Be 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 your business today.
Founded by Fae Esparza · Customer adoption of AI products at Microsoft
Most businesses are not in the answer.
AI assistants recommend what they can verify. A business with inconsistent naming, no structured description, and no corroborating sources reads as uncertain, and uncertain businesses get skipped. This happens before a buyer ever reaches your website, so none of it appears in your analytics.
See what AI says about you.
We ask the platforms directly and show you the answers.
Build what AI needs to trust you.
Entity clarity, structured data, corroborating sources.
Watch the answers change.
The same questions, tracked over time, reported in plain language.
Recommendations are the outcome. Understanding is the foundation.
Before an AI system can recommend a business, it has to be confident about what that business is, what it does, who it serves, and whether other credible sources agree. Most businesses have never had that layer built, because until recently nothing required it. Start Solutions AI builds it, then shows you how the answers change.
It starts with a baseline.
Before making recommendations, we establish where you stand. The AI Visibility Snapshot takes the real questions your future clients ask and runs them through the major AI engines to see how you show up. Most businesses are surprised by the gap between how they see themselves and how AI describes them. That gap is the starting point, measured and clear, so every move after it is deliberate instead of guesswork. This is a baseline, not a verdict.
Get your free AI Visibility Snapshot- AI visibility across the major engines
- AI mentions of your business
- Sentiment in how you're described
- Citation sources AI draws from
- Recommendation gaps
- Visibility opportunities
How AI builds trust.
AI does not treat your website as the truth. It treats your website as evidence. It learns from your website, reviews, business profiles, citations, social presence, press coverage, directories, and other public information. Each signal becomes evidence that helps AI understand your business and decide when it should be recommended.
AI visibility is different.
Traditional SEO works to rank your pages. AI visibility works on something earlier: whether the system understands your business well enough to bring you up at all. Ranking is about position. Understanding is about whether you're in the conversation. Our work strengthens the signals that understanding depends on.
- Who you are
- What you do
- Who you serve
- What others say about you
- Whether you should be recommended
From guesswork to measurable visibility.
Once we know how AI understands you today, here's how we strengthen the signals it relies on.
Step 1. We measure.
We track your visibility across ChatGPT, Perplexity, Gemini, and Google's AI every month. Your share of voice, the questions you appear for, and how you stack up against competitors. You see the number, and you see it move.
Step 2. We build the content AI actually uses.
AI engines pull answers, not just pages. We structure your content the way these tools read it: clear questions, direct answers, the format that gets you cited instead of skipped.
Step 3. We build the authority AI trusts.
AI weighs what others say about you, not only what you say about yourself. We work on the citations, mentions, and third-party signals that make the engines treat you as a credible answer.
Built for expertise-driven businesses.
This is for businesses whose reputation is the product. If clients choose you because of your expertise, your track record, and what others say about you, then how well AI understands those things determines whether you get recommended. The common characteristic isn't industry. It's expertise, trust, and reputation.
If you've built a reputation but AI can't yet explain what you do or who you serve, that understanding gap is the work. It's also fixable.
How we work together.
Most people start with the free baseline, then choose the level that fits where they're trying to go.
AI Visibility Foundation
The core engagement. Two pieces of content each month built for how AI engines read and cite, monthly visibility tracking, the technical groundwork that lets engines find you, and a monthly report that shows progress against your baseline. A monthly strategy call keeps it pointed at what matters.
- Monthly visibility tracking across ChatGPT, Perplexity, Gemini, and Google's AI
- Two pieces of content per month, structured for how AI engines read and cite
- Technical groundwork enabling AI discovery and citation
- Monthly progress report against your baseline
- Monthly strategy call
Authority Acceleration
Foundation strengthens what AI engines see. Acceleration also builds what they trust: active citation and authority work on the third-party sources AI engines pull answers from, expanded content across more of the questions your clients ask, and added strategy time to direct it.
- Everything in AI Visibility Foundation
- Active citation and authority building on the third-party sources AI engines read
- Expanded content covering more of the questions your clients ask
- Added strategy time to direct the expanded work
Most clients start with AI Visibility Foundation. Authority Acceleration fits when your baseline shows competitors already own the questions that bring you business, and waiting has a cost.
Start with your free baselineWhy Start Solutions
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, 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 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.
Fae Esparza, MBA · Founder, Start Solutions AI
Microsoft
Customer adoption of AI products
Operations
10+ years across healthcare, nonprofit, and small business
Method
Fixed question set, answers recorded verbatim, scored the same way monthly
Common questions
Questions worth answering directly
If you are weighing whether this work applies to your business, these are the questions that usually come first.
No. SEO works to place a page in a list of results. AI visibility works to make a business identifiable enough that a system will name it in an answer. The two overlap, because both rely on a clean, crawlable site, but the goal is different. Search engines rank pages. AI systems describe entities, and they only describe what they can verify.
A business can rank on page one and still be left out of the answer, because ranking and understanding are separate problems.
No, and anyone who does cannot show you how. These systems do not publish their selection logic, and their answers vary between users and change without notice.
What we work on is the part that can be influenced. We strengthen the signals a system uses to identify a business, understand what it does, and decide whether it is trustworthy enough to name. Then we ask the same questions over time and show you how the answers change. You see the evidence, not a promise.
The entity layer. That means structured data describing what your business is, consistent naming and facts across every place you appear, a clear statement of what you do and who you serve, corroborating sources that confirm it independently, and founder presence a system can verify.
Most of the work is on your own site and profiles. Some of it is making sure other credible sources agree with what your site says, because a claim that appears in only one place reads as unconfirmed.
It depends on how much of the foundation already exists and how often the platforms refresh what they know about you. Some changes appear within weeks. Others take longer, because corroborating sources have to be published and indexed before a system will treat them as confirmation.
We re-run the same questions on a set schedule, so you can see movement as it happens rather than waiting for a report at the end.
It is a read of where you currently stand. We ask AI platforms the questions your buyers ask before they hire someone, and we show you what comes back. Who gets named, how you are described when you are described at all, and which gaps explain the difference.
It costs nothing and it is not a sales call. It is the evidence you would need before deciding whether any of this is worth doing.
Expertise-driven businesses. Firms, practices, and specialist operations whose buyers research carefully before choosing, and who already do the work well enough to deserve the recommendation.
It is a poor fit for businesses competing mainly on price or volume, where buyers decide fast and rarely ask for a recommendation first.
The foundation is built once. Keeping it accurate is ongoing, because your services change, the platforms update how they read sources, and competitors keep publishing.
Entity understanding does accumulate rather than reset, so the ongoing work is lighter than the build. But a foundation left untouched for a year will describe a business that no longer exists.
Yes, and it is worth doing before you talk to anyone. Open ChatGPT, Perplexity, or Google AI Mode and ask the question a buyer would ask. Something like the best firm in your city for the specific thing you do. See whether you are named, and see how you are described if you are.
That single test tells you more than most audits. The Snapshot goes further by asking a fuller set of questions across several platforms and explaining what is causing the result.
See where you stand.
The first step costs nothing. It shows you how AI describes your business today, and where its understanding is incomplete. From there, you decide what to do about it.
Get your free AI visibility snapshotBe understood. Then be recommended.