Rules live in the system
Prices, budgets and approvals are set in AgencyOS, not remembered by whoever is on shift.
Shown runs on one system. I built it.
Before Shown I was an applications developer at Oracle, working on machine learning for bank model governance. Here I built AgencyOS, the operating system behind every pitch, client portal and weekly AI visibility check, and I turned the Phoenix framework into a system that runs every week.

$ whoami
Ex-Oracle applications developer
ML model governance, top banks
Co-founder and CTO, Shown
$ agencyos --review
SEO expert · content writer · UI/UX
Approved, then sent to the client
$ phoenix --status
Radar: 5 engines, every week
I started writing code in college and was doing paid client work before I graduated. Then I spent about two and a half years at Oracle as an applications developer, working on machine learning projects that top banks used for model governance.
A bank cannot run a model nobody can explain. Every model is inventoried, validated, approved and watched. I brought that discipline to agency work, where most of the process usually lives in people's heads and spreadsheets.
At Shown I wrote it all down as one system, AgencyOS. It holds our leads, pitches, client portals, the weekly AI visibility checks, every piece of work and the billing. An SEO expert, a content writer and a UI/UX designer make their changes to every draft, approve it, and only then is it sent to the client.
From the call you book to the invoice you pay, every Shown account runs through the system I built. On the way, an SEO expert, a content writer and a UI/UX designer make their changes to every draft and approve it, and only then is it sent to you. Pick a stage to see what happens there.
When you book a call on shown.agency, your booking answers arrive with you, budget included, so the plan we bring to the call fits what you can actually spend.
An unknown budget is never treated as a big one.
Phoenix is how we get a brand shown on every AI engine. Prithvi sets the aim for each part. I built AgencyOS to run every part, every week, for every client: an SEO expert, a content writer and a UI/UX designer make their changes to each draft and approve it, and only then is it sent to the client.
Watch the answers and your rivals
Every week the system asks each tracked buyer question on ChatGPT, Claude, Gemini, Perplexity and Google AI Overviews, in the buyer's own market, and keeps every answer.
Which buyer questions matter for each engine, and which rivals are worth watching every week.
Decide which pages to build
Each page starts as a draft in AgencyOS. An SEO expert, a content writer and a UI/UX designer make their changes and approve it, and only then is it sent to you.
Which page each kind of question needs: answer first, one price table, dated, built from your own numbers.
Get talked about where AI listens
Posts and outreach wait for approval. Nothing goes live or gets sent until a person on the team has approved it.
Which subreddits, which angle and which roundups. Reddit for ChatGPT, Gemini and Perplexity; X for Grok; YouTube for all of them.
Show what moved, with screenshots
Your client portal shows the monthly scorecard, the work waiting on your approval, and the screenshot behind every number.
What counts: share of answers per engine, first mentions, wrong facts fixed, visits and orders.
At Oracle I worked on the machine learning projects banks use to govern their models. In a bank, a model does not go live because it looks right. I brought the same four controls into how Shown delivers work.
Every kind of deliverable follows a written playbook, so we can always say how a piece of work was made.
A draft is checked against your brief before anyone on the team reviews it.
An SEO expert, a content writer and a UI/UX designer make their changes and approve each draft before it is sent to you.
Every step on your account is recorded, so nothing happens that nobody can explain.
Prices, budgets and approvals are set in AgencyOS, not remembered by whoever is on shift.
An SEO expert, a content writer and a UI/UX designer review every draft. Speed never skips that step.
If a figure on your scorecard cannot point to its screenshot or your own analytics, it does not appear.
Your portal shows the same evidence the team works from. No separate, prettier version for clients.
The operating system Shown runs on, which I created. It holds the sales pipeline, the pitch and client portals, the weekly AI visibility checks, every piece of work and the billing. An SEO expert, a content writer and a UI/UX designer make their changes to every draft, approve it, and only then is it sent to the client.
No. Every page, post, email and report is edited by our SEO expert, content writer and UI/UX designer, who approve it before it is sent to you. Nothing a client, a search engine or a subreddit will read goes out unreviewed.
Every week our system asks each tracked buyer question on ChatGPT, Claude, Gemini, Perplexity and Google AI Overviews, in your buyers' own market, and keeps the answer. Your monthly scorecard is built from those answers.
I was an applications developer for about two and a half years, working on machine learning projects that top banks used for model governance: the controls that decide which models a bank may run, and prove why.
Prithvi Jadwani, my co-founder. He decides which questions, pages and threads matter; I built the system that runs them and shows you the result.
Book 30 minutes. Before the call we run your buyers' questions on every major AI engine, so you see who gets shown today and how we get you in.
30 minutes. Free. You keep the prompt report.