Become the local brand AI recommends.
FlyBilly helps home service brands improve how they are surfaced, described, and recommended in AI answers, then ties that movement to leads, calls, and revenue.
What changed
Homeowners are no longer choosing from links alone.
Homeowners are asking AI who to call, what service they need, and which company seems most trustworthy. That means local service brands now compete not just for clicks, but for inclusion, positioning, and recommendation before the click happens.
Who shows up
Some brands appear in AI answers. Others do not.
How you are described
AI shapes how your brand is framed, what services you are associated with, and whether you sound like the right fit.
Who gets recommended
Being mentioned is not enough. The real question is whether AI points the homeowner to your brand or someone else’s.
What we do
FlyBilly improves recommendation where it matters.
We show you how AI currently treats your brand, identify what is limiting stronger recommendation, improve the highest-leverage signals, and track whether that movement creates business value.
Benchmark
We map where your brand appears, where it is missing, how it is described, and which competitors are recommended instead.
Improve
We strengthen the signals that influence recommendation, including website clarity, service-line relevance, trust signals, and local positioning.
Track
We monitor recommendation movement over time and connect it to leads, calls, and business-impact signals where possible.
How it works
A simple model built for busy operators.
No extra dashboard to manage. No AI fog. Just clear movement and clear next actions.
Benchmark
We establish a starting benchmark of AI presence and recommendation across your target prompts, markets, services, and competitors.
Prioritize
We identify the gaps blocking recommendation by service line, location, homeowner intent, and competitive context.
Execute
We do the work across website readiness, targeted content support, and trust signals that help your brand become the stronger answer.
Measure
We track how recommendation changes over time and connect that movement to business outcomes.
What changes
What FlyBilly improves.
This is not about generic AI visibility. It is about becoming the stronger recommendation in the moments that drive purchase.
How often your brand appears in AI answers
How your brand is described
Which services AI associates you with
Which local markets you show up in
How often you are recommended versus competitors
How that movement connects to leads and calls
Why FlyBilly
Why most AI visibility work underperforms for home service brands.
The problem is not that generic GEO does nothing. The problem is that it often stops at baseline presence. Home service brands need more than that.
Generic AI visibility work
- Broad category content
- Same playbook across industries
- Visibility-first reporting
- Weak connection to local trust and service intent
- Little connection to commercial outcomes
FlyBilly
- Built for home service brands
- Service-line and market-specific
- Focused on recommendation quality
- Strengthens trust signals where they matter
- Measured against leads, quotes, and revenue
For home service brands, being mentioned is not the same as being chosen.
Case study · Atticare USA · Metro LA & SF
Atticare went from invisible to the answer — and the calendar filled up.
We started together in early April. A first quarter stuck at 2–3 meetings a month broke open within weeks — and as their share of AI answers climbed from 8% to 58%, monthly meetings hit a company record — 24 in June, with July pacing toward 44.
Jan–Mar: baseline before FlyBilly (engaged early April). June closed at a company-record 24 meetings; July in progress, pacing toward 44 (the dashed bar). Share of AI answers climbed from 8% to 58% — and because the measured prompt set keeps expanding, today’s 58% maps to ~65% against the original set.
When someone asks ChatGPT, Gemini, or Perplexity for a company like Atticare, how often do they name you? Here’s where you win — and where you’re invisible.
“We always believed Atticare should be the company homeowners find when they’re looking for a serious, trusted contractor. FlyBilly helped us show up where customers are now asking for help — and within weeks, we were seeing a fuller calendar, more serious customers, and stronger opportunities.”
How we prove value
We prove value in two layers.
Recommendation movement
First, we establish a benchmark of AI presence and recommendation, then show how it improves over time. We track where your brand appears, where it is missing, how it is described, which competitors are recommended instead, and how that shifts across target prompts.
Business impact
Second, we tie that movement to outcomes wherever possible — calls, leads, quotes, and revenue. The goal is not just better presence in AI answers, but measurable business impact.
Pricing
Start with the benchmark. Add execution where needed.
Every engagement starts with the benchmark. Done-for-you execution is separate and additional.
AI Recommendation Benchmark
See where AI is leaving you out
Starting at
- The AI questions that matter most to your business
- Local competitor benchmark
- Where AI leaves you out
- What to fix first
AI Recommendation Lift
We fix what AI needs to trust your business
Starting at · benchmark required
- Website and service-line clarity fixes
- Trust signal improvements across your web presence
- External trust building in your category
- Ongoing retesting and refinement
AI Recommendation Growth
Where tailored human strategy goes to work
Starting at · benchmark required
- Everything in Recommendation Lift
- Bespoke trust signals created for your market
- Category-specific authority building
- Custom signal strategy for your highest-value services
The benchmark is the base layer. Execution is a separate service built on top of it.
See where you stand
See how your brand shows up in AI today.
Get a clear benchmark of where you appear, where you are missing, which competitors are recommended instead, and what is blocking stronger recommendation.
Built for home service brands, not generic local SEO.
FAQ
Common questions
SEO helps you rank in search results. FlyBilly helps your business get understood and recommended inside AI answers, where homeowners may never even click through to Google.
We strengthen the signals AI uses to evaluate local businesses — your website clarity, service-line alignment, trust signals, and the supporting signals around your brand across the web.
AI tends to favor businesses it can understand clearly, trust more confidently, and match to the job being asked about. That usually comes down to clarity, consistency, authority, and stronger supporting signals than your competitors.
We benchmark where you stand today, track how your visibility and recommendations change over time, and connect that progress to calls, leads, quotes, and revenue wherever the data allows.
Very little. We do the heavy lifting, bring you the priorities, and keep the process focused so this does not become another project your team has to manage.
Sometimes faster than expected, especially when the basic signals are weak. Bigger gains usually depend on your market, your competition, and how much trust and clarity need to be built.
FlyBilly is built for local service businesses that depend on trust, compete market by market, and need to be recommended for the services that actually drive revenue.
Yes. We are built for businesses operating in one market or across many, where recommendation strength needs to improve location by location.
No. We look across the AI platforms shaping local discovery and recommendations, not just one tool.
Because more people are starting to ask AI who to hire, what company to trust, and which option sounds best. If your business is not showing up clearly there, you can lose consideration before a prospect ever reaches your website.
About FlyBilly
Built by an operator who has built and sold before.
FlyBilly was built by Tom Oren: a developer, founder, and product leader who has spent his career turning scattered signals into systems companies can act on.
He founded and sold ServiceTycoon, a SaaS platform that served thousands of home-service businesses nationwide — including California Closets, Budget Blinds, and Gutter Helmet — and was acquired by ClickSoftware. He later built Clarity, an AI product that turns unstructured inputs — calls, reviews, customer journeys, and customer language — into decision-ready insights.
He has also scaled a direct-to-consumer business from $0 to $7M ARR and led product at public, national-scale companies in regulated industries, where trust, compliance, and operational discipline are not optional.
FlyBilly applies that same discipline to how AI finds, describes, and recommends home-service brands — grounded in the commercial reality behind recommendation: service intent, local trust, competitive context, and lead quality.
Ready to see where AI is helping your brand — and where it isn't?
Start with a benchmark. See how your brand appears, how competitors are being recommended, and what is blocking stronger recommendation.
No obligation. No hard pitch. Just a real conversation.