Flybilly
Background video montage of warm, welcoming American homes — classic suburban houses, lit porches, and family-scale properties representing the home service brands FlyBilly helps AI recommend.
Built for local home service brandsRecommendation, not just visibility

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.

Built for
HVACRoofingPlumbingWindowsGuttersCabinetryInsulationRestoration

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.

01

Benchmark

We map where your brand appears, where it is missing, how it is described, and which competitors are recommended instead.

02

Improve

We strengthen the signals that influence recommendation, including website clarity, service-line relevance, trust signals, and local positioning.

03

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.

1

Benchmark

We establish a starting benchmark of AI presence and recommendation across your target prompts, markets, services, and competitors.

2

Prioritize

We identify the gaps blocking recommendation by service line, location, homeowner intent, and competitive context.

3

Execute

We do the work across website readiness, targeted content support, and trust signals that help your brand become the stronger answer.

4

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

No mention
Mentioned in target prompts
Generic category mention
Recommended for the right service
Wrong framing
Clear service-line positioning
Competitor favored
Competitive parity or preference

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.

How we prove value

We prove value in two layers.

Layer 1

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.

No mention to mention
Weak presence to consistent inclusion
Generic framing to service-specific recommendation
Competitor preferred to brand parity or preference
Brand Rankings vs competitors
Top cited domains analysis
Source types and AI models breakdown
Layer 2

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

$495/month

Starting at

  • The AI questions that matter most to your business
  • Local competitor benchmark
  • Where AI leaves you out
  • What to fix first
Most popular

AI Recommendation Lift

We fix what AI needs to trust your business

$1,500/month

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

$5,500/month

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 operators, not AI theorists.

FlyBilly was founded by Tom (Tamir) Oren, who previously built and led ServiceTycoon — a platform that served thousands of home service businesses nationwide, including brands like California Closets, Budget Blinds, Gutter Helmet, and hundreds of independent local operators across roofing, HVAC, windows, cabinetry, and more.

That background shapes how FlyBilly is built: practical, operator-aware, and focused on the commercial reality behind recommendation — service intent, local trust, competitive context, and lead quality. Not vague AI promises.

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.