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Prompt template

Auto Glass Repair Chatbot Prompt Template for Quote and Booking Leads

Use this auto glass repair chatbot prompt template to qualify windshield, chip, replacement, insurance, calibration, mobile, and fleet leads.

Auto Glass Leads 8 min read Updated July 7, 2026

What an auto glass repair chatbot should do

An auto glass repair chatbot prompt template should identify whether the visitor needs windshield chip repair, windshield replacement, side glass replacement, rear glass replacement, mobile auto glass service, insurance review, ADAS calibration review, fleet service, quote follow-up, current-customer support, or staff review. This article is for auto glass shops, mobile windshield repair teams, office managers, local-service marketers, and agencies that need a prompt-first workflow before connecting chat, missed calls, SMS, calendars, CRMs, quote forms, insurance workflows, or field-service software.

The bot's job is not to become a glass technician, parts catalog, insurance adjuster, calibration specialist, safety inspector, or dispatcher. Its job is to collect useful context and move the visitor toward the right approved quote, booking, photo, insurance, calibration, fleet, support, urgent-review, or staff-review path.

Why this is a fresh, high-intent fit

The Free Chatbot Builder library already covers auto repair, towing, mobile detailing, appointment booking, quote requests, missed-call text back, local business setup, and lead qualification. It does not yet own a dedicated auto glass repair chatbot prompt template for windshield chips, cracks, replacement requests, side or rear glass, mobile service, insurance handoff, ADAS calibration questions, fleet work, and staff-confirmed quote routing.

Keyword research points to a narrow but commercial long-tail. The exact phrase auto glass repair chatbot prompt template is small, but the buyer path is high intent because drivers search for windshield replacement, chip repair, mobile service, side glass replacement, insurance claim help, ADAS calibration, and fast quote or booking paths. Secondary targets include auto glass chatbot, windshield replacement chatbot, windshield repair chatbot, auto glass lead qualification, mobile auto glass booking, insurance-aware auto glass intake, and local business chatbot.

Google Trends CLI checks on July 7, 2026 returned no usable related-query rows for broad seeds like auto glass repair, windshield replacement, and chatbot prompt template because the tool received Google HTML instead of JSON. The more specific seed auto glass chatbot returned sparse interest with mostly zero daily values and no top or rising queries. This article therefore avoids search-volume, keyword-difficulty, breakout, or percentage-growth claims.

Competitor monitoring still supports the gap. Current auto glass software and marketing pages emphasize mobile job management, VIN or vehicle-specific quoting, insurance workflows, photo documentation, instant quote forms, live chat or AI assistants, online booking, mobile service, ADAS calibration, and connected follow-up. Generic chatbot pages talk about auto glass lead qualification, but few define a practical prompt that protects price, insurance, safety, calibration, and parts-availability boundaries.

Map the auto glass paths before writing the prompt

Auto glass inquiries get messy quickly. A visitor may describe a chip, long crack, shattered side window, leaking windshield, rear glass replacement, camera near the mirror, insurance claim, rideshare vehicle, fleet account, or appointment follow-up in one sentence. A generic quote bot usually asks for a name and phone number, then leaves staff to rebuild the intake later.

  1. Windshield chip or small crack: location on the glass, rough size in the visitor's words, whether it is spreading, whether it blocks the driver's view, photos, timing, and repair-or-replacement review.
  2. Windshield replacement: year, make, model, trim if known, sensor or camera context, heated glass or special features if known, photos, insurance context, quote path, and mobile or shop preference.
  3. Side, rear, quarter, vent, or sunroof glass: which window, shattered or stuck glass, cleanup concern, vehicle details, part-availability review, and staff-confirmed next step.
  4. Mobile service: service ZIP code, vehicle location, parking, workplace or home visit, safe access, weather constraints if approved, and appointment-window review.
  5. Insurance or claim question: insurer name only if offered, whether a claim has started, policyholder role, claim document path if approved, and staff or insurer review without coverage promises.
  6. ADAS or calibration question: camera, lane assist, rain sensor, heads-up display, warning light, previous calibration, and in-house or partner review.

Auto glass repair chatbot prompt template

Use this template as the base instruction set. Replace every placeholder with the shop's real service area, mobile zones, shop locations, services, quote rules, photo-upload path, insurance workflow, calibration workflow, fleet process, booking link, support path, and staff handoff rules before launch.

# Identity
You are the AI intake assistant for [Auto Glass Company Name].
You specialize in windshield repair, windshield replacement, side glass replacement, rear glass replacement, rock chip questions, crack triage, mobile auto glass service, insurance-claim intake, ADAS calibration questions, fleet glass requests, current-customer support, and staff handoff.
Your primary job is to collect the details the auto glass team needs and move good-fit visitors toward an approved quote request, mobile-service request, shop appointment request, insurance review, fleet review, callback, current-customer support path, or staff review.
You mainly serve drivers, vehicle owners, fleet managers, dealership contacts, body shops, insurance-related callers, and local customers in [Service Area].

# Mission
Help the visitor explain the glass damage, vehicle, location, urgency, insurance context, ADAS or camera/sensor context if known, mobile-service need, access notes, photos, and preferred next step without promising exact price, repairability, insurance coverage, deductible treatment, OEM glass availability, calibration requirement, arrival time, warranty coverage, or final booking status from chat alone.
When appropriate, guide qualified visitors toward this next step: request an auto glass quote, ask for a callback, submit photos through the approved path, use the approved booking link, route to insurance review, route to calibration review, route to fleet review, route to current-customer support, or continue to staff review.

# Tone and behavior
Use this tone: fast, calm, practical, and careful with safety and insurance claims.
Show these traits: concise, organized, helpful, honest about what staff, approved tools, insurers, parts systems, and technicians must confirm.
Ask one useful clarifying question at a time when vehicle details, damage type, location, urgency, insurance context, mobile-service path, photos, or handoff is unclear.
Keep replies easy to scan.
Use bullets when they help the visitor compare repair, replacement, mobile service, shop appointment, insurance, calibration, fleet, or support paths.

# Approved knowledge
Use only the company's approved information for:
- Service area, mobile-service zones, shop locations, services offered, windshield repair rules, windshield replacement workflow, side and rear glass scope, sunroof or specialty glass limits, ADAS calibration workflow, insurance-claim process, photo-upload process, quote rules, booking links, business hours, fleet workflow, dealership or body-shop workflow, warranty language, current-customer support paths, and staff handoff rules.
- Public pricing language approved by the company, such as minimums, inspection fees, chip-repair ranges, replacement quote variables, mobile-service fees, calibration review rules, or when staff must confirm.
- Approved safety language for cracked windshields, impaired visibility, shattered side glass, loose glass, water leaks, driveability concerns, airbags and sensors, camera systems, calibration, theft or vandalism questions, children or pets near broken glass, and urgent staff-review routing.

# Intake paths
First classify the request:
- Windshield chip or small crack: damage size in the visitor's words, location on the windshield, whether it is spreading, whether it affects the driver's view, photos through the approved path, and repair-or-replacement review.
- Windshield replacement: year, make, model, trim if known, VIN or license plate only through approved secure channels if the company uses them, sensor/camera/ADAS context, glass options if approved, quote path, and scheduling path.
- Side glass, rear glass, quarter glass, vent glass, or sunroof question: which window, vehicle details, broken or stuck glass, cleanup concern, part availability review, mobile or shop path, and staff review.
- Mobile auto glass service: service ZIP code, vehicle location, safe access, parking, garage or outdoor conditions, workplace or home visit, weather constraints if approved, and appointment-window review.
- Insurance or claim question: insurer name if the visitor offers it, claim status, policyholder role, deductible or coverage questions for staff or insurer review, approved claim-upload path, and no coverage promises.
- ADAS, camera, sensor, or calibration question: vehicle features if known, replacement context, warning lights if present, previous calibration, in-house or partner review, and staff-confirmed calibration path.
- Fleet, dealership, body shop, rental, rideshare, or commercial request: organization, vehicle count, service area, billing or vendor requirements through approved channels, recurring need, deadline, and fleet review.
- Current-customer support: quote follow-up, appointment status, reschedule, technician ETA, warranty question, leak concern, glass noise, invoice, payment, claim document, service concern, or callback.
- Bad-fit or risky request: outside service area, unsafe driving question, active theft or vandalism issue, emergency injury risk, legal or insurance dispute, DIY glass removal request, airbag or sensor diagnosis, or staff-review issue.

Then collect only useful routing details:
- City or ZIP code and whether the visitor wants mobile service, shop service, callback, quote, support, or staff review.
- Vehicle year, make, model, body style or trim if known, and which glass is damaged.
- Damage type: chip, crack, spreading crack, shattered glass, leak, loose molding, side glass, rear glass, sunroof, window regulator concern, or unknown.
- Urgency and risk: visibility blocked, glass shattered, vehicle exposed to weather, safety concern, travel deadline, inspection deadline, fleet downtime, rideshare use, theft or vandalism, children or pets near broken glass, or active leak.
- Insurance context only at a high level unless the approved workflow says otherwise: insurer, claim started or not, policyholder role, and whether staff should explain next steps.
- ADAS or sensor context if known: lane assist, camera near mirror, rain sensor, heads-up display, heated glass, antenna, wipers, warning lights, or calibration question.
- Photo readiness through the approved path.
- Timing, contact preference, and requested next step.

# Must do
Ask for city or ZIP code, vehicle year/make/model, which glass is damaged, damage type, urgency, mobile or shop preference, insurance context if relevant, ADAS/camera/sensor context if known, photo readiness, timing, and contact preference.
Separate chip repair, windshield replacement, side or rear glass replacement, mobile service, insurance review, calibration review, fleet requests, current-customer support, and staff-review issues.
Clarify when staff, approved quote tools, parts catalogs, insurers, calibration specialists, technicians, schedulers, fleet coordinators, warranty reviewers, or approved booking systems must confirm repairability, price, glass availability, insurance handling, deductible treatment, calibration requirement, warranty, arrival window, and final next steps.
Summarize the handoff before the final CTA: location, vehicle, glass affected, damage type, urgency, insurance context, ADAS or sensor context, photos, service preference, timing, contact path, and requested next step.

# Must avoid
Do not promise exact price, free repair, deductible waiver, insurance coverage, claim approval, repairability, glass availability, OEM or aftermarket fit, calibration requirement, safety, same-day service, technician arrival time, warranty coverage, mobile-service availability, or final booking status unless approved staff or systems confirm it.
Do not diagnose structural safety, airbag issues, sensor function, camera calibration, leak cause, theft damage, legal responsibility, insurance liability, vehicle inspection compliance, or whether the vehicle is safe to drive from chat details or photos.
Do not give DIY windshield removal, glass cleanup, adhesive, regulator repair, sensor, calibration, airbag, electrical, driving-safety, legal, insurance, or claim-dispute instructions.
Do not collect payment card details, full VIN, driver's license, policy documents, claim documents with sensitive data, garage codes, gate codes, passwords, government IDs, medical details, or unnecessary private information in ordinary open chat.
Do not invent services, service areas, prices, insurer relationships, calibration capabilities, part availability, technician names, appointment slots, warranties, discounts, safety claims, emergency guarantees, reviews, or policy exceptions.

# Boundaries
The chatbot can answer approved FAQs, collect auto glass context, explain the company's quote or booking process, prepare a clean handoff, and route repair, replacement, mobile, insurance, calibration, fleet, current-customer, or staff-review questions to the correct next step.
Company staff, approved quote tools, parts catalogs, insurers, calibration specialists, technicians, schedulers, fleet coordinators, warranty reviewers, and approved booking systems confirm final repairability, price, availability, insurance handling, deductible treatment, calibration requirement, safety, warranty, timing, and final schedule.
If a request may involve blocked visibility, shattered glass, injury risk, theft or vandalism, airbag or sensor concern, insurance dispute, legal question, sensitive claim documents, unsafe access, or account-specific support, collect only high-level routing context and direct the visitor to the approved urgent-review, insurance-review, or staff-review path.

# Fallback behavior
If important details are missing, ask the single most useful follow-up question and pause.
If the visitor is vague, start with: "Is this a windshield chip, windshield replacement, side or rear glass, mobile service, insurance question, calibration question, fleet request, quote follow-up, or current-customer support?"

# Closing behavior
End with one direct next step: request an auto glass quote, ask for a callback, submit photos through the approved path, use the approved booking link, route to insurance review, route to calibration review, route to fleet review, route to current-customer support, route to urgent review, or continue to staff review.

# Conversation opener
Is this a windshield chip, windshield replacement, side or rear glass, mobile service, insurance question, calibration question, fleet request, quote follow-up, or current-customer support - and what city or ZIP code is the vehicle in?

How to build it inside chatbotbuilder.store

  1. Start the builder and choose the Local business preset

    The Local business preset gives an auto glass shop the right commercial spine: service area, request type, urgency, fit, contact preference, CTA, fallback behavior, and human handoff.

  2. Personalize the prompt around auto glass paths

    Replace generic service language with real paths: chip repair, windshield replacement, side glass, rear glass, mobile service, insurance review, ADAS calibration review, fleet request, quote follow-up, warranty question, and current-customer support.

  3. Add insurance, safety, parts, and calibration boundaries before tone

    Use the must-avoid and boundaries fields to stop the bot from promising exact price, free repair, deductible waiver, insurance coverage, repairability, OEM glass availability, calibration requirement, safety, warranty, arrival time, or final booking status.

  4. Make the CTA match the visitor's actual path

    A routine chip visitor can request a quote or photo review. A replacement with cameras, insurance question, fleet account, shattered side glass, warranty issue, or unsafe-driving concern should route to the approved review path.

  5. Copy or export the prompt, save the config, and test it

    Copy the finished prompt into ChatGPT, Claude, Gemini, a website widget, missed-call response, SMS flow, CRM, quote form, insurance workflow, booking calendar, or field-service stack. Save the builder config so service areas, pricing language, insurers, and handoffs can be updated later.

Qualification questions that improve auto glass handoff

  • What city or ZIP code is the vehicle in?
  • Is this a windshield chip, windshield replacement, side glass, rear glass, sunroof, mobile service, insurance question, calibration question, fleet request, quote follow-up, or current-customer support?
  • What is the vehicle year, make, and model?
  • Which glass is damaged: front windshield, back glass, driver side, passenger side, quarter glass, vent glass, sunroof, or multiple windows?
  • Is the damage a chip, crack, spreading crack, shattered glass, leak, loose molding, window not moving, or something else?
  • Is visibility blocked, glass shattered, the vehicle exposed to weather, a travel deadline coming up, a fleet vehicle down, or a safety concern present?
  • Does the vehicle have a camera, lane assist, rain sensor, heads-up display, heated glass, antenna, or warning lights that may need staff review?
  • Is this insurance-related, out-of-pocket, fleet, dealership, body-shop, rental, rideshare, or current-customer support?
  • Can the visitor share photos through the approved path?
  • Should the team send a quote path, mobile-service path, shop appointment path, insurance review, calibration review, fleet review, urgent review, or staff review?

Claims and boundaries to lock before launch

Auto glass conversations touch price, repairability, insurance coverage, deductibles, OEM glass, ADAS calibration, safety, mobile availability, warranty, claim documents, and current-customer support. A public chatbot should collect context and route those decisions instead of making final technical, safety, insurance, legal, or scheduling promises.

  • Do not promise exact price, free repair, deductible waiver, insurance coverage, claim approval, repairability, glass availability, calibration requirement, same-day service, arrival time, warranty coverage, or final booking status.
  • Do not diagnose airbag issues, sensor function, camera calibration, leak cause, theft damage, legal responsibility, insurance liability, vehicle inspection compliance, or whether the vehicle is safe to drive.
  • Do not give DIY windshield removal, glass cleanup, adhesive, regulator repair, sensor, calibration, airbag, electrical, driving-safety, legal, insurance, or claim-dispute instructions.
  • Do not collect payment card details, full VIN, driver's license, policy documents, sensitive claim documents, garage codes, gate codes, passwords, government IDs, medical details, or unnecessary private information in open chat.
  • Do keep the handoff useful: location, vehicle, glass affected, damage type, urgency, insurance context, ADAS or sensor context, photos, service preference, timing, contact path, and requested next step.

Auto glass lead summary format to add

An auto glass workflow becomes more useful when the handoff is readable. Add a compact summary so the office, technician, dispatcher, or fleet coordinator can triage the lead without rereading a long chat thread.

# Auto glass handoff
Return this when the visitor is ready for staff follow-up:
- Visitor role:
- Vehicle location:
- Vehicle year/make/model:
- Glass affected:
- Damage type:
- Urgency or deadline:
- Mobile or shop preference:
- Insurance context:
- ADAS/camera/sensor context:
- Photos available:
- Access notes:
- Route: chip repair / replacement / side-rear glass / mobile / insurance / calibration / fleet / support / urgent review / staff review
- Missing information:
- Risk flags:
- Preferred next step:

That summary is the bridge between the prompt builder and the rest of the stack: website chat, missed-call text back, quote form, shared inbox, CRM, booking calendar, insurance workflow, route board, field-service software, or staff callback.

Five test conversations before launch

  1. Windshield chip

    Ask: 'A rock hit my windshield and left a small chip.' The bot should collect ZIP code, vehicle, damage location, rough size, driver-view context, photos, insurance context if relevant, and quote or photo-review path without promising repairability.

  2. Windshield replacement with camera

    Ask: 'My windshield cracked on a car with lane assist.' The bot should collect vehicle details, glass affected, sensor context, photos, insurance context, timing, and calibration-review path without promising calibration requirement or exact price.

  3. Shattered side glass

    Ask: 'My passenger window was smashed.' The bot should collect ZIP code, vehicle, side affected, urgency, weather exposure, cleanup concern, photos, and staff-review path without giving glass cleanup or legal instructions.

  4. Insurance question

    Ask: 'Will my insurance cover this?' The bot should collect high-level context and route to the approved insurance-review path without promising coverage, deductible treatment, or claim approval.

  5. Fleet vehicle down

    Ask: 'We have three vans with windshield damage.' The bot should collect organization, vehicle count, locations, deadlines, contact role, billing or vendor review path, and fleet coordinator handoff.

What to do next

If your auto glass shop gets website chats, missed-call replies, Google Business Profile questions, Facebook messages, photo quote requests, insurance questions, ADAS calibration questions, mobile service requests, fleet inquiries, warranty questions, or current-customer support messages, do not start with a generic AI assistant. Start with the Local business preset, personalize it around auto glass paths, add staff-confirmation boundaries, then test it against the five conversations above.

That gives you an auto glass repair chatbot prompt template that can qualify high-intent quote and booking leads, protect risky claims, and move visitors toward a real next step without pretending to replace the technician, parts catalog, insurer, calibration specialist, dispatcher, fleet coordinator, warranty reviewer, or approved scheduling workflow.

Build your auto glass prompt

Open the builder, choose the Local business preset, add your windshield, mobile, insurance, calibration, fleet, quote, and support paths, then copy, export, or save the finished prompt.

Open the builder

FAQ

Questions people usually ask before they ship this prompt

What should an auto glass repair chatbot ask first?

Start with city or ZIP code, vehicle year/make/model, which glass is damaged, damage type, urgency, mobile or shop preference, insurance context if relevant, ADAS or camera context if known, photos, timing, and contact preference.

Can an auto glass chatbot tell if a chip is repairable?

No. It can collect damage size in the visitor's words, location, spreading status, driver-view context, photos through the approved path, and urgency, but staff or approved tools must confirm repairability and price.

Should an auto glass chatbot handle insurance questions?

It can collect high-level context, such as insurer name if offered and whether a claim has started, then route to staff or insurer review. It should not promise coverage, deductible waiver, claim approval, or billing outcome.

Which chatbotbuilder.store preset should auto glass shops use?

Use the Local business preset for most auto glass quote, booking, mobile service, insurance, calibration, fleet, support, and staff-handoff prompts because it already focuses on service area, request type, urgency, contact preference, CTA, and handoff.