Transforming Businesses with Proven Digital Growth Strategies | CEO & Founder at PageTraffic | Trusted White Label Partner for Digital Agencies | SEO Expertise for Optimal Results

🎯 Building and Scaling SEO Systems Since 2002

I’m Navneet Kaushal, Founder of PageTraffic, one of Asia’s most established search marketing agencies focused on execution-first SEO. Founded in 2002, PageTraffic is one of India’s longest-standing SEO agencies, recognized with multiple national and industry awards for SEO excellence.

For over two decades, we’ve helped businesses grow through Local and Ecom SEO — and today, through AI-powered SEO systems across Google, Maps, and LLMs.
The common thread across every phase has been one thing: execution at scale.

⸻

🏆 Authority & Industry Recognition

Our work and insights have been featured in Forbes, Inc.com, and Entrepreneur Magazine.

I’ve spoken at 100+ SEO and digital marketing conferences globally, including:
	•	Chiang Mai SEO Conference (first Indian speaker)
	•	SEO Estonia
	•	Multiple international SEO and marketing conferences across Europe and Asia

I also host The Agency Insider Show, where I’ve interviewed 80+ global SEO and growth leaders, building a community of 23,000+ YouTube subscribers focused on SEO, AI, and agency growth.

⸻

⚙️ What We’re Known For

Most SEO fails not because of strategy, but because execution breaks at scale.

That’s where PageTraffic is different.

We specialize in:
	•	White-label SEO execution for agencies (National, Ecom & Local)
	•	Google Maps & Local SEO systems built for calls, leads & revenue
	•	AI-powered SEO automation using GPTs and n8n, saving 15–20 hours per campaign
	•	Helping agencies scale from 5 to 50+ clients without increasing headcount

⸻

🤝 Who This Is For

You’ll benefit most if you’re:
	•	A founder serious about SEO that drives real business outcomes
	•	An agency looking for a reliable white-label SEO partner
	•	A team exploring AI automation to scale SEO without chaos

📩 Send me a DM and let’s see if there’s a fit.

Navneet Kaushal

I built an SEO/LLM Skills Pack for Claude Sonnet & Opus 4.6.

Here is what is inside:

→ SEO Site Auditor
→ AEO Content Optimizer
→ Schema Markup Generator
→ E-E-A-T Content Scorer
→ Keyword Intent Classifier
→ Competitor Gap Finder
→ GBP Post Generator
→ Internal Linking Strategist
→ SEO Content Brief Writer
→ AI Search Visibility Checker

And more!

Now, I built this because I was tired of running the same SEO workflows manually.

For context — I spend hours every week optimizing sites for both Google AND AI search engines.

ChatGPT. Perplexity. Claude. Google AI Overviews.

Every project follows the exact same steps:

- Audit the site
- Research keywords and intent
- Analyze the competitors
- Write optimized content
- Generate schema markup
- Check AI search visibility

It is the same workflow every time.

And that is exactly what Claude Skills are perfect for.

You upload them to your workspace and run them with one click.

No more copy-pasting the same prompts.
No more starting from scratch on every project.

Just like this post and comment "SKILLS" and I will send you the full pack for free.

PS — If you are new to Claude Skills, no worries.

I included a quick-start installation guide so you can be up and running in under 5 minutes.

White Label SEO Partner | Local SEO & AI SEO for Agencies | 10,000+ Clients, 36 Countries | Founder, PageTraffic | Host, Agency Insider Show

Most people pay $10,000 for SEO. I pay $5 for a OpenClaw server and Claude.

Traditional SEO is burning your money.

You pay an agency to guess what Google wants.
They charge you thousands for basic audits.

I stopped paying retainers.
I achieved a 99.7% cost reduction.

I deployed an open-source framework called OpenClaw.
It runs 6 AI agents on a $5 VPS.

They do the work of a full SEO team for $25 a month.

Every single day these bots execute:
• Website health monitoring.
• Reddit brand mention hunting.
• AI citation tracking across Gemini and ChatGPT.
• X engagement and social listening.
• Content gap analysis.
• Review monitoring.

I built a cheat sheet to set this up.

It breaks down the VPS setup.
It gives you all the SOUL.md and HEARTBEAT.md files.

Want the AI SEO OpenClaw Agent Blueprint?

Like this post.
Comment "OPENCLAW" below.
I'll DM it to you for free.

I canceled $1,200 a month in redundant SEO tool subscriptions. 

I automate keyword sprints with 10 Claude Skills to put client execution on autopilot.

Get the exact setup ↓

Most SEO agencies are drowning in pivot tables and manual data exports.

They spend hours doing mindless manual tasks just to service a few accounts.

It is bad execution.

The 'Old Way' is slow manual labor and bloated software costs.

The 'New Way' is native automation and live search data.

I implemented this across 50 active client accounts.

The results changed our operational speed.

Keyword clustering went from 4 hours to 3 minutes.

Competitor analysis dropped from 2 hours to 5 minutes.

We replaced $1,200 a month in traditional tool subscriptions.

Here are the files I use:

→ Technical SEO Auditor (finds core site errors)

→ Keyword Clustering Engine (groups topics by intent)

→ SERP Gap Detector (maps out ranking opportunities)

→ AEO/GEO Content Optimizer (structures for AI search)

→ Schema Markup Generator (builds valid JSON-LD code)

→ Competitor Intelligence Analyst (tears down rival strategies)

→ SEO Content Brief Writer (creates optimized content outlines)

→ Client Report Generator (automates complex monthly reporting)

→ Content Refresh Engine (updates old decaying pages)

→ Backlink Prospector (finds warm outreach targets)

PLUS → Google Search Console MCP Setup (wire Claude into live data — no CSV exports)

You upload these native files to your workspace once.

They run your SEO workflows forever.

Comment 'MCP' below.

I will send you the full pack for free.

♻️ Repost to help your network stop paying for SEO tools Claude can replace.

Profile views mean nothing if they don't turn into booked calls.

I use Claude and 57 Figma tools to build a visual lead pipeline.

Here is the system ↓

Most people have no idea Claude can pilot Figma.

So they burn their weekends making basic graphics that generate zero leads.

I spent 40 hours building a visual lead generation machine.

It automates carousels, banners, and lead magnets. 0 design background required.

I put everything into a master cheat sheet:

→ 57 Figma tools explained in plain English
→ 10 automated workflows that actually pull leads
→ 7 copy-paste Claude prompts
→ The exact 20-minute weekly sprint

I did the work. You get the system.

Comment "VISUAL" and I will send it directly to you.

♻️ Repost to save your network 40 hours of testing.

Claude beats ChatGPT for getting leads on LinkedIn. I just released The LinkedIn Skill Vault – get access ↓

I've spent 15+ years in SEO. But the fastest-growing channel in my business right now isn't Google.

It's LinkedIn. And Claude is the engine behind it.

One skills document replaced my entire content + outreach workflow.

The problem? 90% of people still prompt Claude like a chatbot.

So I put together The LinkedIn Skill Vault:
→ 7,700 words. 30-minute read. 10 copy-and-paste skills.
→ Profile optimizer & viral hook writer
→ Post generator, carousel builder & visual content designer
→ DM conversations, comment strategy & CTA writer

If you can rank on Google, you can dominate LinkedIn — you just need the right system.

Comment "Vault" and I'll DM it to you.

♻️ Repost this for priority access – inbox is a bit full right now

We built the OpenClaw for sales. 
 
So your pipeline grows while you sleep 👇 
 
Drop in your post URL. 
Your first autonomous AI sales agent is running in 5 minutes. 
(No GoHighLevel. No Zapier. No VA. No $1,500/mo SaaS stack.) 
 
How it actually works: 
1/ LeadPanther captures every comment and DM instantly 
2/ The agent researches the prospect across their internet presence - LinkedIn, company news, funding rounds 
3/ Classifies intent with a 7-point priority matrix automatically 
4/ Drafts a hyper-personalized reply using your tone — not a template 
5/ Sends it. Follows up. Logs everything in a file-based CRM. 
 
What it's doing right now: 
➤ Captures high-intent leads from your posts in under 60 seconds 
➤ Builds a full research dossier on every prospect — name, role, pain points, recent news 
➤ Classifies leads from P0 (buyer) to P3 (spam) so you never waste time on the wrong people 
➤ Writes unique cold emails for every single prospect — 0% template 
➤ Runs a 4-email outbound sequence with personalized hooks per lead 
➤ Monitors your posts for "Link?" "Interested" "Send me this" — and DMs them instantly 
➤ Nudges free trial users based on actual usage — not generic "welcome" emails 
➤ Tracks churned contacts and pings them when they change jobs 
➤ Sends you a Monday morning market intel briefing — competitors, funding, trends 
➤ Routes everything through a human-in-the-loop approval system with confidence scores 
➤ Stores your entire CRM in Markdown files you own forever 
 
No agency retainer. 
No GHL. No Zapier. No Mailchimp. 
No $1,447/mo stack that breaks every weekend. 
 
Just your post URL. And 5 minutes. 
 
Comment "OPENCLAW" and I'll send you the full playbook. 
 
(Like and repost this for priority access)

I analyzed thousands of AI search queries. The results were shocking.

Only 12% of URLs cited by AI rank in Google's top 10.

Ranking #1 on Google does not mean you win on ChatGPT.

Most agencies are still obsessed with backlinks and keyword density.

But 93% of AI Mode searches end with zero clicks.

If you aren't the direct answer, you are invisible.

The 'Old Way' is chasing blue links.
The 'New Way' is engineering citations.

We ran extensive research at PageTraffic.

We tracked citation patterns across ChatGPT, Perplexity, Claude, and Google AI Overviews.

Here is what the data says:

44% of ChatGPT citations come from the first third of the content.
Pages with FAQ schema get 2.7x higher citation rates.
Simple data tables increase AI citation by 2.5x.

Each engine has completely different behavior.

It isn't luck. It is structure.

So I built a complete optimization guide.

It removes the guesswork from AEO.

Here is what is inside:

→ How each AI engine ranks and selects sources differently
→ The exact citation signals that trigger AI recommendations
→ Quotability engineering frameworks
→ Content structures that LLMs prefer to pull from
→ Schema markup strategies for AI crawlers
→ Fact density and specificity benchmarks by industry

Stop optimizing for 2021. Start optimizing for 2026.

Comment "LLM" below.

I will send you the full guide.

1.5 billion "near me" searches happen every month.

I built a recurring workflow with Claude Cowork to capture this traffic.

Here is the system ↓

46% of all Google searches have local intent.
28% of those searches lead to a purchase.

If your GBP is not optimized, you are invisible.
But optimizing it takes 40 hours a month.

I stopped doing this manually.
I use Claude Cowork's Scheduled Tasks to run it for me.

The system does the heavy lifting.
It gives the algorithm exactly what it wants to see.

Included in the automated workflow:
→ Maps competitor primary and secondary GBP categories
→ Analyzes review velocity to find competitor weaknesses
→ Generates local schema markup (JSON-LD) structures
→ Audits citations across all directory listings
→ Builds an optimized local content engine

You do not need a bigger team.
You need better instructions.

Comment 'LOCAL' below.
I will send you the exact prompt system.

♻️ Repost this if you are tired of manual SEO audits.

I Tested All 21 Claude Cowork Plugins. Here's the Tier List Nobody's Publishing.

Anthropic just shipped 21 plugins.
The market called it the "SaaSpocalypse."

$285 billion in software stock evaporated.
Thomson Reuters fell 18%.
LegalZoom crashed 20%.

But nobody is talking about which plugins actually work.
Tech reviewers tested them for an afternoon.
Anthropic won't rank their own products.

You are left guessing.
Most people are burning credits on C-Tier tools.

Stop guessing.

I spent the last month running real agency workflows through every single plugin.
Not demos. Actual deliverables.
Technical audits. Content briefs. Backlink strategies.

The results were binary.
Some are toys. Some are employees.

**The S-Tier (Install Immediately):**
- Data Analysis: Spotted a massive crawl budget leak across 50k pages in minutes.
- Productivity: Acts like an Operations Manager. Syncs Trello, Slack, and Sheets.
- Research: The /analyze:serp command replaced 2 hours of manual competitor review.

Here is the dirty secret:
Plugins are just markdown files.
The barrier to creating your own proprietary tools is zero.

I compiled the complete rankings into The Claude Cowork Plugin Tier List.

It covers:
- The S, A, B, and C Tier rankings.
- The 3 "Enterprise Only" plugins you can't access yet.
- The setup scripts for the top 5 connectors.

Want the PDF?

Like this post.

Comment "LIST" below.

I'll DM it to you for free.

The Saigon hangover has officially worn off. 🇻🇳

Spoke at SEO Mastery Summit 2026 last week on Automating Local SEO — from Google Maps to AI Recommendations. Packed room, great energy, and some very good conversations (and drinks) after.

Big thanks to Mads Singers for putting together a world-class event. The lineup, the venue, the energy — all top-notch.

If you were in the room, drop a hello below. And if you grabbed the free templates or the https://promptlocal.ai/ report — hope they're useful! 🙌

Now back in India and already prepping for the next one — Phuket Marketing Summit on April 4th.

I had good fun with my friends Ravi Sharma, James Dooley, Andrea Abbondanza, Brian Kato, Kalin Karakehayov, Robert Niechciał, Kyle Roof, Eean Ovens, Alan CladX, Chris M. Walker, and many, many more.

#SEOMasterySummit #LocalSEO #AISearch #PageTraffic

22 pages of viral social media content. Generated in seconds. From a single god prompt. 

This is what happens when you combine prompt engineering with high-level marketing psychology. 

I recently tested a new prompt architecture on Claude Opus. My goal was to bypass generic advice and force the AI to act as a high-level Brand Strategist. 

The output is now my bible for content creation. 

It creates a bridge between "posting content" and "building an asset." 

I call it: The Viral God Mode Playbook. It is not a list of hooks. It is a system for attention arbitrage. 

I am sharing the exact workflow and prompt so you can replicate this result for your own personal brand or agency. 

What's inside the guide: 
- The "God Prompt" (Copy-paste ready). 
- Platform Engineering secrets for LinkedIn, X, and TikTok. 
- The 6 Psychological Drivers that force people to share. 
- A 90-Day Execution Roadmap to scale your authority. 

This is the blueprint for turning views into leads. 

Want a copy?

Like this post. Comment VIRAL below. 

I'll shoot the PDF over to your DMs for free.

Claude + Wispr Flow is the cheat code for productivity in 2026. It automates away 200+ hours of administrative friction for Agency Owners and Consultants.

I just finalized the Voice-to-Agent Playbook — grab your copy below.

I spent the last week stress-testing the Voice-to-Agent stack to ensure it actually works.

The magic happens when you pair Wispr Flow with Claude Opus 4.6 Cowork. The process is seamless:
→ You dictate complex instructions while walking or driving.
→ Wispr Flow converts speech to structured text instantly.
→ Claude Opus 4.6 Cowork accesses your local context and files.
→ The agent builds the output while you focus on high-leverage work.

I created The Voice-to-Agent Playbook to break down the exact setup.

It includes 7 plug-and-play voice workflows:
→ SEO: The Content Scaler (Rambling thoughts → Optimized Blog Briefs).
→ Sales: The Deal Closer (Post-meeting voice dump → Personalized Proposal).
→ Management: The Delegation Engine (Quick instructions → Asana/ClickUp Tasks).
→ Strategy: The Vision Mapper (Whiteboard talk → Structured Q4 Roadmap).
→ Client Success: The Onboarding Bot (Client nuances → Welcome Email Sequence).

Your keyboard is the bottleneck. Your voice is the scaler.

Want the PDF?

1/ Follow me so you don't miss the next guide.
2/ Like this post to support the research.
3/ Comment FLOW below.

I'll DM it to you for free.

♻️ Repost this to save a connection from manual data entry.

A human intern costs $3,000 a month.
Claude Sonnet 4.6 does the same work for $3.

It launched last week with a 1 million context window.

A human intern costs $3,000 a month to do this work.
This model costs less than your morning coffee.

High intelligence. Low price.

I tested it on 5 heavy workflows:

• Lead research and scoring
• Automated client reporting
• Meeting notes to action items
• Cold email drafting
• Competitive intel scanning

It nailed every single one. Zero errors.

I put together the full breakdown.
Every workflow. Every prompt. The exact math.

Like and comment "HIRE" below and I will send it to you.

Heading to Ho Chi Minh City for the SEO Mastery Summit 2026.

I’ll be sharing how we’re starting to automate parts of Local SEO - something we’ve been experimenting with heavily inside PageTraffic. The goal is simple: reduce repetitive work and build systems that scale.

What I always enjoy most about these events isn’t just the talk… it’s the conversations with smart people who are testing things, breaking things, and figuring out what actually works.

Looking forward to catching up with industry friends and meeting new ones. And thanks Mads Singers for the invite and making me opening speaker for the event 😎

No alternative text description for this image

"Act as a CEO" prompts are lazy and destroy AI output. I built 10 production-grade Claude agents to run my entire C-Suite.

Steal the full playbook ↓

When you type "Act as a CEO", the AI averages every executive on the internet.
You get a blend of Steve Jobs and a failed dropshipper.
You get the average.

To get real strategic output, you must constrain the model.

The Old Way: Generic prompts with zero context.
The New Way: Role-specific agents with frameworks, methodologies, and strict output formats.

I run operations across 4 SaaS products using this exact system.
Each agent has a specific job.

I compiled them into The C-Suite Squad Playbook.

It contains 10 copy-paste frameworks:
• Executive: The "AI CEO" (First Principles planning).
• Marketing: The "AI CMO" (TOFU/MOFU/BOFU mapping).
• Finance: The "AI CFO" (Unit economics forecasting).
• Operations: The "AI COO" (Theory of Constraints).
• Sales: The "AI CRO" (Pipeline velocity optimization).
• Engineering: The "AI CTO" (Build vs. Buy analysis).
• Product: The "Head of Product" (RICE scoring PRDs).
• Growth: The "Head of Growth" (ICE scoring viral loops).
• Retention: The "Customer Success" Strategist (Health scoring).
• HR: The "CHRO" (Topgrading hiring playbooks).

Stop asking Claude for advice. Start delegating to a team.

Want the complete PDF playbook?

1️⃣ Like this post.
2️⃣ Comment "SQUAD" below.
3️⃣ Make sure we are connected.

I will DM it to you for free.

P.S. ♻️ Repost for priority access — inbox gets busy fast.

Peter Drummond

VP of Sales | 100M$ Exit | Working for the scoreboard | Follow for sales & finance hacks

Templated emails are on their last leg. 

Reply rates have plummeted to near zero.

iGTM.ai delivers highly personalized emails that generate replies or we refund you.

Enter your domain to claim your campaign at iGTM.ai.

Due to the nature of our signals, we only take one client per industry.

DM me with any questions.

Vice President of Sales

Cold caller: Chad, Weapon: Hyper Personalized opener.

Prospect Response:

"I don't care about my job enough."

Chad frozen.

Not "we're happy with our current vendor." Not "call me back in Q4."

Just... existential confession to a stranger at 2pm on a Tuesday.

Chad, bless him, responds:

"oh goodness."

Prospect, without missing a beat:

"I only do it for the healthcare."

Then hung up.

"byeeeeee."

No objection handling framework in the world prepares you for that one.

Your options are:

A. hang up
B. offer counseling
C. make a joke

Chad chose silence.

Honestly? Correct call.

Founder iGTM.ai | Easy button for outbound |

Sunday night in January. Our carrier shut down the main value driver of our product. No warning.

3 clients launching the next day.

My engineers thought we were cooked. Honestly? I wasn't sure they were wrong.

This isn't some Hollywood comeback story. We didn't have a genius pivot or a lucky break. We just refused to break 3 rules.

Rule 1: Don't die.
Rule 2: Keep trying.
Rule 3: Don't give up.

Sounds stupid when you write it out. But when everything is falling apart, you'd be surprised how many founders forget the basics. They freeze. They spiral. They start planning their "lessons learned" post before the fight is even over.

We kept fighting.

The 3 clients? They stayed. I still think about that. In the middle of chaos, they bet on us anyway. That meant everything.

March. Two months later.

$2.4M in pipeline more than we can handle.

Keep Going!

Went from exec to cold calling strangers again.

No sugarcoating - that's the reality of being a founder

last week's numbers: I personally did 250 cold calls. 46 demos completed. all from our outbound engine.

the pace was brutal. way more demanding building something yourself than managing from the big chair

I barely hit the gym - 3 sessions when I usually do 6. my 10k runs? normally 4x a week. last week: zero. 

bad calls don't bother me anymore. but finding time to take care of myself? that's the real challenge right now.

so why do it?

I'm not just selling. I'm proving the process works. pressure testing that everything we're building at iGTM actually delivers. every cold call, every rejection, every closed deal - it's all data.

and the team? they booked 33 demos cold this week. they kicked my ass. and honestly, I couldn't be prouder.

I'm not complaining, I'm adapting

This week I'll be back in the gym 6-days a week and hitting those morning runs every day

curious how we're hitting triple digits on cold demos this month? hit me up

You don't need a marketing budget to start. You need one SDR who knows how to dial.

But here's the thing most sales leaders miss:

If your reps aren't making prospects say "Wow, is this a cold call?" you're already losing to teams running modern automated tools.

Here's the math that should wake you up.

20 outbound demos per month. $20k ACV. 20% conversion rate.

That's $80k in closed revenue. $400k in pipeline. From a $70k salary.

10x ROI. No ad spend. No brand awareness campaigns. Just outbound done right.

But here's how you actually hit those 20 demos consistently.

300 dials a day. 10% connect rate. That's 30 live conversations every single day.

Let's talk about that 300 number. Because most sales orgs are still running the 1950s playbook. One phone. One rep. 50 manual dials a day. Maybe 5 connects if they're lucky.

That's not a strategy. That's a handicap.

Low volume is a choice, not a constraint. The antiquated SDR approach, grinding through a call list like it's 1985 is dead. Parallel dialers changed the game. Your SDR can now run 300 dials while your competitor's rep is still on hold with their 23rd attempt.

But here's the brutal truth: volume means nothing if you can't convert.

The problem? Most SDRs drop the ball on those 30 chances. They connect and fumble. They get a decision-maker on the line and sound like every other rep reading from the same tired script.

The fix is a parallel dialer running AI-generated personalized scripts.

We're talking scripts built from deep research—not just surface-level info, but insights connected directly to the prospect's current business problems.

Here's what this looks like in daily operations: Our SDR connects with a decision-maker and opens by referencing a million dollar deal they just closed

The prospect's reaction? "You have me at a disadvantage."

That's what deep research does. It makes decision-makers stop mid-sentence and say "Wow, is this a cold call?"

Yes. Yes it is. And it's about to book a meeting.

Delivered live through a parallel dialer that ensures your SDR never fumbles those 30 daily conversations.

That's the difference between 2% and 20% booking rates.

46 demos last week.

Hectic doesn't begin to cover it.

But here's what I see constantly: early stage sales leaders obsessing over qualification criteria when they have zero pipeline.

You just joined as Head of Sales or VP. You're building out a motion from scratch. And you're creating elaborate scoring systems for leads that don't exist.

Stop.

Take every meeting you can. But not just to "learn."

You're iterating your offer. Testing your pitch. Refining until someone says "why would I say no to this?"

That's the signal. That's when you know you have something.

Until you hear that, keep going.

You cannot qualify what you don't have.

Think of it like this:

Pipeline is water. Qualification is a dam.

When you're at a drip, a dam is useless. You need volume first. You need flow.

Once you figure out how to turn that drip into a river, then you build the dam.

Then you get selective. Then you gate.

But not before.

BANT. Lead scoring. ICP checklists. Qualification frameworks.

I get it—you want to show you're building something rigorous. That you're not just "taking meetings."

But none of it matters until you have more pipeline than time.

Don't build a dam for a drip.

Chad and Sean just booked 10 demos in a 3-day work week.

The average outbound SDR books 10 demos a month.

They're just starting to ramp. The goal is to double that.

Here's the playbook:

2 systems. That's it.

Zoominfo for leads. iGTM for signals, research, parallel dialing, LinkedIn, and email.

No bloated tech stack. No analysis paralysis.

Day 2 they were on live calls.

Not watching training videos. Not shadowing for two weeks. On the phones, talking to prospects.

Speed to execution beats perfect preparation every time.

On the phone they run challenger sales.

Push back. Challenge assumptions. Lead the conversation instead of reacting to it.

Every touchpoint is personalized.

The opener. The discovery questions. The follow-up messages. Nothing generic. Nothing templated.

Multi-channel execution running in parallel.

Dialing while LinkedIn messages go out while emails land in inboxes. Not sequential. Simultaneous.

This is how you ramp fast:

Simplicity. Speed. Personalization.

Stop overcomplicating the tech stack. Stop delaying live reps. Stop sending generic outreach.

Give your SDRs two good systems, get them on calls immediately, and demand personalization at every touch.

The results speak for themselves.

If you want to use the platform we're giving 1 rep in 100 companies  a free seat

Chad and Sean just booked 10 demos in a 3-day work week.

The average outbound SDR books 10 demos a month.

They're just starting to ramp. The goal is to double that.

Here's the playbook:

2 systems.

"Wow, is this a cold call?"

Want the script that gets this kind of response

It's custom generated for every prospect we call

"Congrats on that 1m dollar deal, that's awesome! You got 30 seconds to chat about how to rack up more wins like that?"

Deep research told us they'd recently closed a million dollar deal. Our ability to reference that at the top of the call differentiated us from every other voice hitting their phone that day.

This is what piques curiosity, hyper relevance, to something your prospect cares deeply about

When you know something specific about their world, something they're proud of, something that matters, you're not interrupting anymore.

You're starting a conversation.

The old trade-off said you could have relevance OR volume. Deep research on every prospect, or hundreds of dials a day. Pick one.

That choice is dead.

The first parallel dialer built for high-signal research eliminates it entirely. iGTM.ai makes this level of depth possible at scale.

We're giving 1 SDR a free seat at the first 100 organizations. That sign up

The numbers were off. So I picked up the phone myself.

Not to micromanage. To feel what was broken.

Within the first few dials, I knew. Prospects were hanging up faster than they should. The script looked fine on paper. But saying it out loud? Something was off.

Here's what we had:

"Congrats on the acquisition by CSI back in October, that's a massive milestone for the team. Do you have 30 seconds to chat about how it's getting tougher to get Digital Banking and IT Leaders at community banks to have a meaningful conversation on the phone and LinkedIn?"

See the problem?

We mashed the pattern interrupt and the question together. No room to breathe. The compliment couldn't land before we were already asking for time.

So I split them.

Opener: "Congrats on the acquisition by CSI back in October, that's a massive milestone for the team."

Pause. Let it land.

Then the question: "Do you have 30 seconds to chat about how it's getting tougher to get Digital Banking and IT Leaders at community banks to have a meaningful conversation on the phone and LinkedIn?"

I tested it on my own calls first. The difference was immediate. Prospects actually responded to the compliment before I moved forward.

One button push. The fix went live to the whole team.

250+ cold calls later, I'm more convinced than ever.

You can't manage a script you've never lived. You can't diagnose what you've never felt. And you definitely can't fix what you've only read about in a dashboard.

So I'm curious - what are you testing on the phone right now to move the needle on conversion?

We failed for months in a row.

Every week was a different test. New ICP. New offer. New persona. New channel. Nothing stuck.

Then we started booking multiple demos a day.

That's when we knew we had something.

The difference wasn't luck. It was the speed of our testing loop.

Here's the framework:

Test your offer. Test your persona. Test your niche.

Set clear parameters. Realistic expectations. No "let's see what happens" - define what success looks like before you start.

Execute. Actually run the test with enough volume to matter.

Measure. Did it work or not? No feelings, just numbers.

Repeat.

The faster you can make your OODA loop, the better off you'll be. Weekly iteration beats monthly iteration every time.

Most teams waste months because they're afraid to kill something that isn't working. They give it "more time" when what it needs is a funeral.

We're giving away a free multi-channel sequencer to the first 100 reps at 100 companies to help speed up that testing process. 

We gave away 20 last week. 80 left.

Hit me up in the comments to see if you qualify

We failed for months in a row.

Every week was a different test. New ICP. New offer. New persona. New channel. Nothing stuck.

Then we started booking multiple demos a day.

That's when we knew we had

taplio

The Battle

Navneet Kaushal

Peter Drummond

Followers

Posts

Engagements

Likes

Performance ScoreNavneet Kaushal's LinkedIn Performance

Performance ScorePeter Drummond's LinkedIn Performance

Ready to grow your LinkedIn presence?

taplio

The Battle

Navneet Kaushal

Peter Drummond

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);}Navneet Kaushal's LinkedIn Performance

Performance ScorePeter Drummond's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreNavneet Kaushal's LinkedIn Performance