One AI chatbot for every location you run

Hotel groups, franchises, dental groups, property portfolios — your customers ask location-specific questions, and most chatbots force you to choose between one bot that mixes locations up or a separate bot per branch. Hyperleap keeps a single knowledge base with per-location overlays, so every branch answers correctly from one AI agent.

Quick Answer

An AI chatbot for multi-location businesses answers customer questions correctly per branch — hours, availability, directions, local details — from one shared knowledge base instead of a separate bot per location. Hyperleap AI does this with proprietary Hierarchical RAG (a Pro/Max add-on): shared brand knowledge plus per-location overlays, scaling to 100+ locations, across website chat, WhatsApp, Instagram DM, and Facebook Messenger in 100+ languages. Plans from $40/month with a 7-day free trial.

Why multi-location breaks ordinary chatbots

Upload documents for twelve branches into a standard chatbot and the retrieval layer sees twelve near-identical files. Ask about the “downtown clinic” and it may answer from the airport branch’s document — the chunks look almost the same to a vector search. The usual workaround is one bot per location, which multiplies cost and lets shared content drift out of sync.

Hyperleap’s Hierarchical RAG was built for exactly this: it first identifies which location’s knowledge the question is about, then retrieves deeply within it — instead of hoping the right chunk floats to the top.

One shared knowledge base

Brand policies, services, and FAQs live once — every location inherits them automatically.

Per-location overlays

Hours, addresses, amenities, staff, and local pricing sit in location-specific sources.

Hierarchical retrieval

Proprietary Hierarchical RAG routes each question to the right source — so near-identical documents ("Downtown branch" vs "Airport branch") don’t get confused. Pro/Max add-on.

Instant propagation

Change shared content once, it applies everywhere. Change one location, only that location updates.

Proven on a real multi-property chain

Jungle Lodges & Resorts, a Karnataka government tourism enterprise running a portfolio of eco-resort properties, deployed Hyperleap across its properties and captured 3,300+ leads in three months, with 35% of inquiries arriving after hours — traffic that previously went unanswered. One agent, every property, each answered with its own details.

Read the Jungle Lodges case study

How the alternatives compare

Factual differences that matter when you run more than one location.

 Hyperleap AIPodiumChatbase / SiteGPT
Multi-location knowledge modelShared base + per-location overlays (Hierarchical RAG, Pro/Max add-on)Per-location inboxesFlat document upload; no location model
PricingSelf-serve, from $40/moCustom quote via sales teamSelf-serve tiers
ChannelsWebsite, WhatsApp, Instagram DM, MessengerSMS/webchat-centric, US-focusedWebsite-centric
Languages100+ languagesEnglish-centricVaries by plan

Full head-to-head: Hyperleap vs Podium · Chatbase alternatives

Frequently asked questions

How does one AI chatbot handle multiple business locations?
With Hyperleap AI, all locations share a single knowledge base, and location-specific information (hours, addresses, amenities, staff, pricing differences) sits in per-location knowledge sources. The proprietary Hierarchical RAG retrieval routes each question to the right source, so "what time does the Austin branch open" and "does the downtown property have parking" get the correct per-location answer from one chatbot — no need to build and maintain a separate bot per location.
Do I need a separate chatbot for each location or franchise?
No. Running one bot per location multiplies setup, content maintenance, and cost — and shared information (brand policies, services, FAQs) drifts out of sync across copies. A multi-location architecture keeps shared knowledge in one place and overlays location specifics, so an update to a company-wide policy propagates to every location instantly.
What happens when information changes at one location?
You update that location’s knowledge source and the change takes effect for that location only. Company-wide changes are made once in the shared knowledge base and apply everywhere. This is the core maintenance advantage over per-location bots or hard-coded flow builders.
Which types of multi-location businesses does this work for?
Hotel and resort groups, franchises, dental and medical groups, clinic chains, property management portfolios, real estate brokerages with multiple offices, gym chains, and restaurant groups. Any business where customers ask location-specific questions (hours, availability, directions, local pricing) but the brand wants one consistent AI agent.
How much does a multi-location AI chatbot cost?
Hyperleap AI plans start at $40/month (Plus), with Pro at $100/month and Max at $200/month — all with a 7-day free trial. Hierarchical RAG, the multi-location retrieval add-on, is available on Pro and Max plans for $40/month plus 2x credits per request. That is typically far less than licensing separate bots per location or an enterprise custom-quote platform.
How is Hyperleap different from Podium for multi-location businesses?
Podium is a US-focused local-business platform sold through a sales team on custom-quote pricing, organized around a shared inbox, phones, and reviews. Hyperleap AI is self-serve with transparent pricing from $40/month, supports 100+ languages, runs natively on website chat, WhatsApp, Instagram DM, and Facebook Messenger, and models multi-location knowledge directly — one knowledge base with per-location overlays — rather than treating each location as a separate inbox.

Every location answered. One agent to maintain.

Stop choosing between a bot that mixes up your branches and a bot per branch. Go live in minutes, scale to 100+ locations.

7-day free trial on all plans. Cancel anytime.

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AI customer service agents that answer FAQs, capture leads, and book appointments across Website, WhatsApp, Instagram, and Facebook Messenger.