Anastasia Kotsiubynska’s Post

Threads gave us a peek behind the curtain of their algorithm recently. Here’s what we learned: 1. Threads does not use the word ‘algorithm’ and refers to their ranking system as an artificial intelligence (AI) system 2. Threads’ AI system only impacts the For You feed. The Following feed is a chronological feed that shows content only from users you follow. 3. Ranking is a 3-step process: 1️⃣ Gather inventory (content) 2️⃣ Leverage signals (engagement) 3️⃣ Rank content 4. Content on Threads must abide by the Instagram Community Guidelines 5. The signals that shape users’ feeds are: ∙ Whether or not a user will like a post ∙ How likely a user is to click to view replies on a post ∙ How likely they are to follow the author of a post ∙ How likely a user is to click on the profile of a post's author ∙ How likely a user is to scroll past a post rather than engage with it 6. Actions on Instagram (like viewing someone’s Instagram profile) affect Threads’ feeds 7. Users can customize their experience with the option to unfollow, share, mute, hide, and report Get more details on how the Threads algorithm works in our latest article: #threads #threadstips

4 tips to get traffic back from Google AI search results. The new Google Gemini-powered search is here. (It's being tested in the US.) → A lot of queries will be answered by Google's AI. → And you won't get clicks to your website. Here's what I'm doing to minimize traffic loss for clients. 1) Leverage Videos and Images Stand out in a world of text-based AI results. ↳ Example: convert text FAQs into videos. 2) Optimize for Long-Tail Keywords To show up for phrases above four or five words. ↳ Example: “weekend getaways ideas with my family” 3) Get a presence on Reddit Google is giving priority to Reddit threads. ↳ Don't spam. Create meaningful conversations. 4) Remember that AI Search isn't always prompted Long-tailed queries tend to trigger AI responses. ↳ Straightforward searches may not. We can't escape it. Google decided this is the future of search (for now). So prepare now and avoid surprises later. We can do it! PS: How many rocks do you eat per day?

3 lessons from analyzing +546,000 AI Overviews 📉 𝐃𝐨𝐦𝐚𝐢𝐧 𝐑𝐚𝐧𝐤𝐢𝐧𝐠𝐬: YouTube and LinkedIn are part of the top 3 most cited sites in AIOs while Reddit and Quora have surprisingly dropped significantly in AIO visibility. 📊 𝐕𝐢𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐲 𝐆𝐚𝐩: Some sites, like lifewire.com or businessinsider.com, have a significantly higher ratio of AIO citations compared to organic search, leading to a significant opportunity to increase in SERP visibility. 🛑 𝐂𝐢𝐭𝐚𝐭𝐢𝐨𝐧 𝐀𝐛𝐬𝐞𝐧𝐜𝐞: 0.85% of AIOs do not include citations, indicating that Google is willing to not send out traffic in some rare cases for shallow intent queries. YouTube and LinkedIn are crucial jumping off points AIO to impact answers. We need to keep an eye on citation-less AIOs to monitor and measure the risk of not getting any traffic at all. Details in the comments!

I built a personal "search" engine, powered by Anthopic's Claude 3.5. It's more useful to me than Google search. As we’ve been saying since late 2022, “search” as we know it is on its way out. Most of us want quick, accurate answers immediately. Google recognised this years ago which is why we have “Zero click” results, rich snippets, and featured answers. More recently, they have been using AI Overviews to answer users’ questions. This is just one tool I use to see if client's sites are AI Agent ready. Will open source on Github soon. Comment if you want the link. #SEO #AI #digitalmarketing #agenticsearch

Here is an interesting observation. I've been testing out social media algorithms the last few weeks to see which content has the most impressions, engagements, etc. The post I made last night on LInkedIn was 100% organic (check it out if you haven't already...it's about replacing scrolling time with learning time). It had a higher impression rate and engagement rate than previous text-only posts. The interesting thing about this is that it was 100% organic. I didn't use AI in any way to write it. Other posts over the last few weeks have varied. Some were straight copy and paste from an AI tool, others were requesting AI tools to create outlines and then I would write organically. The posts that had the highest engagements and overall impressions were posts that: 1: Contained a video 2: Contained text that I wrote myself using an AI generated outline based on a topic that was trending in Google Search that day. I'll continue to test this out but so far, what I've seen is that video posts with personally written text based on a strategically designed AI outline work best. To test this further...I wrote this post 100% organically, but used AI to make the video. Let' s see how this one performs. What are some takeaways you have from this?

AI Overviews has started to become like entertainment, reading all these funny examples of how it went wrong 😅 Here is one where one person’s opinion got into AI Overviews 🤔 For more insights in how AI Overviews works in practical, follow Lily Ray

Here is an interesting observation. I've been testing out social media algorithms the last few weeks to see which content has the most impressions, engagements, etc. The post I made last night on LInkedIn was 100% organic (check it out if you haven't already...it's about replacing scrolling time with learning time). It had a higher impression rate and engagement rate than previous text-only posts. The interesting thing about this is that it was 100% organic. I didn't use AI in any way to write it. Other posts over the last few weeks have varied. Some were straight copy and paste from an AI tool, others were requesting AI tools to create outlines and then I would write organically. The posts that had the highest engagements and overall impressions were posts that: 1: Contained a video 2: Contained text that I wrote myself using an AI generated outline based on a topic that was trending in Google Search that day. I'll continue to test this out but so far, what I've seen is that video posts with personally written text based on a strategically designed AI outline work best. To test this further...I wrote this post 100% organically, but used AI to make the video. Let' s see how this one performs. What are some takeaways you have from this?

🔎 Google AI Search x Reddit: hilariously bad tl;dr: Google's new "AI Overview" feature is generating some truly bizarre and inaccurate suggestions, like using glue to thicken pizza cheese. This is likely due to the feature's reliance on Reddit data, which can be a mixed bag. While Google is aware of the issue, it's a tough problem to solve. * * * 🔍 The Big Picture: Google's AI Overview feature has been making headlines for all the wrong reasons. It's been recommending things like using Nutella to cool your PC or making mustard gas to clean your washing machine. It's in turn hilarious, dangerous, and generally concerning. 🕵️ What It Means For You: This whole situation highlights the challenges of AI development and the lack of quality data to feed new AI models. While AI can be incredibly powerful, it's also prone to making mistakes, especially when trained on large datasets of dubious quality like Reddit. This means that we need to be careful about how we use AI and be aware of its limitations - and validate every answer we get from AI search engines. 🚀 My Take On It: It's likely that Google is using Reddit data to power its AI Overviews, and this could be the source of the problem. Reddit is a great resource for information, but it's also full of jokes, misinformation, and even dangerous advice. Google needs to find a way to filter out this bad data, but it's not an easy task. And OpenAI should learn from Google's pain (see yesterday's post about the deal between OpenAI and Reddit) #AI #Google #AISearch #Reddit Image credit: Peter Yang via X/Twitter

🚀 Big news in the digital world! 👉Google recently paused the image generation capability of their Gemini model, admitting that the way it was “tuned” resulted unintended inaccuracies. This event offers insights into how Google’s algorithms, including their search ranking algorithms, can generate unintended results. 👉Understanding what happened is helpful because it expands the understanding of how Google’s algorithms work and illuminates that there is in fact a history of those algorithms falling short and requiring updates to fix how they are tuned. #Google #GeminiModel #Algorithm #ImageGeneration #SearchRanking #SEO #ArtificialIntelligence #AI #MachineLearning #Update #AlgorithmicTransparency #EthicalAI #GoldenGateTechnoLabs #MarketingTrends #LinkedInPost

4 tips to get the most out of Perplexity AI: 1. Use “Focus” to search specific sources Tap the Focus button to narrow searches to specific sources like academic papers, videos (YouTube), or social media (Reddit). Examples: • Academic: “Give me insights from recent generative AI papers.” • Social: “What underrated action movies are Reddit favorites?” 2. Use modifiers to search specific sites, date ranges, and file formats Modifiers are extremely powerful — here are two of my favorites: • “site:” Really great for searching specific websites or newsletters. • “before:” and “after:” e.g., “What are US election predictions? after:2024-01-01” 3. Use collections to search a topic with others Collections let you organize search threads into shareable spaces with family, friends, or coworkers. You can also set a default prompt to tailor Perplexity’s suggestions to your needs (e.g., “I’m visiting Cancun in December with daughters aged 6 and 2). 4. Search Perplexity from Google Chrome address bar • Go to Chrome Settings -> Search Engines • Add a site search and fill in shortcut (e.g., "p") and URL (https://lnkd.in/gQQiqZCZ). Now, you can search Perplexity directly from the address bar by typing “p (query)” 📌 Check out my full post for more tips and 10 ways that I use Perplexity: https://lnkd.in/gQhB97E3