Attention Jobseekers.. 🚨 Are you applying to any random job posting just because it says “hiring”? Stop applying to every job posting you see. Not every opportunity is the right one for you. Sending your CV everywhere without a plan only leads to rejections and frustration. A candidate I recently spoke on LinkedIn, was super excited when a company reached out after she applied on a job portal. They conducted two rounds of interviews, praised her skills, and verbally confirmed the offer. She even stopped attending other interviews because she believed she got a job already. But what happened next? • They kept delaying the offer letter week after week • Later, they stopped responding to her emails and calls • When she checked online, she realized the company had no website, no LinkedIn page, no real office • It was all a scam to collect candidate data and waste time Priya lost two months and several genuine opportunities because she didn’t research the company beforehand. Before you apply anywhere, do this : 1️⃣ Search the company on LinkedIn & Google – No presence? Big red flag 🚩 2️⃣ Check company profile – Real people or ghost accounts? 3️⃣ Look for official domain emails – Gmail IDs for “HR” can be suspicious 4️⃣ Ask for the written offer letter before making any career decision 5️⃣ An email with company letterhead or a PDF offer letter is a must Apply for opportunities wisely. Let me know if you’ve faced such issues while applying for jobs! #jobs #hiring #freshers #company
Digital Recruitment Trends
Explore top LinkedIn content from expert professionals.
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My last couple of posts have been heavy on this theme: The website isn’t the marketing hub anymore. AI is rewriting the rules. Now, I've gotten some pushback, and I get it. This idea is still cutting-edge in many industries and will be for a while—think the local remodeling contractor, who will remain dependent on Google map packs for some time, but . . . Shout out to John Andrews and Sam Harding for this idea to help make this point. Remember the Browser Wars of the ’90s? That battle wasn’t about browsers; it was about who controls distribution. The winner decided how users experienced the web. Sound familiar? We’re back in a similar fight. But this time, it’s not about browsers or websites. It’s about AI. And the harsh truth? Your website is no longer the center of your marketing universe. It’s just another client in an AI-driven ecosystem. If you're still building everything around your website, you’re missing where the customer journey actually starts today. AI is the new gatekeeper. Large language models are the new homepage. What to do: ~ Structure your content for clarity: headers, bullets, short paragraphs. ~ Feed your own materials into tools like ChatGPT custom GPTs. ~ Submit links to AI-friendly aggregators like Perplexity or Bing. Prompt-ready content is the new SEO. Search engines indexed keywords. AI indexes answers. You’re not writing for spiders anymore, you’re writing for synthetic assistants. What to do: ~ Write in question/answer format. ~ Use schema markup and structured data to help AI extract the right info. ~ Test your content through ChatGPT—does it summarize your message well? AI-native collateral is the new lead magnet. PDFs and landing pages are fine, but imagine giving your audience a branded GPT or app that solves their exact problem. What to do: ~ Create AI-guided chat tools (ManyChat, Intercom, GPT bots). ~ Turn key insights into prompt libraries for your audience. ~ Train a micro-assistant that delivers value in your voice and framework. The ecosystem is greater than the standalone domain. Your website is part of the story, not the whole book. You need to meet your audience inside other platforms, other feeds, other tools. What to do: ~ Cross-publish with intent: blogs become emails, videos, Shorts, GPT inputs. ~ Format content for syndication: highlights, quote blocks, stat cards. ~ Embed value inside tools—calculators, diagnostics, AI-guided quizzes. ~ Ask better questions: Can this be summarized by AI in under 60 words? Would AI recommend this if asked? Are we surfacing this in multiple ecosystems? Is this referenceable—not just linkable? We’re not in a web-first world anymore. We’re in an AI-first marketing environment. The tools have changed, but the principle hasn’t: Be where your customers are, and make it ridiculously easy for them to know, like, and trust you. Don’t just optimize your website. Optimize your ecosystem.
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Running a talent management company representing some of the top celebrities and influencers digitally, I’ve never believed in bucketing creators into a one-size-fits-all narrative. And I think a lot of talent management companies do exactly that. We currently represent 300+ talent across lifestyle, fashion, beauty, travel, sports, entertainment, comedy, music, family, gaming, and more. But the goal has never been to say: “𝘚𝘩𝘦’𝘴 𝘢 𝘣𝘦𝘢𝘶𝘵𝘺 𝘤𝘳𝘦𝘢𝘵𝘰𝘳.” “𝘏𝘦’𝘴 𝘢 𝘴𝘱𝘰𝘳𝘵𝘴 𝘤𝘳𝘦𝘢𝘵𝘰𝘳.” “𝘛𝘩𝘦𝘺’𝘳𝘦 𝘢 𝘵𝘳𝘢𝘷𝘦𝘭 𝘤𝘳𝘦𝘢𝘵𝘰𝘳.” It does not define their media business and who they want to be 5 years down the line. Our goal is to help talent become businesses themselves, not keep them boxed into a creator label that limits how brands, platforms, partners, and audiences see them. Because when every creator in a category is positioned the same way, with the same content format, the same brand list, and the same pitch language, nothing actually differentiates them. The creators who win long-term are not just the ones who “fit a niche.” They are the ones who own a point of view. 𝐓𝐡𝐫𝐞𝐞 𝐭𝐡𝐢𝐧𝐠𝐬 𝐜𝐫𝐞𝐚𝐭𝐨𝐫𝐬 𝐚𝐧𝐝 𝐦𝐚𝐫𝐤𝐞𝐭𝐞𝐫𝐬 𝐜𝐚𝐧 𝐝𝐨 𝐭𝐨 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭𝐢𝐚𝐭𝐞 𝐭𝐡𝐞𝐦𝐬𝐞𝐥𝐯𝐞𝐬: 1️⃣ 𝐁𝐮𝐢𝐥𝐝 𝐚𝐫𝐨𝐮𝐧𝐝 𝐚 𝐰𝐨𝐫𝐥𝐝𝐯𝐢𝐞𝐰, 𝐧𝐨𝐭 𝐣𝐮𝐬𝐭 𝐚 𝐜𝐚𝐭𝐞𝐠𝐨𝐫𝐲: Your niche tells people what you post about, but your worldview tells people why they should care, what you stand for, and why your audience keeps coming back beyond a single content format. 2️⃣ 𝐓𝐫𝐞𝐚𝐭 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐬 𝐭𝐡𝐞 𝐞𝐧𝐭𝐫𝐲 𝐩𝐨𝐢𝐧𝐭, 𝐧𝐨𝐭 𝐭𝐡𝐞 𝐞𝐧𝐭𝐢𝐫𝐞 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬: Content is often the first layer of the relationship, but the real opportunity is turning attention into long-term leverage through partnerships, products, IP, community, live experiences, and owned business lines. 3️⃣ 𝐒𝐭𝐨𝐩 𝐩𝐢𝐭𝐜𝐡𝐢𝐧𝐠 𝐜𝐫𝐞𝐚𝐭𝐨𝐫𝐬 𝐚𝐬 𝐢𝐧𝐭𝐞𝐫𝐜𝐡𝐚𝐧𝐠𝐞𝐚𝐛𝐥𝐞 𝐦𝐞𝐝𝐢𝐚 𝐢𝐧𝐯𝐞𝐧𝐭𝐨𝐫𝐲: The best creator partnerships happen when talent is treated as strategic partners with trust, context, creative instincts, and cultural relevance, not just another distribution channel attached to a follower count. Talent management companies that are succeeding right now are ones helping creators build durable businesses around who they are, what they believe, and the unique value they bring to culture.
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403,000 creators on the roster for this Influencer campaign... 🤯 This Korean beauty brand quietly built one of the most effective influencer engines in the world. In 2024, they pulled in $350M profit with 71.7% YoY growth. Here’s how they did it: Their pricing is unbeatable. Quality is strong. Free delivery in the US + Europe. The product → solves itself. But the real growth lever? Influencer distribution at a scale almost no one talks about. When we started digging, we found hundreds of creators promoting them. Then it became thousands. Then more. In total, we identified 403,000 creators inside their influencer program — all posting across Instagram, TikTok, and YouTube. One of our team members (80K+ IG followers) even got free products from them. They are everywhere. Here’s the crazy part: Instagram alone brought them $73M in referral revenue last year. That’s 27.6% of their total revenue… from one channel. The content isn’t flashy. It’s not viral. It’s not meant to be. PR hauls. K-beauty reviews. Routine videos. Aesthetic product shots. Simple, predictable UGC. But when 403,000 creators post versions of the same thing every day… the internet gets saturated fast. This is the real engine: Their referral program turns small creators into a growth army. Tier 1 — Rising Star • 10% commission • No free products • Must have 500+ followers • Most people quit here — which makes the next tiers even more valuable Tier 2 — Star • Unlock at $300 referred sales • Monthly sponsored products • Priority access • Earnings for inviting other creators → This is where the flywheel begins Tier 3 — Superstar • Unlock at $5,000 referred sales • 11% commission • Double earnings with Rewards Links • $200–300 product bundles • VIP campaigns + manager • Annual gifts → Top creators stay loyal because the economics get better over time Here’s the twist: Creators earn the same amount the follower saves. If a customer saves $10, the creator earns $10. New customers → commission up to 11% Returning customers → 2–5% It’s aggressive. It’s simple. It’s addictive. Most creators end up with “YesStyle” in their bio and keep it there because it’s the easiest passive income they get. And no — their videos don’t go viral. They don’t need virality. They have scale. A single video getting 1,000 views doesn’t matter. A hundred thousand videos getting 1,000 views each is a different story. Add link-in-bio traffic + referral sharing + constant UGC visibility… And you get $73M in Instagram-driven revenue. If you want a full-breakdown comment "KOREAN" and I will send it to you. PS: must be following :)
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Honestly if I see another generic old JD disguised as an advert 🤯...I figure if you're going to go to the effort (and spend the money) for advertising roles, then you should do a good job of it! ❌ Stop Copying and Pasting Job Descriptions Urgggh, another laundry list responsibilities that read like the terms and conditions on a website. Or worse, very little information on what you're looking for. No-one wants gets excited reading through 15 bullet points. ✔️ Instead of saying, "You’ll be responsible for managing social media accounts," say, "You’ll play a critical role in shaping the online voice of a brand that reaches millions." Which sounds more appealing? ➡️ You're Selling a Role, Not Just Offering a Job Think of your job posting like a marketing campaign. You’re selling a career opportunity, not just a position to fill. What’s exciting about the job? Why should someone leave their current role to join your team? Highlight the things that matter to real candidates—career growth, innovation, challenges, and culture. Candidates want to know: - What’s in it for them? - How will their work be valued? - What’s your company’s culture like? ✔️Focus on what makes your company and the role unique. Avoid vague statements like "competitive salary" or "great benefits." Be specific—do you offer remote work, flexible hours, or development programs? Are you working on industry-shifting projects? Sell it! ⁉️Are You Offering What People Actually Want? 💲It’s 2024, and people want to know what they’re getting into. If you’re hiding behind ‘salary negotiable’ or refusing to disclose a range, you’re probably losing out on the best people. Be upfront—if you value talent, show it with the offer. 🤸Flexibility and Work-Life Balance: Remote work? Hybrid options? These are no longer ‘nice-to-haves’—they’re often deal-breakers. If you’re stuck on requiring people to be in the office five days a week, you’re narrowing your candidate pool dramatically. Be clear about how you accommodate people’s lives outside of work. 🌷Growth Opportunities: Talented professionals want roles where they can grow, not stagnate. Are you providing opportunities for mentorship, upskilling, or leadership development? Be vocal about these options in your job postings. No one wants to jump ship for ‘just another job.’ They want a challenge, a growth opportunity, and a place where they can make a real impact. Are you offering that? The first person that DM's me their job advert that needs some love, gets it done for free. Go.
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Sending 200 applications isn't the red flag. Needing 200 applications is. After helping 50,000+ candidates get placed, I've noticed something interesting: The candidates getting interview calls aren't necessarily applying more. They're usually finding opportunities earlier. A role posted today can become saturated within days, yet hiring lists continue circulating for weeks because almost nobody verifies them before sharing. That's why I tell my students to stop chasing lists and start building a simple job-search intelligence system. Here's the exact framework I recommend: 👉🏻 Use "Past 24 Hours" and "Past Week" filters religiously. A role posted yesterday with 30 applicants is often worth far more than a role posted three weeks ago with 500 applicants. 👉🏻 Use AI to identify who's actually hiring. Instead of manually searching company after company, ask ChatGPT, Claude or Perplexity: "Which Indian GCCs, product companies, and startups have announced hiring, expansion, new offices, funding rounds, or capability centre growth in the last 90 days?" This instantly gives you a shortlist of companies showing real hiring momentum. 👉🏻 Follow recruiters, not just company pages. Most candidates follow company pages. Very few follow Talent Acquisition Managers, Recruiters, Campus Hiring Leads, and Engineering Managers. Those are often the people announcing openings before they become crowded. 👉🏻 Watch who is joining the company. Open LinkedIn's People tab and look at recent joins. If dozens of professionals have joined a team over the last few months, chances are hiring is still active. Most candidates never check this. The best candidates do. 👉🏻 Stop manually checking every job description. Use tools like Teal or Jobscan to compare your resume against job requirements and identify missing keywords before applying. 👉🏻 Track off-campus drives beyond traditional job boards. Many hiring drives are announced through Superset, Unstop, HirePro, HackerEarth, and company career portals long before they gain visibility on major job sites. Candidates who rely only on Naukri and LinkedIn often see opportunities after everyone else. 👉🏻 Create a Monday hiring routine. Every Monday morning: ✓ Check your target company career pages ✓ Review recruiter posts ✓ Ask AI tools to surface new hiring announcements ✓ Apply only to roles posted recently This takes less than 30 minutes and is often more effective than spending hours scrolling job portals every day. What's one company you're actively tracking right now? Tell me below 👇 #jobsearchindia #careergrowth #jobsearchtips #hiringnow #interviewtips
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A lot of clients have been asking lately: So, what now? Are we throwing out the old SEO playbook? Are content calendars dead? Do we stop writing blogs, guides, webinars? Short answer: no. Longer answer: the core principles of SEO haven’t changed. What’s changed is the layer on top. You now need to add the AI search dimension, not replace your strategy, but revise it to reflect the way visibility works in 2025. Yes, formats are shifting. Yes, URL-level optimization is no longer the sole game and it’s now about the paragraph, the citation, the chunk. But if you’ve been doing proper SEO and content strategy, you’re already 80% of the way there. Your ICP still has pain points. They still search. They still read. The content still matters but now it has to work across platforms and intent types. It needs to be linkable and quotable by LLMs. That’s the new layer. What’s also clear: Google remains the centerpiece. Even as AI results evolve, most LLMs are still using Google's SERP as the training data backbone. AI tools reference it, learn from it, and summarize it. The interface may be different, but Google powers most of the game behind the scenes. That’s where the new Google Trends API gets interesting. One of the big gaps currently is who owns the demand metrics. What are people prompting? What are they searching for? Google’s not releasing AIO data (at least not here), and LLM prompts are black boxes. But if Google Trends becomes the adopted source of truth for what people care about, even at a topic level, we’re back to Google not just shaping the answers, but defining the questions. In short: • Keep your strategy. • Reframe it through the AI lens. • Adjust your format. • Keep optimizing, technically and editorially. • Use Google as both a target and a proxy. SEO is still SEO. The tools, formatting, and intent parsing are evolving, but the core? Same as it ever was.
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Most people think talent management is about emails, intros and brand deals. It is not. The real job is judgment. It is knowing when to push, when to hold, when to protect a creator from a short-term cheque and when to back something that could change the shape of their career. It is understanding that a campaign is never just a campaign. It is reputation. Positioning. Leverage. Timing. Future pricing power. A good manager does not just bring opportunities in. They help talent make better decisions once those opportunities arrive. That means reading the room properly. It means spotting the difference between visibility and value. It means asking harder questions: - Will this move the needle? - Will this confuse the market? - Will this box the talent in? - Will this strengthen their long-term story? The admin matters. The logistics matter. But the real value is in the thinking. The best talent management is not reactive. It is strategic. It is commercial. It is protective. It is long-term. That is the work people rarely see. And honestly, that is where the real job begins.
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Most teams say they’re “optimizing for AI search.” But ask them which prompts they want to show up for… and suddenly the room gets very, very quiet. If you want LLM SEO to work, you need to know your target prompts the same way you know your target keywords. And no, this isn’t guesswork. This is research + pattern recognition + strategic mapping. Here’s how to start (without drowning in screenshots or 200 tabs): 1. Identify the REAL prompts your buyers use Not SEO queries. Not broad topics. Not internal assumptions. Actual prompts. The ones your ICP types into ChatGPT, Gemini, Perplexity, Claude when they want answers. The rule? Think conversational, not “keyword-y.” Examples: → “Best CRM for agencies that integrates with Slack?” → “How do I fix churn for usage-based SaaS?” → “What should my first marketing hire be?” → “Explain GDPR compliance for B2B SaaS like I’m new.” If your content doesn’t answer these conversational prompts directly, LLMs will never surface you. 2. Reverse-engineer prompt families Each prompt has a cluster behind it: → Problem prompt (“how do I…”) → Comparison prompt (“best tools for…”) → Evaluation prompt (“is X worth it?”) → Instruction prompt (“create a plan for…”) Map these to your ICP’s journey. That’s where your angles come from. 3. Check who LLMs currently cite This part? A goldmine. LLMs pull from: → Authoritative pages → Heavily cited domains → Structured, clear content → Entities they already “trust” If your competitors dominate these prompts, it’s not because they’re smarter, it’s because they’ve fed the LLMs better data. 4. Build content specifically answering the prompt You’re no longer writing for keyword volume. You’re writing for prompt relevance. That means: → Direct answers → Clear steps → Strong entity alignment → Examples → Structured sections → Source credibility LLMs love clarity more than anything. 5. Track your prompt visibility Here’s where most teams get stuck - you can’t improve what you can’t see. This is why I like Semrush's new AI search tracking: You can literally see: → Which prompts you’re showing up for → Which competitor prompts you’re losing → What content themes LLMs associate with each brand → Which AI platforms (ChatGPT, Perplexity, Gemini) you’re winning or failing on It’s basically the keyword gap analysis of the AI era, but for prompts. And honestly? It removes the guesswork we’ve all been suffering through. If you want to win LLM SEO, stop chasing keywords. Start identifying and owning the prompts your buyers trust AI with. Need help? Drop me a message ✉️ #aiseo #llmseo #seostrategy #SemrushAmbassador
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Dropbox went from 0 to 4M users in 15 months with a referral program so good, it's still taught in business schools today. The magic formula? Ridiculously simple: "Give 500MB free storage to a friend. Get 500MB free for yourself." That's it. That's the program that helped build a $10B company. 3 lessons every business should steal: ① Double-sided incentives crush one-sided rewards Most companies only reward the referrer. Dropbox made BOTH sides win. When everyone gets value, sharing doesn't feel like selling. ② The incentive matched the product perfectly In 2008, storage was expensive. Getting more free space solved a real user problem. Not generic discounts. Not cash. The exact thing users already valued. ③ The referral was built INTO the product No clunky codes. No separate platforms. Sharing was seamlessly integrated into the normal user flow, making it feel natural not forced. The results? Staggering. ‣ Signups increased by 60% PERMANENTLY ‣ 35% of daily signups came through referrals ‣ Some power users referred 20+ friends Drew Houston (founder) didn't see referrals as a "nice to have" marketing tactic. He made it a core growth strategy from day one. The question isn't whether your business needs a referral program. It's why your current one isn't performing like Dropbox's. What's one element from this legendary program you could implement this quarter?