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.

chandan@proofsource.co proofsource.co

+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, 26 October

$10K

By week since launch on 7 October

$3.2K

$6.5K

$10K

Week 17–13 OctWeek 214–20 OctWeek 321–26 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

Paying customers Fortis

zostelNxgSecureUsers Ema

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

The shift

Buyers are moving from search to AI answers that name one or two companies.

SEO · until now10 blue links

Rank seventh and buyers still find you.

→

AEO · now1–2 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

[A real buyer question in a customer’s category]

Named in the answer

1[Competitor A]

2[Competitor B]

[Your company] isn’t named.The buyer moves on, and you never know.

Proofsource asks the same question on 10 AI engines.Example: add a real answer

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

→

AEOA black box

→

ProofsourceOpens it, fixes it, proves it

The product · agentic marketing

Know, act, prove, repeat.

Proofsource Insights for Tesla: AI Visibility with the mention rate chart and the mention rank list against Ford, Rivian, SunPower and Enphase Energy — 01 · KnowInsights, on the public Tesla example: how often AI names Tesla, and who it names instead.

Proofsource Citations for Tesla: source share chart and source rank, with youtube.com and reddit.com ahead of tesla.com at number 5 — 02 · KnowCitations: which sites AI quotes when buyers ask, and where your own site ranks among them.

Proofsource Fix it for Driffle: the live page and the new version side by side, the new version adding a Zoom and Google Meet answer to the FAQ, with Publish to driffle.ai below — 03 · ActAutopilot: your page today next to the new version, side by side. Publish merges the pull request; nothing changes until you approve. Sample run on our own test site, with test data.

Proofsource Work for Driffle: Fix it with the fixes that need you, who AI picks instead of Driffle, and each fix moving from found to merged, live and checked — 04 · ProveWork: each fix goes from draft to pull request, preview and live, then the same questions are asked again. Sample run on our own test site, with test data.

An illustration of the Proofsource agent builder: one message in Ask Proofsource becomes a 9-step agent, drawn as a graph from Every Monday at 9:00 to Post the result in Slack, with Wait for your Yes highlighted — 05 · RepeatAgents: one message in Ask Proofsource becomes a 9-step agent that runs every Monday, waits for your Yes, publishes, then checks if AI cites the page. Illustration.

01 / 05

Screens from proofsource.co: Insights and Citations on the public Tesla example; Autopilot and Work are a sample run on our own test site, with test data; Agents is an illustration.

Use → and ←, the arrows under the screen or the step list to move through the five screens.

The screens: the five product screens on proofsource.co. Insights and Citations show the public Tesla example. Autopilot and Work are a sample run on our own test site (driffle.ai), with test data. Agents is an illustration of the agent builder.

The flow: Insights shows how often AI names a brand and who it names instead. Citations shows which sites AI quotes and where the brand’s own site ranks. Autopilot drafts the change and shows the page today next to the new version; publishing merges a pull request, and nothing changes until you approve. Work follows each fix from draft to pull request, preview and live, then asks the same questions again. Agents run that loop on a schedule, from one plain-language request.

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

In October (our own team excluded): 36,000+ AI answers captured, 382,000+ citations and 241,000+ pages read, 8,400+ gaps found where AI gets a brand wrong or leaves it out, and 169 fixes drafted for 57 brands. A full first scan takes about 137 seconds.

Proof · NxgSecure

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

Screenshot[ChatGPT answer naming NxgSecure]

Where AI names them now

Every brand question, plus 3 buyer questions

What it was worth

₹20 lakh (over $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.

Business model

From $156 to $1,000+ a month; the average customer pays about $650.

Entry

$156 /mo

25 buyer questions, 4 engines, daily

Typical

~$650 /mo

The average customer today

Scale

$1,000+ /mo

More questions, engines and brands, or our team ships the fixes

Per brand, per month, at about 5 cents per checked AI answer. Full pricing at proofsource.co/pricing.

Go to market

We built Proofsource to grow Proofsource: 80% of customers come direct.

Our in-house GTM engine

ProspectFind buyers who fit

OutreachPersonal, at scale

DemoShow their own AI answers

ClosePaid, then grown

Where revenue comes from

About 80% direct

10–20% agencies

Outreach funnelFill once tracked

Sent[___]

Replies[___]

Demos[___]

Trials[___]

Paid[__]

Agency partners

Partners help us own outcomes at scale.

Their brand. Agencies resell Proofsource under their own name.
Their price. They set what their clients pay.
Their margin. They keep 80% of the markup.

Competition

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

01
Autonomous. Agents already do 70–80% of the work, aiming for 90–95%.
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 70–80% 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

$96.4B

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.

Precedence Research (search and SEO software); Dimension Market Research via Superlines (GEO); about 33,200 SaaS companies × $650 a month.

Vision

From AI visibility to an autonomous marketing team.

Proofsource today

Measure

Track what 10 AI engines say, with honest ranges.

Fix

Rank the gaps, draft the fixes, re-check each one.

Run marketing

Agents run AI search, SEO, content and social end to end.

Own outcomes

Expand to sales, operations and support: a category, the way Salesforce and HubSpot built one.

$120M

ARR, $10M a month, is the goal: one product first, then a suite, the way Salesforce and HubSpot grew.

Wedge

AI search today; then every channel a marketer runs, then sales, operations and support.

The thesis: the next large companies will be service companies wrapped around software, selling outcomes. Proofsource starts with AI search and expands into a full AI marketer, then into sales, operations and support.

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.

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 Disney+ Hotstar

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

The ask Fill before use: milestones, use of funds

Raising $1–2M [to reach Y]

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

[__%]

Direct sales

[1] growth and sales hire on our GTM engine

[__%]

Partners and accounts

[1] customer success and partnerships hire

[__%]

What it buys, by [March 2027]

[$Z]MRR

[N]paying customers

[X%]of new customers from cold channels

chandan@proofsource.co

Appendix · NxgSecure in detail Fill before use: buyers counted, period, before and after, permission

NxgSecure, before and after, on the same buyer questions.

Mention rate, with the range

Before

[X%]

→

After

[Y%]

Over [N] weeks, measured by Proofsource on the same questions.

Buyers who said they found it on ChatGPT

Before

[C]

→

After

[B]

₹20 lakh (over $20K) in sales traced to them.

In their words

[Named quote, if the customer permits]

[Customer logo][Name, role]

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

Appendix · More case studies

Three more case studies, one slide each.

Case study 2[SaaS customer: before and after, method, permission]

Case study 3[SaaS customer: before and after, method, permission]

Case study 4[Customer: before and after, method, permission]

Appendix · Metrics

102+ accounts so far; weekly sign-ups fell after the launch spike.

New accounts per week since launch

44

24

12

Week 1Week 2Week 3

The launch spike faded, and we found sign-in failures and a weak first-scan step. [What we fixed and the result since]

36,000+AI answers captured and kept

382,000+citations read, every source AI quoted

241,000+pages read across the web

8,400+gaps found where AI gets a brand wrong or leaves it out

169fixes drafted from that data, for 57 brands

~137 sfor a full first scan

37%of trials finish a first scan (activation definition still to settle)

Too earlyfor retention: we launched on 7 October

Answers, citations, pages, gaps and fixes: October 2026, our own team excluded. Sign-ups and scans: PostHog, last 30 days to 26 October 2026.

Appendix · Pricing maths

Price per checked answer, tier by tier.

Tier	What it buys	Checked answers a month	Price per answer	Our cost per answer
$156	25 questions, 4 engines, daily	about 3,000 (25 × 4 × 30 days)	~5.2¢	[___]
$630	100 questions	[engines and cadence]	[___]	[___]
$2,929+	500 questions	[engines and cadence]	[___]	[___]

AI and data costs today

About $7 to $43 a day in total, across all accounts.

Gross margin per account

[___%]

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 GEO10

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.

GEO specifically

$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.