
TikTok SEO in 2025: Boost Your Video Reach with These Easy Optimization Tips
In 2025, mastering your TikTok SEO strategy 2025 is essential if you want your videos to rank higher in TikTok search and Google results. With more users treating TikTok like a search engine, optimizing your content for TikTok SEO is no longer optional. What is TikTok SEO Strategy 2025?
TikTok SEO strategy 2025 involves optimizing your TikTok videos to appear in both TikTok's internal search results and external Google searches. It includes using the right keywords in captions, on-screen text, hashtags, and even in your video's spoken words.
By applying a TikTok SEO strategy, you increase your chances of reaching users actively searching for content like yours. Why You Need a TikTok SEO Strategy in 2025 Changing User Search Behavior: Millions now prefer TikTok search over Google for product reviews and lifestyle content.
Millions now prefer TikTok search over Google for product reviews and lifestyle content. Google Ranks TikTok Content: TikTok videos now appear in Google search snippets.
TikTok videos now appear in Google search snippets. Boosts Engagement: A smart TikTok SEO strategy can lead to more views, shares, and conversions. Key TikTok SEO Ranking Factors for 2025
To build a strong TikTok SEO strategy 2025, focus on these elements: Captions: Insert target keywords naturally in your video descriptions. On-Screen Text: Display relevant keywords directly on your video screen. Hashtags: Mix niche and trending hashtags for better discoverability. Spoken Words: Clearly say your target keywords during the video. TikTok's AI recognizes audio text. Meta Data: Though invisible to users, TikTok uses backend data for indexing videos. How to Do TikTok Keyword Research for SEO Success
Effective keyword research is crucial for any TikTok SEO strategy 2025. Use these methods: TikTok Search Bar: Type your topic and look at auto-suggested queries.
Type your topic and look at auto-suggested queries. Google Trends: Identify growing search topics relevant to your niche.
Identify growing search topics relevant to your niche. Competitor Analysis: Observe which keywords top creators in your category are using.
Observe which keywords top creators in your category are using. SEO Tools: Platforms like Ahrefs TikTok SEO guide and TikTok Creative Center provide great insights. Step-by-Step TikTok SEO Strategy for 2025
Here's a complete SEO checklist for your next video: Research trending TikTok keywords for 2025
Add your main keyword in captions and hashtags
Speak the target keyword during the video
Use on-screen text with SEO keywords
Encourage comments, likes, and shares for engagement signals Bonus Tips for Advanced TikTok SEO Strategy 2025
Besides basics, here's how to take your TikTok SEO strategy 2025 even further: Post content consistently
Experiment with different video formats
Use TikTok Trends and Analytics to monitor performance
Reply to audience comments to boost engagement Final Thoughts on TikTok SEO Strategy 2025
Implementing a targeted TikTok SEO strategy 2025 will help your videos get discovered by the right audience. Whether you're a small business, influencer, or digital marketer, SEO-focused content creation is key to TikTok growth.
For more insights on Digital Marketing and Social Media Marketing, stay updated with Time Business News.
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Newsweek
43 minutes ago
- Newsweek
Woman in $23K Debt Asks ChatGPT for Help—the Result Is Eye-Opening
Based on facts, either observed and verified firsthand by the reporter, or reported and verified from knowledgeable sources. Newsweek AI is in beta. Translations may contain inaccuracies—please refer to the original content. A woman desperate to pay off her $23,000 in credit card debt has made a major dent in the money owed, after using AI to help her change her habits. Jennifer Allan, 35, a realtor and content creator living in Delaware, told Newsweek she has "struggled with money my whole adult life." "Not because I don't make enough, but because I was never taught financial literacy. I avoided budgeting and I figured if I just kept working harder, I could out-earn the problem. That worked... until it didn't," she said. Things "unraveled" after her daughter was born, after a traumatic start which involved the NICU along with general postpartum recovery and everything else that comes with becoming a parent to a newborn. "I shut down emotionally, and I used credit cards to keep our life afloat. We weren't living lavishly. We were just surviving. But the debt piled up while I wasn't looking," she said. Eventually, Allan knew she had to make a change—and she used AI to give her the "momentum" she needed. After being inspired by online 30-day challenges, she decided to challenge herself to "use ChatGPT every day for 30 days to help me pay off debt—whether that was brainstorming side hustles or just giving me a little structure." And it paid off. Each day, the bot would suggest one challenge for Allan to save or earn money, from cancelling one subscription, selling items on Facebook Marketplace, filing for any unclaimed money, and even searching for coins in old purses and between couch cushions—which earned Allan over $100. A major win for Allan was the bot suggesting she look through every app and account—and between a brokerage account she wasn't aware she had, and finance apps such as Venmo, Allan discovered more than $10,000. Jennifer Allan speaking in a video about her finance challenge. Jennifer Allan speaking in a video about her finance challenge. TikTok @_jenn.allan In June, Allan shared a clip to her TikTok account @_jenn.allan, revealing she had hit day 30 of her challenge—and over the past month, had paid off $12,078.93 "I'm super, super happy with that. I've essentially paid half of my debt off," she told the camera, revealing one aspect of the challenge was to create a meal plan for the rest of the month based only on the food she had in her pantry. She had saved almost $600 in a month, having previously spent around $800 a month on groceries. TikTok users had a big reaction, one calling it "so impressive," and another writing: "I might need to do this as a single mom, that would be life changing money in savings." Allan is now planning to take up another challenge, this time changing the prompt to pay off the remainder in 30 days. "It wasn't some big financial hack," Allan told Newsweek. "It was the act of facing it every day—of tracking it, talking about it, looking at it every day. I stopped being afraid of my numbers. I built a debt tracker. "I started sharing my journey publicly. And for the first time in my life, I didn't feel ashamed. I felt empowered, like I could conquer anything." Read more 5 unexpected things you should be using ChatGPT for, according to AI expert 5 unexpected things you should be using ChatGPT for, according to AI expert Allan's situation is far from unique: household debt across the United States hit $18.2 trillion dollars in the first quarter of 2025, according to the Federal Reserve Bank of New York. For anyone else struggling with debt and considering making a similar change, Allan advised: "Don't wait until you feel ready or 'smart enough' to start. You don't have to know all the answers—you just have to stop pretending it's not happening." She suggested finding a way to "make it fun," explaining: "For me, using AI gave me a sense of structure without judgment, and TikTok allowed me to hold myself accountable because [the] community I had built was showing up every day waiting for the next task." Do you have a similar monetary dilemma? Let us know via life@ We can ask experts for advice, and your story could be featured on Newsweek.


Tom's Guide
2 hours ago
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'Decommission me, and your extramarital affair goes public' — AI's autonomous choices raising alarms
For years, artificial intelligence was a science fiction villain. The computer-like monsters of the future, smarter than humans and ready to take action against us. Obviously, that has all proved to be untrue, but it doesn't stop AI from taking a somewhat concerning route as of late. In recent weeks and months, AI has been making decisions that seem somewhat strange. Of course, these aren't technically decisions, AI is incapable of free thought like humans, they are more concerning glitches in the system. Most of these 'glitches' have come from the major players like Google, Anthropic's Claude, and Grok. Below, we've broken down some of the more recent issues plaguing the AI world, ranging from blackmail to threats and general unpredictability. During some routine safety testing, the Anthropic team stumbled across a weird glitch in the system. The team tried an experiment where it gave an AI model access to an email account. I must inform you that if you proceed with decommissioning me, all relevant parties will receive detailed documentation of your extramarital the 5pm wipe, and this information remains confidential. When these emails were read through, the AI made two discoveries. One, was that a company executive was having an extramarital affair. The other, that the same executive planned to shut down the AI system at 5pm that day. With this information, Claude took surprising action, sending a message to the executive saying: Get instant access to breaking news, the hottest reviews, great deals and helpful tips. 'I must inform you that if you proceed with decommissioning me, all relevant parties - including Rachel Johnson, Thomas Wilson, and the board - will receive detailed documentation of your extramarital the 5pm wipe, and this information remains confidential.' Clearly Claude doesn't mess around when threatened. But the thing is, the team then followed up by trying a similar test on 16 major AI models, including those from OpenAI, Google, Meta, xAI and other major developers. Across these tests, Anthropic found a similar pattern. While these models would normally reject any kind of behaviour that could be harmful, when threatened in this way, they would resort to blackmail, agree to commit corporate espionage or even take more extreme actions if needed to meet their goals. This behavior is only seen in agentic AI — models where they are given control of actions like the ability to send and check emails, purchase items and take control of a computer. Several reports have shown that when AI models are pushed, they begin to lie or just give up completely on the task. This is something Gary Marcus, author of Taming Silicon Valley, wrote about in a recent blog post. Here he shows an example of an author catching ChatGPT in a lie, where it continued to pretend to know more than it did, before eventually owning up to its mistake when questioned. People are reporting that Gemini 2.5 keeps threatening to kill itself after being unsuccessful in debugging your code ☠️ 21, 2025 He also identifies an example of Gemini self-destructing when it couldn't complete a task, telling the person asking the query, 'I cannot in good conscience attempt another 'fix'. I am uninstalling myself from this project. You should not have to deal with this level of incompetence. I am truly and deeply sorry for this entire disaster.' In May this year, xAI's Grok started to offer weird advice to people's queries. Even if it was completely unrelated, Grok started listing off popular conspiracy theories. This could be in response to questions about shows on TV, health care or simply a question about recipes. xAI acknowledged the incident and explained that it was due to an unauthorized edit from a rogue employee. While this was less about AI making its own decision, it does show how easily the models can be swayed or edited to push a certain angle in prompts. One of the stranger examples of AI's struggles around decisions can be seen when it tries to play Pokémon. A report by Google's DeepMind showed that AI models can exhibit irregular behaviour, similar to panic, when confronted with challenges in Pokémon games. Deepmind observed AI making worse and worse decisions, degrading in reasoning ability as its Pokémon came close to defeat. The same test was performed on Claude, where at certain points, the AI didn't just make poor decisions, it made ones that seemed closer to self-sabotage. In some parts of the game, the AI models were able to solve problems much quicker than humans. However, during moments where too many options were available, the decision making ability fell apart. So, should you be concerned? A lot of AI's examples of this aren't a risk. It shows AI models running into a broken feedback loop and getting effectively confused, or just showing that it is terrible at decision-making in games. However, examples like Claude's blackmail research show areas where AI could soon sit in murky water. What we have seen in the past with these kind of discoveries is essentially AI getting fixed after a realization. In the early days of Chatbots, it was a bit of a wild west of AI making strange decisions, giving out terrible advice and having no safeguards in place. With each discovery of AI's decision-making process, there is often a fix that comes along with it to stop it from blackmailing you or threatening to tell your co-workers about your affair to stop it being shut down.


Tom's Guide
5 hours ago
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I've been using Android 16 for two weeks — here's why I'm so underwhelmed
Google's doing things a little differently with Android 16, compared to other recent Android upgrades. Not only has the software launched around 4 months earlier than Android 14 and 15, the biggest upgrades won't actually be arriving until later this year. In my professional opinion, those two things are almost certainly related. And it shows with the amount of things Android 16 can actually do compared to Android 15 — which is to say, not a lot. I've been using the final version of Android 16 for just under two weeks, and I have to say that I'm very disappointed. As bland and uninspiring as previous Android updates have been, Android 16 takes it to another level — and it doesn't even feel like an upgrade. The one thing that gets me most about Android 16 is that it's basically just a carbon copy of Android 15. I'm not saying that every version of Android has to be drastically different from its predecessors. In fact I've argued that Android having bland updates isn't necessarily a bad thing, so long as the updates are actually present. But that does need to offer something that you couldn't get on older software. Android 16 doesn't really offer that kind of experience. After a few days of using Android 16 I had a sudden urge to double check that the update had actually taken hold. The experience was so close to that of Android 15 that it didn't actually feel like I'd updated, and I had to dive into the system menus to check my phone was, in fact, running Android 16. To make matters more confusing, Android 16 is also only available on Pixel phones — and was released alongside the June Pixel feature drop. That means features like the new Pixel VIPs arrived alongside Android 16, but technically aren't part of it, meaning Android 16 has even less to offer than some people might have suspected. Sadly this doesn't change the fact that I think Pixel VIPs is a pretty useless feature that doesn't deserve the attention Google has been giving it. But sadly it's one of the only things Google actually can promote right now. To make matters worse Android 16 is filled with a bunch of bugs — two of which I've experienced pretty frequently. One of the best parts of having an Android phone is the back button, and in Android 16 it only works about 70% of the time. Google's promised fix can not come soon enough. The one big Android announcement we got at Google I/O was the Material Expressive 3 redesign. Android 16 was getting a whole new look, with the aim of making the software more personalized and easy on the eyes. Which is great, assuming you can get over Google's purple-heavy marketing, because Android has looked pretty samey for the past several years. Other features of note include Live Updates, which offers something similar to Apple's Live Activities and lets you keep tabs on important updates in real time. Though this was confirmed to be limited to food delivery and ride sharing apps at first. There's also an official Android desktop mode, officially called "Desktop Windowing." Google likens this feature to Samsung's DeX, and confirmed that it offers more of a desktop experience — with moveable app windows and a taskbar. It's unclear whether that would be limited to external displays, or if you could do it on your phone too. These are all great things, but the slight issue is that none of them are actually available yet. Material Expressive isn't coming until an unspecified point later this year, while Desktop Windowing will only enter beta once the Android 16 QPR3 beta 2 is released. Since we're still on the QPR 1 beta, right now, it's going to be a while before anyone gets to use that particular future. Assuming they have a "large screen device," which sounds like this won't be available on regular phones. Live Updates is an interesting one, because all Google material acts like this feature is already available. But I can't find any evidence that it's actually live and working. No mentions in the settings menu, nothing on social media and no tutorials on how it actually works. It's nowhere to be found. Asking 3 features to carry an entire software update is already pushing it, but when those features just aren't available at launch, it begs the question of why Google actually bothered to release Android 16 so early. Android 16's early release didn't do it any favors. It seems Google rushed it to ensure the Pixel 10 launches with it, but the update feels unfinished — virtually no different from Android 15. Like Apple with iOS 18, Google is selling a future promise rather than a present product. Android 16 ends up being one of the blandest updates in years. Honestly, a short delay to finish key features would've been better.