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Regional Airbnb Street-Level Intelligence

Regional Airbnb Street-Level Intelligence

Generate a regional Airbnb rental market intelligence report for any named town, paired with a matching "premium data-intelligence" PowerPoint deck. Goes beyond city-level averages with street-level investment ranking, and flags demand other tools miss — traveling workers, medical staff, events. Covers: platform data comparison with discrepancy-explainer section, demand segmentation, landlord profiling, micro-location analysis, strategic recommendations, and a required AI-assistance disclaimer.
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Regional Airbnb Strategic Report Generator

Turn a single town name into a complete Airbnb / short-term-rental market intelligence package — a written report and a matching PowerPoint deck — backed by real, cited data rather than filler. Works in Codex and Claude — this skill runs in both, and should work in any similar AI agent that can write and run code and hand back a file. It doesn't depend on any tool or file that's specific to one platform.

What it does

Give it a town or region (e.g. "Dubbo NSW Australia," "Queenstown, New Zealand"), and it will:

  1. Research the market — pulls current platform data (AirDNA, AirROI-style stats), local infrastructure/hospital/construction projects, council events strategies, property market data (including flood studies, planning maps, and precinct-level commentary), and public sentiment.
  2. Write a structured market intelligence report covering:
    • Executive summary with headline stats
    • Platform data comparison (and why sources disagree — geography, sample period, definitions)
    • Demand deep-dives: short-term/construction workers, medical & healthcare staff, events & visitor traffic
    • Supply-side analysis: property type mix, landlord/operator profile
    • Micro-location & street-level analysis — precinct and street-level breakdown of Airbnb, long-term rental, and capital-growth potential, with a ★–★★★★★ rating system and red-flag areas clearly called out
    • Public & social sentiment analysis
    • Strategic implications and recommendations
  3. Builds a matching PowerPoint deck (13–16 slides) in a premium dark navy/gold data-intelligence style — numbered section navigation (01–07), native charts, ranked location tables, callout-box motifs — ready to download and present.
  4. Flags every AI-generated figure with a built-in disclaimer so nothing is mistaken for verified fact — including an explicit note wherever street-level evidence is too thin to support a confident ranking, rather than inventing one.

Sample input

"Create an Airbnb market report for Dubbo NSW 2026"

Sample output

Where the data comes from

Every report ends with a sources line naming exactly what was used for that town. For example, a Dubbo NSW report drew on:

AirDNA, AirROI, Dubbo Regional Council (Events Strategy, Macquarie River Flood Study), Western NSW Local Health District, NSW Ministry of Health, EnergyCo (regional energy zone data), relevant infrastructure developers, Airbnb NSW policy statements, NSW Data.gov.au (flood study data), and local community commentary (e.g. Homely.com.au).

Source types typically include:

  • STR platform data — AirDNA, AirROI (occupancy, ADR, listing counts, revenue growth)
  • Local/state government — council events strategies, flood studies and planning data, health infrastructure programs, official STRA policy
  • Infrastructure & industry bodies — named developers and agencies behind local construction, energy, or health projects
  • Community sources — local forums and resident commentary, used only for precinct-level colour (e.g. "Street X is considered quiet and family-friendly") and always flagged as anecdotal, never treated as verified fact

Every source is cited inline in the written report. Figures reflect the most recent available snapshot at time of writing — since platforms often disagree with each other, the report treats listing counts and rates as directional, not exact, and says so explicitly rather than picking one number and presenting it as ground truth.

Use cases

  • Scouting a new regional market — down to the precinct or street level — before investing in short-term rental property
  • Building a pitch deck for a local STR management/services business
  • Preparing council or investor briefings on a town's visitor-economy dynamics
  • Comparing two or three regional towns side by side before choosing where to expand
  • Narrowing from "which town" to "which street" once a target market is chosen

FAQs

Does it work for any town, or just Australian ones?
It's tuned for regional Australian towns (NSW-style STRA regulation, AirDNA/AirROI data conventions, council flood/planning data) but will attempt any location — data depth will vary based on what's publicly available.

Where does the data come from?
Public sources only — platform market-data providers (AirDNA, AirROI), council/government publications (events strategies, flood studies, planning data), and news coverage, all cited inline. See "Where the data comes from" above for a worked example. It does not fabricate precise figures; where data is thin — including at street level — it says so explicitly and uses clearly labeled ranges/estimates or precinct-level analysis instead of inventing specifics.

Does it really go down to street level?
Yes, wherever reliable public evidence supports it — it will name specific streets or precincts and rate them for Airbnb suitability, long-term rental demand, and capital growth. Where address-level data (e.g. crime, exact sale prices) isn't publicly available, it says so and stops at the precinct level rather than guessing.

Can I get just the report, or just the deck?
By default you get both, since they're designed as a paired deliverable — say so up front if you only want one.

Is the data verified?
No — this tool is AI-assisted research and drafting from public sources. Every report and deck includes a disclaimer, and figures, dates, named projects, and location rankings should be independently verified — ideally with a local buyer's agent or property manager — before being used for investment or business decisions.

Can I ask for a different visual style?
Yes — the dark navy/gold styling is the default, but you can request a different palette or format.