Not a fit
Fae Esparza · Plano, Texas
I'm Fae Esparza. I come from operations, not marketing. Before founding Start Solutions AI I spent more than a decade in business operations across healthcare, nonprofit, and small business settings, environments where results were measured, not promised. I also worked on customer adoption of AI products at Microsoft. Between the two, I learned how these tools actually behave, what makes them surface one name over another, and how rarely it comes down to who is best.
AI visibility is the same problem pointed at a new surface. You already do the work well. The gap is that the systems your clients now ask can't yet explain what you do or who you serve. I measure what they understand about you today, find where that understanding is wrong, thin, or missing, then build the signals that correct it.
Operations is why this is measured instead of asserted. I ask the platforms a fixed set of the questions your buyers ask, record the answers word for word, and score them the same way every time. I read what the platforms actually said rather than a vendor dashboard's summary, because I have watched those dashboards report mentions that were not in the text. When a result is bad, the job is finding the specific thing causing it. On one recent engagement, the firm's own structured data pointed at its hosting provider's domain instead of its own website, quietly telling every AI platform the wrong story about who the page belonged to.
The other reason to measure is that the ground moves. These platforms change how they read and weight sources without announcing it, so an answer that names you this month can drop you next month for reasons that have nothing to do with anything you did. Without measurement, you find out when inquiries slow down, and by then you are guessing at the cause. With it, you see the change the month it happens, and you know whether it was them or you.
Microsoft
Customer adoption of AI products. Understanding how AI tools behave in real enterprise contexts.
Operations
More than a decade across healthcare, nonprofit, and small business, where results were measured rather than promised.
Method
A fixed question set, answers recorded verbatim, scored the same way every month.
Education
MBA
University of Massachusetts Lowell
BS in Health Management
Northeastern University
Most AI visibility and SEO providers come from a marketing background. Start Solutions AI comes from operations and AI implementation. That distinction changes what the work covers.
Built from real AI implementation
The founder built AI-driven systems behind real businesses before applying the same methods to AI search. This is not a marketing reframe of SEO. It is operations applied to a new surface.
Measured every month
You see a number. You see it move. Share of voice, question coverage, and competitor comparison, tracked and reported every month against your baseline rather than described.
Answers read, not summarized
Platform answers are recorded word for word rather than taken from a vendor dashboard's summary. When a result is bad, the job is finding the specific thing causing it.
The right clients, not every client
We work with established experts who already have a reputation and need AI engines to recognize it. We are direct about who we are a fit for, and who we are not.
It costs nothing and shows whether AI engines recommend you or a competitor for the questions your clients ask. From the baseline, the right service tier is usually clear.
Get your free AI visibility snapshotNo cost. No commitment. Just a clear picture of where you show up today.