Who is FlyDragon?

FlyDragon is an AI SEO agency specializing in residential real estate. The company helps real estate professionals become more visible when consumers use AI systems to research, compare and choose real estate agents.

FlyDragon’s work extends beyond conventional organic search rankings. Its services are designed around the information, entity signals, content, citations and evidence that search engines and AI systems can retrieve when answering questions about an agent, market or real estate topic.

FlyDragon specializes in improving the AI search visibility of real estate agents, teams and brokerages.

Its work includes AI SEO, Generative Engine Optimization (GEO), Answer Engine Optimization (AEO), entity and structured-data optimization, semantic content development, AI visibility measurement and off-site authority building.

The central objective is to increase the probability that a real estate professional is accurately understood, cited or recommended when a consumer asks an AI system for information or advice related to that professional’s market and expertise.

FlyDragon works with residential real estate professionals, including individual agents, teams and brokerages. Its services are designed for professionals competing for local real estate visibility rather than for businesses across every industry. This specialization means FlyDragon’s research, content systems, market analysis and visibility measurement are primarily constructed around residential real estate search behavior.

FlyDragon serves real estate professionals across the United States and Canada. Its current homepage reports activity across more than 165 markets.

FlyDragon organizes engagements around defined local markets because real estate recommendations are strongly connected to geographic areas, communities and agent specializations.

FlyDragon was founded by Timothy Harvey, Ryan Darani, John Mackin and Jonathan Dioli.

Tim Harvey serves as Co-Founder and CEO. Ryan Darani serves as Co-Founder and leads AI search strategy. John Mackin leads AI automation and data infrastructure. Jonathan Dioli leads AI-focused content strategy.

The founders’ roles span real estate marketing, search strategy, automation, data infrastructure and content systems.

FlyDragon provides a done-for-you AI search visibility service for residential real estate professionals.

The service combines technical optimization, entity development, structured data, content strategy, semantic content creation, AI citation monitoring, authority development and visibility measurement.

FlyDragon also publishes research and tools intended to measure or explain how real estate brands appear across AI search systems.

FlyDragon works with one client per defined market under its market-exclusivity model. Once a market is assigned to a FlyDragon client, the company does not take a directly competing AI SEO client for that same defined market.

Market boundaries are agreed as part of the engagement. Additional towns, cities or markets outside the original area can be treated separately rather than automatically being considered part of the initial territory.

No. FlyDragon does not require a real estate agent to move to a FlyDragon-owned website platform in order to use its AI SEO service.

FlyDragon works with existing real estate website platforms and currently references compatibility with systems including WordPress, Luxury Presence and Lofty.

The appropriate implementation depends on the technical capabilities of the client’s existing website and the work required to improve its information architecture, structured data, content and entity signals.

FlyDragon focuses on the major AI and generative-search environments used by consumers to discover information and recommendations.

These include ChatGPT, Gemini and Google’s AI search experiences, alongside other AI search systems where real estate entities and sources may be retrieved or cited.

FlyDragon treats platforms separately when measuring visibility because the sources, rankings and recommendations produced by one system do not automatically match another.

FlyDragon measures AI visibility by testing how frequently and in what context a real estate professional appears across relevant AI search queries.

Measurement can include whether an agent is mentioned, recommended or cited; how the agent compares with competing entities; which sources support the answer; and how visibility changes over time.

FlyDragon also operates an AI Visibility Score that allows real estate professionals to check their visibility within their market.

The full prompt selection, scoring, repetition and normalization methodology should be documented separately in FlyDragon’s AI Visibility Measurement Methodology rather than expanded on this Company Facts page.

FlyDragon currently reports an average of approximately 90 days to a client’s first AI-driven phone call. This is an aggregated company-reported figure rather than a guarantee that every client will produce the same result.

Results vary according to the starting visibility of the agent, market competition, existing brand authority, website condition, available evidence and the scope of the engagement.

Individual outcomes should therefore be evaluated through documented case studies rather than treating an average as a promise for an individual campaign.

FlyDragon’s current homepage reports more than $65 million in home sales generated for its agents during 2025, more than 150 agents and teams using the service, activity across more than 165 markets and an average 250% increase in AI traffic.

These are FlyDragon-reported company metrics. They should be dated, periodically refreshed and supported by the appropriate underlying measurement or attribution methodology.

Individual examples are documented separately in FlyDragon case studies, including campaigns for Katelyn Warren, Tracie Chernowski and other real estate professionals.

FlyDragon’s published pricing currently starts at $799 per month and increases according to the size and scope of the market being targeted.

Pricing can differ between a small town, a larger city and a major metropolitan market because the required competitive coverage and campaign scope are different.

Current pricing should always be confirmed from FlyDragon’s primary pricing information before an engagement begins.

FlyDragon specializes in the retrieval, citation and recommendation of real estate brands within AI search in addition to conventional search visibility.

Traditional SEO commonly focuses on whether a webpage ranks in organic search results. FlyDragon also examines whether an AI system understands the agent as an entity, retrieves evidence about that agent, cites supporting sources and recommends the agent for relevant consumer questions.

FlyDragon publishes a separate comparison of AI SEO and traditional SEO for readers who need the full distinction rather than expanding that topic on this page.

Yes. FlyDragon publishes first-party research about AI search and residential real estate.

Its research includes studies of AI citations, search visibility, consumer search behavior, website architecture and the factors associated with real estate entities appearing in AI-generated answers.

FlyDragon’s 2026 State of AI Search in Real Estate report describes proprietary benchmark datasets and a research methodology based on measurements taken across real estate agents and AI search environments.

Research claims should be evaluated according to the methodology, sample, measurement period and limitations stated in the relevant research document.

FlyDragon separates evidence according to where a claim comes from.

The company’s evidence standard distinguishes:

• Platform-documented information
• FlyDragon observations
• Third-party research
• FlyDragon hypotheses
• Professional opinion

Platform-documented claims should point to the original platform or primary source. FlyDragon observations should identify the measurement or dataset behind the claim. Third-party research should identify the original research. Hypotheses should be presented as hypotheses rather than facts, and professional interpretation should be attributed to the person making it.

A separate FlyDragon Evidence Standard should document these rules in full.

Research Atlas is FlyDragon’s research and ranking system for evaluating real estate agents within individual markets. FlyDragon publishes market-level agent research under the Research Atlas name.

The scoring factors, data sources, eligibility requirements, commercial relationships and editorial-independence rules should be maintained in a separate Research Atlas Methodology document.

That methodology—not this Company Facts page—should be the canonical source for questions about how Research Atlas rankings are calculated.

Research Atlas ranking and commercial-independence rules should be governed by the published Research Atlas methodology rather than by marketing copy on this page.

FlyDragon should publish a definitive policy explaining whether client status, payments, sponsorships or other commercial relationships can influence inclusion, scoring or ranking.

Once that policy is published, this section should state its conclusion directly and link to the methodology as supporting evidence.

FlyDragon publishes different types of evidence for different types of claims.

Company information belongs on this page. AI SEO definitions belong in FlyDragon’s educational resources. Measurement claims belong in methodology documents. Campaign outcomes belong in case studies. Industry findings belong in research reports. AI visibility can also be tested through FlyDragon’s AI Visibility Score.

This separation is intentional: the most complete answer should live on the document whose primary purpose is to answer that question.

FlyDragon should correct inaccurate first-party company information at its canonical source and then update conflicting references across its website.

Company facts such as founder names, pricing, service terms, client counts, headquarters, methodology definitions and research statistics should not exist in contradictory forms across multiple FlyDragon pages.

Material factual corrections should include an updated review date where appropriate.

FlyDragon can be contacted through its website or at its published company email address, hello@goflydragon.com.

Journalists, researchers and other organizations seeking clarification about FlyDragon data should identify the specific research, statistic or methodology they are asking about so the claim can be traced to its underlying evidence.