Prince Kumar is a LinkedIn creator who writes about digital marketing, especially SEO and AI-era search, and uses brand case studies to explain marketing and business strategy.
Prince Kumar is most useful as a guest expert on SEO, AEO and brand strategy.
Best for
A B2B marketing agency or SaaS firm wanting guest content on AI-era search.
Not for
Paid social launches judged on reach and direct sales in India.
Key takeaways
AI search chain: question, AI answer, brand recommendation, citation.
What the internet says about a brand matters more than its own site.
Titan shows turning License Raj constraints into an advantage.
Check first: Ask for media kit, audience demographics, and data behind post claims.
Main ideas
In AI search, the goal is to be part of the answer, not the top link · What the internet says about a brand matters more than its own site · Consumers pay for perception, not the product
Prince Kumar is a LinkedIn creator whose posts explain digital marketing and business strategy through short frameworks and brand stories.
Their work connects SEO and AI-era search with a broader point: brands need to earn trust and recognition, not just rank for keywords.
They also use examples such as Titan Watches, Diet Coke and KitKat to discuss customer experience, perceived value and timely brand responses.
Follow their posts for accessible marketing arguments and case-study-style explanations.
Prince Kumar makes marketing ideas easy to grasp with clear contrasts and sequences, applied to recognizable examples.
In one post, they recast AI search as “question → AI answer → brand recommendation → citation” and ask brands to work backwards from the questions they want to answer.
In another, they use Titan’s joint venture, early move toward quartz watches and retail experience to show how a company could turn constraints into an advantage.
Their range also includes lighter, timely interpretations of KitKat’s response to a theft story and Diet Coke’s return at a higher price.
The examples and claims in these posts are not accompanied by underlying data or links, so marketers seeking evidence of performance should ask for supporting materials.
Prince Kumar writes for a business audience on how brands get found and chosen.
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Two arguments run through the posts: search is shifting from ranked links to direct answers, so the aim is to be the source an AI tool cites; and branding, not manufacturing or product features, lets a company charge more and stay remembered.
The recurring method is the business case study: a provocative opening, a chronological story, numbered lessons, then a question back to the reader.
The priority is always a practical takeaway a marketer can act on, usually built from publicly reported events rather than original data.
In AI search, the goal is to be part of the answer, not the top link
Prince Kumar argues that the search journey has changed from search, results page, rank and click to question, AI answer, brand recommendation and citation.
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A brand no longer needs to be the first result; it needs to be named in the answer produced by ChatGPT, Perplexity or Gemini.
That reframes the planning question from "what keyword should I rank for?" to "what question do I want my brand to be the answer to?"
The work then runs backwards: which questions people actually ask, which brands AI mentions, which sites it cites, and whether Reddit or review sites are shaping the reply.
The companion post states the same shift more bluntly: stop optimizing for AI and become the source the tool trusts instead.
Keywords help you get discovered; intent helps you get recommended.
The query rewrite they use to show the shift: from "best CRM" to "What's the best CRM for a small business with a limited budget?" AI tools are built to answer longer, more specific questions, and businesses that answer them clearly are most likely to be referenced.
Across the two posts, the same idea moves from a journey map to a trust argument. Both treat AI visibility as a live question rather than a measured result: one closes by asking readers whether they have seen AI-driven traffic yet, while the other notes that the fundamentals it lists are conventional.
What the internet says about a brand matters more than its own site
Prince Kumar's sharper claim is that AI tools evaluate reputation, not just pages.
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Reviews, mentions, content, authority and brand presence across the internet make a source citable, so the work isn't adding more keywords to a site. They sum up the position as SEO plus brand plus trust, then outline the checks that follow: what questions people ask, which brands AI names, which sites it cites, whether review sites are referenced, and what makes a source trustworthy enough to quote.
The post names outside inputs that can shape an AI answer, including review sites and Reddit, and argues that a brand's mentions elsewhere on the web can determine whether it appears in the reply.
Using Diet Coke's return to the Indian market, Prince Kumar argues that willingness to pay more comes from scarcity, identity, aesthetics and emotional attachment rather than any change to the product.
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The formula did not change, yet the drink returned at close to three times the price and still sold: scarcity built demand, nostalgia justified the pricing, and premium packaging elevated how it was seen.
They argue that perceived value often matters more than actual product value, and that the marketing task is sometimes to change how people feel about owning something rather than change the thing itself.
To assess the claim that people kept buying, ask for sales data.
Supply-chain disruption and aluminium can shortages removed Diet Coke from shelves for weeks. It returned in premium glass bottles at roughly three times the old price, and Prince Kumar treats the continued demand as a lesson in perception rather than pricing.
Prince Kumar relays and endorses an observation from Anupam Mittal on the Think School podcast: most people cannot name three chair brands, even though India is full of furniture makers, factories, suppliers and traders.
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The argument is that Indian companies have focused on making products rather than turning them into names people recall, and that products compete on price while brands compete on perception, trust and recall.
Their conclusion is that India has a branding opportunity rather than a manufacturing problem.
The point rests on a single borrowed example; ask for category data to gauge how broadly it applies.
The chair-brand test: ask someone to name three chair brands and most people cannot. Prince Kumar uses this to show how many Indian categories have manufacturers but no widely known brand.
Regulation and constraints are where the openings are
The Titan Watches post is Prince Kumar's most developed case study.
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Under the License Raj, private companies were barred from watch manufacturing, and the industry was reserved for public-sector firms like HMT.
They frame the problem as customer experience rather than demand: HMT's waiting lists pushed even junior Tata employees into the grey market, while boardroom colleagues wore imported Seiko or Rolex.
Tata's route in was a joint venture with the Tamil Nadu government, an early bet on quartz before restrictions on quartz watches were lifted in 1984, and a retail experience built on air-conditioned showrooms, trained staff and fast after-sales service.
The lessons are that constraints force creativity, opportunities hide behind regulations and limitations, technology gives an advantage only when you're early, and great products win attention while great customer experience builds brands.
Ask for a source and date for the figure giving the Tamil Nadu government's original stake as 28%.
Xerxes Desai noticed that nearly everyone in the Tata boardroom wore imported watches. Prince Kumar uses that detail to turn a licensing story into a demand problem the company could solve with experience rather than manufacturing rights.
When a brand loses control of a story, that can be the point
Reading the theft of 12 tons of KitKat bars in Europe as a marketing decision, Prince Kumar argues that the brand gained visibility by responding with humour instead of staying silent, and by letting the internet play rather than over-controlling the narrative.
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The three reasons it worked, they say, are that the story was strange enough to grab attention, the stakes were low enough to joke about, and the brand did not try to manage the conversation. The closing line — attention over perfection — captures the position: marketing is sometimes about recognising a moment and riding it better than others, not creating one from scratch.
KitKat's reply that the thieves must have taken the "have a break" slogan too seriously, followed by memes, other brands joining in and tech companies posting mock condolences, is the moment Prince Kumar identifies as turning a supply-chain problem into reach.
Answers the basic question of how AI-era search changes a brand's job.
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Start here for Prince Kumar's clearest one-line framework.
Prince Kumar lays out a four-step chain — question, AI answer, brand recommendation, citation — and contrasts it with the older path of search, results page, rank, click.
The practical argument is that a brand no longer has to be the first result; it has to be part of the answer.
They then list the checks that follow: which questions people actually ask, which brands AI names, which sites AI cites, and whether Reddit or review sites are shaping the reply.
The closing instruction is to work backwards from the question you want your brand to be the answer to, rather than the keyword you want to rank for.
Ask for a measured before-and-after to see how the framework performs in practice.
For brands planning a campaign
Useful as a framing device for an SEO, AEO and brand-strategy collaboration: it gives a shared vocabulary for what the guest expert would cover, but a campaign would need Prince Kumar to supply worked examples to move past the framework stage.
Answers the objection that AI search is a separate discipline from ordinary marketing.
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Read it for the argument that reputation, not site tuning, drives AI recommendations.
The post takes a deliberate contrarian position, then softens it.
Prince Kumar says most people ask 'How do I optimize for ChatGPT?' when they should ask 'How do I become the source ChatGPT trusts?' The list behind that claim is conventional: topical authority, helpful content, clear site structure, fast pages, consistent brand mentions, real-world credibility.
The sharper point is about language — 'Keywords help you get discovered.
Intent helps you get recommended' — and scope: AI reads reviews, mentions and brand presence, not just the site.
They illustrate the intent shift with a query rewrite: from 'best CRM' to 'what's the best CRM for a small business with a limited budget?' The framing is 'SEO + Brand + Trust'.
The post closes by asking readers whether they have seen AI-driven traffic yet; ask Prince Kumar for evidence of that traffic before treating the argument as a settled result.
For brands planning a campaign
Good supporting evidence for a brand-strategy angle, because the argument links AI visibility to reputation and reviews rather than to a technical checklist. Ask for client data and measurement before treating it as proof of performance.
Answers what a full Prince Kumar case study looks like when they have room to develop one.
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Read it to judge their research style before committing to a collaboration.
This is the longest and most structured of the six posts.
Prince Kumar tells the story of Titan Watches under the License Raj, when private companies could not manufacture watches and the industry was reserved for public-sector firms like HMT.
They describe Xerxes Desai noticing that Tata boardroom colleagues wore imported Seiko or Rolex, and frame the problem as customer experience rather than demand.
The four numbered moves are the joint venture with the Tamil Nadu government, the early bet on quartz before 1984 restrictions lifted, and a retail experience built on air-conditioned showrooms, trained staff and fast after-sales service.
They cite the Tamil Nadu government's original 28% stake as now worth around ₹84,000 crore.
The post ends with extracted lessons about constraints, regulation and customer experience, and points readers to 'Made in India: A Titan Story'.
Ask for the source and date for the financial figure.
For brands planning a campaign
This is the strongest demonstration of Prince Kumar's ability to build a narrative around a specific company decision, which suits a case-study-led guest collaboration. Verify the stake valuation and any figures before reusing them in published client-facing content.
Answers how Prince Kumar handles perception and pricing.
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Read it for a compact example of the brand-psychology lens they apply to category problems.
The post is built on a scarcity story: supply-chain disruption and aluminium can shortages removed Diet Coke from the Indian market for weeks, and it came back in premium glass bottles at close to three times the price.
Prince Kumar's claim is that the formula did not change, so the willingness to pay more came from perception — scarcity, identity, aesthetics and emotional attachment.
Their summary line is that perceived value often matters more than actual product value, and that the marketing task is changing how people feel about owning something rather than changing the product.
They end by asking readers whether it was strategy or consumer psychology.
Ask for sales data to support the claim that 'people still bought it'.
For brands planning a campaign
A usable hook for a brand-positioning segment in a collaboration. Treat the pricing and demand claims as commentary to be checked, not as evidence of campaign performance.
Answers how Prince Kumar reads a live news moment as a marketing decision.
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Read it for their take on brands giving up control of the narrative.
The premise is that over 400,000 KitKat bars disappeared in transit across Europe and the brand responded with humour — 'Looks like thieves took our "have a break" too seriously.' Prince Kumar describes memes spreading, other brands joining in, and tech companies posting mock condolences, then argues the incident became visibility rather than a PR problem.
Their three stated reasons are that the story was strange enough to grab attention, the stakes were low enough to joke about, and the brand did not over-control the narrative.
The closing line is 'attention > perfection'.
Chocolatory is named in the post, which sits oddly beside the parent-brand response described.
Ask for links to coverage to verify the sequence of events.
For brands planning a campaign
Shows a practical instinct for reactive, low-stakes brand voice work, a different offer from SEO or AEO. Useful if the collaboration is meant to cover social and brand storytelling alongside search.
Answers what market-level problem Prince Kumar returns to.
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Read it to see the case they make for branding over manufacturing in India.
Prince Kumar builds the post around a remark they attribute to Anupam Mittal on the Think School podcast: ask someone to name three chair brands and most people cannot.
From that, they argue India has plenty of manufacturers, factories, suppliers and traders but very few category-owning brands, and that the focus has been on making products rather than building them into names people recall.
Their distinction is that products compete on price while brands compete on perception, trust and recall.
The conclusion is that India has a branding opportunity rather than a manufacturing problem, and they close by asking readers which Indian category is still most under-branded.
Ask for category data to support the argument.
For brands planning a campaign
A strong positioning angle for a brand-strategy conversation aimed at Indian B2B and D2C clients, where the audience already accepts the premise. The Ask-a-question ending also gives a natural format for a co-authored or guest piece.
LinkedIn-first thought leadership with practical takeaways6
AI-era search: from ranking to being cited2
Brand-building as a missing growth lever2
Case-study method: turning business history into strategy lessons1
Reactive marketing and riding unplanned moments1
AI-era search: from ranking to being cited
In two posts, Prince Kumar argues that AI tools such as ChatGPT, Perplexity, and Gemini are shifting search from links to direct answers.
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Marketers should ask what question they want their brand to answer, then work backwards through question, answer, recommendation, and citation.
Trust signals matter more than keyword hacks: topical authority, helpful content, clear site structure, fast site experience, consistent brand mentions, reviews, and third-party reputation.
AI evaluates what the internet says about a site, not just the site itself.
For brands planning a campaign
Suitable for guest-expert collaborations on SEO, AEO, and brand strategy for AI-era search, especially on becoming a cited source and auditing questions, citations, and reputation signals.
One post relays Anupam Mittal's observation that India is under-branded in many categories: manufacturers, factories, suppliers, and traders are common, but category-owning brands are rare.
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Products compete on price, while brands compete on perception, trust, and recall. Another post points to Diet Coke's return to India at roughly three times the price to illustrate perceived value: scarcity, identity, aesthetics, and emotional attachment can make a higher price acceptable even when the product itself has not changed.
The India branding post attributes its central observation to Anupam Mittal on the Think School podcast rather than presenting it as original research.
For brands planning a campaign
Useful for campaigns on brand strategy, positioning, premiumization, and consumer psychology, particularly for brands in commoditized categories that need to move beyond product-and-price arguments.
Case-study method: turning business history into strategy lessons
The Titan Watches post opens with a conflict: the Indian government did not want private companies in watch manufacturing, yet Titan found a legal route through a Tamil Nadu government partnership and built a large business.
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Prince Kumar traces the License Raj context, the partnership, the bet on quartz technology, and the decision to build a premium retail experience. The post closes with numbered lessons: constraints force creativity, opportunities hide behind regulations, technology gives an advantage only when adopted early, and great customer experience builds brands.
The format is consistent: a provocative opening, chronological business story, numbered strategic lessons, then a reader question.
For brands planning a campaign
Good fit for sponsored case-study explainers or guest posts that pair a specific brand story with practical strategy lessons for a B2B audience.
The KitKat post describes 12 tons of bars stolen in Europe, then explains how the brand responded with humor instead of going silent.
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Memes spread, other brands joined, and a supply-chain problem became a source of visibility.
The stated lessons: marketing sometimes means recognizing a moment rather than creating one; low stakes and a weird story made the joke possible; and the brand did not over-control the narrative.
The closing line: attention matters more than perfection.
For brands planning a campaign
Relevant for real-time marketing, social listening, brand voice, and risk-tolerant social response; useful for agencies planning reactive content or training on when a brand should join a cultural moment.
LinkedIn-first thought leadership with practical takeaways
Prince Kumar's posts use short paragraphs, bold claims, bullet lists, numbered lessons, hashtags, and a direct question or follow request.
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Topics range from AI-era search to brand case studies, with each post moving from a hook to a structured explanation and practical takeaway. They target a LinkedIn business audience rather than offering long-form technical documentation.
For brands planning a campaign
Works for sponsored LinkedIn thought-leadership posts where a brand wants an educational narrative, a clear framework, and an invitation to comment or discuss.
Prince Kumar writes about how AI-era search changes brand visibility and how Indian and global brands win through positioning.
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The two AI-search posts make the case that being cited matters more than ranking; the Titan Watches case study shows the method behind the business stories: a hook, company history, numbered lessons and a practical takeaway.
Tags group the topics, recurring case-study format and business audience.
Similar creators offer adjacent angles: tactical SEO prompts, founder-led company histories and Indian consumer-market strategy.
Writes long-form Indian business case studies in the storytelling mode Prince Kumar uses for Titan Watches and Diet Coke: a hook, company history, numbers and lessons.
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Both turn company episodes into strategy reading for a business audience.
Abhishek Mall stays inside the company story and is willing to end on a critical note about limits and ceilings, as in the Gits post. Prince Kumar more often connects a case to a marketing or AI-search takeaway and uses numbered lessons.
Covers AI-era SEO and ChatGPT's role in search, the same territory Prince Kumar addresses in the AEO and GEO posts.
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Both explain how brands can appear in AI answers and what content work supports it.
Daksh Jain's posts are tactical listicles—prompts, free Google tools and step-by-step SEO tasks—for beginners. Prince Kumar works at the level of trust, reputation and brand strategy, with less tool instruction.
Prince Kumar analyses Indian consumer and brand strategy through corporate moves, such as Uber's safety features and IndianOil's retail expansion.
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Like Yash Patel, they read business events for a larger shift in how consumers choose brands.
Yash Patel focuses on market structure, platform economics and trust as a product. Prince Kumar splits attention between AI search and brand perception, using case studies with numbered marketing lessons.
Prince Kumar's posts answer only part of the audience question.
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The one measured figure is a LinkedIn following of 4,906 accounts, observed on October 9, 2026.
That is small by creator-marketing standards, so for the agency's guest-expert collaboration the case rests on subject-matter credibility with a practitioner audience, not on distribution reach to a large consumer base.
What that audience cares about is inferred from six posts, published between March 16 and September 17, 2026, not from demographics.
The writing is addressed to people making marketing decisions: it explains the shift from keyword SEO to answer-engine visibility, argues that AI tools weigh a brand's reputation across the web as much as its own site, and walks through Indian and global brand case studies — Titan Watches under the License Raj, KitKat's stolen-shipment response, Diet Coke's return to India at roughly three times the price, and Anupam Mittal's observation that Indian categories are under-branded.
Selected examples include the SEO/AEO posts and the brand case studies; both are written as teaching pieces with numbered lessons and explicit takeaways, and the recurring sign-offs and repost requests suggest the intended reader is a peer marketer or founder rather than a consumer.
For a guest expert collaboration on SEO, AEO, and brand strategy for AI-era search, the honest read is that a B2B agency would be buying access to an engaged but modest professional following, plus content that already speaks the agency's language.
It would not be buying verified reach into a specific job title, company size, or geography, because Prince Kumar's posts do not measure those.
Before committing, ask Prince Kumar for: (1) LinkedIn follower demographics if the platform exposes them, including country breakdown; (2) engagement rates on recent SEO/AEO posts versus the brand case-study posts, so the agency can see which content actually pulls its kind of buyer; and (3) any audience survey showing occupation or seniority.
The follower count can inform reach; it cannot tell the agency whether its buyers are in the audience.
LinkedIn followers
4906
LinkedIn profile for Prince Kumar (linkedin.com/in/princekumar-digitalmarketer) · 2026-10-09
Prince Kumar’s LinkedIn posts offer marketing commentary and brand case studies, rather than a published partnership package.
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They analyse how Diet Coke’s return changed perceptions of value, how KitKat turned a theft story into a social moment, and how Titan built a watch business around customer experience and technology.
Their posts also explore SEO, AI-era search and brand trust.
Good fit: a B2B marketing agency or SaaS company wants a guest expert to write and speak about SEO, AEO and brand strategy for AI-era search, aimed at its own clients and prospects.
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Prince Kumar's posts offer a usable point of view rather than generic advice.
The clearest is a four-step chain: a buyer asks a question, an AI tool answers, the answer names a brand, and that brand earns the citation.
The practical instruction is to work backwards from the question you want your brand to answer, rather than the keyword you want to rank for.
A second post argues that AI tools weigh a brand's reputation across the web—including reviews, mentions and third-party sources—not just its own site, and sums up the position as SEO plus brand plus trust.
Together, the posts give a collaboration a real spine: an argument, a sequence of steps and checks a client team could run.
The same writer can carry a brand-strategy conversation alongside the search material.
One post relays Anupam Mittal's observation that India is under-branded in most categories, where manufacturers are plentiful but category-owning brands are rare, and argues that products compete on price while brands compete on perception and recall.
Another uses Diet Coke's return to the Indian market at close to three times the price to argue that perceived value, not product change, drives willingness to pay.
For an agency whose clients sit in crowded categories, that is a natural second act.
The writing is consistent and easy to adapt: a blunt opening line, short paragraphs, numbered lessons or bullet checks, and a closing question.
That structure converts cleanly into a co-authored LinkedIn piece, a short explainer series or a workshop segment with a worksheet.
Three limits should shape the deal.
The measurable audience is a LinkedIn following of 4,906 accounts observed on 9 October 2026—a professional niche rather than a distribution engine.
The posts show no client results or measured before-and-after for the AI-search argument; ask for a relevant case study and supporting data before presenting it as proven.
No formats, rates, deliverables or inquiry route are published, so ask for a proposed package and pricing.
The collaboration's basis is subject-matter voice and content quality, not proven audience delivery.
When to choose a specialist
Poor fit: a consumer brand wants a paid-social launch push in India, judged on reach and direct sales against a media plan.
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Prince Kumar's posts do not support a campaign aimed at reach and direct sales.
The only measured audience figure is 4,906 LinkedIn followers observed on 9 October 2026, with no breakdown by job title, company size, seniority or geography, so reach and conversion forecasting have little to stand on.
The posts publish no sponsorship formats, rates, deliverables or terms, and do not establish whether they accept paid partnerships.
Ask for a media kit and confirmation of availability before considering a package.
The content also sits away from a performance campaign.
The posts offer commentary and interpretation of publicly reported events rather than original reporting.
The Diet Coke post claims people kept buying at the higher price but shows no sales data.
The Titan Watches post cites the Tamil Nadu government's original 28% stake as now worth around 84,000 crore rupees, without a source or date.
The KitKat post summarises a sequence of events without linking to coverage.
The India branding post attributes its central observation to Anupam Mittal on the Think School podcast, making it a relayed argument rather than Prince Kumar's own finding.
A creative-led or video-first campaign is also hard to assess: only post text was available, with no images, carousels, video or transcripts.
Ask for visual samples and on-camera work before assigning that kind of brief.
For a consumer brand that needs verified reach and measured sales impact, this is a weak starting point; a different creator or a paid-media route would be the better first move.
A worked campaign example
Worked angle for an agency's campaign aimed at improving answer-engine visibility: a short co-produced series.
Use the framework in the AEO post as the campaign spine: question, AI answer, brand recommendation, citation.
The agency can pair that argument with its own client-side measurement.
The posts show no worked before-and-after, so the agency can supply one.
Stage one is a flagship piece for the agency's LinkedIn audience: a short argument that a brand no longer needs to be the first result; it needs to be part of the answer, followed by checks a marketing lead can run this week.
The checks come directly from the posts: which questions buyers actually ask, which brands AI tools name in those answers, which sites get cited, and whether Reddit or review sites are shaping the reply.
Stage two is a follow-up applying the audit to one real client category and showing what changed after the fixes—the evidence the framework currently lacks.
Stage three is a live or recorded Q&A for client prospects, with three or four written questions prepared in advance and a simple worksheet for the audience.
A reasonable split of work: Prince Kumar writes the argument and leads the discussion; the agency supplies category data, results and distribution.
Before committing, ask for engagement rates on the two SEO and AEO posts compared with the brand case-study posts, to see which content type reaches the agency's buyers.
If the case-study posts outperform, rebuild the series around a Titan-style narrative using a client story instead of an audit.
Choose Daksh for the same agency collaboration if the priority is practical SEO teaching: prompt examples, tool walkthroughs, or beginner-friendly resources.
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Their posts offer a set of SEO prompts and a guide to free Google tools, giving an editor concrete material for a how-to session or resource. That's more immediately instructional than Prince Kumar’s question-to-answer-to-citation framework.
The examples focus on conventional SEO tasks and tools, not the AI-search visibility and brand-reputation argument at the center of the campaign. Daksh's posts don't explain how they approach AEO or brand strategy, so the agency should establish that fit before commissioning the collaboration.
Choose Yash if the agency wants a broader strategy conversation about how trust and existing business assets shape competition.
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One post frames safety as a growing reason consumers choose ride services; another explains how IndianOil could use its retail network to sell beyond fuel. Those examples could support a discussion of customer trust or distribution strategy alongside an AI-era search campaign.
Yash's posts don't address SEO, AEO, or AI citations directly. Compared with Prince Kumar, Yash’s examples offer a wider business-strategy lens but less direct material for a search-focused guest expert collaboration.
Choose Abhishek if the agency wants a business-storytelling angle about how companies create categories, test demand, and build a brand.
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The Gits post describes testing a product before investing in manufacturing and distinguishes creating a category from owning it; the Ramraj post connects a founder’s experience to a product and advertising strategy. Those stories could make a useful case-study format for agency clients.
The examples are company narratives, not guidance on AI-era search or brand visibility in answer engines. They provide less direct support for the stated need for SEO, AEO, and brand strategy than Prince Kumar’s posts.
Two cover AI-era search and answer-engine visibility; three cover brand and consumer-psychology commentary, on India's under-branding, Diet Coke's return to the Indian market and KitKat's response to a theft; one is a longer case study of Titan Watches.
The account has 4,906 followers as of 9 October 2026.
The posts do not state individual post dates, and contain no images, carousels, video, transcripts, engagement figures or commercial terms, so nothing on this page rests on measured campaign performance.
The similar-creator section names comparator creators.
Prince Kumar's LinkedIn posts do not establish career details, books or other signature work beyond LinkedIn.
