
Stay ahead of the curve with today’s DAMOUSLY edition – bringing you fresh e-commerce trends, AI breakthroughs, and practical growth tips for 2025.
🌟 Today’s Highlights:
Cookieless Marketing in 2025: Strategies and Tools for a Privacy-First World.
How Often Should You Post on TikTok? Data From 11 Million+ Posts.
36 Predictions for Social Media Marketing in 2026.
💡 Today’s Insight: “What Is LLMO? How Brands Can Get Noticed by ChatGPT, Gemini & Other AI Systems”
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⚡️ Today’s Headlines ⚡️
-Cookieless marketing is a shift in digital advertising where businesses no longer rely on third-party cookies to track users. Instead, they focus on first-party and zero-party data (information users willingly provide), contextual targeting, and privacy-preserving technologies. This approach ensures personalization and compliance with privacy laws while maintaining effective customer engagement.
-As 2025 draws to a close, the pace of change in social media marketing demands that brands begin shaping their 2026 strategies now. Technologies such as AI, mixed reality, and evolving platform dynamics are pushing marketers to rethink how they engage audiences. To help navigate this shifting terrain, the article presents 36 predictions for how social media marketing will evolve across major platforms in the year ahead.
As social media platforms and algorithms evolve, figuring out how often to post on TikTok becomes more critical—and complex. In “How Often Should You Post on TikTok? Data From 11 Million+ Posts,” Buffer analyzes over 11 million TikTok posts from 150,000+ accounts to identify the posting frequency sweet spot: increasing from one post per week to 2–5 per week yields the biggest boost, though posting more can increase chances of a viral hit.
💡 Today’s Insight 💡
Introduction
As AI-driven search becomes mainstream, the rules of the game are changing. This month, we dig into LLMO (Large Language Model Optimization) — a new frontier in content strategy that aims to get your brand mentioned (not just ranked) in AI-generated responses. Through LLMO, you build visibility directly inside the conversations people have with AI systems.
Why LLMO Matters
Organic click-throughs are slipping. Since the launch of AI Overviews (circa May 2024), many websites are seeing declines in traditional search traffic.
But AI-driven mentions are on the rise. Traffic from LLM systems is not only growing — it also tends to convert better. In fact, AI-referred visitors convert at 4.4× the rate of traditional organic visitors.
By 2027, AI-powered search channels are forecasted to deliver as much business value as conventional search engines.
In short: optimizing for AI visibility is no longer optional — it’s essential.
Strategy Acronym | Focus | Goal | Primary Platforms |
---|---|---|---|
SEO | Traditional search rankings | Drive organic traffic | Google, Bing |
AEO (Answer Engine Optimization) | AI summaries & snippets | Surface your content in AI Overviews | Google AI & SERP summaries |
GEO (Generative Engine Optimization) | AI-generated answers | Get cited across AI-powered platforms | Bing Chat, Google AI Mode, Perplexity |
LLMO | Conversational LLMs | Earn brand mentions & recommendations | ChatGPT, Gemini, Claude, etc. |
LLMO differs in that it doesn’t focus on ranking pages — it aims to insert your brand into the AI responses people read directly.
The 5 Pillars of LLMO
To optimize for LLMs, the article outlines five key pillars. Here’s a summary with actionable tips:
Information Gain
Provide unique, original value that the AI hasn’t seen elsewhere. Use distinct analysis, case studies, frameworks, or data.Entity Optimization
Help AI systems understand who you are — your brand, products, expertise. Use structured schema markup (Organization, Product, Author, etc.), and strengthen your presence in trusted entity databases like Wikipedia, Wikidata, or industry directories.Structured & Semantic Content
Make your content easy for LLMs to parse: logical headings, lists, tables, FAQs embedded in relevant sections (not just at the bottom). Well-structured content is more likely to be cited.Clarity & Attribution
Write clear, concise text. Use proper citations, outbound links to trustworthy sources, quotes, and supporting data. AI systems favor content they can verify.Authoritativeness & Mentions
The more your brand is mentioned on high-authority sites (news outlets, industry publications, research papers), the more likely LLMs will see it as credible and include it in responses. Even unlinked mentions help.
Getting Started: A Practical Checklist
Use this as a roadmap to begin optimizing for LLMO:
Audit your brand’s presence in AI models (ask ChatGPT, Gemini, Perplexity about your brand).
Launch a digital PR / brand mention campaign targeting high-authority publications.
Deepen your content with unique insights, data, and case studies.
Adopt clear structure: headings, FAQs, tables, lists.
Ensure your brand shows up in entity sources and schema markup.
Monitor your mentions, sentiment, and share-of-voice across LLMs.
Focus on building topical authority in your domain of expertise.
Evaluate referral traffic and conversions from AI sources (use GA4 or other analytics).
Measuring Success
Because many AI mentions don’t include links, tracking LLM impact is not always straightforward. The article recommends five KPIs:
Mention frequency across AI platforms
Share of voice — your proportion of mentions compared to competitors
Sentiment and context — how you’re portrayed
AI referral traffic & conversion rates
Topical authority expansion — how broadly AI associates you across subjects
Final Word
The shift toward AI-powered search and conversational systems is accelerating. LLMO offers a way to stay visible — not just in search results, but in the very responses people read. The sooner you begin, the stronger your brand’s voice in the AI era.
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