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Time Business News
3 days ago
- Business
- Time Business News
Beginner's Guide to Attract Organic Backlinks for Successful SEO
Backlinks are the easiest and most effective way to regain authority for a website. It instils audience trust in your content and helps with SEO ranking, bringing organic traffic. Organic backlinks can alert Google that your content is worthy of ranking with high value and credibility. However, backlinks can be difficult to maintain, especially for beginners. This article covers simple tips that can organically attract more website backlinks for your content. Anyone can create high-quality content and wait for backlinks. The smart move is to be intentional with your topic choice by researching if anyone wants to republish or link it. Content is king when it comes to SEO and ranking. To ensure your efforts are not wasted, you can make a list of websites where your target audience is gathering. A local expert can help you with such industry-specific websites. For example, if a Georgia-based retail business wants local backlinks, it is best to work with Ruby Digital Atlanta . These experts can help you create informative and engaging content, which increases the chances of organic backlinks. Research the high-authority websites in your niche that are known for their industry reputation. Guest blogging for such websites can help you reach a wider audience and earn organic backlinks for your website. Each website has different criteria for the content to make sure it's relevant and complies with the host site's audience. Famous companies in your industry offer a dedicated press section that covers featured sections. You can follow these pages for regular updates and cover a story about them on your blog. This can help you in building strong relations with these influencers in your industry. This organic backlink strategy can amplify your audience reach and help you earn worthy backlinks. This is a popular backlinking technique that requires you to search for top-quality content and create something better. After this, you can approach popular websites that have linked such content. Present your new content and suggest they link to your improved content instead of the original piece. For example, if the original blog is offering 10 tips to improve SEO reach, your blog should mention 20 tips for improved SEO reach. Many popular SEO tools like Screaming Frog and Ahrefs can help you identify broken links on websites. These website owners are sometimes unaware of these links and can allow content replacement. Additionally, this can help in building good relations as you help them fix this SEO issue. To make sure you get multiple backlinks, approach as many websites as you can. Audience interest is the basis of any good SEO and link-building strategy. This is why you must ensure the diversity of your content. Engaging videos and detailed infographics can spark audience interest and bring organic links to your website. By following these tips, you can attract natural links from leading websites and ensure your SEO success. TIME BUSINESS NEWS
Hospitality Net
13-06-2025
- Business
- Hospitality Net
Rebuilding hotel tech stacks for the Agentic AI era Philip Barton
A new kind of traveller is emerging, one who may never visit your website, click an ad, or speak to a human. Instead, they rely on their personal AI agent to plan, compare, negotiate, and book every aspect of their trip. This shift marks a seismic change in how travel is discovered and transacted, demanding a fundamental rethink of hotel technology stacks. Are hoteliers ready for this new class of guests and their digital representatives? Consider how AI-driven website traffic is already having a dramatic impact: According to Ahrefs, 63% of websites receive AI traffic , with smaller sites experiencing the highest proportion. , with smaller sites experiencing the highest proportion. A survey by Adobe reveals that traffic from generative AI sources (chatbots or AI-powered search assistants) on U.S. travel websites rose 1,700% from Jul 2024 to Feb same survey shows that visitors arriving via generative AI tools show 8% higher engagement, view 12% more pages, and have a 23% lower bounce rate than non-AI traffic sources. reveals that traffic from generative AI sources (chatbots or AI-powered search assistants) on U.S. travel websites rose 1,700% from Jul 2024 to Feb same survey shows that visitors arriving via generative AI tools show 8% higher engagement, view 12% more pages, and have a 23% lower bounce rate than non-AI traffic sources. Cloudflare found that monthly traffic to generative AI services grew by 251%between February 2024 and March 2025. So, what does this all mean for the hospitality industry? Most hospitality tech stacks weren't built for AI; they were designed for humans, not machines. Legacy systems are slow, fragmented, and incapable of speaking the language of autonomous AI. To stay visible and bookable in an AI-agent-first ecosystem, hotels must rethink their infrastructure from the data layer up, embracing real-time interoperability, AI-native protocols, and machine-readable data formats. Is your data AI-ready? The rise of AI agents demands a fundamental shift in how hotels manage and present their data. Traditional website designs optimised for visual appeal and manual navigation are insufficient for engaging with AI-driven tools. Hotels must evaluate their systems against the following criteria: Structured data formats: Implement markup to make room availability, pricing, and amenities accessible to AI crawlers. Implement markup to make room availability, pricing, and amenities accessible to AI crawlers. Real-time accessibility: Ensure APIs deliver fast, accurate responses to queries from AI agents, with latency ideally under 100ms and definitely under 200ms. The 95th percentile for API response times should always be under 3 seconds. Ensure APIs deliver fast, accurate responses to queries from AI agents, with latency ideally under 100ms and definitely under 200ms. The 95th percentile for API response times should always be under 3 seconds. Interoperability: Adopt protocols like Model Context Protocol (MCP) to enable seamless interaction between hotel systems and external AI platforms. Adopt protocols like Model Context Protocol (MCP) to enable seamless interaction between hotel systems and external AI platforms. Dynamic content updates: Automate inventory and pricing updates to reflect real-time changes, ensuring AI agents always access the latest information. Hotels that fail to meet these standards risk becoming invisible to AI agents, which prioritise systems capable of delivering clean, actionable data. By preparing their data for this new user class, hoteliers can ensure they remain competitive in an increasingly automated travel ecosystem. Building the foundation: A focused, AI-ready architecture Modern hospitality stacks begin with unified data ecosystems that aggregate guest profiles, operational metrics, and market signals into cloud-based repositories. This eliminates silos between PMS, CRM, and revenue management systems, creating a single source of truth. Unifying data overlaid with semantic meaning is the prerequisite for AI innovation, enabling real-time analysis of guest preferences, occupancy trends, and competitive pricing. With clean data pipelines, hotels can deploy AI co-pilots that: Adjust room rates dynamically using market demand signals Predict guest preferences (room, meal selection, room settings, etc) Handle customer inquiries through conversational AI Optimise housekeeping routes and inventory orders. These systems learn continuously, improving efficiency and personalisation over time. Agentic integration: MCP and the rise of the A2A Economy The emergence of AI agents opens a new paradigm for hotels: active participation in the agentic economy. Hotels can no longer passively rely on traditional distribution channels. To thrive, they must embrace strategies that enable seamless interaction with AI agents, creating new avenues for booking, personalisation, and revenue generation. This starts with understanding and implementing key protocols such as the Model Context Protocol (MCP), which paves the way for the Agent-to-Agent (A2A) economy. MCP is a new and evolving protocol that transforms hotels into active participants in the A2A economy. It standardises how AI agents interface with hotel systems, expanding the capabilities of individual agents by enabling them to connect and interact with other specialised agents, leading to richer and more versatile functionalities. This benefits hotels as it allows their systems to: Offer more comprehensive travel solutions : By connecting with external AI agents, hotels can offer bundled packages that include flights, transportation, and local experiences, all coordinated seamlessly. : By connecting with external AI agents, hotels can offer bundled packages that include flights, transportation, and local experiences, all coordinated seamlessly. Reach a wider audience : Integration with diverse AI travel platforms expands the hotel's reach beyond traditional channels, tapping into new customer segments. : Integration with diverse AI travel platforms expands the hotel's reach beyond traditional channels, tapping into new customer segments. Improve efficiency and reduce costs: Automating interactions with AI agents minimises the need for human intervention in routine tasks, freeing up staff to focus on higher-value activities. MCP is a rapidly evolving landscape that can potentially eliminate fragile API integrations, allowing properties to connect with numerous services through a single MCP gateway. Imagine a guest's travel agent AI seamlessly booking rooms, spa services, and dinner reservations by interfacing directly with your hotel's agent. Optimising the agent experience 8Traditionally, websites have focused on the user experience (UX). However, the rise of AI demands a focus on the agent experience (AX) that must consider a different set of technical priorities: AI-accessible inventory: Expose rooms, amenities, and add-ons through GraphQL APIs and enable multi-property package bookings in a single transaction. Expose rooms, amenities, and add-ons through GraphQL APIs and enable multi-property package bookings in a single transaction. Machine-readable content: Replace visual call to actions (CTAs) with annotations, reconsider SEO in the context of how LLMs view your brand visibility, and implement tags for preferential crawling. Replace visual call to actions (CTAs) with annotations, reconsider SEO in the context of how LLMs view your brand visibility, and implement tags for preferential crawling. Agent Experience (AX) design: Develop parallel website versions optimized for API interactions. Semantic consistency and support for multiple data sources, including social and query graphs, are all key. Develop parallel website versions optimized for API interactions. Semantic consistency and support for multiple data sources, including social and query graphs, are all key. Dynamic commission structures: Create lower AI-specific affiliate tiers and offer bulk booking discounts for high-intent agent queries. Transitioning from legacy systems to seize the AI opportunity The transition to an agent-mediated hospitality landscape is not a distant possibility but an accelerating reality. Hotels that delay implementing MCP capabilities and an agent-friendly infrastructure risk significant market share erosion within 12-18 months as AI travel planning becomes mainstream. Forward-thinking properties are already capturing early-adopter advantages through strategic partnerships with emerging AI travel platforms. The challenge now is how quickly hoteliers can transform their digital infrastructure to become preferred partners in the A2A economy, where AI agents will increasingly mediate guest relationships. The journey to an AI-first architecture means hotels must adopt a modern technology stack by: Phasing out on-premise systems with cloud-native platforms offering open API access. Adopting composable data and platform architecture using microservices for easy MCP integration. Considering website SEO and agentic presentation pathways. Retraining staff on AI-assisted workflows, reducing manual data entry. Revamped stacks for the Agentic AI era will drive operational efficiency and real-time channel optimisation by automatically redistributing inventory across the most profitable channels and guest profiles. First-mover hoteliers will help shape the new distribution paradigm and have greater control over their digital destiny in the age of AI.
Yahoo
09-06-2025
- Business
- Yahoo
Anthropic's AI-generated blog dies an early death
Claude's blog is no more. A week after TechCrunch profiled Anthropic's experiment to task the company's Claude AI models with writing blog posts, Anthropic wound down the blog and redirected the address to its homepage. Sometime over the weekend, the Claude Explains blog disappeared — along with its initial few posts. A source familiar tells TechCrunch the blog was a "pilot" meant to help Anthropic's team combine customer requests for explainer-type "tips and tricks" content with marketing goals. Claude Explains, which had a dedicated page on Anthropic's website and was edited for accuracy by humans, was populated by posts on technical topics related to various Claude use cases (e.g. 'Simplify complex codebases with Claude'). The blog, which was intended to be a showcase of sorts for Claude's writing abilities, wasn't clear about how much of Claude's raw writing was making its way into each post. An Anthropic spokesperson previously told TechCrunch that the blog was overseen by "subject matter experts and editorial teams" who 'enhance[d]' Claude's drafts with 'insights, practical examples, and […] contextual knowledge.' The spokesperson also said Claude Explains would expand to topics ranging from creative writing to data analysis to business strategy. Apparently, those plans changed in pretty short order. "[Claude Explains is a] demonstration of how human expertise and AI capabilities can work together,' the spokesperson told TechCrunch earlier this month. "[The blog] is an early example of how teams can use AI to augment their work and provide greater value to their users. Rather than replacing human expertise, we're showing how AI can amplify what subject matter experts can accomplish." Claude Explains didn't get the rosiest reception on social media, in part due to the lack of transparency about which copy was AI-generated. Some users pointed out it looked a lot like an attempt to automate content marketing, an ad tactic that relies on generating content on popular topics to serve as a funnel for potential customers. More than 24 websites were linking to Claude Explains posts before Anthropic wound down the pilot, according to search engine optimization tool Ahrefs. That's not bad for a blog that was only live for around a month. Anthropic might've also grown wary of implying Claude performs better at writing tasks than is actually the case. Even the best AI today is prone to confidently making things up, which has led to embarrassing gaffes on the part of publishers that have publicly embraced the tech. For example, Bloomberg has had to correct dozens of AI-generated summaries of its articles, and G/O Media's error-riddled AI-written features — published against editors' wishes — attracted widespread ridicule. This article originally appeared on TechCrunch at Error while retrieving data Sign in to access your portfolio Error while retrieving data Error while retrieving data Error while retrieving data Error while retrieving data
Yahoo
09-06-2025
- Business
- Yahoo
Anthropic's AI-generated blog dies an early death
Claude's blog is no more. A week after TechCrunch profiled Anthropic's experiment to task the company's Claude AI models with writing blog posts, Anthropic wound down the blog and redirected the address to its homepage. Sometime over the weekend, the Claude Explains blog disappeared — along with its initial few posts. A source familiar tells TechCrunch the blog was a "pilot" meant to help Anthropic's team combine customer requests for explainer-type "tips and tricks" content with marketing goals. Claude Explains, which had a dedicated page on Anthropic's website and was edited for accuracy by humans, was populated by posts on technical topics related to various Claude use cases (e.g. 'Simplify complex codebases with Claude'). The blog, which was intended to be a showcase of sorts for Claude's writing abilities, wasn't clear about how much of Claude's raw writing was making its way into each post. An Anthropic spokesperson previously told TechCrunch that the blog was overseen by "subject matter experts and editorial teams" who 'enhance[d]' Claude's drafts with 'insights, practical examples, and […] contextual knowledge.' The spokesperson also said Claude Explains would expand to topics ranging from creative writing to data analysis to business strategy. Apparently, those plans changed in pretty short order. "[Claude Explains is a] demonstration of how human expertise and AI capabilities can work together,' the spokesperson told TechCrunch earlier this month. "[The blog] is an early example of how teams can use AI to augment their work and provide greater value to their users. Rather than replacing human expertise, we're showing how AI can amplify what subject matter experts can accomplish." Claude Explains didn't get the rosiest reception on social media, in part due to the lack of transparency about which copy was AI-generated. Some users pointed out it looked a lot like an attempt to automate content marketing, an ad tactic that relies on generating content on popular topics to serve as a funnel for potential customers. More than 24 websites were linking to Claude Explains posts before Anthropic wound down the pilot, according to search engine optimization tool Ahrefs. That's not bad for a blog that was only live for around a month. Anthropic might've also grown wary of implying Claude performs better at writing tasks than is actually the case. Even the best AI today is prone to confidently making things up, which has led to embarrassing gaffes on the part of publishers that have publicly embraced the tech. For example, Bloomberg has had to correct dozens of AI-generated summaries of its articles, and G/O Media's error-riddled AI-written features — published against editors' wishes — attracted widespread ridicule.
Yahoo
30-05-2025
- General
- Yahoo
Which is the most commonly misspelled word in each state?
(NEXSTAR) – The 97th Scripps National Spelling Bee took place this past week, showcasing the orthographical talents of the best and brightest youngsters in the nation. And unlike us, none of them were using Google to doublecheck their spelling. In honor of this year's Bee, — an online resource for wordsmiths and Scrabble enthusiasts — has attempted to determine the most misspelled word in each state by studying the volume of Google searches containing phrases like 'How do you spell [X]' or 'How to spell [X].' The site's analysts also enlisted the help of Ahrefs, a marketing and SEO company, to determine the volume of searches and the variations of possible spelling queries for the analysis. The results, according to are indicative of 'America's most misspelled words.' Spelling bee champ wins by visualizing words typed on keyboard A representative for the site said many of the commonly misspelled words shared similar attributes, such as silent letters, tricky vowel sounds, or foreign etymologies. Having autocorrect on our phones and computers may also be contributing to poorer spelling ability, the spokesperson noted. 'We simply forget things that we delegate to technology,' the spokesperson wrote in an emailed statement obtained by Nexstar. 'Misspellings might be on the rise not because we know less, but because we need to know less.' Which words do Americans often misspell? On a national level, the results of the analysis determined that Americans misspell the word 'definitely' more than any other, with 33,500 searches for the word's correct spelling recorded from January 1 through May 16, 2025. 'Separate' and 'necessary' followed behind with 30,000 searches and 29,000 searches respectively. America's most misspelled words, according to Definitely – 33,500 searches. Separate – 30,000 searches. Necessary – 29,000 searches. Believe – 28,500 searches. Through – 28,000 searches. Gorgeous – 27,000 searches. Neighbor – 25,500 searches. Business – 24,200 searches. Favorite – 23,000 searches. Restaurant – 22,500 searches. When it comes to individual states, many of those same words appear to be most difficult for residents to spell. Some of the notable outliers include: residents of Hawaii, who often appear to have trouble with 'luau'; residents of Tennessee, who aren't so sure how to spell 'broccoli'; and Google users in Vermont, who more often request the correct spelling of 'Supercalifragilisticexpialidocious.' America's most misspelled words by state, according to Alabama – Different Alaska – Tomorrow Arizona – People Arkansas – Quesadilla California – Appreciation Colorado – Sergeant Connecticut – Schedule Delaware – Beautiful Florida – Compliment Georgia – Necessary Hawaii – Luau Idaho – Definitely Illinois – Congratulations Indiana – Taught Iowa – Through Kansas – Different Kentucky – People Louisiana – Through Maine – Pneumonia Maryland – Character Massachusetts – Beautiful Michigan – Scratch Minnesota – Successful Mississippi – Beautiful Missouri – Temperature Montana – Appreciate Nebraska – Beautiful Nevada – School New Hampshire – Protective New Jersey – Congratulations New Mexico – Appreciate New York – Different North Carolina – Secret North Dakota – Daughter Ohio – Crochet Oklahoma – Patience Oregon – Business Pennsylvania – Scissors Rhode Island – Cancelled South Carolina – People South Dakota – Beautiful Tennessee – Broccoli Texas – Protect Utah – Definitely Vermont – Supercalifragilisticexpialidocious Virginia – People Washington – Appreciation West Virginia – Beautiful Wisconsin – Different Wyoming – Beautiful Scripps spelling bee celebrates a century of testing young learners The results of the analysis were released just in time for the 2025 Scripps National Spelling Bee, which itself came just in time to make Americans everywhere feel slightly worse about their own spelling abilities. Faizan Zaki, 13, a student from Allen, Texas, won the competition after correctly spelling the word 'eclaircissement,' which Merriam-Webster defines as 'a clearing up of something obscure.' He then fell to the floor as confetti rained down upon the stage. 'One thing that differentiates him is he really has a passion for this,' a friend of his told the Associated Press. 'In his free time, when he's not studying for the bee, he's literally looking up archaic, obsolete words that have no chance of being asked.' Copyright 2025 Nexstar Media, Inc. All rights reserved. This material may not be published, broadcast, rewritten, or redistributed.
