Meta is announcing wider availability of its generative AI chatbot, “Meta AI,” to all WhatsApp, Facebook, Messenger, and Instagram users in India today. The company had initially deployed the chatbot in April for testing with select users. Meta AI is powered by Meta’s latest Llama 3 large language model. It is currently available only in English. Meta has integrated it directly into WhatsApp group chats, so it can for instance recommend restaurants for your next outing. Meta AI is available on the web as well where it can help create a multiple-choice test for study practice, so on and so forth. Meta AI’s capabilities extend beyond WhatsApp and web. As you scroll through your Facebook Feed, Meta AI is there to enhance your experience. If you come across an intriguing post, you can ask Meta AI for more information directly from the post. One standout feature of Meta AI is its text-to-image generation, activated by using the word “imagine.” Whether in a direct interaction or a group chat, you can create and share images effortlessly. This “Imagine” feature allows you to spark creativity, enabling you to design a custom invite for your child’s birthday party or collaborate with friends to create fun, […]
Meta unveiled a set of new generative artificial intelligence (AI) features for advertisers Tuesday (May 7), including image and text generators that speed up creative production. The offerings address a demand among marketers for a greater sense of control in their AI experiments and a guarantee that the results will meet what are often specific internal brand guidelines, like ensuring the correct colors are present in ads. Striking the right balance with generative AI is important for Meta to build confidence in a technology the Instagram and WhatsApp owner believes is key to future growth but that has fallen into complex ethical and legal tangles. “Part of the answer for how to grow [generative AI] adoption is making sure it’s not just a black box but you also have the right levels of control,” said John Hegeman, vice president and head of monetization at Meta, during the Q&A portion of a presentation to reporters. “Brand guidelines are an area where brands are going to continue to have a lot of specific preferences and not want those to be violated.” Meta’s image generator at launch only spits out image variations based on assets that the advertiser submits rather than working off of text […]
Meta is testing Meta AI, its large language model-powered chatbot, with WhatsApp, Instagram, and Messenger users in India and parts of Africa. The move signals how Meta plans to tap massive user bases across its various apps to scale its AI offerings. The company recently began testing the AI chatbot, until now available in testing in select markets including the U.S., with some users in India, many of them said. India, home to more than 500 million Facebook and WhatsApp users, is the social giant’s largest market. Meta confirmed the move in a statement. “Our generative AI-powered experiences are under development in varying phases, and we’re testing a range of them publicly in a limited capacity,” a Meta spokesperson told TechCrunch. Meta unveiled Meta AI, its general-purpose assistant, in late September. The AI chatbot is designed to answer user queries directly within chats as well as offer them the ability to generate photorealistic images from text prompts. Instagram and WhatsApp’s massive global user base, boasting billions of monthly active users, presents Meta with a very unique opportunity to scale its AI offerings. By integrating Meta AI into WhatsApp and Instagram, the Facebook-parent firm can expose its advanced language model and image […]
Facebook owner Meta META.O announced major changes to its policies on digitally created and altered media on Friday, ahead of U.S. elections poised to test its ability to police deceptive content generated by new AI technologies. What gets labelled? The social media giant will start applying “Made with AI” labels in May to AI-generated videos, images, and audio posted on its platforms, expanding a policy that previously addressed only a narrow slice of doctored videos, Vice President of Content Policy Monika Bickert said in a blog post. Bickert said Meta would also apply separate and more prominent labels to digitally altered media that poses a “particularly high risk of materially deceiving the public on a matter of importance,” regardless of whether the content was created using AI or other tools. The new approach will shift the company’s treatment of manipulated content. It will move from one focused on removing a limited set of posts toward one that keeps the content up while providing viewers with information about how it was made. Meta’s scheme evolves Meta previously announced a scheme to detect images made using other companies’ generative AI tools using invisible markers built into the files but did not give a start date at the time. A […]
Meta reportedly announced that it will now start labelling AI-generated images across all of its social media networks, including Instagram, Facebook and Threads, in the coming months. The social media giant already applies the ‘Imagined with AI’ labels to images generated using its Meta AI feature, but the company now wants to label AI images generated by other big players in the industry, including Google and OpenAI. “As the difference between human and synthetic content gets blurred, people want to know where the boundary lies,” Meta’s president of global affairs Nick Clegg wrote in a blog post on Tuesday. Meta to roll out ‘Imagined with AI’ labels “So it’s important that we help people know when photorealistic content they’re seeing has been created using AI,” he added. Clegg’s post said the platform already does it by applying “Imagined with AI” labels to photorealistic images created using our Meta AI feature. “That’s why we’ve been working with industry partners to align on common technical standards that signal when a piece of content has been created using AI. Being able to detect these signals will make it possible for us to label AI-generated images that users post to Facebook, Instagram and Threads,” he said. Meta […]
Summary: What Makes E-commerce SEO Different from Traditional SEO? E-commerce SEO operates at scale and directly impacts revenue. Unlike standard websites, e-commerce platforms manage hundreds or thousands of pages across products, categories, and filters. Each page must be optimised not just for visibility but for conversion. Search behaviour has also evolved. Users now discover products across search engines, social platforms, and AI-driven systems. This creates a new reality. SEO is no longer limited to ranking pages. It must ensure visibility across multiple discovery channels while maintaining a clear path to purchase. Why Does SEO Directly Influence E-commerce Revenue? Organic visibility brings high-intent buyers ready to convert. Paid traffic stops the moment budgets are paused. Organic traffic compounds over time and delivers consistent acquisition at a lower cost. In e-commerce, this translates into: More than half of e-commerce traffic still originates from organic search. Visibility is not just about traffic. It is about attracting customers who are already looking to buy. How Should You Approach Keyword Strategy for E-commerce? Keyword strategy must focus on buyer intent, not volume. Broad keywords attract traffic but rarely convert. High-intent, long-tail queries bring users closer to purchase decisions. An effective e-commerce keyword strategy includes: The […]
Summary What Has Changed About Keywords in 2026? Search engines no longer depend on exact keyword matches alone. Algorithms now understand meaning, context, and user behaviour with remarkable accuracy. Older SEO strategies focused heavily on repetition. Content creators once tried to rank by placing the same keyword multiple times across a page. That method no longer works. Modern SEO evaluates: Content that answers questions clearly tends to perform better than content that simply repeats keywords. Do Keywords Still Matter for SEO? Keywords still play an essential role in SEO. Their purpose has shifted from targeting search engines to understanding users. Keyword research helps identify: A strong keyword strategy builds the foundation of any content plan. Search engines still rely on keywords to interpret content, even with advanced AI systems in place. Keywords act as signals. Content without clear keyword relevance often struggles to rank. Why Are Keywords Important in Modern SEO? Keywords remain important because they connect user queries with relevant content. Every search begins with a word or phrase. Three key reasons explain their importance: 1. Keywords Reveal User Intent Search queries reflect real user needs. Clear patterns emerge through keyword data. 2. Keywords Guide Content Creation Content structure […]
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In the era of AI, everything is advancing rapidly, and among the latest innovations is Manus AI. This AI agent, developed by the startup Monica, is changing the way machines interact with the web and perform tasks autonomously. While traditional AI chatbots provide answers to queries, Manus goes beyond that as the meta-AI drafts, researches, and completes complex assignments independently of a human. As China seeks to lead the world in the global AI arms race, Manus is already being compared to some of the industry’s leading AI models, such as those from OpenAI and Google. What is Manus? Manus is a general-purpose AI agent that can complete real-world tasks for you autonomously. Instead of just answering questions, it determines an entire process. If you ask it to write a report about climate change, for example, Manus won’t just give you facts — it will research, draft a detailed report, create charts and then format it into a polished document. This hands-free method of completing tasks is a massive leap forward for AI-powered productivity. What Sets Manus Apart? Manus, released on March 6, has received significant attention for its performance in the GAIA benchmark, in which it allegedly outperforms OpenAI’s DeepResearch. A […]
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