Skip to main content

Documentation Index

Fetch the complete documentation index at: https://docs.servicebooked.ca/llms.txt

Use this file to discover all available pages before exploring further.

The AI is generally smart, but it doesn’t know YOUR business out of the box. The Knowledge Base is where you teach it the things only you know — your pricing tiers, your service area edge cases, what materials you bring, your weekend policy, your warranty terms. Every entry you add makes the AI’s responses more accurate and on-brand.

​
What’s already there (auto-trained)

When you set up your account, we use your business profile as the AI’s foundation:
  • Your services (from onboarding)
  • Your business hours
  • Your service area
  • Your AI tone / voice (set in Settings → Business)
  • Your description (“what does this business do”)
If you connected your website during onboarding, we crawled it and extracted FAQs, service descriptions, and pricing pages — so the AI has a head start without you typing anything.

​
What you should add

Anything you find yourself saying on calls or texts. Common candidates:
  • Pricing tiers — “basic install starts at 499;premiumwithmaterialsis499; premium with materials is 1,499”
  • Service area edges — “we cover up to 30 miles from downtown; outside that we charge a $50 trip fee”
  • Materials policy — “we provide all parts unless customer specifies brand”
  • Emergency pricing — “after-hours calls are 1.5× day rate”
  • Warranty terms — “30-day labor warranty on all installs”
  • What we don’t do — “we don’t service commercial properties” or “we don’t take jobs under $200”
  • Common objections — “yes, we accept credit cards”; “yes, we’re insured”; “yes, we’ll bring shoe covers”
The rule of thumb: if a customer ever asked you the same question twice, write a knowledge-base entry for it.

​
How the AI uses entries

When the AI is composing a reply to a customer (call transcript, text, chat), it:
  1. Reads the customer’s message
  2. Searches the knowledge base for relevant entries (semantic search, not keyword)
  3. Pulls the top matches into context
  4. Composes the reply using those matches + your general business profile
So when a customer asks “do you take credit cards?”, the AI finds your “yes, we accept Visa/MC/Amex” entry and weaves it into the reply naturally.

​
Format

Each entry has:
  • Question — how a customer would phrase the question (or topic). E.g., “What’s your service area?”
  • Answer — your business’s response, in plain language. E.g., “We cover all of Ottawa, Kanata, Barrhaven, and Nepean. Outside those areas, we charge a $50 trip fee. Service to communities south of Highway 417 may have a longer scheduling window.”
  • Tags (optional) — for organization; e.g., pricing, service-area

​
How many entries should I have?

Start with 10–20. The most common questions you get. Don’t try to write a knowledge base of 200 entries on day one — it’s exhausting and a lot of them won’t matter. Watch your AI’s actual replies for the first few weeks. When you see a reply where the AI guessed wrong or said something generic, that’s your signal to add an entry. Iterate.

​
Next

Add a knowledge-base entry

Walkthrough — write your first entries.