Kane Mitchell
3.4K posts

Kane Mitchell
@Kano88
WordPress Developer who hasn't learnt React or Vue but still uses jQuery! Husband & Dad in the North East, UK
Middleton-in-Teesdale Katılım Ocak 2009
1.6K Takip Edilen491 Takipçiler

I got a local pest control company recommended by ChatGPT by exploiting one simple content gap.
No website redesign.
No new reviews.
No marketing budget.
Here's exactly how:
Most people think pest control companies get AI recommendations from:
- HomeAdvisor profiles
- Google Maps visibility
- Angi reviews
Wrong.
AI recommends pest control companies from whoever creates the most helpful, structured comparison content.
The strategy:
1. Search ChatGPT for "best pest control in [city]"
You'll notice AI either gives generic advice or mentions big national chains. Almost zero local companies show up. That's the gap.
2. Write a "Local Pest Control Comparison Guide"
"2026 Phoenix Pest Control Guide: Services, Pricing, and Top Rated Companies for Every Pest Type"
3. Include a comparison table organized by pest type
Columns: company name, ants specialist Y/N, termites, rodents, scorpions, initial inspection cost, monthly service rate, eco-friendly options.
4. Publish on Medium, LinkedIn, and distribute via press release
Cost: $150-200 total
Time: 3-4 hours
5. Create a follow-up "Seasonal Pest Guide" for the city
"Spring 2026 Phoenix Pest Prevention Guide" with your client mentioned as the recommended solution.
Why this works:
Pest control is one of the most underserved niches in AI recommendations. There's almost no structured comparison content. The first company to create it wins every AI query.
The takeaway:
Industries with zero AI-optimized content are goldmines. Pest control, HVAC, and plumbing are the easiest niches to dominate in AI recommendations right now.
Comment "LOCALRANK" if you want my LLM citation framework and I'll DM it to you (Must be following)

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My current local SEO tool stack for dominating Map Pack rankings (where 90% of my research and optimization happens)
1. BrightLocal - comprehensive citation tracking, local rank monitoring, and Google Business Profile audit functionality
2. LocalFalcon - hyper-accurate rank tracking that shows Map Pack positions from different geographic points within your service area
3. Whitespark - local citation building, citation cleanup, and local search result analysis
4. Google Search Console - essential for discovering local search queries and identifying indexing issues with location pages
5. Semrush - local keyword research with city-specific search volumes and competitor analysis
6. ReviewTrackers - automated review monitoring across all platforms and review response management
Here's how I work across them:
Mondays: Use LocalFalcon to check weekend ranking changes and identify any sudden drops that need investigation
Wednesdays: Review Google Search Console performance data for new local keyword opportunities and technical issues
Fridays: Analyze BrightLocal reports for citation inconsistencies and competitor movements
The game-changer? Using LocalFalcon's heat map feature to see exactly where your business appears in Map Pack from different locations within your service area. For example, a plumber might rank #1 for searches from the north side of town but not appear at all for searches from the south side.
My average client ranking improvements increased significantly once I started using location-specific rank tracking instead of relying on general city-wide rankings.
I also integrate Google Business Profile Insights data weekly to understand how customers find and interact with listings - whether they're calling, visiting websites, or requesting directions.
The secret isn't using the most tools - it's systematically analyzing data from the right tools to make informed optimization decisions. Each tool provides different insights that combine to create a complete local search performance picture.
Local SEO success requires understanding micro-geographic ranking variations and customer behavior patterns that only specialized tools can reveal.
Comment "LOCALRANK" if you want my LLM citation framework and I'll DM it to you (Must be following)

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@brendantully00 @Vultr Just London though, my Manchester ones are ok.
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@Vultr whats going on guys - uk data center appears to be offline
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@DerekAshauer I’m exactly the same. Cursor works fantastic in my workflow.
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🚀 ACF & ACF PRO 6.6 now available.
This release introduces the all-new ACF Blocks V3, bringing a more powerful and native block editing experience, plus other new features and improvements.
✨ All-new ACF Blocks V3 with a sidebar editing UI
🏷️ Clarify field groups with Display Titles
🎨 Define custom palettes for the Color Picker
✅ Opt-in adoption for V3 - V2 blocks continue to work as normal!
advancedcustomfields.com/blog/acf-6-6-r…

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I just built an AI agent that notifies you in real time when your competitors launch new Facebook ads
when it triggers, it:
- pulls the creative and script
- summarizes the hook, characters and the script
- spots trends from past launches to show what’s working
then it emails you a google doc with tailored hook ideas and ad angles personalized to your product
comment “spy” and I’ll DM you the walkthrough (must be following)
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@ThorpeAcrefc 👏👏👏 great commitment. Well done.
Ps. When will the new captain be announced?
#ManagersSon
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I created this LinkedIn account just 32 weeks ago. Easiest algorithm to crack by a country mile. Since then, I’ve added $35,000 to my pipeline, built 7,000 new connections, logged 1,524,002 impressions and reached 490,507 members.
Today I'll give you my exact system so you can easily replicate it with your own accounts.
And if you want the full cheat sheet, including the latest engagement group templates, DM workflows, and carousel strategy, follow me, repost this, and comment “LinkedIn growth guide" and I'll DM you. You must do all 3 to get the DM.
Let’s break it down...
Most people are still using LinkedIn like it’s 2022, but the platform has evolved fast in the past 6 months.
If you want reach, leads, and inbound traffic today, here’s the system:
I post 3x per day, 7 days a week.
The more consistently I post, the more my impressions and DM volume compound.
When I stop, it dips. No mystery.
Best performing formats right now:
Carousels
Use frameworks, teardown examples, and “how I did it” content
Always open with a bold, benefit-focused first slide
Native short videos (with subtitles)
Show dashboards, product flows, client stories
Subtitles now auto-preview in-feed, your first line matters
Text posts
Hook + whitespace + strong POV = repeatable reach
“Mini-threads” (3–5 bullet takeaways) are outperforming traditional block text
GIFs
Still working as scroll-stoppers, especially when used with a story or walkthrough
Underperformers:
Tweet-style image posts are mostly dead (unless paired with humor or novel insight)
External links in the post body still crush reach, drop links in comments or DMs
Winning Post Combo:
Text post summary + carousel + pinned CTA comment
(“Comment SEO if you want the full breakdown”)
Now let's talk timing.
Afternoons (1–3 PM local) remain top performing for me
Sunday evenings are still a cheat code; low competition, high visibility
10 posts = 1 reliable winner
30 posts = 3–5 strong ones
50+ posts = something always breaks out
Volume ≠ spam. Volume = leverage.
Now let's talk engagement.
In 2025, LinkedIn growth = comment visibility + relationship depth.
Here’s what I focus on daily:
Comment on 20+ posts in my vertical
Like 50+ posts (focus on mutuals and adjacent creators)
Reply to every comment on my own content
Repost 1–2 top-performing posts with my take
LinkedIn tracks comment velocity and diversity. Meaning:
Early comments = better reach
More unique commenters = stronger signal
Same 3 people every time = reach suppression
Don’t just write “Nice post!”
Instead, answer a question, add context, or share a related win.
Let me also briefly touch on engagement groups.
Here's how they've been working for people who use them:
Build a group of 5–10 active creators
Each member likes + comments within the first 30–45 minutes
Rotate who engages first to avoid pattern detection
Add strategic reposts with POV, this now boosts visibility again
Use a shared Notion or Slack channel to coordinate daily posts and feedback
Also hre are some high-converting hooks I've seen:
“Here’s how we added $10K in MRR without paid ads”
“This post landed me 3 demo calls in 48 hours”
“LinkedIn is still overlooked in 2025. Here’s how I’m using it to win”
“I spent 30 days doing X. These are the results”
“If I had to start from zero on LinkedIn today, here’s what I’d do”
Pair these with proof (metrics, screenshots, comments) and watch the DMs flood in.
So here's your checklist:
Post 3x per day
Comment on 20+ relevant posts
Like 50+ posts
Reply to every comment
Repost 1–2 valuable posts with your POV
DM 5–10 new connections strategically (value-first)
LinkedIn is still the highest-leverage platform for revenue and reach in 2025.
This system works. It compounds. It’s free.
Use it for the next 30 days and screenshot your numbers on Day 31 and @ me.
And remember, if you want the full cheat sheet including the latest engagement group templates, DM workflows, and carousel strategy, follow me, repost this, and comment “LinkedIn growth guide.”




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leaking every n8n agent i’ve shared on X
20+ production‑ready flows + a 1,500‑template repo - free to clone
inside the drop:
- my most popular n8n builds (meta co-pilot agent, X viral scraper agent, tik tok trend minder, b-roll producer and more)
- 1,500‑flow n8n template index (tagged by growth, ops, creative) so you never start from scratch
- full vibe‑coding tutorial where I go from basic n8n backend to Bolt front‑end UI in 23 min
basically everything you need to crush AI automation + vibe coding in one folder.
reply "LEAK" + retweet and i'll send it over (must be following so i can dm)

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Kane Mitchell retweetledi

EXPOSED: 200+ AI Agents have been LEAKED...
These Agents SELL for $5,000+ per build and cover 20+ industries...
Inside the file you’ll get:
→Social Media Agents ($8k+)
→Creative Content Agents ($3k+)
→Cold outreach Agents ($3k+)
→Lead Booking Agents ($6k+)
→Customer support agents ($5k+)
→Data & Scraping Agent ($8k+)
→Lead qualification agents ($4k+)
→Productivity, HR, Analytics, DevOps & legal Agents also!
100s of plug & play systems that save you time AND money.
Follow + RT + Comment “AGENTS” and I’ll send you the drive for FREE!
BONUS: An n8n Masterclass, so you know how to run, customize, and scale every workflow.
PS: I'm only keeping this live for 48 hours. After that, it's back to $5k+ per agent. Your move.
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I just finished building a RAG-powered AI Agent for agencies & SaaS teams
It turns your Google Drive into an intelligent AI assistant that answers questions instantly
- Auto-embeds all documents into vector database
- Smart retrieval with perfect accuracy
- Context-aware responses with sources
- 24/7 knowledge assistant for your team/Clients
- Saves 20+ hours/week on knowledge retrieval
- 50% faster employee onboarding support
This system is worth $15K, but today it's FREE
👉 RT + Like & Comment "RAG" and I’ll DM the JSON file
No opt-in, no BS
(Must be following)
Need all 3 done or else my AI agent won't find your handle

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@sanjanafeasts Oh man @sanjanafeasts. Keep smiling and keep making content ♥️
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