Imdad Malik Stands Out Among SEO Experts in the USA: A 2025 Guide to Digital Excellence – Vocal

Imdad Malik Stands Out Among SEO Experts in the USA: A 2025 Guide to Digital Excellence  Vocal
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Orange Marketing's Ebook Revolutionizes AI-Centric Digital Marketing Strategies – OpenTools

Unlock the Future of Marketing with AI Insights
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Edited By
Mackenzie Ferguson
AI Tools Researcher & Implementation Consultant
Orange Marketing has launched a groundbreaking ebook titled 'Marketing to AI: Your New Audience – 10 Tactics to Influence Algorithms and Connect With People'. This insightful guide reveals the growing significance of AI tools in search and content discovery, challenging conventional SEO methods. Marketers are offered ten cutting-edge strategies to align content with AI algorithms, focusing on technical SEO, metadata optimization, and cohesive branding.

In today’s rapidly evolving digital landscape, AI-powered marketing is emerging as a pivotal force reshaping the way businesses connect with their audience. The recent release of Orange Marketing’s ebook, “Marketing to AI: Your New Audience – 10 Tactics to Influence Algorithms and Connect With People,” underscores the urgency for marketers to adapt to AI-driven tools [source]. This groundbreaking guide lays emphasis on transitioning from traditional SEO methods to more sophisticated strategies that appeal to AI algorithms. It suggests that the era where businesses solely focused on search engine crawlers is fading, making way for a model that prioritizes structured content, strategic metadata, and AI-friendly practices.

AI’s integration into marketing strategies is not just about staying relevant; it is about recognizing the revolutionary impact these technologies have on consumer interactions. From Google’s ongoing algorithm updates, which progressively leverage AI to understand user intent better, to the personalization of marketing campaigns delivering tailored content, AI is dramatically redefining marketing dynamics [source, source]. These changes compel marketers to shift from outdated tactics and instead focus on creating comprehensive, user-centered content that resonates with modern consumers.

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Moreover, as AI tools such as ChatGPT increasingly serve as primary platforms for information-gathering, optimizing content for these tools becomes essential. Orange Marketing’s ebook provides actionable strategies to meet this need, including recommendations like technical SEO for AI and knowledge block formatting [source]. These strategies not only enhance content visibility but also foster a deeper connection with the audience, ensuring that marketing efforts are not just noticed by search engines but also by the intelligent systems increasingly mediating online interactions.

In recent years, artificial intelligence has increasingly become a cornerstone in the way content is discovered online. As the digital landscape evolves, AI’s role has expanded beyond simple automation to becoming a pivotal element in comprehending and predicting user behavior. A compelling testament to this shift is reflected in the innovative approaches adopted by Orange Marketing, highlighted in their ebook, “Marketing to AI: Your New Audience – 10 Tactics to Influence Algorithms and Connect With People”. This guide underscores the necessity for marketers to move past traditional SEO methods, emphasizing that AI-driven strategies can significantly enhance content visibility and engagement. By investing in AI technologies, businesses can gain a competitive advantage in the rapidly changing online environment, ensuring that their content not only reaches but resonates with their target audience. For more insights into these strategies, this resource is a must-read .

AI has disrupted conventional content discovery processes by enabling a more personalized and efficient way to connect with consumers. The integration of AI in content marketing is leading to a paradigm shift, where personalization and precision are prioritized over basic keyword targeting. This shift is evident in Google’s ongoing algorithm updates that now heavily focus on understanding user intent through AI, which challenges traditional SEO practices. In particular, these updates support AI-driven methods within marketing strategies that are tailored to meet individual user needs with remarkable accuracy. This evolution is fostering a new era where marketers must fine-tune their methods to influence how AI algorithms perceive and rank their content, effectively making AI-friendly content optimization an essential skill for modern marketers. Orange Marketing’s ebook strategically addresses these new dynamics, providing marketers with the tools they need to adapt and thrive in this transformed landscape .

The role of AI in content creation is expanding, serving as a valuable asset to marketers who aim to enhance the effectiveness and reach of their content. While AI tools assist in generating and optimizing content, they also contribute to the creative processes by suggesting topic ideas and refining the presentation with algorithms that understand user preferences. This burgeoning collaboration between AI and human creativity is a crucial focus in Orange Marketing’s recent publication, which lays out a roadmap for marketers eager to harness AI’s potential. By effectively implementing AI-driven content strategies, marketers can ensure their offerings remain relevant and engaging to a continually evolving audience. Orange Marketing’s ebook is an excellent resource for those looking to adapt to these innovations and succeed in the modern digital realm .

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“Marketing to AI: Your New Audience – 10 Tactics to Influence Algorithms and Connect With People” by Orange Marketing is reshaping how marketers approach their craft in the digital era. The emergence of AI tools as pivotal players in the realm of search and content discovery necessitates a shift from traditional SEO methods, which are quickly becoming obsolete. The ebook underscores the importance of adjusting to this new landscape by exploring key strategies like technical SEO tailored for AI, the strategic use of metadata, and consistent branding efforts. By doing so, marketers can ensure that their content resonates not just with human audiences, but also with AI algorithms, thus enhancing their visibility and impact in the digital space. This approach is more important than ever, as noted in the [news article](https://northeast.newschannelnebraska.com/story/52908553/new-guide-to-help-b2b-marketers-and-nonprofits-get-noticed-by-ainot-just-search-engines), pointing out the crucial need to optimize content for AI platforms to maintain relevance and reach.

The guide’s emphasis on adapting marketing strategies to fit AI algorithms reflects a broader shift in the digital marketing paradigm. By focusing on refined content structures and strategic metadata deployment, “Marketing to AI” offers a roadmap for marketers seeking to stay ahead in an arena where AI plays a central role. This transition not only aids in mastering the art of algorithm-friendly content but also aligns closely with user intent—a critical component detailed within Orange Marketing’s offerings. With AI’s role in marketing continually expanding, marketers are encouraged to leverage these insights to fortify their content strategies against the backdrop of ever-advancing AI technologies. By integrating practical strategies from the ebook, including consistent branding and knowledge block formatting, marketers can better navigate the complexities of AI-driven content environments for optimal engagement and performance. This aligns with the notion that traditional SEO techniques alone are no longer sufficient for achieving the desired reach, as outlined in the [source](https://northeast.newschannelnebraska.com/story/52908553/new-guide-to-help-b2b-marketers-and-nonprofits-get-noticed-by-ainot-just-search-engines).

In the fast-evolving digital marketing landscape, “Marketing to AI” emerges as a critical resource for those keen to understand and utilize the unique intersections of AI and content strategy. It pushes the boundaries of conventional marketing by detailing ten innovative strategies, each crafted to enhance a business’s interface with AI-driven tools and platforms. These strategies—ranging from technical SEO for AI to strategic applications of metadata and branding—are designed to give marketers a competitive edge amidst the rapid advancements in AI technology. As AI continues to shape consumer behavior and market dynamics, the ebook offers essential guidance on how marketers can not only adapt but thrive in this new environment, ensuring that their content speaks accurately to both human readers and AI algorithms. More details on these transformative strategies are available from [Orange Marketing’s guide](https://northeast.newschannelnebraska.com/story/52908553/new-guide-to-help-b2b-marketers-and-nonprofits-get-noticed-by-ainot-just-search-engines).

In the ever-evolving digital marketing landscape, traditional search engine optimization (SEO) has long been the cornerstone for brands seeking to enhance their online visibility. However, with the advent of AI-focused marketing, the playing field is rapidly transforming. Traditional SEO strategies typically concentrated on optimizing keyword usage, backlinks, and content quality to rank higher on search engine results pages (SERPs). While these techniques remain relevant, Orange Marketing’s new guide highlights a crucial shift towards AI-friendly practices. These new strategies emphasize the importance of structuring content that is easily crawlable by AI algorithms, ensuring that the content resonates not just with human audiences but also with artificial intelligence platforms.

AI-focused marketing represents a paradigm shift in how businesses approach online visibility. According to the ebook “Marketing to AI”, traditional SEO is becoming outdated as AI-powered tools take precedence in content discovery. Marketers are now urged to concentrate on metadata optimization and crafting structured content that AI platforms like ChatGPT can easily process. This approach not only helps to maintain visibility in search results but also enhances the ability to connect with a broader audience by aligning marketing strategies with the preferences of AI-driven systems.

The guide underscores the need for marketers to pivot from traditional SEO tactics toward methods that cater extensively to AI algorithms. This includes technical SEO adjustments such as ensuring metadata is correctly optimized and enhancing brand consistency across AI platforms. By doing so, businesses can stay ahead in an increasingly AI-dominated digital environment, enabling them to influence AI algorithms more effectively and ensuring their content is discovered by both human audiences and machine learners. As emphasized by Orange Marketing’s new strategies, these adjustments are not merely tweaks but essential transformations for businesses that seek sustainable success in the digital age.

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The infusion of artificial intelligence (AI) into the marketing sector is radically transforming how businesses engage with consumers, shedding light on a new era of economic influence. AI-driven tools are increasingly reshaping traditional marketing strategies, compelling companies to pivot away from standard SEO practices toward AI-optimized content strategies. As highlighted by Orange Marketing’s recent release of their ebook, “Marketing to AI: Your New Audience – 10 Tactics to Influence Algorithms and Connect With People”, marketers are urged to adapt quickly to integrate AI-centric approaches effectively. This shift is critical as it emphasizes why companies must pivot their operations to not only appeal to traditional search engines but to prepare for AI systems’ intricacies that dominate online discovery.

The economic landscape within marketing is bound to shift as AI becomes more deeply entrenched. Businesses investing in these new tactics stand to benefit immensely, experiencing growth in both their reach and operational efficiency. As AI aids marketers in personalizing content at an unprecedented scale, the immediate economic impact is seen in increased consumer engagement and conversion rates, which directly contribute to higher revenue streams. However, this transformation also ushers in a divide; enterprises slow to adopt AI technologies might struggle, potentially leading to lost market relevance in an ever-competitive marketing world. Furthermore, the demand for skilled professionals adept in AI marketing strategies is likely to surge, shaping new career paths while potentially causing redundancies in more traditional marketing roles.

The advent of personalized AI marketing marks a transformative shift in how companies engage with consumers. Utilizing AI algorithms, marketers can now deliver highly tailored content and recommendations based on detailed consumer behavior and preferences. This level of personalization not only enhances user experience but can significantly improve conversion rates and customer loyalty. However, as noted in the recently released ebook by Orange Marketing, there’s a growing concern over privacy and the ethics of data collection, as these tailored experiences are inherently reliant on aggregating and analyzing vast amounts of personal data [1](https://northeast.newschannelnebraska.com/story/52908553/new-guide-to-help-b2b-marketers-and-nonprofits-get-noticed-by-ainot-just-search-engines).

As AI-integrated marketing strategies evolve, they present both opportunities and challenges in the social realm. On the one hand, AI enables marketers to reach audiences more effectively by providing content that resonates on a personal level. On the other hand, such personalization raises critical questions regarding autonomy and consumer agency. When marketing messages are fine-tuned to an individual’s specific tastes and preferences, consumers may find themselves subconsciously influenced by marketing strategies that are increasingly invisible and seamless. This brings to light issues of manipulation and transparency, prompting a debate on the ethical use of AI in personalization without infringing on personal freedoms.

Furthermore, the social implications extend to the creation and dissemination of content itself. AI tools, which are adept at generating content, raise important questions about authenticity and the role of human creativity in marketing. While AI can assist in creating efficient and data-driven marketing materials, the reliance on automated systems could potentially homogenize content and reduce interactivity. This concern is magnified when considering how easily AI can replicate and modify existing creative works, blurring the lines between original and synthetic content. The challenge lies in striking a balance between utilizing AI for efficiency and maintaining the spontaneity and originality that human touch provides in content creation.

With AI continuing to transform personalized marketing strategies, the public discourse increasingly focuses on the implications of AI-driven approaches. While technical SEO and metadata optimization are highlighted as essential strategies for engaging with content-discovering algorithms, as mentioned in the ebook by Orange Marketing, the social impact of these strategies cannot be overlooked [1](https://northeast.newschannelnebraska.com/story/52908553/new-guide-to-help-b2b-marketers-and-nonprofits-get-noticed-by-ainot-just-search-engines). How these technologies are deployed and the intentions behind their use will play a crucial role in determining the social ramifications of AI in marketing.

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AI-driven advertising is reshaping the political landscape in unprecedented ways, raising complex challenges for policymakers. On one hand, the precision and personalization offered by AI technologies can lead to marketing campaigns that are deeply tailored to individual preferences, thereby increasing their effectiveness. However, this capability comes with significant risks, particularly in the realm of political advertising. The potential for AI to manipulate voter opinions through targeted misinformation and persuasive messaging is a growing concern. As these technologies advance, there is an urgent need for regulatory frameworks that ensure fairness and transparency in political marketing, safeguarding democratic processes and protecting citizens from undue influence.

One significant political challenge posed by AI-driven advertising is the potential for increased polarization within society. With AI algorithms capable of segmenting audiences based on ideology, advertisers can tailor political messages to reinforce existing beliefs, widening the ideological divide. This kind of micro-targeting, while effective, threatens the fundamental democratic principle of informed debate and equal access to a range of viewpoints. In addressing this, there is a pressing necessity for laws that promote diversity of information and restrict the spread of disinformation in political ads, maintaining a healthy political discourse.

Furthermore, the global nature of AI-driven advertising poses a regulatory conundrum. Given that these digital platforms operate across borders, individual national regulations may be insufficient to manage their impact. This calls for international cooperation to establish comprehensive guidelines that address issues like data privacy and content moderation. The challenge lies in balancing national sovereignty with the need for a harmonized approach to regulation, ensuring that AI-driven advertising does not undermine global democratic practices.

AI-driven advertising also raises ethical concerns about the manipulation of digital content for political purposes. The ability of AI tools to generate persuasive, emotionally charged content could be weaponized for political gain, potentially influencing election outcomes. In response, there is an escalating demand for ethical standards and accountability measures in the design and deployment of AI technologies in advertising. Such measures must ensure that the use of AI in political contexts remains transparent and aligned with democratic values, thus preventing potential misuse or abuse.

The role of major technology companies in shaping political advertising through AI is yet another complex challenge. These companies, which often control the distribution channels for digital ads, wield significant power over what content reaches the public. This concentration of control necessitates a dialogue on the responsibilities of tech giants in maintaining the integrity of political communications. Regulatory measures may need to be implemented to ensure these platforms operate with impartiality, prioritizing public interest and safeguarding electoral integrity.

The recent release of Orange Marketing’s ebook, “Marketing to AI: Your New Audience – 10 Tactics to Influence Algorithms and Connect With People,” has generated considerable buzz among marketers and industry experts. Feedback from various professional platforms and social media channels indicates a predominantly positive reception. Many marketers express appreciation for the ebook’s timely relevance, especially in light of the rapid digital transformation influenced by AI technologies. With AI changing the way content is discovered and consumed online, Orange Marketing’s initiative is seen as a critical resource for businesses looking to stay ahead of the curve.

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A significant portion of the public reception highlights the practicality of the strategies outlined in the ebook. Users have lauded the actionable guidance provided, such as the emphasis on technical SEO adaptations and strategic use of metadata, as being crucial for enhancing content visibility in an increasingly AI-driven world. In forums and webinars, marketing professionals are actively discussing the ebook’s strategies, sharing success stories and seeking further insights on implementing these techniques effectively.

However, the ebook’s reception is not without its critics. Some readers have expressed concerns about the implications of heavily relying on AI for marketing, arguing that it should not overshadow the creative and human elements that define successful marketing. This has sparked discussions around finding the right balance between leveraging AI tools and maintaining originality and emotional connection in marketing efforts. Despite these debates, the consensus remains that “Marketing to AI” is a valuable tool in navigating the evolving terrains of digital marketing.

The ebook’s impact is also evident in the broader industry discussions it has sparked. The changes suggested by Orange Marketing resonate with the ongoing shifts in SEO and content marketing strategies. Many in the industry acknowledge that as AI continues to evolve, traditional methods might become obsolete, echoing the ebook’s message that adapting along with technological advancements is imperative. Overall, the public reception demonstrates a keen interest in understanding and integrating AI into marketing strategies, showcasing Orange Marketing’s ebook as a cornerstone resource in this transition.

As we look towards the future of AI marketing, it’s clear that AI technologies will continue to reshape how marketers engage with their audiences. AI’s ability to personalize content and deliver tailored marketing campaigns is fundamentally changing the landscape. According to Orange Marketing’s newly released ebook, “Marketing to AI,” traditional SEO methods are gradually being replaced by strategies that focus on AI algorithms . This shift implies that marketers need to adapt quickly to remain competitive, embracing new techniques such as technical SEO adjustments, strategic use of metadata, and reinforcing consistent branding. These strategies help in fine-tuning content to appeal to both AI systems and human audiences, ensuring maximum reach and impact.

The evolution of AI marketing can also be seen in the ongoing algorithm updates by major search engines like Google. These updates are increasingly relying on AI to better understand user intent and improve content quality rankings . For marketers, this means crafting content that is comprehensive and user-centric, moving away from outdated tactics such as keyword stuffing. Instead, the focus is on delivering genuine value to users, which aligns with AI’s ability to process and understand context and semantics effectively.

AI-driven marketing doesn’t just impact strategies but also enhances personalization and efficiency. Through the use of machine learning and AI tools, marketers can analyze consumer behavior more effectively, leading to more relevant and timely marketing executions . This capability allows companies to engage with customers on a more personal level, which in turn increases engagement and conversion rates. Such personalization not only refines the customer experience but also optimizes marketing resources by automating mundane tasks like consumer behavior analysis and content development.

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Furthermore, AI’s role in content creation is expanding. Tools driven by AI assist marketers in generating creative ideas, improving content quality, and optimizing for search engines . While the human element of creativity remains irreplaceable, AI augments these efforts by providing efficiency and scalability in content production. This blend of AI and human creativity suggests a future where AI acts as a valuable partner in crafting compelling narratives that resonate with target audiences.

Expert opinions continue to emphasize a transformative shift from conventional SEO tactics to a new paradigm where AI takes center stage. The focus has shifted from simple keyword strategies to producing high-quality, user-focused content that genuinely helps users navigate their needs . This strategic evolution is essential not only for ranking well in search engines but also for maintaining brand relevance in an increasingly AI-driven market. By utilizing AI’s capabilities, businesses can ensure their marketing efforts are not only more effective but also more aligned with the evolving digital landscape.

In conclusion, AI marketing is poised to become an integral part of business strategies as industries continue to adapt to technological advancements. Orange Marketing’s guidebook offers a timely resource for marketers seeking to understand and leverage the benefits of AI in their campaigns . As AI continues to develop, its impact on marketing will only grow, underscoring the importance for businesses to stay informed and agile in their approaches. This will require ongoing education, experimentation, and a commitment to integrating AI in ways that enhance, rather than replace, human creativity and decision-making.

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Quick Five-Step Guide to Launching Your Own B2B SEO Campaign – MarketingProfs

by Jason Khoo
It’s no secret to digital marketers that SEO is critical to gaining online visibility.
People regularly use search engines like Google to find the products they’re looking for, and the higher the ranking of your website on results pages, the higher the chance you’ll be able to convert more sales.
We know SEO can be effective in B2C, but is it that important when trying to generate B2B leads? Considering that 71% of B2B researchers begin brand research using generic search, the answer is clear.
SEO can be highly valuable when trying to not only help other businesses find you online but also establish more authority and credibility for your brand.
Although the SEO process can take time, you can follow some easy steps to start and launch your own B2B SEO campaign.
Before attracting more B2B customers to your products or services, you first need to identify who those customers are.
Chances are, not all businesses or their procurement teams place the same value on your offerings—which is why it’s important to speak more directly to those who do.
Think about your ideal customer persona, whether purchasing managers, directors, or members of the C-suite. Consider their familiarity with various industry concepts, or their primary pain points, which they’re probably looking to address.
Also consider where they go to source their information. Do they frequently connect with other brands on LinkedIn or other professional sites? Maybe they engage with brands on industry-specific forums instead. Use those various platforms to learn more about what questions they’re asking or the problems they’re researching.
Like consumers, B2B audiences also use relevant search terms and phrases to find what they’re looking for. It’s therefore important to conduct thorough keyword research to identify those terms and incorporate them into your campaign.
There is no better place to start your keyword analysis than Google itself. You can research Google Search’s autocomplete feature to help find related terms surrounding a keyword or topic. You can also use Google’s Keyword Planner tool to help create large clusters of semantic keywords you can start targeting.
Other tools, such as Answer the Public, are also invaluable when planning your content strategy. By just entering a few keywords, you can generate a large volume of frequently asked questions that can help you fine-tune your keyword strategy.
Although there are numerous elements in a successful B2B SEO strategy, the content you create is by far one of the most important. It not only helps you to rank for more keywords on search engines but also constitutes the first impression that potential buyers will get when researching your brand.
Accordingly, the content you create should be purposeful and formatted to showcase both your expertise in the industry and your overall professionalism. Although there is nothing wrong with having a good mix of some self-promoting content, you’ll also want to showcase your thought leadership by providing informative and unique content designed to help answer common questions about various industry topics.
Having a balanced approach when generating content helps you to create an impactful and effective lead funnel.
The landing pages you create are a critical starting point of your buyer’s journey. Even though these pages rarely will lead to conversion out of the gate, if formatted correctly they can be a major stepping stone for buyers in deciding whether to look into your brand further.
Every supporting advertisement, social media post, or email you send should also complement the information you’re listing on your landing pages. Consistency in your message is critical to help increase your trust factor.
To further buttress your credibility, you can also look for ways to incorporate customer testimonials into your content—a great way to give potential customers more peace of mind and help them progress through your sales funnel.
With the right foundation in place, you can start incorporating other foundation elements of your B2B SEO campaign.
On-page SEO is a critical element of fine-tuning your website so that it resonates with your ideal customer profiles. By optimizing your content with the words and phrases potential buyers use in their searches, you signal to Google that you’re a reliable source of information and worth ranking higher on results pages.
An effective on-page optimization strategy involves integrating relevant keywords (both general and specific), creating clear and specific internal links, using keywords strategically in page titles and headings, optimizing image descriptions (alt-text), and creating helpful meta titles and descriptions that attract more clicks in search results.
Off-page SEO is all about building your brand’s reputation and influence outside your website. It essentially helps you generate more organic word-of-mouth (WOM).
To garner WOM and more reference links from other sites, focus on maintaining an active social media presence, engaging in digital PR efforts, participating in podcasts, or even collaborating with influencers. All those activities help to demonstrate your authority and expertise to search engines.
Technical SEO focuses on the behind-the-scenes aspects of your website that impact how search engines view and interact with it.
That includes factors such as page-load speed, sitemaps, security settings (SSL), user-friendly navigation (breadcrumb menus), and making it easier for search engines to index the site. It also involves optimizing your site for mobile users, fixing broken links, and ensuring optimal web server performance.
Creating a B2B SEO strategy is critical for modern businesses looking to create more visibility for their brand while differentiating themselves from the competition.
By following these basic steps, you’ll be able to create a winning SEO strategy that increases your conversion rates and brings you more leads.
The Difference Between B2B and B2C SEO (Yes, It Matters)
The Top Three B2B SEO Recommendations to Consider
Top 7 SEO Mistakes in B2B SaaS
SEO Keyword Strategy for B2B Content Development
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Google Expands Firebase Studio with AI Tools for Popular Frameworks – Analytics India Magazine

Google has announced a series of updates to Firebase Studio aimed at expanding its AI development capabilities and deepening integration with popular frameworks and Firebase services. The new features were unveiled at I/O Connect India, a nod to the country’s large and active developer community.
At the core of the update are AI-optimised templates for Flutter, Angular, React, Next.js, and general Web projects. These templates enable developers to build applications in Firebase Studio using Gemini, Google’s AI assistant, with the workspace defaulting to an autonomous Agent mode. 
Templates now include a new airules.md file, giving Gemini project-specific coding guidelines and instructions.
“We’re unveiling new updates that help you combine the power of Gemini with these new features to go from idea to app using some of your favourite frameworks and languages,” said Vikas Anand, director of product management at Google.
Firebase Studio now supports direct prompting of Gemini to integrate backend services. Developers using App Prototyping Agent or an AI-optimised template can simply describe the desired functionality, and Gemini will recommend and incorporate relevant Firebase services, including adding libraries, modifying code, and assisting with configuration.
“You can get assistance from Gemini to help you plan and execute tasks independently without waiting for step-by-step approval,” said Jeanine Banks, vice president and general manager, Developer X at Google. 
Another key update is the ability to fork workspaces. This feature lets users duplicate their entire project—including chat history with the agent—to enable safer experimentation, debugging, and collaboration without affecting the main project.
Also announced was a new “enhance prompts” capability, allowing users to refine and iterate on ideas with Gemini before generating code. The maximum upload size for projects in Firebase Studio has also been increased to 100MB, making it easier to import complex or larger-scale apps into the workspace.
More templates supporting languages such as Go, Node.js, and .NET will be rolled out in the coming weeks. Google says these updates are part of its broader push to make AI-assisted development accessible to all developers—whether they are seasoned professionals or just getting started.
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Google patches actively exploited Chrome (CVE‑2025‑6554) – Help Net Security

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Google has released a security update for Chrome to address a zero‑day vulnerability (CVE-2025-6554) that its Threat Analysis Group (TAG) discovered and reported last week.
“Google is aware that an exploit for CVE-2025-6554 exists in the wild,” the company said.
CVE-2025-6554 is a type confusion vulnerability in V8, the JavaScript and WebAssembly engine at the heart of Chrome and Chromium-based browsers.
Remote, unauthenticated attackers can exploit this flaw by serving crafted HTML pages to targets. The pages may trigger the flaw and allow them to execute arbitrary read/write operations. In some cases, this could lead to full remote code execution.
As per usual, Google has withheld exploit details pending broad deployment of the fix. But given that the vulnerability was discovered by Clément Lecigne of Google’s TAG, it’s likely that it is being leveraged in extremely targeted and likely state-sponsored attacks.
For example, a zero-day V8 flaw patched in August 2024 has been leveraged by a North Korean threat actor to target organizations in the cryptocurrency sector
The vulnerability was reported by the researchers on June 25, 2025. The day after, Google pushed out a configuration change to the Chrome Stable channel across all platforms, as a temporary mitigation.
CVE-2025-6554 has now been fixed in:
Because the flaw is being actively exploited in the wild, users are urged to update quickly.
Depending on your operating system and whether Chrome auto-updating is enabled, you can either apply the update manually or simply restart the browser to implement the fix.
Security updates for Chromium-based browsers like Microsoft Edge, Brave, Opera, and Vivaldi are still in the works.

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Into the Omniverse: How Global Brands Are Scaling Personalized Advertising With AI and 3D Content Generation – NVIDIA Blog

Editor’s note: This post is part of the AI On blog series, which explores the latest techniques and… Read Article
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AI Chatbots Revolutionize Content Creation: 80% Time Savings, SEO Boosts, and Strategies to Mitigate Risks – WebProNews

In the fast-evolving landscape of digital content creation, businesses are increasingly turning to AI chatbots like ChatGPT and Claude to streamline writing tasks, from drafting marketing copy to generating blog posts. This shift, accelerated by advancements in large language models, promises efficiency gains that could redefine productivity. Yet, as companies integrate these tools, experts caution that blind adoption risks diluting brand voice and exposing firms to ethical pitfalls.
Drawing from insights in a recent TechRadar analysis by AI specialist Desire Athow, the key to success lies in treating AI as a collaborative tool rather than a replacement for human creativity. Athow emphasizes that while chatbots excel at speed and volume, they often produce generic output unless guided by precise prompts.
Navigating the Benefits of AI-Driven Content
The allure of AI chatbots for business writing is undeniable, with tools enabling rapid ideation and iteration. For instance, platforms like Jasper and Writesonic, highlighted in a July 2025 report from First Page Sage, dominate market share by offering tailored content generation that aligns with SEO strategies and audience targeting.
Businesses report up to 80% reductions in content creation time, allowing teams to focus on strategy over grunt work. As noted in a Zapier roundup of the best AI chatbots in 2025, integrations with CRM systems further amplify this, automating personalized email campaigns and social media posts.
Addressing Ethical and Quality Challenges
However, the rush to AI isn’t without hurdles. Plagiarism risks loom large, as chatbots pull from vast datasets that may inadvertently replicate existing content, potentially leading to legal issues. Athow’s TechRadar piece warns of “hallucinations”—fabricated facts that can undermine credibility if not fact-checked rigorously.
Moreover, over-reliance on AI can erode a company’s unique voice, resulting in homogenized messaging that fails to resonate. A Medium article on chatbot marketing trends from July 2025 points out that while NLP advancements enable more natural interactions, human oversight is crucial to infuse authenticity and bias correction.
Emerging Trends Shaping 2025 Adoption
Looking ahead, 2025 trends underscore multimodal capabilities, where chatbots process text, images, and voice for richer content. According to an eMarketer guide on AI chatbots for marketers, features like emotional intelligence in tools such as Gemini allow for sentiment-aware writing, enhancing customer engagement.
Integration with automation platforms is another hotspot, as seen in Vocal Media’s overview of top chatbot development trends. Businesses are leveraging AI for predictive analytics in content strategies, forecasting viral topics based on real-time data.
Strategies for Effective Implementation
To maximize value, insiders recommend hybrid workflows: use AI for drafts, then refine with human editors. Lindy’s blog on the best AI chatbots for business suggests starting with small-scale pilots, training teams on prompt engineering to elicit brand-specific outputs.
Recent posts on X highlight a growing sentiment that mastering prompts—incorporating context, conditions, and voice—is essential for 2025 success, with users noting AI’s role in scaling operations without sacrificing quality. TechCrunch’s AI news feed from July 2025 echoes this, reporting on ethical AI frameworks that businesses are adopting to mitigate risks like data privacy breaches.
Future-Proofing with AI Innovation
As competition intensifies, forward-thinking firms are exploring autonomous agents that execute tasks beyond writing, such as A/B testing content variants. Insights from Smartech News on the top 10 AI chatbots of 2025 reveal how tools like Claude are evolving for coding-assisted content, blending technical precision with creative flair.
Ultimately, the path forward involves balancing innovation with vigilance. By heeding expert advice from sources like TechRadar and integrating 2025 trends, businesses can harness AI chatbots not just for efficiency, but for sustainable competitive advantage in content writing. This approach, grounded in collaboration, positions companies to thrive amid AI’s transformative wave.
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Supercharging Ad Creative with Amazon Bedrock and Amazon Nova: How AI is Revolutionizing Content Generation for Advertising & Marketing Use-Cases | Amazon Web Services – Amazon Web Services


AWS Blogs
The advertising industry is experiencing an exciting transformation thanks to generative AI (GenAI) tools that are revolutionizing campaign creation, digital ad generation, and marketing asset localization. While these innovations present incredible opportunities to streamline workflows and boost creativity, many organizations are navigating questions about which tools to implement, how to effectively integrate them into existing processes, and where to begin their Artificial Intelligence (AI) journey. The traditional process of developing display and video advertising assets, which typically requires weeks or months to produce multiple variations for different formats, placements, and sizes, can now be dramatically accelerated – but organizations need clear strategies to harness these new capabilities. This delay in asset creation slows down campaign launches and reduces market responsiveness.
Generative AI has emerged as a transformative solution augmenting existing human-driven processes, allowing for accelerated production at scale as well as the ability for understanding foundation models (FMs) to learn from large amounts of existing multimodal unstructured data (videos, images, brand books, previous campaign metrics and results) to then incorporate those learnings in new content generation requests.
In this blog post, we will explore the Amazon Nova family of understanding and content generation models, how the models are transforming content creation within Advertising and Marketing, Amazon Nova use-cases, as well as additional resources to get started.
AWS announced Amazon Nova at re:Invent 2024 introducing a new generation of state-of-the-art foundation models (FMs) that deliver advanced and industry-leading price-performance, available exclusively within Amazon Bedrock. The Nova family includes four understanding models (Nova Micro, Nova Lite, Nova Pro, and Amazon Nova Premier) and two creative content generation models (Amazon Nova Canvas and Amazon Nova Reel). Amazon Nova helps agencies, brands, media companies, and advertising and marketing technology organizations create high impact, on brand content at unprecedented speed and scale.
Amazon Nova models revolutionize content generation, starting with powerful image creation capabilities. Nova Canvas excels at generating entirely new images and creating variations of existing ones, dramatically reducing production time and costs. It offers fine-tuning through Amazon Bedrock, allowing teams to train the model on proprietary data for customized image generation that precisely matches their brand style and characteristics. Organizations can then test and deploy these fine-tuned models using provisioned throughput for reliable performance at scale. Nova Reel extends these capabilities to video, enabling rapid creation of new video content and variations of existing footage. The Amazon Nova family of understanding models (Nova Micro, Nova Lite, Nova Pro, and Nova Premier) as well as the content generation models (Nova Canvas and Nova Reel) are all generally available.
Advertising agency creative departments want to utilize generative AI to enhance and accelerate the creative process. They need models that help them rapidly develop high-quality advertising campaign briefs, concepts, and creative assets leveraging both natural language inputs as well as different types of files including images, video, audio, structured data, and results and insights from previous campaigns. This is hard to accomplish because existing models are limited in terms of the flexibility (fine-tuning and customization) and quality (photorealistic outputs) that they deliver. Video generation is in its early days and customers are still seeking viable options that can be used for creative production needs. These use cases are also sensitive to copyright violation risk and safety considerations for generated content.
With Amazon Nova Pro, agency creative departments can rapidly retrieve insights from a company’s brand book, products descriptions, previous advertising campaigns, and existing marketing materials to generate campaign brief development in minutes instead of weeks. Its multimodal capabilities, which combine text, images, and video inputs to text output, help teams create better brand campaigns faster using AI-driven analysis to process various types of inputs such as past creative, videos, images, keywords, campaign results, and brand attributes. The personalized content creation process is more secure and customized, bringing advertising and campaigns closer to the clients.
Amazon Nova Pro, Amazon Nova Canvas, and Amazon Nova Reel empower creative teams to focus on strategy while automating content creation. Nova Pro streamlines workflows, Nova Canvas enables brand-specific image generation through Bedrock fine-tuning, and Nova Reel 1.1 produces high-quality 2-minute videos with flexible prompt controls – delivering precise, on-brand content at scale.
Creative departments can now leverage generative to accelerate their processes, though finding AI models that effectively handle multiple input types while meeting quality standards remains challenging. Amazon Bedrock addresses this by offering a broad selection of foundation models for multimodal reasoning and content generation, helping agencies enhance creativity and reduce manual tasks. Through Amazon Q or managed agents in Bedrock, agencies can automate complex workflows by integrating various data sources – from brand books to campaign results – enabling AI assistants to develop comprehensive campaign briefs in minutes rather than weeks.
Creating display and video ad campaigns traditionally requires extensive and expensive resources, with companies needing to produce dozens of assets across various formats, placements, and sizes – a process that typically takes weeks and delays market entry. While advertising platforms and media publishers seek generative AI solutions to accelerate this process, finding models that can consistently produce high-fidelity, customizable content while offering optimal price-performance has been challenging. Amazon Nova’s creative content generation models address this challenge by enabling rapid generation of high-quality copy, images, and videos using natural language prompts. This transformation reduces campaign activation time from months to hours while maintaining brand consistency and improving conversion rates, offering publishers and media companies a cost-effective solution for delivering engaging advertising content efficiently.
Using Amazon Nova Canvas and Reel, publishers and advertising technology companies like Amazon Ads can enable their advertising customers to create high-quality images and videos for their display and video campaigns, reducing time-to-activation from weeks to hours, and allowing them to achieve the best price-performance for these workloads. With Amazon Nova Reel, advertisers can use text and natural language inputs to produce high-quality short-form videos, with state-of-the-art visual and temporal consistency. With Amazon Nova Canvas, advertisers can generate highly accurate images leveraging their brand style, product imagery, and natural language inputs. Nova Reel and Nova Canvas help customers activate effective campaigns faster and increase scalability, resulting in increased advertiser satisfaction, lower costs, and faster business growth. Nova Canvas supports fine-tuning in Amazon Bedrock, allowing users to train models on proprietary data to generate brand-matched images with reliable deployment performance. Nova Reel 1.1 now delivers faster, higher-quality 2-minute videos composed of consistent-style 6-second shots, with both single and custom prompt controls through Amazon Bedrock.
Marketing and media technology companies are leveraging generative AI to revolutionize content creation, but face challenges in producing high-quality, culturally relevant content at scale. AWS addresses this through Amazon Bedrock’s comprehensive generative AI capabilities, integrating powerful models like Nova Canvas, Nova Reel, Stability AI, and Luma AI. Combined with agentic AI through Amazon Q and managed agents, teams can now automate and streamline the creation of diverse marketing assets – from copy to videos – while ensuring cultural relevance, brand safety, and proper localization. This integrated approach transforms traditional resource-intensive processes, enabling companies to simultaneously handle multiple campaign components and achieve higher productivity while maintaining quality and brand consistency across global markets.
Using Nova Pro, Nova Canvas, and Nova Reel, media companies like Hearst, Mar-Tech companies such as Shutterstock and 123RF, and their customers, can leverage Amazon Nova’s multi-modal input and content creation models for high-fidelity asset creation and localization. They can more easily and effectively create and localize media and marketing assets at scale, including copy, images, and videos, with superior language reasoning, translation into over 200 languages, and high-quality global scene and image modifications. Amazon Nova Reel and Canvas enable global-scale marketing content creation with local relevance. Nova Canvas supports fine-tuning in Amazon Bedrock on proprietary data for brand-matched images, while Nova Reel 1.1 generates high-quality 2-minute videos with flexible prompt controls, allowing companies to create customized, culturally-relevant marketing materials worldwide.
Agentic AI is reshaping advertising and marketing through intelligent automation, empowering teams to work smarter and scale efficiently. AI agents are transforming three critical areas of marketing and advertising. First, they streamline creative campaign development by analyzing vast data sets to generate comprehensive briefs in minutes instead of weeks. Second, they revolutionize media planning by automating campaign execution, providing real-time insights, and optimizing channel performance through advanced attribution modeling. Finally, AI agents enable sophisticated audience segmentation by processing real-time customer data to deliver personalized content that adapts to evolving preferences. This AI-driven approach converts traditionally lengthy, manual processes into efficient, data-informed strategies that scale effectively.
See model support by AWS Region in Amazon Bedrock documentation. For pricing information, please see Amazon Bedrock pricing. In addition, AWS offers uncapped intellectual property (IP) indemnity coverage for outputs of generally available Amazon Nova models, reducing copyright and IP violation risk for customers. For more information, see AWS AI Service Cards for Amazon Nova Micro, Lite, Pro and Premier, Amazon Nova Canvas and Amazon Nova Reel.
Generative AI has emerged as a transformative force in content generation, driving significant improvements in productivity, time-to-market, and innovation acceleration. Advertising agencies and large brands with in-house creative teams can leverage GenAI to streamline campaign and content creation, enhance the briefing process, augment creativity, and maximize team productivity. AWS generative AI and machine learning (ML) services help organizations reimagine creativity and accelerate innovation so they can generate and test large volumes of creative variations much more quickly and comprehensively. This approach transforms advertising campaign development from inception to completion, providing a more efficient and dynamic creative process.
Begin your creative journey now – explore Amazon Nova through Nova.Amazon.com, Amazon Bedrock Chat and Text Playgrounds, or API integration.
For further reading, please refer to the following:
Shivam Patel is a Sr. Solutions Architect at AWS helping enterprises architect and implement cloud-native solutions. His core areas of focus are Migration & Modernization, Generative AI, and Cloud Operations/Cloud Governance. Outside of work, Shivam, is an avid food connoisseur, New York Yankees & New York Knicks fanatic, and globetrotter.
Satish is a Senior Technical Account Manager at AWS. He is passionate about customer success and technology. He loves working backwards by quickly understanding strategic customer objectives, aligning them to software capabilities and effectively driving customer success.
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