Anna York

SEO meets AI | 10x Your Brand's Success with Proven Tactics 📈 | Follow ➡️ for actionable How-to guides!

SEO used to be about keywords.

Now it’s about infrastructure.

AI is everywhere.

Prompts. Tools. Automations. Content at scale.

But most teams are still operating without a system connecting demand, decisions, execution, and feedback.

So AI feels powerful yet chaotic.
Content volume increases but growth doesn’t compound.
Experiments happen but nothing scales.

Because AI is being used as a tool.

Not as an operating layer.

Infrastructure means growth that runs without constant manual intervention.

That’s what I build.

I architect AI-powered SEO systems that turn organic growth into a self-improving engine.

Not isolated workflows.
Not scattered automations.

AI agents that continuously:

• Identify real search demand
• Prioritize based on business impact
• Orchestrate production across channels
• Feed performance data back into strategy

That feedback loop is what compounds.

That’s not automation.

That’s architecture.

As Founder of Growth Architecture Studio, I help founders and marketing teams move from scattered AI experimentation to a production-ready SEO engine in 3 weeks.

No hacks.
No generic prompt libraries.
No “AI for the sake of AI.”

Just systems designed to scale without adding headcount.

Over the past 9+ years, I’ve worked with startups, scale-ups, and enterprise teams, partnering with platforms like Semrush, Ahrefs, Pipedrive, AIOSEO, and Weglot.

Named one of LinkedIn’s Top 12 AI Voices to Follow.

AI is accessible to everyone.

Infrastructure isn’t.

If you’re ready to turn AI into leverage — not noise —
let’s build the system behind your growth.

Member

"Brand30" is a 30-day challenge designed to help you create a personal brand on LinkedIn.

If you’re still celebrating ranking #1 on Google…

You might already be invisible.

Last quarter, a brand ranked #1.

Traffic still dropped.

Why?

Because one keyword now activates 4 visibility layers:

🔹 AI Overviews answering the query directly
🔹 Paid ads dominating above the fold
🔹 Maps capturing high-intent searches
🔹 Organic pushed further down

Ranking #1 ≠ Owning search anymore.

Search has shifted from SEO…
to full Search Experience Optimization.

Most brands optimize one layer.

The smart ones dominate all 4.

That’s exactly why I created an AI-Visible Playbook.

It breaks down:

• How to appear in AI Overviews
• How to protect organic CTR
• How to structure content for AI + SEO
• How to expand visibility beyond rankings

📩 Link in the comments


P.S. For deep Google Business Profile (GMB) strategy, I recommend following my colleague Mike Forgie. He’s a true specialist in that space.


P. P.S. Once you see the graphic with Google Maps, it becomes pretty clear it’s not Generative Engine Optimization. 
Even SEOs should take a day off from acronyms sometimes. 😉 💙

SEO meets AI | LinkedIn Top 12 AI Voice to follow in Europe | Practical guides

Meta is hiring an SEO Strategy Manager for $152K–$213K!

Let that sink in.

One of the most advanced tech companies
…is investing heavily in SEO.

But SEO today isn’t just Google.

It’s everywhere people search.

TikTok → discovery 
YouTube → tutorials 
Reddit → opinions 
Google → answers 
LinkedIn → expertise 
Instagram → inspiration 
X → real-time insights 
Amazon → product research 
Pinterest → ideas


Because people don’t just Google anymore.
They search everywhere.

The real question is:

Where are you investing in visibility right now?

Is your About page ready for the AI era? 🤖

Smart people are now optimizing for what comes next:
👉 Answer Engines like ChatGPT, Perplexity, and Claude.

This is where AEO (Answer Engine Optimization) comes in.

Not keyword stuffing.
Not longer copy.

But structuring your content so AI systems can clearly understand:
– who you are
– what you do
– and why you’re the right answer to trust.

Here’s the overlooked part:

Your About page is the GOLD standard for this. 🔥 

It’s the primary source AIs use to form an opinion about your brand.

So if it’s vague, fluffy, or outdated
don’t expect to be cited.

I created a detailed infographic (see below 👇) 
that breaks this into 9 practical steps.

Here’s the short version:

The 9 pillars of an AEO-optimized About page

1️⃣ Question-based title tag
“Who is [Your Company]?” instantly signals intent to AI systems.

2️⃣ 40–60 word intro
A clear, standalone summary that can be quoted as-is.

3️⃣ Proof of expertise
Years of experience, awards, recognizable clients 
→ machine-readable trust (E-E-A-T).

4️⃣ Clear USP
3–4 concrete differentiators. No buzzwords.

5️⃣ Natural subheadings (H2/H3)
Written as real user questions, not SEO artifacts.

6️⃣ FAQ block
3–5 short answers (<60 words). 
Direct fuel for AI Overviews.

7️⃣ Team & author bios
 AIs connect people, entities, and credibility.

8️⃣ Contact + social links
 Use sameAs to connect your digital footprint.

9️⃣ Structured schema (JSON-LD)
 Person, FAQPage, etc.


Pro tips most miss:
 – Link internally to your strongest content
 – Keep references up to date (stale data kills trust)


If you had to start today:
What’s the first thing you’d fix on your About page? 👇

Most brands are underestimating one major shift:

AI search is multilingual by default.

And the data proves it.

→ 56.96% of French prompts trigger at least one English query
→ 61.6% trigger two English queries
→ 60%+ of AI answers cite multiple domains

AI doesn’t:

→ Rank pages
→ Stay within one language
→ Respect local SERPs

It:

→ Fans out queries across languages
→ Retrieves from multiple markets
→ Synthesizes answers from authority signals

Which means:

Ranking #1 on Google ≠ being visible in AI answers.

If your brand isn’t selected by AI systems, you don’t exist.

The strategic questions now are:

→ Which languages should you activate first?
→ When is local-language content decisive?
→ What increases citation probability across markets?
→ How do you measure AI visibility?

Weglot, Getfluence and Ahrefs are breaking this down 
📅 LIVE in a webinar on 5th March.

Using visibility data from 75,000+ brands and 50,000+ prompts.

If you operate internationally, this is no longer optional.

AI visibility is already multilingual.

Register now.

Link here: https://lnkd.in/eE3fhD2H

Well this certainly was a pleasant surprise and made my day. 🌼 

I was just named by Conductor as 1 of the 15 AI Search and AEO Experts to Follow in 2026.

Seeing this pop up in my inbox this morning definitely put a big smile on my face.

Incredibly humbled to be included alongside so many brilliant minds shaping how search is evolving in the AI era. 🙏 

Especially right now where AI is turning search upside down. 

Now more than ever we have to question old assumptions, experiment, learn fast, and rethink how discovery actually works.


Read the full list here:  https://lnkd.in/df-T_2YG

Aleyda Solís
Andy Lambert
Anna York
Barry Schwartz
Carley Lake
Eli Schwartz
Kate Vasylenko
Kelsey Libert
Lily Ray
Patrick Reinhart
Peter Rota
Rand Fishkin
Rebecca Thorburn
Ryan Law
Steven Schneider
Vincent DeCastro

Colin Gallagher

The AI Marketing Guy — Building a community & bootstrapping an AI writing SaaS to $1 million per year | Join 15,000+ AI marketing newsletter subscribers to future proof your career & build brands with AI.

If you sell b2b these days... landing premium clients consistently is as difficult as finding a needle in a haystack.

You've probably tried:

❌ Daily LinkedIn content — But got lost in the noise
❌ Generic outreach — Getting ignored or attracting tire-kickers
❌ Referral networking — Great when it works, but too unpredictable
❌ Being a "marketing generalist" — Only to compete on price with cheap freelancers

These approaches "work"...

But let's be honest - they're costing you more time and energy than they're worth... especially when you're trying to command $5K-$10K monthly retainers.

That's why we help b2b companies to unlock predictable client acquisition through Linkedin.

Within just 90 days, our team will help you:

✅ Position yourself as the premium choice in your niche (without becoming an "influencer")
✅ Build relationships with 1,000 dream clients (companies you'd be proud to feature on your website)
✅ Generate high-quality leads using a proven system that doesn't require daily posting
✅ Close retainer clients at 2-3x your current rates

Premium clients will be booking into your calendar each month…

All you'll have to do is close deals with prospects who already see your value.

We've helped 100+ businesses to book 2,000+ sales calls and earn millions in revenue through LinkedIn. Here's what our clients say:

"Within 22 days of implementing this system, I went from charging $1,000 to $3,000 per month and signed 4 new retainer clients." — John A., Marketing Consultant

"We added $160,000 in revenue within 6-months" — Ben, CEO @ Seneca Business Solutions

Ready to start attracting premium clients who value your expertise?

P.S. Our approach isn't about posting content every day or becoming another "LinkedIn expert". It's about building a systematic way to attract and close premium clients. Speak soon!

Head Growth Coach

Click the link below for 7 ChatGPT Prompts to help you write 7-days of Linkedin content in 10-minutes a day (...or less).

I stopped using ChatGPT 3 months ago. The Claude system I built instead runs my entire LinkedIn lead generation engine on autopilot.

Comment "SYSTEM" and I'll send you the full breakdown.

Not because ChatGPT is bad at writing. It's great at writing.

But writing was never the bottleneck. 
Research was.

Finding which prospects are actually showing buying signals right now. 

Qualifying them against a specific ICP. Writing a message that references the exact reason they showed up on the list.

That's 3-4 hours of skilled SDR work per day. 
And ChatGPT can't do any of it — because it can't connect to your tools.

Claude can.

Here's what the system actually does:

1️⃣ Signal detection

Claude connects directly to Apollo through an MCP connector — no copy-pasting, no exporting CSVs, no middleware.

It runs a search I built for each client's buying signals:

→ Companies that just posted a VP of Sales role (scaling team, need pipeline) → Founders who recently raised a round (have budget, need growth) 
→ Businesses hiring SDRs (outbound is already a priority)

2️⃣ Qualification

Every prospect gets filtered against the client's ICP — industry, headcount, geography, tech stack.

The filter isn't a prompt. It's a saved Skill — a reusable workflow file that runs the same criteria every time without me re-explaining the rules.

3️⃣ Script generation

For every qualified prospect, Claude writes a message that references the specific signal. Not "I noticed your company is growing." More like "Saw you're hiring 3 SDRs in EMEA — curious how you're handling pipeline for the new reps."

The signal is the reason for reaching out. The message just states it.

4️⃣ Scheduling

The entire pipeline runs on a schedule. 

Every morning at 7am, Claude pulls fresh signals, qualifies them, writes the scripts, and saves everything to a folder I review over coffee.

I spend 15 minutes checking the output. That used to be a full-time person's entire morning.

The gap between ChatGPT and Claude for outreach isn't the writing quality. It's that Claude connects to your data, saves your workflows, and runs them while you sleep.

Comment "SYSTEM" below and I'll send you the step-by-step guide to build this yourself.

Claude turns you into a top 1% lead generation machine.

I built the system that replaced a $6,000/mo SDR - here's the exact workflow ↓

Comment "BUILD" and I'll send you the full breakdown with every prompt and every filter.

The system does 5 things:

-> Pulls buying signals from Apollo (job postings, funding rounds, executive hires) -> Scores and ranks leads by signal strength 
-> Writes personalized DMs based on each prospect's specific signals 
-> Runs on a schedule - every morning, fresh leads, fresh messages 
-> Tracks replies and adjusts targeting based on what's converting

The best part - once it's set up, the system runs silently in the background. You wake up to qualified leads sitting in your inbox. 

Comment "BUILD" for the full guide.

Replace your $6,000/month for $20

ONE specific number explains why your Linkedin outreach isn't working.

It's not your message. 
It's not your offer. 
It's not your follow-up sequence.

3-7%.

That's the percentage of your target market that's in an active buying window at any given time.

You could have the perfect list. 
Perfect ICP. 
Perfect copy.

If you're blasting 100% of the market hoping to catch the 3-7%, you're selling to people who are "qualified" on sales navigator...

But have no interested in buying what' you're selling right now. 

I just recorded a full breakdown of:

→ What the 3-7% rule means for your pipeline
→ Real client results: from 3-4 replies per 100 (mostly negative) to 12 replies per 100 (mostly positive)
→ The two systems you need running simultaneously
→ How to spot buying signals hiding in plain sight on LinkedIn
I also put together the complete buying signal detection framework — every signal type, what it indicates, and how to build a system around it. The full playbook.

Watch the video. 

Then if you want the framework:

→ Comment "Clients" below
→ Follow + connect so I can DM you

How to put LinkedIn lead magnet creation on 100% autopilot (I built this system with Claude + scheduled tasks)

Every morning before I open Slack, a system I built produces a complete content package. Lead magnet. Two LinkedIn posts. Carousel. All from one topic.

Comment AUTOPILOT and I'll send you the full blueprint.

Here's the architecture:

→ A scheduled task fires every morning at 7am
→ Claude pulls trending topics from 8 LinkedIn creators I track
→ It cross-references what I've already posted so nothing repeats
→ It drafts a lead magnet HTML with scroll-reveal animations and interactive elements
→ It generates 2 post options in my voice with different formats
→ It builds an 8-slide carousel PDF
→ Everything lands in a folder, ready for me to review

The whole thing runs on Claude Pro ($20/month) and a scheduling layer. No custom code. No dev team. No content agency.

I still review everything before it ships. The system doesn't replace my judgment - it replaces the 3-4 hours I used to spend staring at a blank doc wondering what to write about.

The biggest unlock wasn't the AI. It was building the system around the AI.

Comment AUTOPILOT below and I'll send you the exact blueprint - prompt chains, file structure, scheduling config, all of it.

I built a Claude AI workflow that sends 800 personalised LinkedIn DMs to my ideal customers while I'm asleep -- want it?

By the time you open LinkedIn at 8am, you've got hundreds of deeply researched prospects with a specific script for each one.

Comment RESEARCH and I'll send you the 4 prompts + setup guide.

Here's what Claude pulls for each prospect overnight:

-> The hiring signal that flagged them in the first place
-> A 2-sentence company context (what they do, what's changing)
-> A specific observation you can open with
-> A signal strength score (1-10) so you know who to message first

The way this works is you configure your search criteria once in Apollo - job posting keywords, headcount range, geography. 

Claude runs overnight, scores each prospect by signal strength, writes a research brief, and drafts a personalised message for each one.

So instead of "I saw you're in the X space" - it's "Noticed the SDR Manager role has been open 6 weeks - how's pipeline holding up during the search?"

What we typically see across 100+ campaigns: founders using this send 40-50% fewer messages but book more meetings. 
Every message timed to an actual signal.

Comment RESEARCH below & I'll send you the system setup guide

Automate Your Lead Generation

The best cold message I ever sent took 30 seconds to write.

People think personalization is the hard part of outreach. It's not. Research is.

When you know that a VP of Marketing just commented about demand-gen challenges, her company posted three new marketing roles this week, and she's been engaging with a competing agency's content — the message practically writes itself.

You don't need to be clever. 

You don't need a hook framework. 

You just reference what's actually happening in their world.

The reason most outreach sounds robotic is because the sender has zero context. 

They're guessing at problems. Manufacturing relevance. Writing around the fact that they don't actually know anything about the person.

When you have deep context — real signals, real company intelligence, real activity data — the message becomes a conversation starter, not a pitch.

We built a system to use AI to write fully personalized four-message sequences for every individual lead. 

Not mail merge with a first name. 

Personalized to their specific signals, company situation, and recent activity.

The prospect should read it and think "they've been researching me." Because the system has. 

It's pulled their last ten posts, their company's last ten posts, hiring data, tech stack changes, press coverage — everything an SDR would look at before sending a manual DM.

Except it happens automatically for every lead in the pipeline.

The irony: the more work you put in before writing, the less work the writing takes. Context is the shortcut everyone skips.

✅

PS - If I could book you 2-3 meetings every week with your ideal customers through LinkedIn, would you be open to a chat?

We'll launch your LinkedIn outreach campaign and contact 600 qualified leads for free, so you can sample real results...

Before deciding whether you'd like to move forward.

Interested? Apply here: https://lnkd.in/gXS4jJ45

My $720/month AI stack generates more leads than a $500,000/year marketing department.

Here's what's in it:

Comment STACK and I'll send you the full breakdown with costs, prompts, and how everything connects.

→ Claude for writing outreach scripts, content, and lead research - $200/mo → Apollo for finding companies showing active buying intent - $60/mo 

→ Airtable for tracking every lead, signal, and conversation in one place - $100/mo 

→ Make(.)com for connecting everything so it runs while I sleep - $60/mo 

→ Data APIs for enriching leads with real-time company and contact intel - $300/mo

5 tools. 
$720/month combined.

The $500K marketing department has 6 people, a Salesforce license, and a 3-month ramp time for every new hire.

My stack was running campaigns within a week.

It doesn't take PTO. 
It doesn't need onboarding. 
And it gets smarter every time I use it.

Comment STACK and I'll send you the full AI stack guide - every tool, what it costs, what it replaced, and the exact workflows connecting them.

PS - For quick access, dm or InMail me with the word "Stack"

My $500,000 AI Marketing Department

I don't know who needs to hear this, if your AI outreach is sloppy, it's not AI, it's you. 

ChatGPT can write your outreach in seconds. So can everyone else's.

"Hey Jessica, I noticed we're both in the SaaS space. We help marketing teams like yours scale demand gen through performance marketing. Love to connect and see if there's a fit."

That message took ChatGPT four seconds to generate. It'll get you a sub-2% reply rate. 

You'd need 200-500 sends just to book a single meeting.

And every one of your competitors can produce the exact same message just as fast.

The problem isn't AI. The problem is what YOU are feeding it.

Generic prompt. Generic ICP data. Generic output. 

The AI has nothing to work with except your product description and a first name.

Ofcourse you're going to get sloppy outreach that uses the words "craft and crickets"

Now give it something real.

Jessica just commented on a competing agency's post saying "this is exactly what we're facing in Q1." 

Her company posted three new marketing roles this week. 

She's been engaging with growth content for the last seven days.

Feed that into the same AI and the output is unrecognisable. 

It references her actual situation. 

It speaks to a problem she publicly confirmed she has. 

It reads like someone spent 15 minutes researching her — because the system did.

Same tool. Radically different input. Completely different result.

AI didn't make outreach worse. 

It made lazy outreach easier to produce at scale. 

The people using AI to write messages without signal data are just automating mediocrity.

The ones feeding it real intelligence are getting 40%+ reply rates.

The gap isn't the technology. It's what you know about the person before you hit send.

✅

PS - If I could book you 2-3 meetings every week with your ideal customers through LinkedIn, would you be open to a chat?

We'll launch your LinkedIn outreach campaign and contact 600 qualified leads for free, so you can sample real results...

Before deciding whether you'd like to move forward.

Interested? Apply here: https://lnkd.in/gXS4jJ45

Claude AI turns you into a 1-person LinkedIn outreach team that books more sales meetings than 20 human SDRs

I built a system that finds high-intent buyers & writes relevant DMs in one conversation.

Comment "SIGNAL" and I'll send you the full setup + 5 message templates.

Here's what it does:

Most AI outreach tools insert [First Name] and [Company] and call it "personalization."

That's not personalization. 
That's a mail merge with a better vocabulary.

My system does 3 things differently:

→ It searches Apollo for prospects showing specific buying signals - job postings open 45+ days, new VP hires, headcount spikes, recent funding - all inside the same Claude conversation

→ It writes DMs under 60 words that reference the signal, not the job title. "45 days into the SDR Manager search - how's the team holding up?" hits different than "I help companies improve their sales process"

→ It builds a follow-up sequence where every message adds a new angle instead of "just bumping this to the top of your inbox"

The difference comes down to one number.

Only 3-7% of any market is in an active buying window at any given time. If you message everyone with the right job title, 93% of them don't have a reason to care today.

Signals find the ones who do.

The playbook covers:

→ The 6 buying signals that actually matter for B2B outreach 
→ The research prompt that turns a profile + signal into a relevant DM 
→ 5 LinkedIn message templates - one for each signal type 
→ How to wire Apollo + Airtable + Claude into one workflow using MCP connectors 
→ The follow-up sequence that converts connections into calls

Comment "SIGNAL" and I'll DM you the link.

Your prospects don't want to hear about your process — they want to hear about their outcome.

Every cold message I see starts the same way:

"We help companies with our proven 3-step framework..."
"Our unique methodology delivers..."
"We use advanced techniques to..."

Completely backward.

Your prospect doesn't care about your process. They care about their problem.

Instead of explaining HOW you do it, lead with WHAT happens when you do.

"Your sales team books 12 qualified meetings per month."
"Your pipeline stays full without you personally prospecting."
"You close deals while your competitors wait for inbound leads."

The process comes later. The outcome comes first.

We've booked 2,000+ sales meetings by talking about client results, not our methodology.

Start with their finish line, not your starting blocks.

We discard 99% of the LinkedIn signals we collect. That's the point.

Let me explain.. 

Finding signals is the easy part. 

Knowing which ones matter is where most people get stuck.

Our system pulls thousands of signals every month — post engagement, job changes, hiring activity, competitor interactions. 

The vast majority of them aren't qualified for our clients' campaigns.

Someone liked a competitor's post. Great. 
Are they the right title? Right company size? Right industry? Do they have budget authority? Is their company actually in a position to buy?

Most of the time, the answer is no.

That's why we built an AI qualification layer between signal detection and outreach. 

Every lead that triggers a signal gets automatically enriched — their LinkedIn history, past roles, posting behaviour, company intelligence, hiring trends, tech stack, recent press coverage.

Then AI evaluates all of it against the client's qualification criteria and scores each lead as highly qualified, disqualified, or edge case — with a confidence rating.

This is the step that separates signal-based outreach from just reacting to LinkedIn notifications. 

Without it, you're messaging everyone who liked a post. 

With it, you're messaging the handful who liked a post AND match your ICP AND are at a company showing multiple buying indicators.

We pay roughly $1,500 a month in LinkedIn and enrichment 

APIs alone because we're processing massive volumes of data. 99% gets filtered out. 

The 1% that makes it through into campaigns is why the reply rates are what they are.

The signals get you attention. The qualification gets you meetings.

✅

PS - If I could book you 2-3 meetings every week with your ideal customers through LinkedIn, would you be open to a chat?

We'll launch your LinkedIn outreach campaign and contact 600 qualified leads for free, so you can sample real results...

Before deciding whether you'd like to move forward.

Interested? Apply here: https://lnkd.in/gXS4jJ45

How to build a sales pipeline for your cybersecurity firm on LinkedIn with AI in 2026 (the system behind 112 winning B2B campaigns)

Comment PIPELINE and I'll send you the full playbook.

Cybersecurity founders have a targeting problem. Your buyers - CISOs, VPs of IT, security directors - get 30+ vendor pitches a week. Most of those pitches land on people who signed a contract 3 months ago.

The fix is signals. 

AI lets you find the 3-7% of your market that's actively looking right now - and reach them before your competitors do.

Here's the pipeline architecture we run for B2B service companies:

→ Signal detection layer - AI scans for buying triggers specific to cybersecurity: compliance deadlines, new security hires, breach disclosures, tool migration announcements, budget cycle timing  
→ Qualification layer - each prospect gets scored against fit criteria before a single message goes out  
→ Personalized outreach - every DM references the specific signal, not the job title  
→ Follow-up engine - the system re-engages warm prospects automatically when new signals appear

The whole thing runs in the background. 

You wake up to qualified conversations, not a list of names to cold-message.

Comment PIPELINE and I'll send you the full playbook - including the exact signals that work for cybersecurity buyers and the AI prompts behind each layer.

Build Cybersecurity Sales Pipeline

I've spent 3 years building LinkedIn pipelines for 100+ B2B companies. Here's what actually moves the needle.

It's not the copy. It's not the volume. It's not the tool stack.

After 100+ builds, the same 4 things separate companies booking calls from LinkedIn every week from those getting ignored:

→ They message people who are already buying - not just people who match a job title
→ Their first DM references something specific the prospect just did
→ They follow up based on signal changes, not arbitrary timers
→ They lead with the prospect's situation, not their own service description

Most B2B companies get 1 of these right. 

Maybe 2. 

The ones filling pipeline consistently nail all 4.

I built a free scorecard that lets you rate your LinkedIn pipeline across these 4 dimensions in under 5 minutes.

Comment PIPELINE and I'll send it over.

It'll show you exactly where your outreach is strong and where the gaps are costing you conversations.

Comment PIPELINE below.

Signal-based outreach costs $4-5K/month to run properly. Here's where the money goes.

I'm going to be transparent about something most agencies won't tell you.

If you wanted to build the signal-based outreach system we run for clients — yourself, from scratch — it would cost roughly $4,000 to $5,000 per month in tools alone. 

Before your time.  Before the developer who sets it up and maintains it.

Here's the breakdown:

- LinkedIn Sales Navigator and enrichment APIs: around $1,500/month. 

We're scraping large amounts of data because 99% of signals don't qualify. But you have to check them all.

- AI API subscriptions: anywhere from $200 to $1,000/month depending on volume. 

We spent $1,000 with Anthropic last month alone because of the amount of qualification and research the system processes.

- AI agent building tools: roughly $500/month. 

Plus developer maintenance ($500-$1000), because these systems break. Regularly.

- Outreach automation tools: variable, but factor in another few hundred at least- we spend arounf $500-$1000 in any given month.

And that's assuming everything works. 

It doesn't account for the weeks of setup, the debugging, the N8N workflows that need rebuilding, or the developer who doesn't always answer when you message them.

I'm not saying this to scare anyone off building it themselves. 

Some companies should. 

If you have the technical team and the patience, the ROI is there.

But most founders I talk to don't have 3-6 months to build infrastructure. 

They need pipeline now. That's the real trade-off — not money, but time to value.

Whether you build it or buy it, now you know what the actual investment looks like.

✅

PS - If I could book you 2-3 meetings every week with your ideal customers through LinkedIn, would you be open to a chat?

We'll launch your LinkedIn outreach campaign and contact 600 qualified leads for free, so you can sample real results...

Before deciding whether you'd like to move forward.

Interested? Apply here: https://lnkd.in/gXS4jJ45

ONE Claude skill has been writing my LinkedIn content for 2 weeks straight.

Every post. Every lead magnet. Every carousel. Fully generated and deployed - on a schedule.

Here are the results so far:

-> One post: 20,000+ impressions. 435 comments.
-> A lead magnet post: 12,000+ impressions. 202 comments.
-> Another: 8,300+ impressions in 19 hours. 179 comments.

Comment "ENGINE" and I'll send you the full skill for free.

So here's how it works.

The skill fires every morning as a scheduled task. By the time I open my laptop, there's a complete content package waiting:

1 - Hook Research

Pulls the last 14 days of posts from 8 influencers in my niche. Finds hooks that outperformed by 2x+. Scores each one for adaptability - and picks the winner.

2 - Post Draft

Takes the winning hook, rewrites it in my voice (it learned my cadence from 9 recorded Zoom calls), drafts the post, and runs 8 automated checks before I see it.

3 - Lead Magnet Build

Writes a full HTML page with copy-paste prompts, interactive tools, and scroll animations. Deploys it to a live URL. Hands me the link.

4 - Carousel + Image

Generates an 8-slide PDF carousel and a photorealistic AI image prompt. Both themed to the post.

The thing is - I didn't build this in a weekend. This is 2 months of daily iteration. Every mistake became a permanent rule. Every edit I made became an automated check.

And I'm giving the whole thing away.

Comment "ENGINE" and I'll send you the skill file, the setup guide, and the scheduled task config. 

Drop it into Claude Code or Cowork, add your voice, and it runs.

I just replaced my morning CRM review with a 100% automated Claude system that runs while I sleep...

Every morning I used to spend 30-45 minutes doing the same thing:

→ Opening my CRM 
→ Scanning for overdue follow-ups 
→ Checking who had calls booked
→ Cross-referencing emails to see who went dark

Now I wake up to a complete pipeline briefing sitting in my Slack.

Here's what the system does before I'm awake:

→ Pulls every active lead and their current status
→ Flags anyone overdue for follow-up and tells me why
→ Cross-references recent calls and emails so nothing slips
→ Prioritizes who needs attention TODAY based on deal stage and signal strength
→ Drafts follow-up messages I can review and send in minutes

I expect this ONE system to add $100,000 to our revenue next year.

The whole thing runs on Claude with a scheduled task.

Comment BRIEFING and I'll send you the full breakdown of how this system works.

The worst outreach I've ever seen was written by the best AI tools.

Flawless grammar. Professional tone. Clean formatting. Absolutely zero reason to reply.

That's what happens when you hand GPT-4 your website copy and say "write me a LinkedIn outreach sequence."

It'll give you something polished. Something that sounds like a sales email from 2019 wearing a better suit. 

And your prospect will archive it alongside the nine other messages they got today that read exactly the same way.

The AI did its job perfectly. It took what you gave it and made it sound good.

The problem is that sounding good and being relevant are completely different things.

I've reviewed hundreds of AI-generated outreach sequences at this point. 

The pattern is always the same. The sender knows nothing about the recipient except their name and job title. 

So the AI fills the gap with vague flattery and generic value props.

"I admire what you're building at [Company]."
"Teams like yours often struggle with [broad problem]."
"Would love to explore synergies."

It's technically competent. It's emotionally empty. The prospect feels nothing because the message says nothing specific to them.

Now compare that to a message where the AI knows the prospect commented about demand-gen challenges last week, their company just posted three marketing roles, and they've been engaging with a competitor's content.

Same AI. Same capability. 

But now it has something real to work with — and the output reads like a human who's done their homework.

Your prospects can't tell the difference between AI and human anymore. But they can absolutely tell the difference between someone who knows their situation and someone who doesn't.

The tool isn't the bottleneck. The intelligence you feed it is.

✅

PS - If I could book you 2-3 meetings every week with your ideal customers through LinkedIn, would you be open to a chat?

We'll launch your LinkedIn outreach campaign and contact 600 qualified leads for free, so you can sample real results...

Before deciding whether you'd like to move forward.

Interested? Apply here: https://lnkd.in/gXS4jJ45

Content creators making $10K/month have fewer LinkedIn followers than B2B founders making $100K/month.

Why?

Content creators need followers to sell courses and coaching.

B2B founders need customers to sell services.

Completely different games.

The B2B founder with 2,000 followers books 15 sales calls per month through targeted outreach.

The content creator with 50,000 followers converts 0.1% into paying customers.

Guess which business model scales faster?

I've watched clients go from 0 to $300K in revenue with under 5,000 connections.

Meanwhile, LinkedIn "gurus" with massive followings struggle to fill $500 courses.

Content supports your outreach. It doesn't replace it.

When prospects research you after receiving your message, they need to see you know what you're talking about.

That's it.

I watched 47 B2B founders waste $200K+ on LinkedIn content while their sales teams missed quota.

They hired content creators, posted daily, got likes and comments.

Zero pipeline.

Here's what they believed: "If I build an audience, qualified leads will find me."

Here's reality: B2B buyers don't browse LinkedIn looking for vendors. They're heads down solving problems.

Your VP of Sales doesn't care if your post got 500 likes. She cares about hitting quota.

80% of our clients' meetings come from outreach, not content.

Content supports outreach by building trust when prospects check your profile after you reach out.

But content alone? It's expensive brand awareness disguised as lead generation.

One client spent 8 months building a following. Got featured in LinkedIn newsletters. Felt like a thought leader.

Generated 2 qualified meetings.

We switched him to outreach-first. 4 qualified meetings in the first 3 weeks.

Hot take: The people telling you to "learn AI or get left behind" are the same people selling you AI courses.

I've spent the last 2 years building AI sales systems for B2B service businesses.

Not one of my clients learned to code.
Not one learned prompt engineering.
Not one spent 6 months "figuring out the tools."

They focused on what they were already world-class at — understanding their buyer, reading signals, and closing deals — and let infrastructure handle the rest.

Watch this full video breaking this down:

→ The biggest lie in AI right now (and why it's costing you)
→ Who benefits from you believing it
→ What actually drives results (hint: it's not ChatGPT)
→ A framework for thinking about AI that puts your experience first

I also wrote up the complete system we install for clients — signal detection, outreach architecture, pipeline infrastructure. 

The whole blueprint.

Want the full system doc?

→ Comment "SYSTEM"
→ Connect with me & I'll DM it to you

P.S. Want me to setup a free pilot to help you grow your business on Linkedin? Book a call here: https://growlancer.ai/

taplio

The Battle

Anna York

Colin Gallagher

Followers

Posts

Engagements

Likes

Performance ScoreAnna York's LinkedIn Performance

Performance ScoreColin Gallagher's LinkedIn Performance

Ready to grow your LinkedIn presence?

taplio

The Battle

Anna York

Colin Gallagher

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Anna York's LinkedIn Performance

Performance ScoreColin Gallagher's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreAnna York's LinkedIn Performance