Be the Answer.
You're already the expert. When someone asks AI who to hire, your name still is not the answer.
When your future clients ask ChatGPT or Perplexity who to hire, one name comes back. We work on the signals that decide which one.
No cost, no commitment. You see how AI describes you today.
Founded by Fae Esparza · Customer adoption of AI products at Microsoft
Built for Experts.
An Expert is already known in their field. The reputation is real. Buyers research before they hire. AI still does not name them when someone asks who to hire.
The common characteristic is not industry. It is expertise, trust, and reputation.
If you have built the reputation and the machines still cannot explain what you do or who you serve, that gap is the work.
- People still building a first audience
- Businesses that compete mainly on price or volume
- Brands without a named person
- Buyers who want social media management or paid ads
The problem is not a competitor. It is ambiguity.
A system will not recommend what it cannot verify. Ambiguity looks like a name written three ways, a service list no source agrees on, a founder with no verifiable presence, and a site that never states what the business actually is. The machine reads that as uncertainty. Uncertainty gets skipped.
These systems do not treat your website as the truth. They treat it as one piece of evidence, weighed against your profiles, citations, reviews, press, and anything else public. When those sources disagree, nothing is confirmed, and nothing unconfirmed gets named.
What it costs
When a buyer asks AI who to hire, someone else gets named.
How it feels
It is unsettling to watch a less proven name get cited as the authority. There is no ranking page to check, and no obvious place to start.
Why it matters
Being recommended should follow from being good, not from being loud.
This happens before a buyer reaches your website. None of it appears in your analytics.
I'm Fae Esparza. I come from operations, not marketing.
I am an AI visibility consultant. Start Solutions AI is the agency I founded to do this work.
You built something real. It is strange to watch a system skip past it. You are not behind on effort. The systems doing the recommending cannot tell yet who you are.
I came to this from operations and from customer adoption of AI products at Microsoft, not from an SEO rebrand. That is why every engagement opens by showing what the platforms currently say about you, in their own words, before any work is recommended.
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, a single misconfigured line of structured data was handing every AI platform the wrong business name and the wrong city, which explained the entire score.
The method is The Recommendation Baseline. A fixed set of the questions your buyers actually ask, run across ChatGPT, Perplexity, Gemini, and Google AI Overviews, recorded verbatim, scored the same way every month. There is no ranking scoreboard. Anyone who promises one cannot show you how.
Fae Esparza, MBA · Founder, Start Solutions AI · Plano, Texas
Microsoft
Customer adoption of AI products
Operations
More than a decade running measured work, not promised work
The Recommendation Baseline
Fixed question set, answers recorded verbatim, scored the same way monthly
Three steps. Same names as the offer.
Most people start with the Snapshot, then Foundation.
Snapshot
We ask AI the questions your future clients ask, and show you what comes back. Who is named, how you are described when you are described at all, and where the gaps sit. This is a baseline, not a verdict.
- Visibility across ChatGPT, Perplexity, Gemini, and Google AI Overviews
- Whether you are mentioned by name, and how often
- Sentiment in how you are described
- The sources each platform draws on to answer
- Which competitors are named instead, and on which questions
- The specific gaps causing the result
Foundation
The core engagement. Monthly visibility tracking across ChatGPT, Perplexity, Gemini, and Google AI Overviews. Two pieces of content each month, structured the way these engines read and cite. Technical groundwork so a machine can find and describe you. A monthly report against your baseline, plus a strategy call.
Acceleration
Foundation strengthens what the engines see. Acceleration also builds what they trust: third-party citations, more of the questions your buyers ask, and added strategy time. It fits when the baseline shows someone else already owns the questions that bring you business.
- You see the evidence before you see an invoice.
- No guarantees of ranking or placement.
- You own everything we build, including the schema, the copy, and the accounts.
- Reporting you can read without a glossary.
- We tell you when something is not worth doing.
What is at stake.
The same four things, on either side of the work.
| What is avoided | What is gained |
|---|---|
| Left out of the answer, without knowing it happened | Named when someone asks AI who to hire |
| Described inaccurately, with old services or someone else's specialty | Described in your own terms, with your actual work |
| A newer name becomes the cited authority | Your name treated as a source worth citing |
| Buyers lost before any form fill exists | Visibility you can verify by asking the question |
Already the expert. Not yet the answer.
From
A capable Expert who has to explain who they are.
To
The authority AI points to by name.
Common questions
Questions worth answering directly
If you are weighing whether this work applies to you, these are the questions that usually come first.
Make a named Expert identifiable enough that a system can verify who you are, what you do, who you serve, and whether other credible sources agree. Then ask the same buyer questions over time and see whether the answers change.
That is The Recommendation Baseline. It is the work Start Solutions AI does.
No. SEO works to place a page in a list of results. AI visibility works to make a person and a business identifiable enough that a system will name them in an answer.
A site can rank on page one and still be left out of the answer.
No, and anyone who does cannot show you how. These systems do not publish their selection logic.
We strengthen the signals they use to identify and trust an Expert, then show you how the answers move.
The entity layer on your site and profiles. Consistent naming, a clear statement of what you do and who you serve, structured data that describes you rather than a client profession that is not yours, and corroborating sources.
A claim that appears in one place reads as unconfirmed.
Experts. Named people whose reputation is already the product, and whose buyers research before they hire.
It is a poor fit if you are still finding a first audience, or if buyers choose on price and speed.
A read of where you stand. We ask the platforms the questions your buyers ask, and show you what comes back.
It costs nothing and it is not a sales call.
Yes. Open ChatGPT or Perplexity and ask the question a buyer would ask. See whether you are named, and how you are described if you are.
The Snapshot asks a fuller set across several platforms and explains what is causing the result.
See where you stand.
The first step costs nothing. It shows how AI describes you today, and where its understanding is incomplete. From there, you decide what to do about it.
Be understood. Then be recommended.