Challenges of Content Discovery in Digital Marketing

Wrapping up my series about #algorithms and original thought. DAY 3 X 3: WHAT ARE THE OPPORTUNITIES AHEAD? The list of companies using algorithms to show consumers more of what they already know they will like is extensive. YET those prioritizing cognitive liberty are rare; in research for this article, I came across scant articles devoted to this topic. One standout includes content-summarizer Blinkist. In the podcast “The Art of Curation,” their Director of Content Discovery explains how expert human curation adds to the bottom line, by creating moments of “aha” for consumers that cannot be delivered by machine learning alone. ADDITIONALLY, a few other platforms are pointing the way, aiming to diversify their content:  >> Curated newsletters like The Browser, whose team sifts thousands of articles daily and sends five recommended stories for the day “so you’ll always have interesting things to ponder and fascinating ideas to discuss at dinner.” >> DuckDuckGo, a browser and search engine that does not track online activity, meaning that new searches will not be filtered and tailored based on previous search history. One way to end the filter bubble feedback loop and gain new points of view. >> LongReads platform curates content based on editors’ selections alone, providing a space to discover well-written articles outside of what your algorithms might serve you. >> SHORT TERM, I see an opportunity for retail brands to incorporate features like these into their digital offerings to create those epiphany moments via: 1) HUMAN-LED CURATION: Employing subject matter experts to assemble and showcase unexpected finds and discoveries. 2) CHRONOLOGICAL SORTING: Allowing shoppers to sort digital content in time order instead of algorithmically. This can be particularly useful for platforms that curate content feeds, ensuring that customers see broader content beyond what expressly aligns with their last view. 3) USER-GENERATED RECOS: Enabling customers to receive recommendations based on other users' input. This lets them enjoy the collective wisdom of the community, leaving room for unexpected content along the way. 4) GOING ALGORITHM FREE: Creating sections within your brand’s ecosystem that are clearly labeled as algorithm free. Customers can explore products/ content without any algorithmic influence, leaving cognitive liberty room to flourish. THE BOTTOM LINE? In an era saturated with algorithmic interventions, prioritizing cognitive liberty is essential for every retail leader. Scientist Thomas Kuhn's words resonate: "Discovery commences with anomaly." How will we get to the anomalies if we are all using the same bodies of language and perusing content eerily like what is being generated by our competitors? It's a defining question for the AI age, one we can only answer by navigating the uncharted waters of original thought. Thanks for reading. For more content follow #Ramalytics or visit my Ramalytics Blog #leadership

"SEO is dead." "Content doesn't work anymore." "AI is killing organic traffic." Meanwhile, smart companies are getting cited by ChatGPT 10x more than their competitors. The reality? Your 2,000-word SEO masterpiece is invisible to LLMs that want chunked, structured answers…not content marathons. Here's what we're seeing work at uSERP for LLM optimization: ❌ What's failing: Broad keyword targeting and wall-of-text content  ✅ What's winning: Specific buyer intent queries with structured answers The 4-step playbook: → Target LLM-surfaced queries — "Best [X] tools," comparison prompts, and "how to" queries that actually trigger AI responses. We skip broad keywords entirely. → Lead with context-rich answers — First 150 words must include a clear topic ID and direct answers. LLMs need disambiguation to avoid brand confusion. → Build LLM-visible authority — Reddit, Quora, industry forums. One of our e-commerce clients saw 180% more Perplexity citations after just 7 strategic Quora placements. This is where content marketing is heading in 2025. Not more content, but better structured content that AIs can actually understand and cite. How are you optimizing for LLM discovery? 

𝐓𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐒𝐄𝐎: 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐢𝐧𝐠 𝐟𝐨𝐫 𝐀𝐈-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲 With 70% of marketers expecting AI-driven search to reshape SEO in 2025, it’s clear that the future of content discovery is here-and it’s powered by artificial intelligence. The latest infographic from Social Media Today breaks down what you need to do to stay ahead. 𝐊𝐞𝐲 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 & 𝐀𝐜𝐭𝐢𝐨𝐧𝐚𝐛𝐥𝐞 𝐒𝐭𝐞𝐩𝐬 🔹𝐀𝐈 𝐢𝐬 𝐑𝐞𝐬𝐡𝐚𝐩𝐢𝐧𝐠 𝐇𝐨𝐰 𝐖𝐞 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫 𝐂𝐨𝐧𝐭𝐞𝐧𝐭 ▪65% of users now rely on AI-powered tools (like ChatGPT and Google’s Gemini) for information searches. ▪𝐀𝐜𝐭𝐢𝐨𝐧:    👉 Optimize for natural language and conversational queries to match how users interact with AI. 🔹𝐒𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞𝐝 𝐃𝐚𝐭𝐚 = 𝐁𝐞𝐭𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐲 ▪Pages with schema markup are 25% more likely to appear in AI-driven results. ▪𝐀𝐜𝐭𝐢𝐨𝐧:   👉 Implement schema markup to help AI and search engines understand your content context.   👉 Use FAQ, How-To, and Product schema where relevant. 🔹𝐕𝐢𝐬𝐮𝐚𝐥 𝐂𝐨𝐧𝐭𝐞𝐧𝐭 𝐃𝐫𝐢𝐯𝐞𝐬 𝐄𝐧𝐠𝐚𝐠𝐞𝐦𝐞𝐧𝐭 ▪Infographics and images can increase click-through rates by up to 30%. ▪𝐀𝐜𝐭𝐢𝐨𝐧:   👉 Incorporate high-quality visuals, charts, and infographics to make your content more engaging and shareable.   👉 Use descriptive alt text to ensure visuals are accessible and indexable. 🔹𝐂𝐨𝐦𝐩𝐫𝐞𝐡𝐞𝐧𝐬𝐢𝐯𝐞, 𝐔𝐬𝐞𝐫-𝐅𝐨𝐜𝐮𝐬𝐞𝐝 𝐂𝐨𝐧𝐭𝐞𝐧𝐭 𝐖𝐢𝐧𝐬 ▪Content that thoroughly answers user questions is favored by both AI and traditional search engines. ▪𝐀𝐜𝐭𝐢𝐨𝐧:   👉 Create in-depth articles that address multiple facets of a topic.   👉 Use clear headings, bullet points, and concise answers to improve scannability. 🔹𝐒𝐭𝐚𝐲 𝐀𝐠𝐢𝐥𝐞 𝐚𝐧𝐝 𝐌𝐨𝐧𝐢𝐭𝐨𝐫 𝐓𝐫𝐞𝐧𝐝𝐬 ▪The SEO landscape is evolving rapidly with AI advancements. ▪𝐀𝐜𝐭𝐢𝐨𝐧:   👉 Regularly review analytics and adapt your strategy to new user behaviors and algorithm updates.   👉 Invest in AI-powered SEO tools for smarter keyword research and content optimization. AI discovery is the new frontier for SEO. By embracing these best practices, you can ensure your content remains visible, relevant, and valuable in an AI-driven world. 𝐒𝐨𝐮𝐫𝐜𝐞: https://lnkd.in/giBwt63V #AI #DigitalTransformation #GenerativeAI #GenAI #Innovation  #ArtificialIntelligence #ML #ThoughtLeadership #NiteshRastogiInsights  ---------------------------------------------------------------------- • Please 𝐋𝐢𝐤𝐞, 𝐒𝐡𝐚𝐫𝐞, 𝐂𝐨𝐦𝐦𝐞𝐧𝐭, 𝐒𝐚𝐯𝐞, 𝐅𝐨𝐥𝐥𝐨𝐰 https://lnkd.in/gcy76JgE

We’re stepping into a new kind of search experience, one that’s not fully defined yet. So the question becomes: how do you optimize for something when you don’t even fully understand how it works? What’s evolving right now isn’t just the tech, it’s 𝘩𝘰𝘸 we adapt to it. Honestly, I’m skeptical of anyone who sounds overly confident right now. If someone’s trying to sell you a playbook for “how to rank in ChatGPT, Gemini, or Perplexity,” be cautious. No one has all the answers yet and anyone who says they do is probably trying to sell you something. That said, there 𝘢𝘳𝘦 early signals. And one of the clearest starting points is this: before jumping into optimization tactics, stop and ask yourself, 𝘩𝘰𝘸 𝘪𝘴 𝘮𝘺 𝘰𝘸𝘯 𝘴𝘦𝘢𝘳𝘤𝘩 𝘣𝘦𝘩𝘢𝘷𝘪𝘰𝘳 𝘤𝘩𝘢𝘯𝘨𝘪𝘯𝘨? For example, if you used to search for restaurants on Google Maps, read local reviews, check out travel blogs, you might now just ask ChatGPT or another assistant to plan the entire thing for you. That’s a massive shift. You’re no longer seeing ten blue links. You’re not even giving websites the chance to be discovered in the same way. So if the discovery journey is different, content strategy 𝘩𝘢𝘴 to be different too. We’re not just optimizing for rankings anymore, we’re optimizing for 𝘳𝘦𝘱𝘳𝘦𝘴𝘦𝘯𝘵𝘢𝘵𝘪𝘰𝘯 𝘪𝘯 𝘤𝘰𝘯𝘷𝘦𝘳𝘴𝘢𝘵𝘪𝘰𝘯𝘴. That’s the landscape we’re entering. No map, no clear route, but the terrain is taking shape.