AI outbound · AEO · One operator Rejwan D. Nirob · working worldwide

Be in the inbox. Be the answer.

Your buyers live in two places now: the primary inbox and the AI answer. I run both channels done-for-you: outbound that reaches decision-makers, and AEO that gets you named when buyers ask ChatGPT, Perplexity or AI Overviews who to use. All of it runs on a 17-agent AI system I built myself.

Book a fit call See how I work

200K+ emails/month · 17-agent AI OS · measured to meetings

the OS, working 6 agents working

Outbound sequencing Routing the morning queue

Deliverability Watching placement

Reply triage Sorting by intent

AI answer tracking 48 questions · 5 engines

Camera-safe view · 17 agents · supervised by me

Meanwhile, when buyers ask AI

“Best outbound partner for B2B SaaS?”

#1 rejwannirob.me Cited

#2 everyone else

200K+

emails per month the infrastructure is built to land in primary

agents in the AI system I built. It runs my own operation daily

answer engines tracked weekly, per buyer question

Client names and numbers publish here as they clear. Nothing invented, ever.

Monitored —

ChatGPTClaudeGeminiPerplexityCopilotAI OverviewsGrokMeta AI

01 · What I sell

Three offers. Two share one lever.

AI answers name the brands the wider web already talks about, and earning those mentions is outreach, the same muscle outbound runs on. That is why the first two compound instead of competing for budget.

Offer 01 Live

AI outbound that books B2B deals

A done-for-you outbound engine, deliverability first: I handle the infrastructure, lists, copy and reply handling; your team takes the meetings and closes.

Dedicated domains, SPF/DKIM/DMARC, warm-up and placement monitoring
Signal-based lists: ICP and disqualifiers first, then enrichment
Copy written to the buyer’s language, tested in small batches
Replies classified by agents and worked to booked meetings

Not list blasting. Pipeline engineering, measured to meetings.

Offer 02 Live

AEO: be the answer AI gives

Your buyers ask ChatGPT, Perplexity, Gemini and AI Overviews who to use, and act on the one answer. I make sure that answer names you, links you and ranks you first.

Visibility baseline per engine, per buyer question, before any work
Answer-shaped pages, entity clarity and structured data
Source authority: outreach that earns citations models trust
Weekly share-of-answers report: who is named instead of you, and why

ChatGPT · Perplexity · Gemini · AI Overviews · Copilot

Offer 03 New

Agentic AI assistants for deal teams

The repeatable pipeline work that eats a coordinator's week, handed to agents instead: qualifying inbound, chasing documents, keeping records current and flagging what actually needs a person. Built for teams where the deal is high value and the follow-up is the bottleneck.

Enquiry qualified and routed against your criteria, not a generic script
Follow-up that does not stall when the week gets busy
Records and documents chased and kept current
Every agent output checkable by a person in under a minute

Built for real estate · solar · private equity and M&A

02 · Why me

One operator who owns the whole lever.

The lever is outreach

Models name brands the web already corroborates. Earning those mentions is outreach: the exact muscle a 200K+/month outbound operation runs on. Most AEO shops are learning it for the first time.

I run it on myself first

This site, my content and my own visibility run the same method. My 17-agent OS is the testbed: nothing ships to a client engine before it has run mine. I do not experiment on your budget.

Measured honestly

No vanity dashboards, no invented rankings. Share of answers per engine, placement, replies and meetings; reported weekly, misses included, in numbers you can verify.

03 · How I work

Done-for-you, in four measured steps.

Map the buyer

Exact companies, decision-makers and the questions they ask, before a single send.

Build the engine

Domains, warm-up, lists and copy, or entity, pages and schema on the AEO side.

Send and measure

Small batches, weekly numbers: placement, replies, citations, share of answers.

Book and compound

Warm replies become meetings on your calendar; citations become the default answer.

04 · The AI stack

Obsessed with AI. Accountable to numbers.

AI is not something I resell. I built a 17-agent system that runs my own operation end to end: outbound, deliverability, AEO monitoring, reporting. New models are trialled the week they ship; only what survives touches client work.

What the agents run

Replies read and classified in seconds: intent, objection, meeting-ready
Deliverability watched around the clock: placement, blacklists, warm-up drift
AI answers tracked across 5 engines, reported weekly as share of answers
Reports drafted by agents, checked and sent by me; judgement stays human

If a step can run on an agent, it already does.

What it covers for you

Live

Pipeline orchestration Deliverability monitoring Reply triage Outbound sequencing AI answer tracking Inbox triage Meeting booking Content production Domain warm-up List hygiene Buyer research Calendar management Weekly reporting Ops automation CRM upkeep Pipeline analytics Spam-trap screening

6 running now · 11 on standby · supervised by me

05 · The weekly view

The report is the product you see.

Done-for-you, not software you run. I do the work; this is how you see it: placement and replies on the outbound side, share of answers and who is named instead of you on the AEO side.

Overview Questions Competitors Sources Sample · mock data

Share of answers

64%+12

Questions tracked

485 engines

Citations this month

31+9

Avg position

1.80.6

Share of answers · last 7 months

JanFebMarAprMayJunJul

Buyer question	GPT	PPX	GEM	AIO	Rank
best cold email agency for B2B SaaS	named	named	named	not yet	#1
top AEO consultants for B2B	named	named	not yet	not yet	#2
who fixes cold email deliverability	named	named	named	named	#1

Cyan = named in answer · dim = not yet; the next month of work goes there

06 · Right fit if

Your deal size justifies direct conversations with decision-makers
Your buyers are identifiable: founders, heads of sales, procurement, ops
Buyers research you with AI before they ever reach your site
You want one operator accountable for the number, not a handoff chain

Not a fit: no proven offer yet, or volume-for-volume’s-sake lead gen. I will say so on the call.

Proof, kept honest

Sending capacity: 200K+ /month
Engines tracked: 5
Agent OS: 17 agents · self-built
Model: Done-for-you
Reply time: 24h

Client numbers publish here as they clear: teardowns of the wins and the misses on YouTube and LinkedIn. Nothing invented, ever.

Client testimonials

In their words, not mine.

Both recorded by clients of Grow Me Digital, published unedited on the channel. More publish as they clear.

I build the system, run it on myself, then sell it.

I am not an agency and I do not resell software. I run two done-for-you offers, and both of them run on my own operation before they touch a client.

The seat behind them: revenue growth at Danish Lead Co, a B2B outbound operation running since 2021. 110+ teams served, 10,000+ buyer conversations opened, 30M+ USD in revenue attributed to the systems. On the infrastructure side I am an official partner for Google Workspace and Microsoft 365, which is where deliverability stops being theory.

The system behind them started as one script that checked whether my own emails were actually landing. It is now 17 agents: they classify replies, watch deliverability around the clock, track which answers the engines give, and draft the weekly report that I check and send.

That order matters. Build it, run it, prove it, then sell it. Nothing ships to a client engine before it has run mine, which is why I would rather show you the OS working than a slide about it.

The principle

One finished system beats fifteen folders.

Everything here runs on it: one channel proven and measured weekly before the next one starts. It is how the OS got to 17 agents, and how a client engine earns its budget.

Rejwan D. Nirob · operator

07 · Questions

Asked before every fit call.

What do you actually take off my plate?

Everything up to the sales conversation: targeting, infrastructure, copy, sending, reply handling, AEO content, citation outreach and the weekly report. Your team takes meetings and closes.

How fast do results show?

Outbound: first replies inside weeks, judged on meetings by month two. AEO: structural work moves in 30–60 days; citations compound over months. Weekly numbers either way.

Do you guarantee meetings or rankings?

No, and distrust anyone who does. Inboxes and answer engines are probabilistic. What I guarantee is the system, honest measurement, and that I say so early when something is not working.

Where does the AI actually sit?

Everywhere a step can run on an agent: classification, monitoring, drafting, reporting: the 17-agent system that runs my own operation. Judgement, strategy and the call stay human.

A cold list goes in One booked meeting comes out

Find out where your pipeline leaks.

One call: your offer, your buyer, and whether the inbox or the AI answer is the faster win. If it is not a fit, you leave with the plan anyway.

Book a fit call

Booking builds for August 2026 · reply in 24h · working worldwide