Writer

With over 19 years of experience as a Freelance Writer and Researcher, I specialize in creating content that informs, inspires, and engages. My work reflects a strong foundation in storytelling, and cultural research, underpinned by a Master's in Philosophy.  

Currently serving as a Researcher, I focus on exploring and weaving deeper cultural and human narratives. My commitment lies in collaborating on projects that merge research and storytelling to elevate collective understanding and showcase the richness of the human experience.

Samita Chatterjee

International Expansion at Disney+Hotstar | Digital Strategy & Consulting

I’ve spent the better part of the last 2 decades taking an unusual but rewarding path - one that’s taught me how to adapt, build, and keep moving forward. Looking back, the pattern is clear - I’m a builder. I thrive on curiosity, push boundaries through experimentation, and choose impact over convention every time.

From Idea to Flipkart to moving cities, my early career was full of transitions. Somewhere between the moves and milestones, I discovered my love for marketing. What started as side gigs soon evolved into running my own agency, and that’s when the bigger picture began to take shape.

I later returned to corporate, working with TVF, MX Player, and Disney+ Hotstar. Each role sharpened my skills and gave me incredible mentors. Today, I’m tight-knit into B2B SaaS, where I get to combine everything I’ve learned into something that truly excites me.

Outside of work, I love teaching. I’ve delivered lectures at MDI, IIMs, and other management colleges - sharing what I’ve learned and, in return, learning even more from bright young minds.

Swati Paliwal

I’ve noticed more companies quietly hiring for one skill that didn’t used to sound business-critical: storytelling.

Not storytelling as brand campaigns or taglines. Storytelling as the ability to explain what’s happening, why it matters, and how different pieces connect. LinkedIn job data shows roles mentioning “storytelling” as a core skill have grown steadily across marketing, product, and leadership functions over the last few years.

This keeps surfacing because many teams struggle with clarity as they scale. The product works. The market exists. Metrics look fine. But when someone outside the team asks what the company actually does and why it matters now, the explanation starts to wobble.

Buyers don’t wait around for clarity to improve. Research consistently shows B2B buyers complete roughly 60–70% of their decision process before speaking to sales. If the story isn’t clear by then, confusion shows up as stalled deals, internal hesitation, or long decision cycles.

That’s why this skill is spreading beyond marketing. Product teams use it to explain trade-offs. Sales teams rely on it to frame urgency. Leadership needs it to keep teams aligned around direction, not just dashboards.

Good storytelling here is practical. It helps someone explain the problem clearly in a meeting. It reduces back-and-forth. It saves time.

When growth makes things harder to explain, it’s rarely a tooling problem. It’s usually a story problem.

Where does that show up most clearly in your team today?

Founder - ReSO | Ex Disney+ | AI powered GTM & revenue growth | GEO (Generative engine optimisation)

2026 is the new 2016. One decade full of growth & ironically, full-circle.  

Back in 2016, I was the founder of Richfield; An agency for inbound marketing & SEO as a service for companies. 

Today, in 2026, I am the founder of Resollm.ai; An AI agent SaaS platform which will replace SEO agencies to drive revenue growth from Inbound search for companies.

Never really thought how far this'd come. Or that it'll come to this. It shows that so much can happen in a decade. We got LLMs, LLMs surged and shifted search behavior. Two different times, a new market. And a head full of dreams to do something I absolutely love. 

Wiser, stronger, and even a mother! How much has my outlook and perspective grown. My biggest takeaway? 

Take action. Don't try. Do it. 
Refine, redo, redefine. 

2036? Honestly, my target is to retire somewhere in the hills. For now, riding the non-linear line of growth.


#B2B #ReSo #WomenInLeadership

Not everything needs to be said.

And not everyone needs to know.

There’s a difference between honesty and exposure. Truth is powerful but sharing it at the wrong time, with the wrong audience, and without control has been the cause of undoing of many people.

Plans fail when they’re announced before they’re executed. The moment intent is spoken, it becomes open to interpretation, resistance, and interference. Let your results speak for themselves and not your words.

The same applies to weaknesses, fears, and change. Information is leverage. Once someone understands where you hesitate, what you fear, or what you’re about to do next, they no longer need to guess. Silence preserves optionality.

Words function like arrows. Once released, they can’t be recalled or redirected. Until then, they remain fully under your control.

So stop explaining yourself (and your plans) prematurely.

What’s something you no longer feel compelled to explain?

AI trends look fun.

Cartoon filters. Celebrity selfies. Younger versions of you.

But every upload gives away something most people ignore: your biometric data. Your face is your identity.

Once it’s out there, it can be stored, trained on, sold, leaked, or misused in ways you never signed up for. I’m not saying don’t use AI. I’m saying use it with awareness.

Your face is personal data. Protect it like you protect your money.

This is part of my AI Literacy Series: breaking down what’s really happening behind “harmless” AI trends.

So let me know below what else would you like to know related to AI Literacy.

Google quietly split search into two different intelligence systems.

AI Overviews and AI Mode don’t just look different. They think differently.

An analysis of 730,000 response pairs shows this clearly:
↳ They cite different sources 87% of the time
↳ Only 13.7% of citations overlap
↳ AI Mode answers are 4× longer
↳ Yet both agree on the core facts 9 out of 10 times

Same conclusions. Different paths. Even more interesting? There’s 86% semantic similarity, yet only 16% of unique words overlap. Google’s AI systems agree on what matters, but not on how they explain it or who they cite. Visibility is about being semantically indispensable. 

What matters now:
↳ Tracking AI Overviews and AI Mode separately
↳ Building semantic authority, not keyword coverage
↳ Owning topics deeply enough to be useful across multiple reasoning systems

The question is no longer “Do you rank?” It’s “Does the system need you to answer the question?”

What’s your strategy shift? Share them with me below. Would love to have a chat.

Google AIO VS Google AI Mode

B2B buyers spend most of their time trying to figure out which problems are worth fixing, not which products to buy.

That part of the process is messy. People read a mix of reviews, Slack threads, Reddit comments, analyst notes, and whatever their peers already trust. Most of the time they already know how to solve the problem; they’re deciding if it deserves attention this quarter.

This is where marketing carries weight. When you consistently show the buyer what the problem costs them, how it shows up in their day, and why it keeps resurfacing, you help them move it higher on their internal list.

This requires clarity more than it requires big claims.

Small, specific examples of the friction they already feel. Stories that sound familiar. Proof that other teams solved the same issue and saw a clear lift.

The brands that stay top of mind are the ones that give buyers language they can take into their next meeting: “Here’s the issue, here’s why it matters now, and here’s why we should consider fixing it.”

If your messaging made one buyer conversation easier this week, it’s already doing its job.

What’s one everyday pain point in your category that buyers instantly recognise when they see it framed well?

What do the fastest growing companies have in common? Just one thing:

They’ve evolved from founder-led sales. 

The reason? Simply because the system starts doing the heavy lifting. 

Which is why I’m so excited to host Monika: Fractional VP of Sales & Founder of Strattik Sales Consulting on what actually works while scaling revenue. 

What you’ll walk away with?
↳ How to unlock 10X Growth with the right sales systems
↳ ⁠When & how to evolve from founder-led to real sales engine
↳ ⁠Where AI & automation actually help. And when they don’t. 
↳ ⁠Secret sauces Fractional VPs use for teams to apply in 30-60 days. 

So if you’re a B2B startup wanting a more predictable revenue in 2026, this conversation is tailored for you. 

Grab your coffee or tea, sit with us to know what’s working right now, and jot down your quick takeaways. 

Join us in the link below.


#B2B #LinkedInLive

There’s been a lot of talk lately about “chunking” content to make it more LLM-friendly. Google’s guidance adds an important nuance that’s easy to miss.

The takeaway isn’t “don’t structure your content.” It’s “don’t restructure it purely to satisfy an assumed AI pattern.” Breaking a coherent idea into artificial micro-sections just to look extractable doesn’t improve usefulness, and it’s unlikely to hold up over time.

That said, reader-first chunking still works and it works well. Clear headings, short logical sections, summaries where they help, and strong internal navigation make content easier to understand and easier to scan. Those choices serve real user intent, not a guessed retrieval behavior.

The line is crossed when formatting becomes mechanical. Content loses coherence if you’re stripping nuance to manufacture snippets, duplicating pages for “humans vs AI,” or forcing every answer into tiny fragments (even if it looks optimised).

↳ A better approach is situational.
↳ If a topic needs depth, keep it intact and structured.
↳ If a query needs a fast answer, lead with it and then expand.
↳ Let the shape of the content follow the question being asked.

AI changes how content is surfaced, not why it exists. Pages that answer fully, stay readable, and respect intent tend to age better than pages designed around a single retrieval assumption.

How are you deciding when to go deep and when to keep things concise in your content today?

Brand SEO is becoming inseparable from AISO.

As AI-led discovery grows, more people encounter brands before they ever visit a website. They hear a name in a conversation, see it mentioned in a post, or ask an AI tool for options. The next step is usually a brand query which is now a decision checkpoint.

In AI search, models rely heavily on brand signals to decide what to surface. Clear positioning, consistent naming, authoritative pages, and well-defined comparisons all feed into how LLMs understand and represent your brand. 

Visibility will drop if this layer is weak.

This is where Brand SEO becomes foundational to AISO. Pricing pages, comparison pages, alternatives, use cases, and FAQs help AI systems map who you are, what you do, and when you’re relevant.

AISO starts with making your brand easy to understand, easy to place, and hard to misrepresent. Brand search should not be taken as a defensive strategy. It shapes how buyers and AI systems interpret your brand at the same time.

When someone already knows your name, does your digital footprint help both humans and AI move the conversation forward?

taplio

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Samita Chatterjee

Swati Paliwal

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taplio

The Battle

Samita Chatterjee

Swati Paliwal

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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);}Swati Paliwal's LinkedIn Performance

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