Hey Guys,
Let me cut to the chase.
Nobody trusts a stranger on the internet anymore. That one fact sits underneath almost every source this week.
Sabri Suby pulled apart a Norwegian skincare house running 12,928 live ads and 1.5 million clicks a month. His verdict: the ads aren’t what converts. It’s the “sniff test” a buyer runs on Google and TikTok right after the click, and what they find there.
Bill McIntosh says the same thing from 25+ years in the game. Trust peaked around the pandemic, buyers are burned out, and 90 to 99% of visitors never buy on the first touch.
So the winners this week are all doing one thing: engineering trust before the pitch. A 5-minute video sent before a sales call. Comments kept on-platform instead of pushed to a link. Advertorials instead of product pages. A black-hat-forum SEO test showing Google weights the links people actually click.
Then there’s section 12. A former detective, averaging 400 views per video, who says he launched a $24,000 cohort off that audience. Not 400,000. Four hundred.
Let’s get into it.
1. Make Text Posts Do the Selling: The Comment-to-Commission System
SUMMARY
Joshua Elder’s method is deliberately low-tech: plain Facebook text posts that provoke comments, replies to those comments containing an affiliate link, and a product owner’s funnel that handles all the selling. He reports $1,154 in commissions on a single day (15 September) and over $41,000 this year from one JVZoo account alone, with a claimed $1.1M last year across his business. Results vary and these are his own figures.
The “why” is platform mechanics. He says in 2026 Facebook penalises posts that push people to a link in bio, so a post asking for a comment reached 25,523 views in an hour while a “click and buy” post would get maybe 300 to 400. Keeping people on-platform, then dropping the link in a reply, protects reach.
The second lever is offer selection. He favours $1,000 to $3,000 products at 50% commission, and specifically product launches over evergreen ClickBank/JVZoo offers, because launches have live calls, follow-up and a hard close date. He reports $48,926 in September 2025, with 90% landing in the first two weeks of a launch.
KEY INSIGHTS
Zero followers needed: he claims distribution is identical for 0 or 100,000 followers now.
Posts that ask for a comment: 25,523 views in an hour vs. an estimated 300 to 400 for a direct link post.
Reported $3.82 earned per click on his current launch promo.
Posting cadence: 3 to 10 text posts per day, all matched to the offer’s niche.
Same effort to promote a $3,000 product as a $50 one; pick high ticket as engagement drops.
Product launches outperform evergreen VSLs because of scarcity and a door-close deadline.
On Instagram, 8 to 15 second text-on-screen reels plus a ManyChat auto-DM deliver the link.
Example post framings: “$500 per day is $15,000 per month. Do you have 30 minutes a day?”
ACTION CHECKLIST
Pick one upcoming product launch in your niche (JVZoo, ClickBank, or direct) and get affiliate approval.
Write 5 comment-bait text posts that match the offer’s promise.
Reply to every comment with the link instead of putting it in the post.
Set up ManyChat on Instagram to auto-DM the link when someone comments a keyword.
Track earnings per click for 7 days before scaling post volume.
🎥 Watch the full video on YouTube: https://www.youtube.com/watch?v=Y8Yc3v0XCh0
2. Trust Engineering: The 3-Phase Playbook Behind 12,928 Live Ads
SUMMARY
Sabri Suby reverse-engineers a Norwegian brand house (Air Holistic, four brands) that he says runs 12,928 live ads and drives 1.5 million clicks a month. His core argument: the buying path isn’t linear. After a click, the prospect fires up Google, TikTok and YouTube to run a “sniff test” on your brand. That parallel search, not your headline, decides the sale.
The brand wins by engineering what people find. Phase one is a TikTok “parade of proof”: dozens of micro-influencer satellite pages posting daily before-and-afters so a brand search shows a wall of real faces. Phase two is a PR blitz: press releases for every sellout and restock (they claimed “sold out 11 times”) that create buying frenzy and give press logos for ads and landing pages. Phase three sends cold traffic to advertorials, not product pages, using a problem-proof-push structure so the reader’s guard is down.
The landing page itself is a proof machine: benefit headline (“visibly glowing skin in 48 hours”), “583,000 women”, 4.9 stars, press logos, before-and-afters, a double offer (40% off plus risk-free). Together the three phases form a flywheel: higher ROAS, more ad spend, more customers, more reviews.
KEY INSIGHTS
One brand in the group has 4,600 ads in the library, heavy on statics across every angle and pain point.
Statics first: test hundreds of angles cheaply, then roll winners into VSLs.
Your “second click” (branded search) is a funnel you must design, not leave to chance.
Target 20 to 30 pieces of organic creator content before scaling ads.
PR works as a conversion asset, not a vanity metric: third-party validation beats on-page claims.
Advertorial structure: agitate the problem, stack proof, then push the CTA.
Bridge pages let you match page copy to each ad angle without 15 product-page variants.
Find the winning angle, scale it, kill the rest.
ACTION CHECKLIST
Google and TikTok-search your brand name and screenshot page one. That is your real funnel.
Get your product into the hands of 20+ micro-creators for proof content.
Issue a press release for your next sellout, restock or customer milestone.
Write one listicle-style advertorial using problem → proof → push.
Put your landing page next to a top competitor’s and count the proof elements you’re missing.
Launch a batch of static ads to find angles before investing in video.
🎥 Watch the full video on YouTube: https://www.youtube.com/watch?v=-ICL-axeBQY
3. The $11 Microsite: One Service, One City, 50 Pages
SUMMARY
Jesse Cunningham’s microsite model is AI-powered rank-and-rent. A microsite answers one question in one city and does nothing else: “sewer line replacement in Dallas”. He argues Google is a guessing machine, and a site where every page, link and sentence points at one service in one city is the easiest guess it makes all day, so it ranks.
The build is a flat HTML site, which he says costs about $11 (the domain) and roughly 15 minutes using a Claude blueprint. Structure: homepage, one service page, 20 to 30 surrounding-town pages, cost pages, and pages answering the exact questions people type at 11pm. Then you wait weeks while nothing happens, which is where most people quit.
Monetisation is lead-based, not traffic-based. A sewer job runs $4,000 to $18,000 with about 30% gross margin, so contractors will pay hundreds per exclusive call. He names four models: flat fee per lead (he suggests $150 exclusive), site rental ($500 to $1,000 a month), rev share (around 5% of gross), or running the leads yourself. He’s clear not every site works, and his demo site isn’t indexed; these are his projections.
KEY INSIGHTS
A site about everything is a site about nothing. Niche to one service, one city.
40 to 50 pages, most of them suburb/town pages, because Plano searches differ from Dallas searches.
Target exact-match searches (“custom pool builders Orlando”).
Nine calls a month looks tiny for SEO but could mean three closed jobs at $8,000 each.
Exclusive leads beat Angie’s List-style leads that get resold to many contractors.
Build, wait, then build contractor relationships. Patience is the moat.
Skip blogs on local service sites; he thinks they’re no longer worth the effort.
ACTION CHECKLIST
Choose one high-ticket “emergency” trade service and one city.
Buy an exact-match or near-exact domain.
Generate the homepage, service page, 20+ town pages, cost pages and FAQ pages with an AI blueprint.
Add call tracking so every lead is measurable.
Shortlist three local contractors to pitch once the first calls arrive.
🎥 Watch the full video on YouTube: https://www.youtube.com/watch?v=hjeX4RCC7iM
PS
You can knock these sites out in minutes with Aha Studio and add them to a workflow of AI Agents that do research, build your sites and even backlink them.
It’s done-for-you marketing while you watch teh AI Agents got to work for you.
4. Hack the First 200 Viewers: Two Algorithm Games, Two Playbooks
SUMMARY
Kallaway explains that every social algorithm’s job is to keep people on-platform, and it does that by fingerprinting your video, building a fit score, and pushing it to a 200-person sample. That sample’s reaction decides whether it gets nuked, retested, or amplified to 2,000, 20,000, 200,000 and beyond. “200 view jail” simply means the sample didn’t engage.
He splits strategy into two incompatible games. The conversion game (personal brand, high authority) treats the algorithm as a hunting mechanism to find buyers: disciplined topic selection, a mix of broad and narrow videos, trust-signalling formats (lab coat, office), substance one level above the buyer’s sophistication, and CTA comments to extract leads. He reports 0 to 95,000 followers in 5 months on his marketing page, 40,000 emails and over $100,000 attributable profit in the first 3 months; none of those videos passed 1M views by design.
The virality game is the opposite: broaden the topic TAM, use proper nouns with embedded meaning (the “UFC of robots”), take a bold contrarian stance that splits the comments, and either go raw-emotional or top-0.1% visual. His rule: specificity drives dollars, broadness drives virality, and they’re at odds.
KEY INSIGHTS
Two filters for conversion topics: does it bring new value to my buyer, and will it make them see me as an expert?
Too-narrow content makes the algorithm “lazy”; mix broad (whole slice) with narrow (bullseye) videos.
Content should sit one notch above the buyer: 4 to 5 out of 10 for beginners, 8 to 9 for experts.
In a niche with 1M potential buyers, 10,000 targeted views is excellent.
Virality: controversy in the comments is the strongest share loop.
Format signals trust by default: surgeon in the lab coat, realtor at the property, 4K and clean audio.
It’s rare to consistently hit viral bangers and high conversion with the same content.
ACTION CHECKLIST
Decide which game you’re playing: conversion or category virality. Not both.
Write a one-page avatar/positioning statement and use it to filter every topic.
Plan a 70/30 mix of narrow bullseye videos and broader slice videos.
Add a comment-keyword CTA to every conversion video to capture leads.
Audit your set and gear: does the visual format prove you are who you say you are?
🎥 Watch the full video on YouTube: https://www.youtube.com/watch?v=94ezZMYPzls
5. Faceless YouTube + Fiverr Affiliates: Match Search Intent to a Service
SUMMARY
Think Smart’s system pairs faceless, AI-made YouTube videos with the Fiverr affiliate program. He shows his dashboard and reports $150,743 over 3 months, $54,692 for the previous month and $384,327 year-to-date. He’s done affiliate marketing for 7 years and stresses it’s a lot of work; results vary and these are his claims.
The mechanic is search-intent matching. Type a question into YouTube’s search bar (“how to create a Shopify store”) and the autocomplete reveals what people want. Then search Fiverr for the matching service (Shopify website development), create a deep link in the Fiverr affiliate dashboard, and make a faceless video explaining how those sellers solve the viewer’s problem. The affiliate link sits in the description.
Why YouTube: it’s the second-largest search engine, so an SEO-optimised video can rank with zero subscribers and keep earning for years. He also notes Fiverr pays 10% revenue share on purchases for 12 months, which compounds. He focuses on YouTube and Pinterest for the same reason: both are search platforms, not feed platforms.
KEY INSIGHTS
Reported daily earnings of $2,000+ by September, up from $800 to $1,000 in January.
Use YouTube autocomplete as free keyword research.
Promote the service that solves the exact search, not a generic offer.
Fiverr affiliates: 10% rev share for 12 months on buyer purchases.
No face, no voice: AI handles the content; search handles the traffic.
Search platforms (YouTube, Pinterest) outlast feed platforms for affiliate content.
He sells a course; student results shown are his claims.
ACTION CHECKLIST
Join the Fiverr affiliate program and set up one deep link to a service category.
Pull 10 “how to” queries from YouTube autocomplete in that category.
Script and produce one faceless tutorial that routes the viewer to the service.
Write an SEO-optimised title and description with the link above the fold.
Repurpose the same video to Pinterest.
🎥 Watch the full video on YouTube: https://www.youtube.com/watch?v=39VMS9iE340
6. 33 No-Shows, Then One 5-Minute Video Changed Everything
SUMMARY
On ItsKeaton’s show, agency owner Kai describes booking 33 sales appointments in a row and watching every one no-show. The fix was a 2 to 5 minute VSL explaining exactly what the service does, what it costs and what the client gets, sent before the call with a line like: “If you hate it, tell me and I’ll cancel the appointment.” The 34th prospect showed up, said “saw the video, ready to go,” and closed in five to eight minutes. He credits that one change for growing to a reported $600,000 a month (results vary).
The psychology works on two levels. The prospect’s guard is down because watching a video doesn’t feel like being sold to. And you get unlimited takes to explain the offer at your best. Keaton says the same accidental discovery built his own agency to a reported $80K a month with almost no cold calling.
The offer itself was deliberately simple: a $297 a month website service with no setup fee. For cold outreach, the process is identical; you just tell them on the phone the video is coming.
KEY INSIGHTS
Pitching features (calendars, automations, bots) for 45 minutes got “we’ll think about it.”
Talk outcomes, not features.
The video does the selling; the call becomes a Q&A and payment step.
Frame the pre-call video as saving the prospect’s time, so they actually watch it.
Don’t build onboarding systems before you have a client. Action first.
Cold calling is a beginner’s training ground; paid ads are the long-term skill.
Keaton’s first VSL took him a month to make. Imperfect still worked.
ACTION CHECKLIST
Record a 2 to 5 minute video: what you do, what it costs, what they get.
Send it immediately after every booking with the “if you hate it, I’ll cancel” line.
Strip your pitch down to one simple price and no setup fee.
Replace feature demos with outcome statements.
Track show rate before and after the video for 30 days.
🎥 Watch the full video on YouTube: https://www.youtube.com/watch?v=63vTQ5U0C_U
7. Why Your Old Marketing Stopped Working (and the 5-Step Fix)
SUMMARY
Bill McIntosh names three reasons traditional digital marketing is failing. One: trust has eroded since its pandemic peak; buyers are burned out, can research you instantly, and faceless brands lose. Two: ad saturation, with up to 10,000 messages a day, drives up CPCs and CPAs. Three: AI slop makes it hard to know what to believe. The result: 90 to 99% of first-time visitors don’t buy, and purchases take multiple touchpoints.
His answer is an engineered customer journey. Capture the lead before asking for the sale, using a lead magnet that helps on the spot (he uses an assessment/quiz that returns personalised advice, not a generic PDF). Then follow up by email (optionally SMS) with a sequence that quietly dissolves objections while feeling like education. He cites a $36 to $42 return for every $1 spent on lead capture and email follow-up, though no source is given.
The demo uses his own tool, Buildi.ai (he’s CEO and co-founder), to build an assessment funnel for adult children of aging parents, run persona research, and generate a 7-day email sequence personalised to each respondent’s answers. Treat the product claims as his.
KEY INSIGHTS
Almost nobody buys on first contact; design for multiple touches.
Lead capture can turn 1 to 2% buyers into 10 to 60% opt-ins you can follow up with.
The lead magnet should deliver immediate, specific help, never a bait-and-switch.
List every objection, worry and frustration first, then write one email per objection.
Make follow-up feel like enlightenment, not objection handling.
Humanise the brand: real people, not a faceless company.
Run a second selling sequence only after the trust sequence completes.
ACTION CHECKLIST
Replace your PDF lead magnet with a quiz or assessment that gives tailored output.
Write down every objection a prospect has before buying from you.
Build a 7-day, one-email-per-day sequence that addresses one objection each, framed as help.
Add a second 7-day sales sequence that follows the trust sequence.
Put a real human face on your homepage and emails.
🎥 Watch the full video on YouTube: https://www.youtube.com/watch?v=ClEm29gLe-M
8. Run One AI Chat for Months Without It Getting Dumb
SUMMARY
Dylan Davis says OpenAI staff now run single AI threads for months, and the old “start fresh chats often” advice still holds for most work but backfires on one kind. Two things changed: compaction (the AI summarises long conversations to itself so intelligence doesn’t fall off a cliff) and native memory in Claude and ChatGPT. He notes the benefit is far stronger in desktop agents like Claude Cowork and Codex than in the browser.
He proposes two setups. Setup A, for 95% of tasks with a finish line (proposals, reports, contracts): a dedicated folder with an instructions file (claude.md or agents.md) and a memory file the AI updates with short, dated lessons. Fresh chat each time, but with accumulated preferences. Setup B, for endless tasks that benefit from yesterday’s context (an inbox assistant, monitoring a 6 to 12 month project): one pinned thread, still opened from a folder, with a memory file and an “open loops” file tracking who owes what.
Two rules keep both working: keep memory files under 150 to 200 lines and prune monthly into an archive, and when a long thread degrades, ask for a 1 to 2 page handoff document and start a new thread in the same folder.
KEY INSIGHTS
Six months ago, AI intelligence dropped sharply after about 50% context fill.
Setup B test: no finish line, and today’s work benefits from yesterday’s. Both must be yes.
A client is a topic, not a task: parent folder, then one subfolder per task.
Memory file instruction: “add a short dated line; never overwrite old lines.”
Open-loops file: who owes me, who I owe, what we’re waiting on, updated each session.
Signs of degradation: forgetting obvious facts, contradicting itself.
Pruning: flag stale or repeated lines, move to archive, show changes before applying.
ACTION CHECKLIST
Create one folder per recurring finite task with an instructions file and a memory file.
Add the “log corrections as short dated lines” instruction to each.
Pick at most one endless task (inbox, project monitoring) for a pinned thread.
Schedule a monthly memory-file prune, keeping it under 200 lines.
Before retiring any long thread, request a handoff document.
🎥 Watch the full video on YouTube: https://www.youtube.com/watch?v=2M4CCe_KDSQ
9. The $50K Internal Linking Test: Clicked Links Carry More Weight
SUMMARY
Edward Sturm breaks down a Black Hat World post from a 9-year SEO (“Digital Media Lab”) who says he spent over $50,000 across 15 websites testing internal links. His headline findings: ad RPMs rose up to 150% with more and better internal links (10+ per page minimum), there was no ranking decline even past 20 links per page, “crawled, currently not indexed” problems vanished once every page had at least five links in and out, links placed higher (relative to other internal links) carried more weight, and clicked links correlated clearly with ranking gains. Note this is an anonymous forum claim.
Sturm backs it with Dan Petrovic’s 2012 PageRank split experiment, where a link from a page carrying 4,225 outbound links still moved a test site from position 79 to 3 in about three weeks, and with an expired Google patent, “Ranking documents based on user behavior and/or feature data,” which describes weighting links by their probability of being clicked using browser data.
His conclusion: link equity isn’t spread evenly. Links people click matter more, both for the page they sit on and the page they point to.
KEY INSIGHTS
Up to 150% RPM lift reported from denser, smarter internal linking.
10+ internal links per page minimum; 20+ showed no penalty.
5 links in and out per page to avoid indexing limbo.
Position matters relative to other internal links, not relative to the intro.
Link by topical similarity sitewide, not by category or tag.
Same tab vs new tab: no observed ranking difference.
The patent describes training a click-probability model on real user link clicks.
Google already uses click behaviour in SERPs (Navboost), so link clicks are plausible too.
ACTION CHECKLIST
Audit your top 20 pages and bring each to 10+ contextual internal links.
Ensure every page has at least 5 links pointing in and 5 out.
Move your most important internal link above the others on the page.
Choose link targets by semantic similarity, ignoring category silos.
Track internal link clicks in analytics and watch for ranking correlation.
🎥 Watch the full video on YouTube: https://www.youtube.com/watch?v=biy8lLxTzqc
10. 250 KDP Books, 140 Flops: 8 Lessons From a Reported $1.7M Publisher
SUMMARY
Kevin Faggioli says he published 250 books on Amazon KDP over six years, that more than 100 failed, and that the winners produced over $1.7M in royalties plus a business sale taking the total past $2M. He now reports $50K+ a month at 70% net profit. He doesn’t write the books. Results vary and these are his figures.
His lessons centre on validation before production. Define the buyer and the moment that sent them searching (“a mom whose kid was just diagnosed with dyslexia”), and if you can’t say it in one sentence, don’t open Canva. Cover, title and price are the entire ad; if people see it and don’t click, fix packaging, not bids. Set a kill date and budget before publishing, then diagnose layer by layer: no views is visibility, no clicks is packaging, no sales is promise vs price, returns is interior.
Amazon rewards customer behaviour, not keywords: he says 80% of his titles no longer contain keywords and sell better. When a book works, build the next product for the same buyer rather than jumping niches. Keep decisions human and let AI do the volume. And the boring category that outperformed his first 10 books combined: “high value, low content,” where the idea-to-market-feedback loop is fastest.
KEY INSIGHTS
140 of 250 books were a waste of time; kill losers early with pre-set rules.
The Amazon listing has no body copy: cover + title + price is the pitch.
Example: “My Secret Playbook of Life” reportedly outsells keyword-stuffed competitors at ~$400 a day with the same content.
Reviews arrive after a book is already converting; fit beats review count.
Expansion is cheaper than new launches: same buyer, next product.
Asset test: would the business survive you disappearing for 3 months?
Start at the bottom of the KDP pyramid (low content) before non-fiction or fiction.
ACTION CHECKLIST
Write a one-sentence buyer statement for your next product before designing anything.
Define the test window, max loss and go/no-go metric before publishing.
Diagnose a stalled listing in order: visibility → packaging → promise/price → interior.
For your best seller, list three follow-on products for the same buyer.
Document every decision rule so someone else could run the business.
🎥 Watch the full video on YouTube: https://www.youtube.com/watch?v=9ZoUYTutH6E
11. Stop Telling Your Story: Lead With Primary Messaging
SUMMARY
Donald Miller’s argument is that most businesses lead with secondary messaging (their story, values, goals, vision, why they’re better) when customers only respond to primary messaging: you’re the hero, you have a problem, we care, we’re competent to solve it, here’s how, and here’s your life afterwards. He cites a branding firm that named an event space “Wellplaced Smile” after the founder’s favourite poem; everyone assumes it’s a dentist.
The one piece of “your story” that belongs up front is the guide’s backstory, and only the part that proves you care about the customer’s problem and are competent to solve it. Miller’s own keynote story (a fan on a plane praising his books without recognising him) exists to position him as a proxy for the audience’s messaging problem, not to share his biography.
His five-second website test: can a stranger tell what problem you solve, what their life looks like afterwards, and how to buy? If not, you’re leading with secondary messaging and losing money. Keep it about the customer for several interactions; your story can come after purchase.
KEY INSIGHTS
Primary: why we care, why we’re competent, how we solve it (products, process, result).
Secondary: your goals, company history, values, vision, “why we’re better.”
Making your process visual activates more of the brain than text alone.
Survival asset vs survival liability: brains buy from people who think about them.
Competitors stuck on secondary messaging lose by default.
The bad-date test: the guy who talks about himself all dinner doesn’t get a second date.
Secondary messaging becomes more acceptable the longer the relationship lasts.
ACTION CHECKLIST
Run the five-second test on your homepage with someone who’s never seen it.
Rewrite your above-the-fold copy to state the problem you solve.
Add one sentence describing the customer’s life after the problem is solved.
Make the “how to buy” step obvious in one glance.
Turn your process into a simple visual roadmap.
Move company story, values and vision below the fold or to post-purchase.
🎥 Watch the full video on YouTube: https://www.youtube.com/watch?v=wYCsbGt76Z8
12. 400 Views, $24K Launch: Why Teaching Everything Kills Sales
SUMMARY
Steven Thompson, a former detective now approaching 50, argues that “teach everything for free” is the wrong step for over-40 creators. He ran a 1,400-member Facebook group during COVID that he says rarely made a penny. His core claim: fully teaching something confirms the belief that it’s all available free, feeding the exact objection that stops the sale. What people actually pay for is someone beside them when they get stuck at 9pm.
He dismantles six inherited beliefs: you’re too old (he says client Rose, a travel consultant in her 60s, brought on six clients at $2,500 each before posting a single video); niche down (YouTube now clusters by people, not shelves, so breadth builds the cluster); build an audience first (he reports a $24,000 cohort launch from videos averaging 400 views, because those viewers had already changed their minds because of him); high production (imperfections are now the signal that a human made it); keep giving free value; and “the algorithms were built for 25-year-olds.”
The shift he recommends: stop teaching in most videos and start shifting beliefs through stories, like the Ted Lasso darts scene. He sells a YouTube Business Action Plan and a cohort programme, so results are his claims.
KEY INSIGHTS
Reported $24K launch from 400-view videos: viewers who think differently beat more viewers.
About one proper teaching video a month; the rest shift beliefs.
Since he stopped teaching, he says views, loyalty and revenue all rose.
YouTube reads people now, not titles: niche the person, not the topic.
In 2026, stumbles and stray cats on camera prove a human is present.
Your age and experience are the product, not the obstacle.
Free teaching builds a library people never have to leave.
ACTION CHECKLIST
Cut full start-to-finish tutorials to one a month.
Replace them with videos that land one belief through a story.
Define the one person your content serves, across all your topics.
Keep natural imperfections in your next edit.
Make an offer to your current audience before chasing more subscribers.
🎥 Watch the full video on YouTube: https://www.youtube.com/watch?v=dIu31c1aMmY
13. Competitor Heist: Find Their Traffic Pages and Write Them Better
SUMMARY
This one is mine. Competitor Heist is a new AI worker inside Aha Studio, an updated and fully automated version of the Traffic Thief app we built a few years back. Enter a competitor domain (I used backlinko.com) and your own site, and it pulls the competitor’s pages ranked by traffic, flags pages missing from their sitemap, and shows monthly visits, main keyword search volume and word count for each.
Tick the pages you want, paste a URL for your call to action (the AI reads the page and writes a fitted CTA), and click “write better pages.”
In the demo it returned a 2,027-word article with five sections, four FAQs, tables, content-matched images, a research tab showing which top-10 ranking entities were used, and a desktop/mobile/Google preview.
There’s a “my take” box: drop bullet points, voice notes or a YouTube transcript and it weaves them into a coherent section for uniqueness.
Publishing goes to Netlify or WordPress in seconds. Updates in progress: GPT-generated infographics, a PDF checklist gated behind an opt-in, verified-only stats and data, and embedded tools (quiz or calculator) per article.
Still needs human editing before it goes live on a real site. Aha Studio went from 6 workers to 26 in under a week and the workers chain into playbooks (keyword research → site sniper → backlinks → speed writer).
Obviously my product, so take the enthusiasm as mine.
KEY INSIGHTS
Target pages proven to drive competitor traffic rather than guessing topics.
Pages missing from a sitemap can hide in-depth content worth replicating.
The CTA is generated from your own sales page, not a template.
Four uniqueness layers: stats and data, your take, a gated content upgrade, an embedded tool.
The checklist opt-in exists because traffic without an email list is wasted.
Only verified, sourced stats get used; unsupported claims are excluded.
Workers chain into automated workflows, including social posting via Speed Writer.
ACTION CHECKLIST
Pick one competitor and pull their top traffic pages.
Choose two pages where you can add real experience or data.
Add your own take via bullet points or a voice note before publishing.
Gate a checklist or PDF behind an opt-in on every recreated page.
Human-edit, then publish to WordPress rather than a throwaway host.
🎥 Watch the full video on YouTube: https://www.youtube.com/watch?v=JkUuqSsqb4o
Early Bird pricing For Aha Studio ends at midnight
you still have time to lock in your price.
Talk soon,
Tony