Website + lead capture
A clearer website, service pages, click-to-call paths, forms, booking routes, and trust signals that help visitors take the next step.
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what you get
See what you pay for and how it works.
This is not “AI magic”. YellowMarket builds a concrete lead system: a better website, faster call capture, booking, follow-up, and simple documentation so you know what was installed.
Simple version: YellowMarket makes the business easier to trust, easier to contact, and harder to ignore when a new lead comes in.
what you pay for
The premium package connects the customer journey, not just one widget.
The valuable part is the wiring: website trust, phone behavior, business knowledge, calendar availability, lead capture, follow-up, routing, and reporting. This page shows what the client is actually buying.
AI receptionist
Answers inbound or missed calls, qualifies the request, checks rules, books or transfers, then sends the owner a transcript and summary.
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Business brain + follow-up
The system is given services, hours, locations, FAQs, escalation rules, tone, and follow-up rules so responses stay useful and controlled.
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AI receptionist explained
What happens when a customer calls.
A real deployment is not one prompt. It is a controlled call flow connected to the business calendar, lead rules, owner phone, CRM/SMS, and knowledge base.
1. Call routing decisionOption A: AI answers immediately. Option B: phone rings the business first, then forwards to AI after no answer. Option C: after-hours only.
2. Context injectionThe agent receives business name, services, service area, hours, pricing rules, FAQs, emergency rules, calendar rules, and escalation contacts.
3. Conversation + toolsThe agent speaks naturally, handles interruptions, asks intake questions, checks availability, books a slot, sends SMS, or transfers with context.
4. Owner handoffAfter the call: transcript, summary, lead quality, urgency, contact info, and next action go to the owner/CRM.
Sources checked: Retell inbound calls + inbound webhook + appointment booking + pricing docs; Vapi appointment assistant docs; Bland AI receptionist/pricing; Synthflow receptionist and booking docs.
deployment modes
Three ways to install it, depending on risk and call volume.
This is what clients actually need to see: they can start safe with missed-call rescue, then move to a full receptionist once the script is proven.
☎️ Missed-call only
Business phone rings normally first. If nobody answers after the chosen delay, the call forwards to AI or triggers SMS recovery.
Best for: owners nervous about AI answering everything.
🕒 After-hours front desk
AI answers evenings, weekends, lunch breaks, or staff shortage windows. It books, takes messages, or escalates urgent calls.
Best for: local services losing leads outside working hours.
⚡ Full AI receptionist
AI answers every inbound call, handles common requests, checks calendar, qualifies leads, and transfers only when human judgment is needed.
Best for: high call volume or expensive missed opportunities.
technology used
The tools stay behind the system.
Clients should not need to understand every vendor. They need to know what each layer does, who controls it, and what it changes for their business.
Business brain
OpenHuman direction. Stores business context, services, FAQs, rules, memory, and integrations so the assistant acts like a connected business helper, not a generic bot.
Voice layer
Retell direction. Handles phone conversations, inbound routing, booking logic, transcripts, analytics, and testing for the AI receptionist layer.
Automation glue
n8n / webhooks direction. Connects calls, forms, calendars, SMS, email, CRM, and owner alerts so the lead moves to the right next action.
setup timeline
How long it takes to put in place.
For a simple local business, the first working version is measured in hours/days, not months. The long part is not “AI”; it is testing edge cases and making the business rules precise.
Day 0
Collect contextWebsite, services, prices/ranges, business hours, service area, FAQs, booking rules, emergency rules, staff numbers, calendar access.
Day 1
Build first receptionistCreate voice agent, greeting, tone, forbidden claims, intake questions, lead qualification, fallback and transfer rules.
Day 2
Connect toolsPhone number or call forwarding, calendar availability, SMS/email notification, CRM or simple owner alert, transcript storage.
Day 3
Test 20–50 callsNormal call, angry caller, silence, interruption, accent/noise, price question, urgent call, wrong number, booking conflict, transfer failure.
Week 1
Soft launchStart with after-hours or missed-call mode, review transcripts, tune prompt, then expand if the agent handles real calls safely.
what we need from you
Small input from the owner. Clear setup from YellowMarket.
The client does not need to “understand AI”. They need to provide the business rules we use to make the system useful and safe.
Business basics
Business name, services, service area, hours, current website, Google profile, phone number, email, and booking preference.
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Customer rules
Common questions, emergency rules, what counts as urgent, what should be transferred, what should never be promised, and pricing boundaries if needed.
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Optional access
Calendar, CRM, email/SMS, website hosting, or Google profile access only when that connection is needed for the agreed scope.
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permissions & safety
The owner stays in control.
AI should not get unlimited access. YellowMarket connects only what the system needs, documents what is connected, and keeps sensitive actions approval-gated when required.
Scoped accessOnly the tools required for the package are connected: phone, calendar, email/SMS, CRM, or website.
Clear guardrailsThe agent receives forbidden claims, transfer rules, emergency rules, pricing limits, and escalation contacts.
Human approval where neededQuotes, refunds, contracts, payment decisions, legal/medical advice, or sensitive customer actions can remain human-only.
Launch after testingThe system is tested with real scenarios before going live: noise, interruptions, wrong numbers, urgent calls, booking conflicts, and transfer failure.
concrete workflows
Solutions that answer real business problems.
These are the systems a prospect can understand immediately. Each one maps to a lost-money moment: missed calls, slow quotes, weak follow-up, bad intake, or poor booking.
AI receptionist / missed-call rescue
For businesses where one unanswered call can become a lost job, consultation, booking, or inspection.
01
Call enters the routing ruleAnswer immediately, after-hours only, or after 3–4 rings/no-answer forwarding depending on client preference.
02
Agent answers with business contextNatural voice, company greeting, services, hours, service area, FAQs, pricing boundaries, and escalation rules.
03
Action happensBook appointment, take message, send SMS, qualify urgency, transfer to human, or create owner alert with transcript.
Quote / intake assistant
For contractors and service pros who lose jobs because estimates and intake take too long.
01
Photo, voice note, or form comes inThe system collects the minimum details needed to understand the request.
02
Draft quote / intake summary preparedThe owner receives a structured draft to review, not a blank page.
03
Follow-up is scheduledIf the prospect does not answer, a polite follow-up can trigger without relying on memory.
Review + reactivation loop
For businesses with good real-world work but weak online proof and old leads never followed up.
01
Customer finishes a job or appointmentA review request is sent at the right moment, not weeks later.
02
Proof is reused on the siteReviews, service language, and FAQs become stronger conversion material.
03
Next lead trusts fasterBetter proof reduces hesitation before calling, booking, or requesting an estimate.
lost revenue estimator
Estimate the leak before buying anything.
Use conservative assumptions. If the loss is small, do not buy a big automation package. If the leak is larger than the package cost, the next fix becomes obvious.
monthly estimate
$3,000
Based on 10 missed leads × $1,000 value × 30% close rate.
Missed leads / month10
Average value$1,000
Close rate30%
Potential yearly leak$36,000
This is an estimate, not a guarantee. Real results depend on demand, offer, speed, close rate, margins, seasonality, and how consistently the system is used.
Calls missed, forms answered late, quotes forgotten, messages not followed up.
Use gross revenue per won job/client, not lifetime fantasy value.
Use conservative close rate on recovered leads.
If estimated monthly leak is smaller than the package, start with website/trust. If the leak is larger, test receptionist or missed-call rescue first.
Call volume, average deal value, close rate, staff availability, booking friction, and whether the owner reviews transcripts weekly.
what you pay for
The premium scope should feel concrete before payment.
This is the checklist a business owner can understand. No vague “AI strategy” line item — every item has a visible function.
Revenue leak auditMap missed calls, slow response, weak trust, booking friction, and follow-up gaps.
includedConversion website / landing systemClear offer, proof, service sections, click-to-call, intake route, and SEO basics.
coreAI receptionist buildVoice, greeting, context, intake script, call routing, transfer rules, SMS/CRM handoff, and transcript summary.
premiumFollow-up automationMissed-call text-back, reminders, review request, quote follow-up, or intake sequence.
premiumTesting + call QATest calls, transcript review, prompt tuning, fallback rules, and launch recommendation: after-hours, missed-call, or full receptionist.
premiumGoogle trust improvementsGBP checklist, review flow, service-area clarity, local search structure.
growthOwner documentationWhat was built, where leads go, how to use it, what to improve next.
includedPost-launch supportFirst month support for the premium package, then optional maintenance only if useful.
includedWant the premium version? First prove the leak is worth fixing.
Send the current website, Google profile, or booking path. YellowMarket will estimate the leak with visible assumptions before recommending a package.