Simplified Customer Service + Delivering Warm Leads With Smart AI Phone Agents - Save On Costs & Drive Revenue Higher | Founder GoVoice AI | $97M Attributed Rev | AI Expert Consultant | 24 Year Marketing Expert | → DM Me

Transforming business communications with GoVoice, AI-assisted phone conversations. 

The GoVoice Platform is engineered to seamlessly integrate into your business, facilitating natural and efficient customer interactions.

AI-powered phone conversations are aimed at driving higher revenue and improving customer satisfaction.

This offers innovative solutions to unlock new possibilities for cost-saving and revenue generation.

Customizing interactions with AI technology designed to adapt and provide personalized customer experiences.

Stay ahead and equip your business for the rapidly evolving market demands with AI powered phone assistants on duty 24/7. Never sick. Never late. Never has a bad day.

Feel free to DM or email me at james@govoice.ai

James Lindsay 🚀

Marketing & AI | Brand & Business Unit Director @ P&G | Leading Teams | Growing Multi-Million $ Brands

Marketing Director - Clinique | ELC AI Leader | Helping You Accelerate Your Career with AI | ex-P&G

Brand Builder, Commercial & Online Leader with 16+ years of experience. 

AI / digital marketing expert and enthusiast.

I share content to help you on your Marketing & AI journey. 


My views / endorsements are my own and do not reflect those of my employer.

Jonathan Parsons

You’re trying to grow on LinkedIn the hard way.

You post daily.
You guess what works.
You pray the algorithm notices.

But here’s the truth:
ChatGPT can become your LinkedIn growth engine.
Only if you know how to prompt it properly.

I noticed something interesting about my 2 creator friends.

They were in the same niche.
Had a similar experience.
Had a similar posting frequency too.

But their results were completely different.

One struggled to get 20 likes.
The other consistently crossed 1,000+ engagements.

The difference?
The other one was analysing, optimising, and engineering his content with AI.

Based on my experience of learning from them and creating content on LinkedIn for 3+ years,

I’ve created these 10 powerful ChatGPT prompt to help you grow on LinkedIn faster 

From analysing competitors to improving writing clarity, these prompts turn ChatGPT into a personal LinkedIn growth strategist.

Here are some powerful ways creators are using AI for LinkedIn growth:
→ Analyze past posts to identify what drives engagement
→ Reverse engineer top creators in your niche
→ Refine writing style for stronger hooks
→ Optimize carousel structures for swipe retention
→ Improve infographic clarity for mobile readers
→ Build repeatable feedback loops for content improvement
→ Analyze video posts for audience retention
→ Strengthen writing signals for better readability
→ Optimize LinkedIn profiles for conversion
→ Clarify your content positioning and niche authority


When used correctly, ChatGPT becomes your:
✅ Content strategist
✅ Writing editor
✅ Growth analyst
✅ Creative assistant
✅ Feedback engine

So if you want to grow on LinkedIn using ChatGPT, 
Keep these in mind.

Do’s when using ChatGPT for LinkedIn growth:
✅ Give clear context about your niche and audience
✅ Analyze your own past posts before creating new ones
✅ Use AI for idea expansion, not blind copying
✅ Test multiple hooks and structures
✅Refine drafts instead of generating random posts

Don’ts when using ChatGPT:
❌ Don’t publish raw AI outputs without editing
❌ Don’t copy other creators word for word
❌ Don’t ignore your personal experiences and stories
❌ Don’t rely only on generic prompts
❌ Don’t forget to optimize hooks and formatting

LinkedIn rewards clarity, credibility, and consistency.
AI simply helps you reach that faster.

To get all the prompts,
Check the infographic below 👇 

And I’m curious.
What do you think about using ChatGPT to grow on LinkedIn?
Drop your thoughts in the comments 👇 

If this helped you:
➕ Follow me for more insights on AI, content, and growth

🔁 Repost to help your network grow fast on LinkedIn

Marketing Director - Clinique | AI Leader | Helping You Accelerate Your Career with AI | ex-P&G

98% people are talking about AI tools.

The top 2% are building an AI team.

That difference is where the real leverage lives.

Recently, I watched a founder try to run everything alone.
- Writing.
- Design.
- Research.
- Sales.
- Marketing.
- Content.Automation.

He worked 16 hours a day and still felt behind.

Then he changed one thing.

And started thinking of AI tools as employees.

Today his “AI team” handles most of the manual work while he focuses on strategy.

The truth is simple:
You need the right AI stack.

Your AI team could look like this:

● Strategy
→ ChatGPT as Chief Strategy Officer
→ Perplexity as Research Assistant

● Content creation
→ Claude as Writer
→ Jasper as Marketer
→ Tweet Hunter for X ghostwriting
→ Taplio for LinkedIn content

● Design and media
→ Canva as Designer
→ Freepik for images and videos
→ VEED for video editing

● Growth and distribution
→ Sandcastles AI for Instagram growth
→ VidIQ for YouTube growth

● Website and product
→ Webflow as Website Developer
→ Replit as Developer

● Marketing and revenue
→ HubSpot as Sales and Marketing Manager
→ Beehiiv as Newsletter Manager

● Operations and automation
→ Zapier as Automation Engineer
→ Rows as Data Analyst

● Support and assistants
→ Expertise AI for customer support
→ OpenClaw as AI assistant

When these tools work together, 
Something interesting happens.
Your output multiplies.

Instead of working like a solo operator, 
You suddenly operate like a small AI-powered company.

But building an AI team the right way matters.
Here are the rules I follow.

Do’s when building an AI team:
✅ define clear roles for each AI tool
✅ connect tools through automation workflows
✅ verify outputs before publishing or executing
✅ design repeatable systems and pipelines
✅ keep humans responsible for strategy and judgement

Don’ts when building an AI team:
❌ Don’t rely on one tool for everything
❌ Don’t automate without checking accuracy
❌ Don’t overload workflows with unnecessary tools
❌ Don’t skip human review in critical decisions
❌ Don’t forget data privacy and security practices

AI is changing what teams look like.

The smartest builders today are quietly assembling their AI workforce.

And the productivity gap is growing fast.

To see how an entire AI team can be structured,
Check the infographic below 👇 

Curious to hear your thoughts.
What do you think about building your own AI team?
Comment below 👇 

If this helped you rethink AI workflows:
➕ Follow me for more insights on AI, marketing and digital leverage

♻️ Repost to help your network use AI in a better way

If you're not using AI for SEO,

You're falling behind.

A few months ago, 
I reviewed dozens of blog posts that were "AI-optimised".

Google did not penalise them.
Readers did.

That is when it clicked.

AI is not here to replace SEO thinking.
AI is here to amplify good SEO operators and expose lazy ones.

Use it right.
And AI becomes a force multiplier.

Use it blindly.
And it becomes a content factory with zero soul.

Here is how smart teams are using AI for SEO 👇
• Content personalisation → leads to relevance at scale
• Keyword research → helps with faster signal discovery
• Blog creation → Structure matters more than speed
• Meta descriptions → Clarity and CTR both matter
• Trend analysis → Timing the new wave 
• FAQs → Match intent
• Rewrites → Refine with more human tone

What separates winners from noise 👇
→ Role prompting matters
→ Better context beats creativity
→ Powerful strategy beats more volume

Use AI like an SEO partner.
Not a content vending machine.

Do’s:
✔ Prompt to act like an SEO expert before prompting
✔ Feed real context and constraints
✔ Use AI for ideation and structure
✔ Edit outputs with human judgment
✔ Optimize for human users

Don’ts:
✖ Don’t blindly publish raw AI content
✖ Don’t chase keywords without intent
✖ Don’t ignore Google quality guidelines
✖ Don’t overoptimise titles and headings
✖ Don’t forget originality and expertise

AI does not rank content.
People do.
And Google follows people.

If you want to win with AI + SEO, 
Stop asking: “Can AI write this for me?”

Start asking: “How can AI make this better than anything already ranking?”

To get practical prompts and tools,
Check the infographic below 👇

What do you think about using AI for SEO assistance?
Comment below 👇

➕ Follow for more no-fluff AI insights

♻️ Repost if this changed how you see AI + SEO

Most people are still stuck on using ChatGPT to write faster.

The smartest people use it to think better.

And that single shift changes the quality of every decision they make.

A few months ago, I noticed something uncomfortable.

Two of my friends had access to ChatGPT.
They both used different prompts.

One kept making average decisions.
The other made impactful decisions.

The difference was not in their intelligence.
It was how they used ChatGPT.

Most people ask AI for answers.
High performers use AI to stress test their thinking.

That is the real power.

Here is what elite decision-makers quietly do differently with AI 👇
• They slow down before deciding
• They expose hidden assumptions
• They simulate failure before it happens
• They zoom out before locking in
• They treat AI like a thinking partner, not an oracle

Use ChatGPT to:
→ Identify the real problem, not the visible one
→ Challenge assumptions you did not know you had
→ Simplify complex decisions into one clear sentence
→ Run pre-mortems before reality does it for you
→ Compare options beyond gut feeling
→ Map risks before they surprise you
→ Spot second-order effects early
→ Define success before execution
→ Sequence steps instead of improvising

You’ll get:
✅ Better clarity
✅ Fewer emotional decisions
✅ Less regret
✅ Faster learning
✅ Stronger long-term outcomes

Do’s:
✅ Do define the decision clearly
✅ Do ask AI to argue against you
✅ Do request best-case and worst-case outcomes
✅ Do use pre mortem analysis
✅ Do combine AI insight with human judgement

Don’ts: 
❎ Do not outsource responsibility
❎ Do not accept the first answer
❎ Do not ignore context and constraints
❎ Do not skip risk analysis
❎ Do not treat AI as a replacement for thinking

To get powerful ChatGPT prompts for better decision-making,
Check the infographic below 👇 

What do you think about using AI to accelerate decision-making?
Comment below 👇 

 ➕ Follow for more practical AI insights

 ♻️ Repost if this changed how you see ChatGPT

Google is no longer your best online organic growth source.

AI platforms are quietly replacing it.

Here’s the AI platform search optimisation shift marketers (and you too) can’t ignore.

What used to be:
→ Search
→ Scroll
→ Click
→ Browse
→ Buy

Is now:
→ Ask AI
→ Get answer
→ Visit the site
→ Buy

Organic traffic is not slowly declining.

In many categories, 
It is being cut out of the loop entirely.

AI search platforms can provide content similar to these:
• Media sites.
• How-to blogs.
• Product reviews.
• Educational content.

AI is answering the question before your regular blog post ever loads.

Google knows this.
That’s why you’re seeing defensive moves everywhere.

ChatGPT knows this too.
That’s why product discovery, recommendations, ads, and even purchasing are happening inside the chat.

SEO is no longer just about ranking pages on Google and traditional search platforms.

It is about being citable, trusted, and selected by AI search platforms along with traditional search platforms like Google.

If you care about:
• Future growth
• Brand visibility
• More discoverability
Check the infographic attached to learn about this shift 

I’ve broken down exactly what is changing and how AI SEO actually works now.

I’m curious. 
Do you think AI platforms will fully replace traditional search, or will Google adapt fast enough?
Comment below 👇

If this made you rethink SEO,
Follow for more AI and marketing breakdowns

♻️ Repost so your network sees where search is heading

The search game has been revolutionised.
The question is who adapts first to this new game.

Marketing Director - Clinique | UK ELC AI Leader | Helping You Accelerate Your Career with AI | ex-P&G

Most small businesses don’t fail because of bad ideas.

They fail because owners are doing everything themselves.

- Admin.
- Finance.
- Support.
- Marketing.
- Sales.

At some point, hard work stops scaling.

That’s where AI quietly changes the game.

I saw a small founder last year juggling invoices at midnight, 
Replying to customer emails at 6 AM, 
And designing posts on weekends.

Today?
AI helps with 75% of that work.

Here’s what stood out to me 👇

● Operations stop being chaos
→ Use Chatgpt for clarity
→ Use Notion to build systems
→ Use Motion for focus 

● Finance stops being scary
→ Try Quickbooks for bookkeeping
→ Use Numeral AI for forecasting
→ Test Tally for faster invoicing

● Customer support runs 24/7 with:
→ Zendesk AI
→ Tidio AI
→ Crisp AI

● Marketing becomes consistent with:
→ Canva magic studio for design
→ Jasper for copy
→ OpusClip for repurposing

● Sales no longer slip through cracks:
→ Hubspot AI for pipeline management
→ Apollo AI for lead management
→ Claude for proposal refinement

● Productivity actually improves
→ Use Perplexity for research
→ Try Zapier AI for automation
→ Test Loom AI for async clarity 

Dots connect fast when tools work together.

To know all the tools in detail,
Check the infographic below 👇 

👉 Follow for more practical AI for business

♻️ Repost if this helped you rethink your workflow

What do you think about small businesses using AI?
Comment below 👇

98% are using Google Gemini Pro wrong.

Not because the model is weak, but because their prompt is.

Gemini 3.1 Pro rewards depth in prompts

A few months ago, 
I thought “AI reasoning” was just a buzzword.

Then I tested Google Gemini 3.1 Pro on problems that usually break models.
Abstract reasoning.
Logic chains.
Multimodal tasks.
System-level thinking.

That’s when it clicked.

The model is built for people who actually think.

Gemini 3.1 Pro is what happens when AI stops guessing and starts reasoning.

Here’s what makes it different 👇
• 77.1% on ARC AGI 2
• Massive leap in core reasoning
• Handles abstract logic far better
• Strong multimodal understanding
• Built for complex systems

Where it shines most:
→ Deep problem solving
→ Logical reasoning puzzles
→ Multistep decision-making
→ Developer and API workflows
→ Visual, text, and video inputs

Where people mess it up:
• Treating it like a quick answer bot
• Giving vague prompts
• Expecting magic without context
• Skipping structure
• Ignoring its strengths

Do’s:
✔ Use clear, specific prompts
✔ Provide rich context
✔ Ask for step by step reasoning
✔ Use multimodal inputs when relevant
✔ Deploy it on Vertex AI or AI Studio for serious workflows

Don’ts:
✖ Don’t expect perfect answers without details
✖ Don’t use it for trivial queries
✖ Don’t overload one prompt with unrelated tasks
✖ Don’t ignore safety constraints
✖ Don’t treat outputs as unquestionable truth

This AI model is a thinking engine.

If you want the full breakdown, 
Check the infographic below 👇

And tell me, 
What do you think about using Google Gemini 3.1 Pro for problem-solving?
Comment below 👇 

 ➕ Follow for more AI model explainers 

♻️ Repost to help your network work with Google’s best AI model

High performer… but you’re still not getting promoted?

Every time a mentee or someone on my team asks how to progress their career, I give them the framework I have stood by for years:

PIE.

Performance.
Image.
Exposure.

Performance is doing great work.
Image is how people perceive your leadership.
Exposure is ensuring key stakeholders see both.

Most people think if they perform long enough, the promotion will come.

Unfortunately, it won’t. It’s a combination of all 3 working in tandem that makes you stand out from your peers.

I had to learn this in my career and hopefully it helps you too.

So how do you apply this model you ask?

When is that model tested the most?

When are career-defining, make-or-break moments decided?

Well the answer is almost always… in a presentation.

The strategy update.
The board review.
The quarterly results.
The big pitch.

That’s when your performance becomes visible.
That’s when your image is formed at scale.
That’s when exposure compounds - or stalls.

And yet, this is where most high performers lose leverage...

Let’s say you’ve spent weeks building the strategy.
You’ve pressure-tested the thinking in Claude.
The logic is tight. The insights are strong.

But now it’s 10pm the night before.

You’re rebuilding slides.
Fixing formatting.
Adjusting fonts.
Moving boxes around.

Instead of preparing for the room.
Instead of sharpening the narrative.
Instead of rehearsing for the questions that will actually determine the outcome.

That’s the trade-off you’re accepting:

Great AI for thinking.
Manual work for presenting.

What’s interesting is that gap doesn’t need to exist anymore.

Gamma now works directly inside Claude.

So the strategy you build in Claude can turn into a structured, beautifully designed presentation instantly - in the same flow of thinking.

No exporting.
No rebuilding.
No breaking context.
Your thinking evolves.

Your deck evolves with it.

Which means the night before the big presentation…

You’re not adjusting fonts.
You’re preparing to win the room.
Performance gets you in the room.
Exposure gets you promoted.

Make sure your next presentation is driving your career forward - not slowing it down.

#GammaPartner

taplio

The Battle

James Lindsay 🚀

Jonathan Parsons

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