glovvva
351 posts

glovvva retweetledi

I mapped every AI automation opportunity across 25 industries.
10-15 pain points each. With the exact positioning, pricing range, and who to sell to.
This took me 4 years and 80+ client engagements to figure out.
A lot of AI agencies pick a niche and pray.
They don't know the actual pain points.
They don't know who the buyer is.
They don't know what these companies are already paying for broken solutions.
They don't know what the realistic project size is.
So they end up competing on price for generic "AI automation" gigs.
I've worked with marketing agencies, recruiting firms, e-commerce brands, law firms, real estate companies, healthcare practices, financial services, SaaS companies, manufacturing, construction, logistics, and more.
Every single one has 10-15 processes that are bleeding money because they're still done manually.
Here's what the guide covers for each industry:
→ The top 10-15 automation pain points (ranked by ROI)
→ Who the actual buyer is (CEO, COO, ops manager, etc.)
→ What they're currently paying for manual labor or broken SaaS
→ Realistic project pricing ($5K-$60K+ depending on scope)
→ The discovery questions that unlock the deal
→ How to position yourself as the expert even if you've never worked in that industry
→ Red flags to avoid (industries and company sizes that aren't worth it)
25 industries and 300+ specific automation opportunities.
This is the cheat code for picking your niche and knowing exactly what to sell before you ever get on a call.
Like + RT + reply "NICHE" and I'll send you the full guide (Must be following so I can DM)

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glovvva retweetledi

Everyone treats cold email like some outdated channel.
Meanwhile it pushed $620K IN 45 DAYS FOR US
With zero ads, funnels, or brand hype.
Most people send “cold emails.”
We run a system:
- Leads sorted by intent, not random industry buckets
- Messaging written for the role, not the company
- Deliverability stacked so every email lands
- Automated testing running 24/7
- Personalization that doesn’t require manual writing
I put everything into this breakdown:
Targeting, scripts, angles, deliverability, automation, flows — the whole thing.
Comment “EMAIL” + Repost and I’ll DM it.
(must follow for DM)

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glovvva retweetledi
glovvva retweetledi

R.I.P. $200K/year presentation teams.
$45K in retainers last month. Every proposal took 5 minutes.
No designers. No formatting. No revision cycles. Just a prompt, and a client-ready deck.
→ No more 2-3 hours building a single proposal
→ No more hunting templates and fixing alignment manually
→ No more waiting on a designer who's booked until Thursday
→ No more losing deals to whoever replied first
→ No more sending V4_FINAL_FINAL.pptx at midnight
Just type what you need → AI builds the full deck inside PowerPoint.
Here's how it works:
→ Type your brief in plain language
→ AI asks clarifying questions before building anything
→ Full deck generated inside PowerPoint, not some proprietary tool
→ Brand guidelines, pricing, legal disclaimers all auto-populated
→ Download a real .pptx, open it, edit it, send it
Same infrastructure behind KPMG, BDO, Adobe, and Cisco's document workflows.
4 million professionals use it daily. BDO saved $1.65M in year one from this alone.
Templafy just made it free. No credit card. No trial wall.
Like + comment "DECK" + repost, and I'll DM you the full deployment blueprint.
(must be following)
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glovvva retweetledi

if you were wondering what market to sell AI to, wonder no more.
This is a clear ICP map of your options
Comment “ICP” and i’ll send you a guide of exactly how to sell AI to these businesses
(must follow + rt so i can message you) (:
THE SHORT BEAR@TheShortBear
Services: The New Software Sequoia on the next $1T opportunity map.
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glovvva retweetledi

One of the most overlooked growth engines right now?
LinkedIn + Claude AI.
When paired with a smart publishing system, it becomes a seamless workflow for drafting, polishing, and distributing premium thought-leadership assets — from articles to viral carousels. The real advantage? Authority at scale.
Using this exact method, professionals are stacking inbound leads and brand reach simultaneously. With just 3–5 polished posts, the snowball effect kicks in faster than most expect.
𝐈 𝐨𝐫𝐢𝐠𝐢𝐧𝐚𝐥𝐥𝐲 𝐩𝐥𝐚𝐧𝐧𝐞𝐝 𝐭𝐨 𝐩𝐚𝐜𝐤𝐚𝐠𝐞 𝐭𝐡𝐢𝐬 𝐬𝐲𝐬𝐭𝐞𝐦 𝐚𝐬 𝐚 $199 𝐦𝐢𝐧𝐢-𝐜𝐨𝐮𝐫𝐬𝐞.
𝐁𝐮𝐭 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐧𝐞𝐱𝐭 48 𝐡𝐨𝐮𝐫𝐬, 𝐈’𝐦 𝐬𝐡𝐚𝐫𝐢𝐧𝐠 𝐢𝐭 𝐟𝐨𝐫 𝐟𝐫𝐞𝐞.
Get it:
• Follow Me: @Tech_Marsha [𝐍𝐨 𝐅𝐨𝐥𝐥𝐨𝐰 = 𝐍𝐨 𝐃𝐌]
• Like & RT (This post)
• Comment “ ON ” [MusT]
• I’ll send you the full training and the AI publishing workflow.
(𝐅𝐨𝐥𝐥𝐨𝐰 @Tech_Marsha 𝐬𝐨 𝐈 𝐜𝐚𝐧 𝐃𝐌 𝐲𝐨𝐮 𝐭𝐡𝐞 𝐥𝐢𝐧𝐤)

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This quarter, I’ve closed multiple $1M+ without a slide deck.
I’m using a single AI tool. Today, I want to share it, free.
After signing, a prospect asked me how we created the site. They were so wow-ed they wanted it for their own clients.
Here’s what floored them: it took a single designer 5 minutes to prompt and launch.
The AI chains together 6 key parts of our sales process, turning a 18-page deck into a single, personalized website.
When they asked, I gave them this template and workflow.
Now I want to share it for free:
Follow me + comment “GA” and I’ll DM it.
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glovvva retweetledi

ChatGPT is investing $600,000 in SEO talent. They also stole Netflix's SEO expert.
Claude is offering $320,000 for an SEO Lead.
Meta is offering $300,000 for an SEO Manager.
Why are all these AI companies suddenly desperately trying to add SEO talent in 2026?
Simple.
It is the same reason SEO Stuff is coming off another record month (see my pinned tweet).
seo-stuff.com
SEO, when done correctly, is one of the most reliable revenue drivers a company can have.
It is also the single biggest component of any legitimate AI search optimization strategy.
As an example, here is how one customer SEO customer currently does just under $100,000/month from search traffic alone.
This business operates in one of the most competitive and trust-heavy business categories.
Not only has their traffic grown exponentially, but their AI search visibility increased multiple times over, their AI Overview and ChatGPT citations became consistent and their rankings expanded across high-intent queries.
Here’s the exact formula:
This brand has a surprisingly low DR and is competing against networks, enterprise platforms and VC-backed companies with massive compliance and marketing teams.
So how did they do it?
Well, most similar sites publish content designed to sound safe and educational, but not content designed to rank or get cited.
That content looks fine to humans who are already on the site and don't care anyway, and is useless to AI systems.
(Want to know if your site is AI-search ready? Check here: seo-stuff.com/free-audit)
This client rebuilt content around commercial intent.
Instead of generic education posts, they focused on pages people actually search for when choosing:
“Best [service] providers”
“Top [service] [place]”
“[Service] for [specific customer base]”
“[Service] options compared”
“[Competitor or platform] reviews”
Each page was written so every paragraph could stand alone as a complete answer.
That is exactly how Google AI Overviews, Gemini, and ChatGPT extract and reuse content.
Then they structured pages for AI extraction.
Every page followed the same structure:
TL;DR at the top answering the core question directly
H2s written as buyer questions
Two to three short, factual sentences under each H2
Lists and clear statements instead of opinion-heavy copy
This is why AI citations started appearing early and then kept compounding as authority increased.
Then came the authority building.
Content alone does not work in this industry.
Trust signals matter more here than almost any other niche.
The focus was not link volume.
It was signal quality and consistency.
DR50+ niche-adjacent domains only
Sites with real organic traffic and AI visibility
Contextual anchors like “[service] provider” and “[service] [location]”
Consistent mentions tying the brand to its specialty and geography
This created a clean entity graph that both Google and AI systems could understand and trust.
Then came brand and regional trust signals.
Once authority was in place, we reinforced brand clarity.
This is critical for AI search.
This involved:
Embedding brand, specialty and location into schema
Creating reviews, about, and team pages with structured data
optimized meta descriptions with trust-forward language (though this is less important now that Google is rewriting the majority of them)
Increased internal brand mentions without keyword stuffing
This creates a feedback loop where Google rankings reinforce AI citations, and AI citations reinforce Google trust.
Then came the internal linking.
Internal links were used to pass context.
Service pages linked to supporting comparison and related content
Blog posts linked back to service pages
Anchors reflected intent, not generic phrases
This made the site hierarchy obvious to both crawlers and language models.
Then came the scaling.
More AI-optimized comparison and “best of” pages
Clean, schema-friendly structures
Built-in FAQs and TL;DR summaries
These pages now fuel steady growth across Google and AI systems without ad spend.
If you want to replicate this:
Build content around buyer intent
Use question-based H2s with short, extractable answers
Add TL;DRs to every page
Build DR50+ backlinks from relevant domains
Strengthen brand and location signals
Interlink semantically
Do this for 60 to 90 days and you’ll start seeing the same pattern:
Steady rankings.
AI citations.
Compounding traffic.
Or skip the work and let SEO Stuff do it for you.
Gold Plan
seo-stuff.com/gold-plan-pack…
Premium Content Bundle
seo-stuff.com/premium-conten…
There’s a reason more than 80 percent of SEO Stuff customers reorder.
And if you want some "unconfirmed" cheat codes we've been using to boost traffic from Google and ChatGPT, just RT this and reply "AI SEO cheat codes" and I'll DM you.




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In 2026, Claude became my co-founder.
Not an assistant a system running 40% of my agency ops.
I packaged everything into one resource:
→ Claude Projects Architecture
→ Claude Code Setup
→ Claude + n8n MCP
→ Claude Skills Blueprint
→ Query MCP + SEO MCPs
200+ hours to build. Free for you.
If you want it:
Like + Comment “NEED”
I’ll DM you the details.
Make 2026 the year you stop using AI like a search engine. ❤️

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if you're interested in knowing how I did this
drop a comment and I'll send over the process
Michael Davidson@mike_revenue
Built ai systems + automation infrastructure for one of the largest peptide manufacturing companies in California the market is WIDE open still especially in niche, high-drag verticals
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