Impact Quest 3.0 — Final Jury Round · 5-minute pitch

Every small business, visible and trusted by the people who buy from it.

Fairview turns the evidence a business already produces on WhatsApp into a presence AI can read, a receptionist that answers its customers, and a record of work that buyers can trust.

From discovery to outcome · Siddharth Gangal · sg@thestacc.com · getfairview.com

01 / 11FAIRVIEW
02 / 11 — The problem

Buyers now ask AI. AI only recommends businesses it can read and verify.

Founder-led sales calls
100+
with Indian small businesses
No real web presence
70%+
no website, or a dead template with prices years stale
India's MSMEs at stake
~64M
run on WhatsApp and word of mouth; the search era passed them by
Why it persists

Staying machine-readable is continuous work: fresh content, structured data, current prices, proof of every job. No small business can hire for that, and the agencies it can afford build a website once and move on.

The stakes

A business a machine cannot read vanishes from the answers buyers act on. The big get bigger. The small lose demand at the moment it matters most.

The buyer's side

A family in Nashik looking for a solar installer, or a good toy for a five-year-old, has no way to tell a sound business from a poor one. No prices, no proof, no reviews worth reading.

02 / 11FAIRVIEW
03 / 11 — Why this works

We manufacture the exact signals ranking machines are built on.

How Google ranks — E-E-A-T & freshness
  • Experience — Google's quality systems reward first-hand proof of doing the work. A dated job photo or invoice is that proof.
  • Freshness & helpful-content systems favour pages that keep changing for real reasons. Our agent publishes as work happens, so nothing goes stale.
  • Structured data — schema.org markup on every page lets machines parse services, prices, and reviews, and earns rich results.
How AI assistants answer — retrieve → verify → cite
  • Assistants ground their answers in retrieval: they search, parse what they find, and cite only what they can verify. A business without verifiable facts drops out of the answer.
  • A confident recommendation needs structured, dated, corroborated facts — precisely what an evidence-backed profile provides.
  • Agents will soon read through MCPs and APIs as well. The same structured record answers them, so we can serve that channel the day it matters.
↻Fresh, dated updatespublished as the work happens
⌁Schema on every pagemachine-parseable by default
✓First-hand proofevery claim traces to a photo or invoice
⌕A record any assistant can readthe same profile, served to agents
All of it falls out of one act: a business forwarding its evidence. Four months of that took a Gujarat solar firm from zero to a 34% AI citation rate.
03 / 11FAIRVIEW
04 / 11 — The wedge

One forwarded message. The agent does the rest.

🏪Sharma Solar & Electricals → Fairview
📷 photo — finished 5kW rooftop install, Ravet site09:14
🎙 voice note — "we've started doing AMC contracts now, ₹4,500 a year"09:15
quote for Mehta ji: 3kW system, ₹1.9L incl. subsidy help09:17
→ agent →
structures · writes
publishes · verifies
Verified profile — live
Freshness
Today
updated 09:18, automatically
New service page
AMC ₹4.5K/yr
live on site, GBP & socials
Proof artefacts
34
▲ verified photos & jobs
Current pricing
Live
3kW from ₹1.9L — quotable by AI
01 — Publishes everywhere machines look

One forwarded message updates the website, Google Business Profile, social media, and directories — every surface a buyer or an AI assistant checks, kept consistent and current.

02 — Verified profile

Every claim traces to a real photo, invoice, or confirmed job, and carries a date. The owner decides what is public. An assistant can recommend and quote with confidence.

03 — The public record

Every verified job and price also feeds public pages for the trade. Assistants cite those pages, and the businesses named on them. Agents can query the same record through an MCP endpoint.

This is the door. Every customer walks in here, in their own language, on the app they already use.

04 / 11FAIRVIEW
05 / 11 — One year on Fairview

Two customers. One year.

Sharma Solar & Electricalsrooftop solar · a service business Skaleupstoys · a brand selling online · on Fairview today
Month 0 Word of mouth and a dead template. Invisible to search and to AI. Sells on its own store and on marketplaces. Knows its revenue. Guesses at its profit.
Month 1
found
Profile live. Pages published as jobs happen. First AI citation. Products readable by assistants. Pages published from what already sells. Knows what every order actually earns.
Month 3
answered
Enquiries land on WhatsApp. A personal receptionist replies, quotes, and books the site visit. Campaigns judged by margin and repeat orders. Creative made from what customers already ask.
Month 6
proven
Completed jobs become proof on the profile. Reviews requested. AMC renewals rebooked. Delivered and kept orders become proof. Winning messages feed next month's pages.
Month 12
chosen
↻  Found by a buyer who asks once: on an AI assistant today, on Fairview next. ↻  Same.
Same WhatsApp. Same evidence. One record. The business does one thing: it forwards what it already produces.

Publishing live today · verified profile in build · receptionist in progress · Sharma Solar is an illustrative name

05 / 11FAIRVIEW
06 / 11 — The consumer

Ask once. Find the right product or service.

Today Through an AI assistant
chatgpt.com · perplexity.ai · google.com
Buyer asks
"Who installs 3kW rooftop solar near Ravet, with subsidy help, and what does it cost?"
Assistant answers, and cites
"Sharma Solar & Electricals lists 3kW from ₹1.9L including subsidy help, updated today, with 34 documented installs." ↗ source

The assistant cites the page and the business on it. This is the 34% citation rate a Gujarat solar firm reached in four months.

Next Through Fairview
getfairview.com / discover
What do you need?
3kW rooftop solar, Ravet, with subsidy help  Ask Fairview →
Compare
3 verified
installers, prices dated this month
One request
Sent
receipt, booking, rebooking in one place

Describe the need, compare verified profiles, send one request instead of ten calls. Receipts, bookings and rebooking stay in one place.

Two-sided inclusion. The business gets demand that would have gone to a bigger player. The buyer in a smaller city gets a trustworthy answer where there was none.
06 / 11FAIRVIEW
07 / 11 — Uniqueness & social impact

Nobody is building this for the small guy.

vs agencies & templates

Built to stay fresh

An agency delivers a website once. Our agent updates the moment work happens, so the price shown is this week's price.

Won't agencies copy this?

Software margins

Agencies sell billed labour. Continuous freshness at small-business prices only works at software margins. Our first US agency partner resells us.

vs listings & directories

Trust from outcomes

A directory shows what the business typed. Fairview shows what the business did, with the photo, the invoice and the date.

vs DIY builders

WhatsApp & vernacular first

A voice note in the owner's language is enough. If you can send a WhatsApp message, you can be found.

Machine-readable presence
→
Discoverable to AI-era demand
→
Income that would otherwise flow to bigger players
→
Formalisation, growth & livelihoods
We will report · SDG 8 — Decent work

Businesses onboarded

Made machine-readable, with the agent as their marketing department and their receptionist.

We will report · SDG 9 — Infrastructure

First-time AI visibility

A digital trust identity for the informal economy, built where businesses already are.

We will report · SDG 10 — Reduced inequalities

Inbound enquiries, Tier 2/3

Reported first for the Jubilant pilot cohort. Paying customers fund near-free profiles for the smallest.

Five-year outreach: 1M+ paying businesses · 10M+ free verified profiles · 5M livelihoods supported, Tier 2/3 first

07 / 11FAIRVIEW
08 / 11 — Traction & work done

31 businesses pay us every month. Bootstrapped, revenue-funded.

Paying customers
31
▲ on theStacc today
Monthly recurring revenue
₹5.6L
▲ ≈ ₹67L annualised
External funding taken
₹0
customer revenue funds everything
Channel partners
1 US
agency partner already closing deals
Case study — Solar EPC, Gujarat
0% → 34%

AI citation rate in 4 months. Daily impressions 2.5K → 8.7K (+248%).

Case study — Solar engineering, Surat
0 → 20+

leads per week from organic. Traffic 120 → 4,800/mo; page-1 keywords 12 → 340+.

Case study — Solar SaaS, global
5 → 70+

leads per month (+1,400%) across 100+ countries and 8 languages.

✓theStacc live & earningwebsites, content & visibility as a subscription
✓Fairview live for product brandsSkaleups and Blur India on it today
↻Agent in build, receptionist in progressWhatsApp evidence → verified profile → answered enquiries

thestacc.com/case-studies — full data, screenshots, and methodology for all three.

08 / 11FAIRVIEW
09 / 11 — Business model

Each new business makes the public record more worth citing.

Agenciesproject or retainer DirectoriesJustDial, IndiaMART DIY buildersWix, Squarespace Fairviewjobs and prices, published
What the seller keeps The files from that job Records that rot No jobs, no prices Every job and price, dated and proven
Where buyers come from The owner’s own marketing Traffic bought, then sold back to the business The owner’s own marketing Assistants cite the pages we publish
How the money works Billed hours; more revenue means more staff Ads, funded by chasing consumers A cheap monthly tool A monthly subscription; one pipeline serves everyone
Does customer #500 make customer #1 better off? —  No —  No — a rival on the same page —  No ↻  Yes, when they share a dated public page
More businesses in one trade
→
More jobs and prices, dated
→
One public page, kept current
→
Assistants cite the page, and the names on it
→
Our customers get found
→
Verified outcomes improve what the next buyer can discover
↻
Thirty-one businesses already pay to be found, about ₹18K a month each; one 3kW solar job covers it. The receptionist and the order view run on the same evidence, so the second product costs us little to sell. Buyers use Fairview for free. Near-free profiles for the smallest are funded by the layers above.
09 / 11FAIRVIEW
10 / 11 — Next 12 months & the ask

Back us to run the first Bharat pilot inside the Jubilant ecosystem.

Months 0–3 · Foundation

Ship the Fairview agent v1

  • theStacc to 100 paying customers, ₹10L MRR
  • Free visibility audits as the door-opener; plan shaped with the programme's mentors
Months 3–6 · The Jubilant pilot

Onboard 200–500 businesses

  • Vernacular intake: voice notes in the owner's language
  • Receptionist on WhatsApp in beta
Months 6–12 · Scale

5,000 businesses visible to AI

  • A current public price page in every trade cluster we enter
  • Near-free profiles for the smallest; Fairview Discover alpha
Ring 1 — Jubilant companies' outlets

Local discovery at store level. Domino's as the example: every store's hours, menu, delivery area and offers kept current and readable by AI, one city at a time.

Ring 2 — Suppliers, dealers & clients

The small businesses around Jubilant companies. Vendors, distributors, dealer shops, contractors. Verified profiles, a receptionist, proof of work. Already trusted by a Jubilant company.

Ring 3 — Foundation entrepreneurs

Ventures the Jubilant Bhartia Foundation backs, Impact Quest cohorts included. Found, answered and proven from day one.

We ask for incubation and grant support, mentorship from Jubilant operators, and introductions into the three rings. Our 12-month gate: 200–500 businesses onboarded from the ecosystem, N% reach first-time AI visibility, N inbound enquiries generated. Miss it, and we fix before we scale.
Agent & product engineering45%
Bharat onboarding pilots35%
Vernacular content ops20%
10 / 11FAIRVIEW
11 / 11 — Team

Built by people who have done this before.

Siddharth Gangal

Founder & CEO

Built his last company to $1.5M in revenue — 40% of it from SEO — and sold it to a US acquirer. Ran the 100+ sales calls behind this product.

Udit Kumar

CRO

Runs sales. Five years with Siddharth through the last scale-up; MBA. Builds the process for high-volume, low-ticket selling.

Amit M

Full-stack Engineer

With Aditya, wrote all the software so far — theStacc platform and the Fairview agent. AI-native.

Aditya Garud

Full-stack Engineer

Builds across the whole stack, from the WhatsApp pipeline to the published sites. AI-native.

Akshay VR

Head of Marketing

Runs paid ads and guerrilla marketing.

Ritik

SEO Expert & Product Manager

Runs SEO for our clients and for us — the case-study rankings are his work.

Himanshu Rathore

UX & Product Manager

Owns design and UX; decides and ships product features.

01

70% of small businesses are invisible online — and AI search is about to make that fatal.

02

Fairview fixes it with zero behaviour change. Forward your WhatsApp evidence and the agent gets you found, answers your customers, and proves your work.

03

31 businesses already pay us ₹5.6L a month. The mission funds itself. Your ecosystem is where we prove it at scale.

FAIRVIEW · Siddharth Gangal · sg@thestacc.com · getfairview.com · thestacc.com/case-studies

11 / 11FAIRVIEW