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// REG by Parsly · Free AI competitor research

Find out how any company gets its customers

Ask your AI assistant how a company wins its customers and get the whole funnel back, from their ads to their upsells, with the evidence for every finding. Free. Runs in Claude Code today, with more AI tools on the way.

In Claude Code: the terminal, or the Code tab in the Claude app.

/plugin marketplace add itsmattblu/reverse-engineer-growth
/plugin install reg@reg
How does [company] get its customers? Go deep.
  1. 01 Ads seen
  2. 02 Landing pages seen
  3. 03 Sign-up seen
  4. 04 Follow-up inferred
  5. 05 Checkout seen
  6. 06 Delivery seen
  7. 07 Keep and upsell seen
  8. — Conversion rates not visible
Every step is marked seen, inferred or not visible, with a link to the evidence.

// What you get

The whole funnel, not just the ads.

Ad spy tools stop at the ad. REG follows it: where it sends people, what happens next, and how the business makes its money back.

Most competitor analysis gives you a list of a rival's ads, or a traffic estimate, or a generic SWOT. None of them tells you how the business actually works. REG does the research a good marketer would do by hand: it reads the company's Facebook and Instagram ads in the Meta Ad Library, its Google, TikTok and LinkedIn ads, follows each ad to its landing page, reads the sign-up or booking form, works out when the card goes in, and traces the upsells and referral schemes that keep customers paying. The result is a competitor funnel analysis you can act on: which channels bring their customers in, which offers and angles they keep paying to run, and where their funnel is weak.

  • Ads

    found

    Every ad on Meta, Google, TikTok and LinkedIn, how long each has run, the angles, and where each one leads.

  • Landing pages

    found

    The offer, the proof, the price, and every version they're testing.

  • Sign-up

    found

    The form or quiz, what it asks, and where each answer sends you.

  • Follow-up

    often inferred

    Sales calls, chase-up pages, countdowns, what gets tracked and reported to the ad platforms.

  • Checkout

    found

    When the card goes in, the trial, every plan and price.

  • Delivery

    found

    What the product really runs on: their own software, a white-label, a team.

  • Keep and upsell

    found

    Higher plans, add-ons, lock-in, and what happens when you try to cancel.

  • Referrals

    found

    Affiliate and referral schemes, and what they pay per customer.

  • The people

    found

    The founders, their audience, and the other things they sell.

  • Conversion rates

    not visible

    Their spend, conversions and churn stay private, and the report says so.

// A real report

How AG1 gets its customers.

We pointed REG at AG1, the greens powder, and published what came back: every step of the funnel, with the evidence.

It's a fair test of AI competitor research: a big brand with thousands of ads, dozens of landing pages and a sophisticated site. REG found the shape of their paid social, the pages built for each podcast and audience, a visitor classifier in their code, and the places where their own numbers disagree.

  • In their code

    A visitor classifier

    AG1's site sorts each visitor into one of nine groups by where they came from, including people arriving from competitors' sites.

  • In the ad library

    Half the ads in creators' names

    205 of the 418 US Meta ads we loaded ran as partnership ads across 31 creators, many linked through a creator-ads tool.

  • Claims to check

    One gift, two values

    The same free welcome kit was worth $43 on one AG1 page and $72 on another, on the same day.

// Evidence and limits

No guesses dressed up as facts.

The risk with AI for competitor research is that it sounds confident about things it made up. REG works the other way round: it only reports what it can point to, keeps what it saw apart from what it inferred, and is plain about the limits of public evidence. A competitor's ad spend, conversion rates and email sequences are private, and the report says so instead of inventing numbers.

Evidence for every finding

Each step links to the page, ad or file it came from, and is marked seen or inferred. The evidence is saved next to the report.

Claims that don't hold up

Customer counts that change from page to page, "limited spots" that never run out, testimonials that look like placeholders: listed, with where each appears.

What it couldn't see

Every report ends with what's private (spend, conversion rates, follow-up emails) and what would show it.

// How it works

Install, ask, read.

REG is a skill for your AI assistant: a set of instructions that tells it how to research a business properly, in what order, and when the job is done. You add it once, then ask about any company in plain words. Your assistant does the browsing and reading on your computer, then writes the report into your folder, with the evidence it collected saved beside it.

  1. 01 Add REG Two commands in Claude Code. Free, no account, nothing else to install.
  2. 02 Ask about a company “How does [company] get its customers?”, or /reg:competitor-funnel. It tells you what it found in a first look and asks how deep to go: light, medium or deep.
  3. 03 Read the report The funnel step by step, with a link to the evidence for each finding, saved in your folder.

Light

About 5 minutes

The offer, the price, the main ad angles and the funnel in outline.

Medium

About 20 minutes

Every step of the funnel with its evidence: every link, the login and sign-up pages, the site's own code, every ad and where it leads.

Deep

45 minutes or more

Medium, plus the people behind it, company records, archived pages, other ad networks, size estimates and a skeptic's check of every claim.

// Why not funnel hacking?

Learn from their funnel without joining it.

The usual way to reverse engineer a competitor's funnel is funnel hacking: buy the product, join the email list, book the call and take notes. It works, but it's slow, it puts you in their sales pipeline, and it pollutes their data. REG gets most of the same picture from what any visitor can see, and goes further in places a visitor wouldn't look, like the code the site sends your browser.

Funnel hacking

Sign up, fill in their forms, sit through their emails and calls. Slow, it puts you in their sales pipeline, and it skews their data.

AI competitor reports

Paste a link, get a generic SWOT. Fast, but it's mostly guesswork, with nothing to check it against.

REG

Reads only what's public, goes deeper than a visitor would (the site's own code, every ad and where it leads), and shows the evidence for each finding.

// Who it's for

For anyone copying what's working.

Founders

Before you build, see how the businesses already making money find their customers, what they charge, and what they'd struggle to match.

Marketers

Competitor research for your next campaign: the ad angles a rival keeps running, the landing pages behind them, and the offer that closes the sale.

Agencies

A sourced competitor analysis for a client in an hour, not a week, with every finding linked so you can show your working.

It sits alongside the other AI skills for marketing: where most help you write copy or plan content, REG does the competitor research that should come first.

// Also in REG

Two more skills in the same install.

/reg:creator-growth

How a creator grew

Their growth on each platform over time and the turning points, the posts and videos that broke out against their usual, and how the audience turns into money. Ends with a plan to copy.

/reg:content-plan

Your week's posts

A brief on what's working for the people you follow and what you did this week, then a draft a day for LinkedIn and X in your voice. It never posts for you.

// Questions

Questions people ask.

Is it really free?

Yes. REG is free and open source (MIT licence). You need an AI assistant that can run it: today that's Claude Code, which comes with a paid Claude plan.

Which AI tools does it work with?

Claude Code today. REG is written as a skill, a plain set of instructions rather than code, so it can run in other AI assistants too; support for more of them is on the way.

Can AI do competitor research?

Yes, if it's told how. Left alone, an AI assistant will guess. REG gives it a method: which public sources to check, in what order, how to read them, and when the job is done, so the competitor analysis comes back with evidence instead of guesses.

Does it sign up to their funnel or fill in their forms?

No, never. It reads what any visitor can see: their pages and every link on them, the code their site sends your browser, public ad libraries, domain records and reviews. It looks at forms and login pages but never submits them, signs up or logs in, and it doesn't get past bot checks.

Is it legal to look at a competitor's ads?

The Meta, Google, TikTok and LinkedIn ad libraries are public on purpose, so anyone can see who is advertising what. REG only reads public pages, gently, and treats what it finds as research: learn the patterns, don't copy anyone's ads or words.

Can it see their revenue or ad spend?

Not directly: US and UK ad libraries don't show spend, and revenue is private. REG estimates size from public clues (team, reviews, prices, ad volume), labels it as an estimate, and shows how it got there.

How do I see a competitor's Facebook ads, and where they lead?

Meta's Ad Library shows every ad a page is running, free and without logging in. REG reads it for you, notes how long each ad has run, and follows each one to its landing page, so you see the ads and the funnel behind them together.

How is it different from the Meta Ad Library, SimilarWeb or BuiltWith?

Those each show one piece. REG follows the whole path, from the ad to the page, the sign-up, the checkout and the upsells, and puts it together into how the business actually works, with the evidence for each step.

What can't it see?

Anything behind a login or a sign-up: the follow-up emails and texts, the sales call, real conversion rates and churn. Every report ends with a list of what couldn't be seen and what would show it.

Which companies does it work best on?

Businesses that advertise and sell online: software, online shops, agencies, services with a sign-up or booking form. Companies that sell mainly in person leave less to find.

Pick a company you're curious about

In Claude Code: the terminal, or the Code tab in the Claude app.

/plugin marketplace add itsmattblu/reverse-engineer-growth
/plugin install reg@reg