Plan your next location with data, not gut

    AI-powered city, neighborhood and address scoring for multi-location operators. From $99 per location.

    30+ countries
    60-second reports
    Compare 1–10 candidates
    Last updated · Reviewed by Nicholas Todeschini

    Business expansion planning is the strategic process of choosing where, when and how to open your next locations. It combines market sizing, city ranking, neighborhood selection and address-level site evaluation — typically supported by location intelligence software so that decisions are made on data, not intuition.

    WhereToOpen.ai is AI-native expansion planning for SMBs and small chains. Compare candidate cities, score neighborhoods and run full site selection reports on 1–10 addresses for $99 each — no enterprise contract, no GIS analyst, no 4-week wait.

    Process

    6-phase expansion planning framework

    The framework used by professional retail expansion teams — now compressed into a self-serve AI workflow.

    1. Strategic framing
    Define expansion goal: new geography, new format, defensive moat or revenue growth?
    2. Market sizing
    Estimate addressable market and demographic match in each candidate city.
    3. City ranking
    Score cities on demand, competition, rent, regulation and operational fit.
    4. Neighborhood selection
    Within each shortlisted city, identify 2–3 candidate neighborhoods.
    5. Address-level scoring
    Run a full site selection report on 5–10 addresses per neighborhood.
    6. Financial validation
    Confirm rent-to-revenue, build-out and break-even economics for finalists.
    Pricing fit

    Which tier fits your expansion?

    Starter
    $99
    1 report · single address evaluation
    Best for: validating one specific address before signing a lease.
    Most popular
    Standard
    $249
    3 reports · head-to-head comparison
    Best for: choosing between 3 shortlisted neighborhoods or addresses.
    Pro
    $790
    10 reports · multi-city expansion
    Best for: planning 3–5 new locations across multiple cities.

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    FAQ

    Frequently asked questions

    What is business expansion planning?
    Business expansion planning is the strategic process of choosing where, when and how to open additional locations. For multi-location operators, it combines market sizing, candidate-city ranking, neighborhood selection within each city, and address-level site selection — typically supported by location intelligence software.
    How do I choose the next city to expand into?
    Rank candidate cities on five criteria: (1) demographic match to your existing customer base, (2) competitive density in your category, (3) commercial rent vs your unit economics, (4) regulatory friction, and (5) talent and supply availability. WhereToOpen.ai runs this comparison across any cities you specify.
    Should I expand in my home market or a new city first?
    Generally, prove the model in 2–3 nearby locations before crossing into a new market — operational complexity, brand recognition and supply chain are easier in your home region. But if your home market is saturated or shrinking, a near-adjacent city often beats a fifth same-city location.
    How many candidate locations should I evaluate?
    Best practice: short-list 5–10 candidates per city, run a location intelligence report on each, and only proceed to an in-person walk-through on the top 2–3. This keeps decision quality high while keeping cost and time low.
    What's the difference between expansion planning and site selection?
    Expansion planning is the strategic ‘which city / which neighborhood / when / how many' question. Site selection is the tactical ‘which exact address' question. Most expansion projects do both — first ranking cities, then evaluating addresses within the chosen city.
    Can WhereToOpen.ai compare multiple expansion candidates?
    Yes. The Standard tier ($249) includes 3 reports — ideal for comparing 3 candidate addresses head-to-head. The Pro tier ($790) includes 10 reports for multi-city expansion planning.

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