LinkedIn Algorithm Best Practices

One of the most common topics I am asked about is the LinkedIn algorithm. LinkedIn doesn’t openly share how the algorithm works in its entirety but when you’re working across multiple client accounts, having regular conversations with peers, and staying close to platform trends, you start to spot what’s working (and what’s not). Here’s what I’m seeing right now if visibility and reach are part of your strategy. ➡️Prioritising Relevance Over Virality LinkedIn has an emphasise on relevant, professional content rather than chasing mass virality. In fact, LinkedIn’s editor-in-chief Dan Roth has stated the platform “is not designed for virality,” but instead for sharing useful knowledge and insights”. ➡️Your Network Connections Drive Visibility LinkedIn favors content from your own network meaning your connections and followers are far more likely to see your posts. The takeaway: the makeup and engagement of your network now directly impact your reach. ➡️Expertise Signals Expand Your Reach The feed algorithm doesn’t just assess what you posted it also looks at who is posting and whether you’re have domain expertise. If you consistently share content in your niche and have the professional background to back it up, the algorithm will distribute your posts more broadly. Conversely, if you post on a subject completely outside your known field, expect limited reach. ➡️ Commenting Beyond The Surface We know that the algorithm gives more weight to thoughtful, substantive comments than to quick reactions. But did you know that LinkedIn is evaluating who is commenting? If your post on marketing draws many comments from marketing professionals (i.e. people relevant to the topic), that’s a strong positive signal - if it's the same people without professional relevance it has the opposite effect. ➡️Quality of Engagement Over Quantity It’s not about getting lots of engagement; it’s about the right engagement. LinkedIn explicitly encourages creators to focus on reaching a targeted, relevant audience. The algorithm measures engagement quality being who is engaging. For example, a dozen comments from respected peers in your industry will boost your post more than a hundred random likes from outside your field. ➡️Low-Quality Content Gets Demoted LinkedIn’s algorithm actively filters out content deemed low-quality or spam, so certain tactics will hurt your reach. Similarly, tagging a bunch of people who aren’t relevant to the post or overstuffing your post with hashtags are red flags. Posts with poor formatting or error-ridden text can also be classified as “low quality.” 🔍 Key Takeaways The algorithm is always evolving but the core principle and advice remains the same: create content that’s useful, relevant, and credible to your audience. 💬 Curious to see how your content stacks up against these points? Or have you noticed shifts in your own reach lately? Let me know in the comments. #LinkedIn #Marketing #Content

How to Make Yourself More Discoverable on LinkedIn Most people try to grow on LinkedIn by posting more but that’s not actually how the platform works LinkedIn first needs to understand who you are and what topics you belong to. Only then can it distribute your posts to the right audience. Think of it less like social media and more like a topic graph. Here are a few things that I've found materially influence discoverability: 1/ Your headline teaches the algorithm! LinkedIn heavily weights the keywords in your headline. If your headline says something vague like “growth leader” or “marketing enthusiast,” the algorithm has very little to anchor on. If it says something like: AI marketing Product marketing Growth strategy LinkedIn can now index you to those topics. Your headline is effectively your primary topic signal, so choose it wisely! 2. Your profile needs topic consistency LinkedIn builds a semantic profile of you using: • headline • about section • skills • post topics If your profile says one thing but your posts talk about something completely different, the system struggles to categorize you. Creators who grow quickly tend to stay within clear topic clusters. 3. Skills matter more than people think LinkedIn uses the predefined skills section as part of search and recommendation. Your top three skills carry the most weight, so they should reflect how you want to be discovered. Think of them as structured keywords. 4. Early engagement still matters LinkedIn distributes posts in stages. Research by LinkedIn algorithm analyst Richard van der Blom found the platform tests posts with a small audience first before expanding reach if engagement is strong. Comments and dwell time matter more than likes. 5. Clear ideas beat clever posts In the long run the creators who grow the fastest do not necessarily post the most. They are the ones associated with a clear idea. For example: • product led growth • creator economy • AI marketing When people think of the topic, they think of the person. That is how the algorithm and the audience reinforce each other. Did I miss anything that you find is working well for you??

"Make yourself findable"...this is advice that I give to candidates, SES's, generals, executives, and even teenagers. Companies are dying to find you, but they just don't know that you exist. They hire Precision Talent Solutions to find you. Like it or not, LinkedIn is the place where professionals go to look for jobs, look for candidates, and to share/consume content. If you are in career transition, it is more important than ever to be thoughtfully active on LInkedIn. Valuable tips: LinkedIn Algorithm Updates (2025) - Relevance Over Virality: The algorithm now favors niche, expert content over viral posts. Generic or off-topic posts hurt visibility. - Connections First: Posts from your own network are prioritized. A targeted, engaged network boosts reach. - Expertise Signals: LinkedIn evaluates who is posting (based on profile) as much as what is posted. - Ranking Factors: Content is ranked by Relevance, Expertise, and Engagement (especially meaningful comments). - Comments Matter Most: Posts with thoughtful, back-and-forth conversation (especially in the first hour) get a major visibility boost. - Spam Filters: Poor grammar, link-stuffing, excessive hashtags, and overposting are penalized. - Engagement Quality > Quantity: Comments from relevant peers beat lots of random likes. - Extended Reach: High-value posts can reach beyond your 1st-degree network if they gain strong engagement. 2. Content Format Trends - Carousels Still Strong: Multi-image or PDF “carousel” posts perform well, but only if value-packed. - Video & Live Streams: Native videos (not links) and especially LinkedIn Live posts drive the highest engagement. - Image Posts: Still effective—posts with a single strong visual get more attention and comments. - Newsletters: Now a top tool for reach—subscribers are notified every time you publish. Best for long-form, high-value content. - Polls & Interactive Posts: Still underused but powerful for engagement and visibility. - Hashtags/Tagging: Use 2–5 relevant hashtags. Over-tagging or irrelevant tags = spammy. - External Links: Posts with links are penalized. Better to add links later via post edit or use native formats. 3. Engagement Best Practices - Provide Niche Value: Focus on helpful, profession-specific insights, not generic content. - Hook Early: Start posts with a bold statement or question to capture attention. Encourage Dialogue: Ask questions, respond to comments, and spark discussion to improve reach. - Use Rich Media: Mix in carousels, videos, and images to keep your content fresh and engaging. - Go Live or Use Newsletters: These formats offer built-in boost via notifications and dwell time. - Avoid Spam Tactics: Don’t tag excessively, overuse hashtags, or post too frequently. - Grow an Engaged Network: Engage with others to strengthen your own visibility in the algorithm. - Be Consistent & Authentic: Regular, high-quality posting builds credibility and audience trust over time.

👉 #LinkedIn is saturated with people selling “growth hacks.” The uncomfortable truth: no one actually understands the algorithm end-to-end. Most advice is recycled folklore, outdated tests, anecdotal wins, or short-lived spikes mistaken for strategy. Based on direct observation across thousands of posts in 2025–2026, the algorithm consistently rewards three things: relevance, demonstrated expertise, and genuine conversation within your professional graph. Not viral reach. Not theatrics. You don’t need to stand out to everyone. You need to stand out to the people who matter in your niche. LinkedIn evaluates your content primarily against your 1st- and 2nd-degree network, shared industries, and topical authority, not the entire platform. Growth is contextual, not global. What actually moves the needle: 1. Comments now outperform original posts. Thoughtful comments (15+ words) from relevant professionals often generate 2–5× the reach of likes. One recent comment crossed 60K impressions while the original post stayed under 100 likes. Comments drive dwell time, signal credibility, and travel deeper into niche feeds. → Five to ten substantive comments per day in your domain will outperform random posting. 2. Depth beats volume, every time. The algorithm tracks engagement quality: long comments, threaded discussion, saves, and shares with context. Ten real conversations outperform 500 drive-by reactions. Engagement bait (“Comment YES”) is now, at best, neutral—and often penalized. 3. Consistency matters—but only within a clear niche. Two to five posts per week are sufficient. What matters is topical focus. Stick to your lane. Authority signals compound when your content reinforces a coherent expertise narrative. Text posts and carousels routinely outperform flashy formats if they trigger real discussion. 4. Design for conversation, not applause. Strong opening lines and experience-backed insights win. Ask questions that invite expertise, not agreement. Respond quickly, especially in the first hour. Early interaction materially boosts distribution. 5. Reciprocity is not optional. Engage first. The algorithm favors mutual visibility within professional clusters. When respected peers comment on your posts, distribution expands—organically and predictably. 6. Dwell time is a hard metric. Optimize for it. External links suppress reach. If you must share one, place it in the comments. Native text, documents, and carousels consistently generate longer session time and better reach. 7. Your profile is part of the algorithm. Headline, About section, and experience shape how LinkedIn classifies you. A fuzzy profile leads to a fuzzy distribution. Authority attracts authority. 🔥 Bottom line: 👉 LinkedIn growth in 2026 is not about gaming the system. It’s about being useful, credible, and consistent in your corner of the ecosystem. Quality compounds. Noise disappears. #LinkedInGrowth #PersonalBranding #ContentStrategy #ProfessionalVisibility

If LinkedIn feels harder than it used to and your reach dropped, it's not YOU. It's the new LinkedIn algorithm. Here's what changed 👇 Over the last year, LinkedIn quietly rebuilt how the platform decides what gets seen. Welcome 360Brew, LinkedIn's new algorithm. I recently got my hands on a research paper published by LinkedIn explaining what they’re actually trying to do. Fair warning: most of it is very techy and gave me a headache.  But I pulled out the parts that matter. So here it is, straight from the horse’s mouth:  the key takeaways, and what this means for you. What actually changed...  Before this update, LinkedIn relied on a bunch of separate models each optimized for a specific thing:  – one to rank posts  – another for jobs  – another for people suggestions  – another for ads   Each one did its job well, but they didn’t talk to each other effectively. They didn't understand the full meaning and context of the content. And so, LinkedIn mostly focused on behavioral signals to decide what to show people: likes, comments, clicks, and how fast those things happened. With the 360Brew, LinkedIn now uses one shared model that: – reads posts as language  – reads profiles as context  – looks at behavior over time  – and decides relevance person by person In other words, the system is no longer siloed.  It sees the entire picture, and can match content to people more intentionally. Here’s what this actually means for you 👇 (and where most people are getting it wrong) 1️⃣ Not all engagement matters the same anymore Quick likes and one-word comments don’t carry the weight they used to. What matters more now:  – saves  – reading time  – thoughtful comments  – reposts Depth beats speed. 2️⃣ Your profile now shapes your distribution LinkedIn actively reads your headline, About section, experience, and skills. It uses that to decide:  – what topics you’re credible to speak on  – who your content should be shown to Your profile isn’t background noise anymore.  It’s context. 3️⃣ Your content has to match your profile If your posts don’t clearly align with what your profile says you do, distribution suffers. Mixed signals create confusion. Clear alignment creates momentum. 4️⃣ Topic clarity matters more than ever Broad, scattered content doesn’t perform the way it used to. The system now rewards:  – clear topic focus  – consistent language  – 2–4 defined themes  – repetition over time It takes ~90 days for the platform to fully understand your content patterns. Clarity compounds. Be patient. That’s the "game" now. (Save this if you’re serious about growing here.)

𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻 𝗱𝗿𝗼𝗽𝗽𝗲𝗱 𝗮 𝗻𝗲𝘄 𝗮𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺 𝗿𝗲𝗽𝗼𝗿𝘁, and the changes are big, subtle, and everywhere. This is the clearest roadmap we’ve had for how the feed actually works. Here are the 6 findings that matter most. 1. 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻 𝗶𝘀 𝗻𝗼𝘄 𝗮 𝘁𝗼𝗽𝗶𝗰 𝗻𝗲𝘁𝘄𝗼𝗿𝗸 • It cares 𝘮𝘰𝘴𝘵 about what you talk about. • Your posts, comments, and profile get sorted into topic clusters. • Your reach = your topics. 2. 𝗬𝗼𝘂𝗿 𝗲𝗻𝗴𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝘁𝗿𝗮𝗶𝗻𝘀 𝘁𝗵𝗲 𝗮𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺 • Every like, comment, follow is a signal. • You’re programming your reach. 3. 𝗖𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝗰𝘆 𝗯𝗲𝗮𝘁𝘀 𝘃𝗶𝗿𝗮𝗹𝗶𝘁𝘆 • Random content confuses the system. • Stay on topic, and the model learns w̲h̲e̲r̲e̲ to surface your content. 4. 𝗧𝗲𝘅𝘁 𝗶𝘀 𝘁𝗵𝗲 𝘀𝘁𝗿𝗼𝗻𝗴𝗲𝘀𝘁 𝗿𝗮𝗻𝗸𝗶𝗻𝗴 𝗳𝗮𝗰𝘁𝗼𝗿 • LinkedIn’s AI reads your words. Not your videos. • Your headline, About section, posts, and comments shape your discoverability. 5. 𝗦𝗺𝗮𝗹𝗹 𝗰𝗿𝗲𝗮𝘁𝗼𝗿𝘀 𝗮𝗻𝗱 𝗷𝗼𝗯 𝘀𝗲𝗲𝗸𝗲𝗿𝘀 𝗴𝗲𝘁 𝗮 𝗯𝗼𝗼𝘀𝘁 • The system now helps sparse networks. • You don’t need a big following to grow. 6. 𝗬𝗼𝘂𝗿 𝗽𝗿𝗼𝗳𝗶𝗹𝗲 𝗶𝘀 𝗽𝗮𝗿𝘁 𝗼𝗳 𝘆𝗼𝘂𝗿 𝗿𝗮𝗻𝗸𝗶𝗻𝗴 𝘀𝘆𝘀𝘁𝗲𝗺 • Skills, industry, job titles, certifications  • They all contribute to your reach. So what do you do with this? 🔸 𝗘𝘃𝗲𝗿𝘆𝗼𝗻𝗲 𝗖𝗹𝗲𝗮𝗻 𝘂𝗽 𝘆𝗼𝘂𝗿 𝘁𝗼𝗽𝗶𝗰 𝘀𝗶𝗴𝗻𝗮𝗹𝘀. → Engage with posts in your expertise. → Your feed trains your reach. 𝗦𝘁𝗿𝗲𝗻𝗴𝘁𝗵𝗲𝗻 𝘆𝗼𝘂𝗿 𝗰𝗼𝗻𝘁𝗲𝗻𝘁. → Write clearly. Use niche language.  → Dial down the corporate mush. 𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗳𝗶𝗹𝗲. → The more data LinkedIn has, the more accurately it can surface you. 🔸 𝗖𝗿𝗲𝗮𝘁𝗼𝗿𝘀 & 𝗠𝗮𝗿𝗸𝗲𝘁𝗲𝗿𝘀 𝗙𝗿𝗼𝗻𝘁-𝗹𝗼𝗮𝗱 𝘆𝗼𝘂𝗿 𝗽𝗼𝘀𝘁𝘀. → The first 40–60 words carry the most weight. → Lead with value. Not throat-clearing. 𝗦𝘁𝗶𝗰𝗸 𝘁𝗼 1–3 𝘁𝗼𝗽𝗶𝗰𝘀 𝗺𝗮𝘅. → Let the algorithm lock onto your expertise. 𝗘𝗻𝗴𝗮𝗴𝗲 𝗱𝗲𝗹𝗶𝗯𝗲𝗿𝗮𝘁𝗲𝗹𝘆. → Commenting in your niche strengthens your authority and widens your audience. 🔸 𝗝𝗼𝗯 𝗦𝗲𝗲𝗸𝗲𝗿𝘀 𝗨𝗽𝗱𝗮𝘁𝗲 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗳𝗶𝗹𝗲 𝗰𝗼𝗻𝘀𝘁𝗮𝗻𝘁𝗹𝘆. → Courses. Certifications. Projects. → Fresh profiles get priority. 𝗖𝗼𝗺𝗺𝗲𝗻𝘁 𝘁𝗵𝗼𝘂𝗴𝗵𝘁𝗳𝘂𝗹𝗹𝘆 𝗼𝗻 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝗰𝗼𝗻𝘁𝗲𝗻𝘁. → This signals relevance to recruiters 𝘢𝘯𝘥 to the algorithm. 𝗨𝘀𝗲 𝗸𝗲𝘆𝘄𝗼𝗿𝗱𝘀 𝘁𝗵𝗮𝘁 𝗺𝗮𝘁𝗰𝗵 𝘁𝗵𝗲 𝗷𝗼𝗯𝘀 𝘆𝗼𝘂 𝘄𝗮𝗻𝘁. → “Passionate about…” won’t get you surfaced. → “Program Manager, Workforce Development, AI-Skilled” will. 🎯 𝗧𝗵𝗲 𝗯𝗼𝘁𝘁𝗼𝗺 𝗹𝗶𝗻𝗲 This isn’t about gaming the system. It’s about understanding how the system understands 𝘺𝘰𝘶. Align your profile, content, and engagement around the same topics. And get discovered faster. 💬 Which finding surprised you the most? ♻️ Share this to help your network. 🔔 Follow Tonya for creator-friendly AI insights.

LinkedIn’s 360Brew algorithm: most of what you hear is wrong Let’s start here: If you’re following “LinkedIn growth hacks,” - using extensions, off-site links - sending more DMs, - aggressively viewing profiles… You are likely working against yourself, not helping. My team did extensive research on the new 360Brew algorithm. We reviewed articles, blogs, videos, expert interviews, and spoke with people close to LinkedIn. REALLY IMPORTANT to know: LinkedIn will never publicly confirm most of this, by design. They intentionally keep distribution mechanics quiet. This is why misinformation spreads. Here’s what consistently showed up. Myth: Using extensions and outbound links is fine. Fact: Most extensions and external links (including YouTube) reduce distribution. Myth: Viewing lots of profiles signals engagement. Fact: Excessive daily profile views can lead to account restrictions. Myth: Sending a high volume of DMs increases reach. Fact: Too many DMs can also trigger restrictions. Why this matters: LinkedIn still hasn’t solved how to distinguish human behavior from AI with profile views and DMs, so these actions are monitored closely. Myth: You need to limit your # of comments each day. Fact: You can comment freely, with no penalty. Myth: The algorithm doesn’t care much about your profile. Fact: It cares about EVERYTHING now. 360Brew evaluates patterns across your profile, posts, comments, clicks, stated expertise, and consistency over time. It’s not judging single actions, it’s assessing whether your behavior makes sense together. Myth: Provocative imagery still delivers stopping power. Fact: Imagery MUST align with your content and expertise. LinkedIn is serious about remaining a professional platform, not being a TikTok or Instagram. Myth: Large accounts no longer have an advantage. Fact: They do — but not in a fixed or transparent way. Once an account crosses a certain follower threshold, LinkedIn begins to treat it differently, and content receives automatic early distribution. Those thresholds can change quietly and are not publicly documented. Early distribution matters, but relevance and your expertise will determine how far your content travels. Myth: Deep personal stories work best (authentic). Fact: Only when they align with your expertise, profile, engagement, and long-term behavior. And this matters: 360Brew is cumulative, not immediate. It evaluates behaviors over time, not individual posts. Why do I share this? Because research is what my team and I do best. -->Market research. -->Feasibility studies. -->Behavioral analysis. -->Pattern recognition. Whether we’re evaluating markets,, brands, or algorithms, the work is the same: separate signal from noise and explain what’s happening. LinkedIn’s 360Brew algorithm works the same way. It doesn’t reward tactics. It rewards alignment. Who you say you are. What you post. How you engage. And whether it all holds together over time. That’s their system now.

You downloaded your LinkedIn analytics. Five tabs of data. Zero insights. Discovery tab shows 847,392 impressions. Engagement tab shows 4.2% engagement rate. Top Posts lists your 50 best performers. You have no idea what to do with any of it. Here's what content strategists actually do: They use AI to cross-reference all 5 tabs and find the patterns. The workflow that turns spreadsheets into actionable strategy: 1. Upload all 5 tabs to Claude at once Discovery: Overall performance and reach metrics Engagement: Impressions and interaction data Top Posts: URLs with publish dates and performance Followers: Daily new follower counts Demographics: Audience breakdown by role and industry Don't analyze them separately. The insights hide in the connections between tabs. 2. Match follower spikes to specific content Cross-reference Followers tab with Top Posts by date. "Which posts drove 200+ new followers the next day?" "Did that viral post actually attract our target audience?" You see which content types move the needle on growth. Not just which posts got likes. 3. Find your impression-to-follower conversion rate Compare Discovery impressions with Followers growth. High impressions, low follower growth = wrong audience. Moderate impressions, high follower growth = perfect targeting. Most people optimize for impressions. When they should optimize for conversion. 4. Spot your engagement rate outliers Ask AI: "Which posts punched above their impression count?" A post with 5,000 impressions and 400 engagements beats a post with 50,000 impressions and 1,000 engagements. The first one has 8% engagement. The second has 2%. LinkedIn's algorithm will amplify the first one next time. 5. Build the strategic playbook AI summarizes the patterns. You write the action plan. "Our case study posts drive 3x more followers per impression than thought leadership. Our carousel format gets shared more but video drives profile visits. New strategy: 2 case studies per week in carousel format, 1 video demo on Fridays." Most LinkedIn reports show vanity metrics. Smart reports show what content actually converts. Your 5-tab export shows which posts turned viewers into followers. AI finds the pattern while you're still sorting by engagement rate. Found this helpful? Follow Arturo Ferreira

Half of what "experts" say about LinkedIn is wrong. Here's the reality of LinkedIn in 2026: ↳ Follower growth down 59% ↳ Impressions down 50-65% ↳ Engagement up 12% --- Sources: Industry data: Richard van der Blom's Algorithm Insights 2025 (1.8M+ posts analysed). Essential reading if you're serious about LinkedIn. My data: Stanley (Your Content Coach) helped me analyse 12 months of my posts to validate these findings. --- LinkedIn isn't broken. The rules just changed. --- 1. Engagement pods boost visibility ❌ OLD: Pods = more reach. ✅ NEW: LinkedIn detects artificial engagement. Pods trigger spam filters and suppress your reach. --- 2. Post as often as possible ❌ OLD: More posts = more visibility. ✅ NEW: Posting twice in 24 hours cannibalises your reach. The algorithm penalises back-to-back posts by up to 20%. Quality + 24hr spacing wins. --- 3. Short punchy posts win ❌ OLD: Keep it brief. ✅ NEW: Dwell time is now a ranking factor. Short posts get scrolled past. Long-form posts (800-1000 words) rank higher. --- 4. Go viral or go home ❌ OLD: Chase virality. ✅ NEW: LinkedIn shifted to relevance-based distribution. Niche expertise beats broad appeal. --- 5. Links kill your reach ❌ OLD: Never post links. ✅ NEW: My newsletter links hit 1.6x engagement. My AI prompts post with a link? 2.5x. Links with value still perform. --- 6. Video is king ❌ OLD: Video gets the most reach. ✅ NEW: Video reach dropped 200%. Carousels perform 1.9x better — dwell time beats views. --- What my data confirmed: The real killers: ↳ Posting twice in 24 hours ↳ Short promo-only posts (0.8x) ↳ Novelty posts without clear value (0.6x) The real winners: ↳ Personal story + lesson format (1.3x-1.6x) ↳ Long-form educational posts (2.5x-5.8x) ↳ Carousels with actionable steps The algorithm now rewards: ↳ 15+ word comments (2.5x reach boost) ↳ Expertise over entertainment ↳ Depth over frequency --- Stop following 2023 advice in 2026. Want to build a system that actually works? The AI Creators Club starts January 5th. Here's what you get: ↳ Personalised feedback on your content ↳ AI systems tested by 275k+ followers ↳ Weekly live coaching sessions This is how you stop guessing and start growing. Join before we start → https://lnkd.in/enTVYc3z Which myth were you still believing? Drop it below. Repost ♻️ to help someone in your network.

If you write content, then you have to pay attention. Linkedin has just published the do’s and don’ts for staying visible. In the future, content that does not show up inside AI-generated answers will effectively not exist. Here is my summary of the Linkedin guide: 𝟭. 𝗖𝗼𝗻𝘁𝗲𝗻𝘁 𝗺𝘂𝘀𝘁 𝘀𝗲𝗿𝘃𝗲 𝘁𝘄𝗼 𝗮𝘂𝗱𝗶𝗲𝗻𝗰𝗲𝘀 𝗮𝘁 𝗼𝗻𝗰𝗲: human readers and AI models. Plain, accessible language, a neutral authoritative tone, and sections that make sense on their own increase the chance content is trusted, quotable, and surfaced in AI-generated answers. 𝟮. 𝗖𝗹𝗲𝗮𝗿, 𝘄𝗲𝗹𝗹-𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝗱 𝘀𝗲𝗻𝘁𝗲𝗻𝗰𝗲𝘀 𝗮𝗿𝗲 𝘁𝗵𝗲 𝗳𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗔𝗜 𝘃𝗶𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆: use complete declarative statements, keep sentences under 20 words, add inline context, and use factual language over metaphors so both humans and models understand meaning quickly. 𝟯. 𝗟𝗟𝗠 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗰𝗮𝗻𝗻𝗼𝘁 𝗿𝗲𝗽𝗹𝗮𝗰𝗲 𝗦𝗘𝗢 𝗳𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀: structure, depth, site performance, and technical foundations still determine visibility. 𝟰. 𝗛𝗲𝗮𝗱𝗶𝗻𝗴𝘀 𝗻𝗼𝘄 𝗮𝗰𝘁 𝗮𝘀 𝗮 𝗿𝗼𝗮𝗱𝗺𝗮𝗽 𝗳𝗼𝗿 𝗔𝗜: use descriptive main titles that state a full idea, break pages into question-driven subheadings, avoid vague labels, and maintain a logical broad-to-specific flow. 𝟱. 𝗟𝗲𝗮𝗱 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗮𝗻𝘀𝘄𝗲𝗿: start major sections with a short, definitive answer (30–80 words), then expand with detail - don’t bury the main point in explanation. 𝟲. 𝗜𝗻𝘁𝗲𝗿𝗻𝗮𝗹 𝗹𝗶𝗻𝗸𝘀 𝘁𝗲𝗮𝗰𝗵 𝗔𝗜 𝗵𝗼𝘄 𝘁𝗼𝗽𝗶𝗰𝘀 𝗰𝗼𝗻𝗻𝗲𝗰𝘁: use descriptive link text, connect related themes, organize content around central pages with supporting articles, and avoid overwhelming pages with excessive links. 𝟳. 𝗠𝗮𝗸𝗲 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗲𝗮𝘀𝗶𝗲𝗿 𝗳𝗼𝗿 𝗔𝗜 𝘁𝗼 𝗲𝘅𝘁𝗿𝗮𝗰𝘁: clearly define key terms, use lists and numbered steps, add real FAQ sections, and clearly show that the page is regularly updated with visible “last updated” dates. 𝟴. 𝗦𝗽𝗲𝗮𝗸 𝘁𝗵𝗲 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗼𝗳 𝗔𝗜: use schema markup (machine-readable labels added to pages) to describe what the content is about, who published it, and what is being offered so models understand context, trust the source, and surface accurate answers. 𝟵. 𝗦𝗲𝗻𝗱 𝗰𝗹𝗲𝗮𝗿 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗮𝗹 𝘀𝗶𝗴𝗻𝗮𝗹𝘀 𝘁𝗼 𝗔𝗜: use clean, accessible page structure and semantic markup (HTML tags that label page sections) along with natural-language titles, descriptions, and URLs so models can correctly interpret meaning and match content to real user questions. 𝟭𝟬. 𝗩𝗶𝘀𝘂𝗮𝗹𝘀 𝗶𝗻𝗳𝗹𝘂𝗲𝗻𝗰𝗲 𝗔𝗜 𝘃𝗶𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆: images and videos need captions, descriptive alt text (text descriptions for images), clear filenames, optimized metadata, and transcripts so AI can understand what they show and when to surface them. Source: How to optimize your owned content for AI search – Linkedin 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐦𝐲 𝐧𝐞𝐰𝐬𝐥𝐞𝐭𝐭𝐞𝐫: https://lnkd.in/dkqhnxdg