Autonomous AI marketing, for any business

Proofsource gets your business recommended by 10+ AI answer engines.

When buyers ask AI what to buy, our agents find why it picks your competitors, ship the fix, and prove it worked.

$10K MRR20 days after launch

chandan@proofsource.co proofsource.co Book a call

+5 engines

Which one should I choose?

Recommended

1Your businessThat’s you

2Competitor

3Competitor

Proven on day 28

Traction

$10K MRR, 20 days after our public launch.

MRR by week, since launch on 7 October

$3.2K

$6.5K

$10K

Week 17 to 13 OctWeek 214 to 20 OctWeek 321 to 26 Oct

~15

Paying customers, from SaaS companies to a hospital chain

$650

Average revenue per customer a month

102+

Accounts since launch, with $0 spent on ads

Customers

zostelNxgSecure+12 moreUsers Ema

+80 more

Launched on Product Hunt, 7 October 2026. Revenue: Stripe. Accounts: PostHog.

The shift

Buyers are moving from search to AI answers that name a short list of companies. Not you.

SEO · until now10 blue links

Rank seventh and buyers still find you.

→

AI search · nowA short list

Often 5 or 6 names. If AI doesn’t name you, you’re invisible.

51%

of B2B software buyers start research in an AI chatbot

69%

chose a different vendor because of one

ChatGPT

Perplexity

Gemini

Claude

AI Overviews+5

Which one should I buy?

Named in the answer

1A competitor

2Another competitor

+3And three more

You aren’t named.The buyer moves on, and you never know.

Proofsource asks the same question on 10 AI engines.Illustration

G2 survey of 1,076 B2B software decision-makers, March 2026.

The problem

Nobody knows how AI search works, how to fix it, or what actually worked.

Nobody knows how it works

AI answers change every day.

27% of the brands Perplexity names change from one day to the next.

No end-to-end fix

A dashboard says “fix these five things.”

Then the team is on its own, without an SEO expert.

No proof

Ten fixes later, which one worked?

Nobody can say what moved the numbers, or when.

SEOA known playbook

→

AI searchA black box

→

ProofsourceOpens it, fixes it, proves it

Our agents find the gap, ship the fix and check it worked.

Learns what
works

Proofsource Insights for Tesla: how often AI names Tesla, and who it names instead — **Know** Who AI names instead of you, and why.

Proofsource Autopilot: the live page beside the new version, ready to publish once approved — **Know** Who AI names instead of you, and why.

The loop: Know: Proofsource asks the same buyer questions across 10 AI engines and shows who each answer names, and why (which sources it quotes). Act: agents draft the change and show the page today next to the new version; publishing merges a pull request, and nothing changes until you approve. Prove: the same questions are asked again on day 7, 14 and 28, with a 95% range on every number. Repeat: agents run the loop on a schedule and rank next time’s fixes by what worked (for example, 10 fixes shipped and 3 moved the answer: the next cycle ranks those first). Agents do 75 to 80% of the work today.

Screens: Insights on the public Tesla example; Autopilot and Work on our own test site with test data; Agents is an illustration.

Not shown yet: a day-28 verdict. Proofsource launched on 7 October, so the first verdicts arrive from November.

Since launch, to 1 November (PostHog, our own team excluded): 37,846 AI answers captured, 391,847 citations and 244,803 pages read, 8,623 gaps found. In October, 169 fixes were drafted for 57 brands. A full first scan takes about 136 seconds.

Proof · NxgSecure

NxgSecure traced over $20K in sales to buyers who found it on ChatGPT.

A live ChatGPT answer to: which managed security and compliance providers in India offer one team and one bill for SOC 2, ISO 27001 and 24/7 monitoring? It lists NxgSecure first, as the closest overall match. — A live ChatGPT answer, 1 November 2026: NxgSecure first, “closest overall match”.

NxgSecure

Where AI names them now

Every brand question, plus 3 buyer questions

What it was worth

$20K+ in sales from buyers who said they found it on ChatGPT

Method: NxgSecure’s sales records and “how did you hear about us” answers, plus Proofsource visibility data. Detail in the appendix.

NxgSecure: a paying customer and our first case study. AI now names NxgSecure for its brand questions and for 3 buyer questions. The customer traced ₹20 lakh (over $20K) in sales to buyers who said they found it on ChatGPT, and reports more inbound business since its first Proofsource fixes went live (customer-reported).

Method: the customer’s sales records and “how did you hear about us” answers, matched with Proofsource visibility data on the same questions before and after the fixes. The customer reported the figure in rupees (₹20 lakh). The dashboard detail is in the appendix.

The screenshot: one live ChatGPT answer on 1 November 2026. AI answers vary from day to day; in Proofsource’s tracked panel (15 October to 1 November) NxgSecure is first on Claude and second on ChatGPT for a consolidated security and compliance platform, and first on every brand question on all four engines.

Agency results at software prices.

Entry$156/month

25 buyer questions, 4 engines, checked daily

What most customers payAverage customer$650/month

How agents reach 95%+: they work inside the tools you already use.

Ask and read

Where buyers ask

The same buyer questions on 10 AI engines, every day.

Measure

Where results show

Search Console
Google Analytics

Visits, sign-ups and revenue from AI, in your own analytics.

AgentsKnow · Act · Prove

Publish

Hand off and post

Where your team works

Slack
Linear
Notion
Google Docs
LinkedIn
YouTube
Instagram
X
+50 more

Every tool the agents can act in is a step your team no longer does by hand. Nothing waits on a person except your approval.

Go to market

We grow Proofsource with Proofsource: the same engine scales to $120M ARR.

Our own funnel, first 30 days, $0 on ads

2,990visitors

191sign-up clicks

102+accounts

~15paying

$10KMRR

The whole growth system, inside ProofsourceSign-up to first fix: about 5 minutes

ProspectAgents find buyers who fit

PitchPersonal outreach, at scale

DemoTheir own AI answers

Sign upFirst scan in about 2 minutes

First fixDrafted by the agents

Preview, approveSee it before it ships

Publish, proveRechecked on day 7, 14, 28

Grow the accountClient management, more brands

What a new sign-up sees in about 5 minutes

The same engine, scaled

$10KMRR today

$1MMRR by H1 2027

$10MMRR: $120M ARR

About 80% of revenue comes direct. Growth adds agents, not headcount. Agencies (10 to 20%) resell us under their own brand and keep 80% of the markup: reach we don’t hire for.

The engine: Proofsource runs its own go-to-market on the same agentic system it sells: prospecting, outreach, demos, closing and account management. About 80% of customers come direct. The first month shows it working with no ad spend: 2,990 visitors and 191 sign-up clicks (PostHog, last 30 days to 1 November), 102+ accounts (PostHog), about 15 paying and $10K MRR (Stripe).

The system: everything growth needs runs inside Proofsource: prospecting, pitching, demos, sign-up, the first fix (about 5 minutes after sign-up; a first full scan takes about 2 minutes), preview and approval, publishing and proof, and client management as accounts grow.

Why it scales to $120M ARR: the same agents that win AI answers for customers win customers for us, so growth costs compute, not a sales team. $1M MRR by the end of H1 2027 is this round’s milestone; $10M MRR ($120M ARR) is the goal on the vision slide.

Agencies: a supporting channel, 10 to 20% of revenue. They resell Proofsource under their own brand, set their own price and keep 80% of the markup.

Next: enterprise accounts, building on the founders’ work with Mahindra Finance and IDFC FIRST Bank.

Competition

Others need experts or a service team. Proofsource runs on its own.

01
Autonomous. Agents already do 70 to 80% of the work, aiming for 90 to 95%.
02
Proven. Every fix is rechecked, so we learn which fixes work, by engine and industry.
03
Distributed. Our own GTM engine, plus agencies who resell us.

Autonomous

No expert neededNeeds expertsMeasuresDoes the work

Peec AITracking

OtterlyTracking

S

SemrushSEO suite, now Adobe

ProfoundEnterprise

S

SitefireEnterprise brands

T

TheoLocal businesses

ProofsourceAny business; we own the outcome

254 vendors in the category as of 26 October 2026. Placement reflects how each company describes itself.

Why we win

Most tools stop at a score. We do the work, and prove it.

After the first scan

	Most AI visibility tools	Proofsource
Finding the gap	A visibility score	Who AI names instead of you, and why
Fixing it	A list of things to fix	Agents draft and ship the fix
Who does the work	An SEO expert or a service team	Agents do 70 to 80% of it today
Knowing it worked	A number that moves every day	Rechecked on day 7, 14 and 28, with a range
Getting smarter	Same advice for everyone	Learns which fixes work, by engine and industry

Market

Not a small market: $96B a year on search and SEO software.

Search and SEO software$96.4BAI search

Spent in 2026, about $295B by 2035

The budget AI search is now taking from.

AI search optimisation$17B

By 2034, from about $1B in 2026

The fastest-growing part of that budget.

Our wedge~$260M

A year from SaaS alone, at today’s $650

Before consumer brands, local businesses and agencies.

Insets drawn to scale by area. Precedence Research (search and SEO software); Dimension Market Research via Superlines (AI search optimisation); about 33,200 SaaS companies × $650 a month.

Agencies

WPPPublicisdentsuOmnicomAccenture Song

Businesses

Playbooks from what wins AI answers, rechecked on every fix

AI agents trained to plan, write and publish the work

Outputs approved by you, amped up by our marketers

Freelancers and tools

Upworkfiverr.Semrush

Profound

Peec AI

Otterly

Our vision

An AI-powered marketing service for businesses to hand off their whole marketing function end to end, with proof behind every result and far better value than an agency.

The thesis: businesses buy marketing two ways today. Agencies sell strategy and execution on retainers, slow to start and hard to measure. Freelancers and tools sell tasks and dashboards; most of the 254 AI visibility tools (roster compiled 26 October 2026) stop at a score, so the team still does the work. Proofsource takes the best of both and runs it on agents: playbooks of what wins AI answers, agents that do the work, and a human step where the customer approves and our marketers finish what agents can’t do yet (75 to 80% of the work is agent-run today; the goal is 95%+).

The moat: every shipped fix is rechecked on day 7, 14 and 28, so the playbooks learn which fixes win, by engine and industry. Trackers never ship fixes, so they can’t collect this; agencies do the work but don’t measure it across hundreds of sites.

Roadmap, next 18 months: Measure and prove (now to January 2027): first-scan improvements, four published case studies, the agency workspace, revenue connected to analytics. Execute (January to June 2027): agents ship fixes end to end on more site platforms (WordPress today; Webflow, Shopify and others next), and off-site work becomes self-serve. Search and social (July to December 2027): SEO and social content in the same loop, with attribution to traffic, leads and revenue. Organic growth platform (2028): one system that plans, executes and proves organic growth across AI, search and social; then sales, operations and support. The goal is $10M MRR ($120M ARR).

Sizing: about 33,200 SaaS companies × $650 a month ≈ $259M a year (the SaaS count is from an industry roundup, so treat it as an order of magnitude). Search and SEO software: $96.4B in 2026 (Precedence Research); definitions vary between firms.

Team

Operators who have scaled it before, and an engineer who built for 300M users.

CEO

Chandan Kumar

Ran growth and retention for enterprise-scale businesses at Mahindra Finance and IDFC FIRST Bank; ex-ByteDance.

COO

Amit Kumar

Built OG Club from zero to 29,000 members and a $500K sale to Brinc; early at Uber.

CTO

Lokesh Basu

IIT Roorkee

IIT Roorkee; built Hotstar’s ad data for 300M+ users; founding engineer at Rippling.

The ask

Raising $1M.

A pre-seed usually funds 18 to 24 months.

Where it goesShare of the round

Fixes shipped for you

2 engineers for execution and platform integrations

50%

Direct sales

1 growth and sales hire on our GTM engine

30%

Partners and accounts

1 customer success and partnerships hire

20%

What it buys, by the end of H1 2027

$1MMRR, up from $10K today

1,500paying customers, up from about 15

50%of new customers from cold channels, up from about 13%

Book 30 minutes with the founders chandan@proofsource.co

Use of funds (draft):2 engineers for execution and platform integrations (50%); a growth and sales hire for direct sales (30%); a customer success and partnerships hire for agencies and retention (20%). A pre-seed usually funds 18 to 24 months.

How the ask ties to the vision: $10M MRR ($120M ARR) is the long-term goal on the vision slide; this round is the first step, and the boxes show what it buys by the end of the first half of 2027.

The targets are drafts, worked out from current traction, for the founders to confirm: $10K MRR three weeks after launch with about 15 paying customers at about $650 each. $1M MRR by the end of June 2027 is about 8 months away, so about 78% growth a month, and about 1,500 customers at today’s price of about $650 (fewer if revenue per customer grows, for example with managed plans at $1,000+). About 2 of today’s 15 customers came from cold outreach (about 13%); the goal is half of new customers from cold channels, the pipeline the round scales.

Contact: chandan@proofsource.co

Appendix · NxgSecure in detail

NxgSecure’s own Proofsource dashboard: first on every brand question.

NxgSecure’s Proofsource dashboard, 15 October to 1 November 2026. Engines, left to right: Claude, Google, ChatGPT, Perplexity.

Brand questions

39 of 39

answers name NxgSecure, first on all four engines

Buyer questions

#1 · #2

on Claude and ChatGPT, for a consolidated security and compliance platform

What it was worth

$20K+

in sales from buyers who said they found it on ChatGPT

Visibility: Proofsource, NxgSecure’s tracked questions. Sales: the customer’s records and “how did you hear about us” answers.

Appendix · Metrics

One month in: 102+ accounts, and the product already runs at scale.

Accounts since launch on 7 October

44

68

80

102+

13 Oct20 Oct26 Oct31 Oct

With $0 spent on ads. Brands from 13 countries; visitors from 19+.

Straight from our PostHog dashboard, 1 November 2026. Our own team is excluded.

Accounts and visitors: PostHog. Brand countries: proofsource.co/customers, each checked on the brand’s own site. Usage: PostHog, since launch.

Appendix

Sources: accounts are a running total from PostHog (44, 68 and 80 at the end of launch weeks 1 to 3; 102 at the end of October). Usage counts are from the same PostHog project, since launch, with our own team excluded.

Usage, since launch to 1 November (PostHog, our own team excluded): 37,846 AI answers, 391,847 citations and 244,803 pages read, 69,320 brand mentions, 60,623 sentiment reads, 35,438 answers saved as screenshots, 8,623 fixes found, 158,887 paid AI and data calls. A first scan takes about 136 seconds.

Brand countries (proofsource.co/customers, 1 November): 57 of the 102 listed brands have a country checked against their own site or an authoritative profile; they come from 13 countries: India 31, the US 12, China, Indonesia and Turkey 2 each, and one each from Singapore, the Philippines, Rwanda, Azerbaijan, Serbia, Israel, Canada and Portugal. Brands without a checked country are left out, never guessed. A wider, weaker signal from the production database (the timezone of the person who added each of 196 non-test brands) spans 21 countries.

Visitor countries, last 30 days (PostHog): visitors from at least 19 countries (the table shows the top 20 rows, one of them unknown), led by India (994), the US (785) and Singapore (86). Sign-up clicks came from 10 countries; India gave 94 of 191.

Appendix · The market

254 vendors, and the money is concentrating.

Vendors by segmentCompanies

Long-tail trackers (directory-listed)118

Mid-market and small-business specialists (ours)29

SEO suites adding an AI module25

Agencies and services23

Venture-backed platforms18

Content and SEO tools adding AI search10

Commerce and vertical specialists9

Enterprise marketing suites8

Analytics and infrastructure layers8

Free checkers6

223 active, 7 acquired, 12 possibly defunct, 12 unverified. Only 73 disclose funding.

Rounds and acquisitions

Profound	$180M Series D at $1.8B	Sep 2026
Bluefish	$43M Series B	Apr 2026
Brandlight	$30M Series A	2026
Peec AI	$21M Series A	Nov 2025
Evertune	$15M Series A	Aug 2025
Searchable	$14M at about $85M	May 2026
geoSurge	$12M seed	Jul 2026
Semrush	Acquired by Adobe, about $1.9B	Apr 2026
Scrunch	Acquired by Sitecore	Jun 2026
Hall	Acquired by Tracksuit	Jul 2026
Meridian	Acquired by Searchable	Sep 2026

Vendor roster compiled 26 October 2026 from vendor sites, press and directories.

Appendix · Market size

SaaS alone is about $260M a year at today’s price.

Bottom-up: what Proofsource can reach

Segment	Count	Price assumption	A year if all bought
SaaS companies	~33,200 (~17,000 in the US)	$650 a month, today’s average	~$259M
US agencies reselling	100,202 (IBISWorld)	5 client brands at $156 a month	~$938M

Realistic shares: 1% of SaaS companies is about 330 customers and $2.6M a year; 5% is about 1,660 customers and $13M. 1% of US agencies with five brands each adds about $9.4M.

Search and SEO software budget

$96.4B

in 2026, about $295B by 2035 (Precedence Research). The pool AI visibility draws from.

AI search optimisation

$1.09B

in 2026, $17.15B by 2034 (Dimension Market Research, via Superlines).

Typical tool spend today

$337 /mo

across 30+ tools (Rankability, via Superlines). Our $650 average sits above it.