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Similarweb Launches Similarweb AI Agents

Similarweb Launches Similarweb AI Agents

Martechvibe3 days ago

Each AI agent supports specific tasks like SEO, content planning, sales outreach, or trend analysis by efficiently processing and summarising large volumes of data to improve performance and speed. Staff Writer less than a minute ago
Similarweb, the AI-powered digital intelligence platform, has announced the launch of Similarweb AI Agents . This suite of digital AI experts lets businesses transform how they analyse SEO trends, engage customers, and execute strategies.
Unlike generic AI assistants, Similarweb's agents are tools built for distinct business functions. They're trained on extensive, up-to-date digital data—100 million websites, 4 million apps, 5 billion search keywords, and 20 million companies.
Each agent supports specific tasks like SEO, content planning, sales outreach, or trend analysis by efficiently processing and summarising large volumes of data to improve performance and speed.
By automating time-consuming tasks, Similarweb AI Agents aim to support sales, marketing, investment, and analytics teams—helping them complete work faster and more effectively than before.
ALSO READ: Similarweb Launches Shopper Intelligence to Understand Digital Consumer Behaviour
'We're not launching another chatbot, we're launching an AI dream team,' said Or Offer, CEO of Similarweb.
'Our AI Agents combine deep market expertise with unmatched data to deliver the actionable insight today's businesses demand with the speed they need. The newest suite of agents we're launching today is just the beginning.'
Similarweb's AI Agents AI SEO Strategy Agent builds actionable, topic-level SEO content strategies using real user search data. It analyses the competitive landscape in real time to spot high-impact content opportunities.
AI Trend Analyser tracks sudden spikes in search demand by examining keyword volume trends, helping to understand whether they stem from campaigns or external news events.
AI Meeting Prep Agent delivers detailed company and contact briefs. It combines Similarweb Digital Intelligence, live CRM insights, website crawlers, and real-time web signals to create a strategic one-page meeting brief that cuts preparation time.
AI Outreach Agent, already launched as SAM (Sales AI Module), automates and optimises sales outreach. It crafts data-driven, customisable sales messages for email and channels like LinkedIn to improve deal wins and upsells.
In each case, the agents eliminate the manual work of querying multiple Similarweb systems and analysing charts, graphs, and spreadsheets of data – the agents do that work and deliver the results.
ALSO READ: Similarweb Digital Intelligence Now Available in AWS Data Exchange
The Martechvibe team works with a staff of in-house writers and industry experts.
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Magnolia is a composable DXP that comes with no-code connector packs and low-code micro-frameworks for third-party integrations. It also offers an open-source version alongside its commercial plans enabling enterprises to build tailored use cases.
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Liferay DXP helps marketers deliver personalised and connected digital experiences across a broad range of channels, including customer portals, websites, intranets, mobile apps, and connected devices. It offers intuitive CMS, user analytics, and site management tools that businesses need to launch, test and optimise digital experiences for faster go-to-market.
VISIT WEBSITE
Powered by IBM Consulting, IBM iX offers a composable DXP, providing a comprehensive solution to make enterprises' systems future-ready. Utilising its data-driven insights and intelligent workflows, marketers can design and deliver human-centred experiences across the customer lifecycle.
VISIT WEBSITE
HCL Digital Experience (DX), forms part of a wider HCL Customer Experience (CX) product portfolio, offering core capabilities such as content management, DAM, CDP called Signals, and low-code application development. It provides services in government, life sciences, insurance, financial services, and other verticals.
VISIT WEBSITE
Contentstack is a headless CMS and Composable Digital Experience Platform (DXP) solution provider that helps marketers gain a competitive edge. It recently launched into Google Cloud Marketplace, and is also available on Microsoft Azure and AWS. It seamlessly enables mid-market brands to adopt its omnichannel campaign engine to drive higher conversions and sales.
VISIT WEBSITE
Bloomreach Commerce Experience Cloud provides businesses an edge with its modular capabilities: Content Management System (CMS), Discovery features for search and merchandising optimisation, and Engagement tools such as Customer Data Platforms (CDP) for personalisation and analytics.
VISIT WEBSITE
Adobe Experience Cloud offers a comprehensive set of services specifically designed to address the day-to-day requirements for personalised customer experience at scale. Its platform helps manage different digital content and assets to improve customer satisfaction. Some of its products include Adobe Gen Studio, Experience Manager Sites, Real-time CDP, and Marketo Engage.
VISIT WEBSITE
Acquia offers DXP solutions, comprising of two main elements: Acquia Drupal Cloud and Acquia Marketing Cloud. It can be accessed in both platform-as-a-service (PaaS) and software-as-a-service (SaaS) with additional components such as Site Factory for multisite management, digital asset management (DAM), CDP, personalisation, and Campaign Studio.
VISIT WEBSITE

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Can Ethical AI Be More Than a Talking Point?
Can Ethical AI Be More Than a Talking Point?

TECHx

timean hour ago

  • TECHx

Can Ethical AI Be More Than a Talking Point?

Home » Editor's pick » Can Ethical AI Be More Than a Talking Point? Ethical AI is moving from talk to action as global laws, pledges, and accountability measures reshape how technology is built and deployed. AI is everywhere in 2025. It writes, designs, predicts, diagnoses, recommends, and increasingly, governs. From smart cities to courtrooms, its decisions are shaping our lives. But as AI grows more powerful, one question gets louder: Are we building it responsibly? Or are we just saying the right things? This month, the European Union made headlines with the passage of the AI Act, the first major attempt to regulate AI at scale. This sweeping law bans certain uses of AI, such as real-time facial recognition in public spaces and social scoring systems. It also imposes strict rules on high-risk applications like biometric surveillance, recruitment tools, and credit scoring. Why does this matter? Because it signals that AI governance is moving from voluntary ethics to enforceable law. The EU has set a precedent others may follow, much like it did with GDPR for data privacy. But here's the catch: regulation is only as effective as its enforcement. Without clear oversight and penalties, even the best laws can fall short. Europe's AI Act is a strong start, but the world is watching how it will be applied. Across the Atlantic, the United States is facing growing pressure to catch up. In May 2025, Congress held a new round of hearings with major AI players like OpenAI, Meta, Google DeepMind, and Anthropic. Lawmakers are calling for clear standards and transparency. Several of these companies have signed voluntary AI safety pledges, promising to develop systems responsibly. Meanwhile, South Korea is exploring a different path. Officials are developing an AI Ethics Certification, a system that would allow companies to prove that their models are fair, transparent, and safe. This is a smart move. Turning ethics into something measurable and certifiable could help bridge the gap between values and verification. However, the success of this initiative depends on how independent, transparent, and rigorous the certification process is. Principles Are Easy. Proof Is Hard. It's worth noting that almost every major AI company today has published a set of ethical principles. Words like trust , safety , accountability , and fairness appear prominently in blog posts and mission statements. But dig deeper and you'll find the real challenge: How are these principles enforced internally? Are external audits allowed? Are impact assessments made public? Is there a clear process to test and mitigate bias? When AI Ethics Fails We've already seen what happens when AI is built without enough attention to fairness or inclusivity. In 2023, a widely used hospital AI system in the U.S. was found to recommend fewer treatment options to Black patients. The cause? Biased training data that didn't account for structural inequalities in healthcare. In 2024, generative AI tools sparked criticism for gender and racial bias. When users searched for terms like 'CEO' or 'doctor,' the images generated were overwhelmingly of white men, despite the global diversity of those professions. These are not one-off glitches. They are symptoms of a deeper issue: AI systems trained on biased data will replicate, and even amplify, that bias at scale. That's why ethics can't be a box to check after a product launches. It must be embedded from the start. A New Ethical Frontier: The UAE Leads in the Middle East Encouragingly, ethical AI leadership is emerging from regions not traditionally known for tech regulation. The United Arab Emirates is one of them. The UAE's National AI Strategy 2031 places a strong emphasis on fairness, transparency, and inclusivity. This isn't just talk. Institutions like the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) are actively training a new generation of AI researchers with governance and ethics embedded in their education. This is a critical development. It shows that countries outside the usual power centers, like the U.S. and EU, can shape global norms. The UAE isn't just importing AI innovation; it's helping design how AI should be governed. Platforms for Global Dialogue Major events like AI Everything and GITEX GLOBAL, hosted in Dubai, are also evolving. They're no longer just product showcases. They now bring together global experts, policymakers, and ethicists to discuss responsible AI practices, risks, and solutions. These events are important, not only because they give emerging markets a voice in the AI ethics debate, but because they encourage cross-border collaboration. And that's exactly what AI governance needs. Why? Because AI systems don't stop at national borders. Facial recognition, large language models, predictive analytics, they all operate across regions. If we don't align on ethics globally, we risk creating fragmented systems with uneven protections. What Needs to Happen Now It's clear that we're moving in the right direction, but not fast enough. What's missing is the bridge between principles and practice. We need: Not just values, but verification. Not just pledges, but clear policies. Not just intentions, but independent audits. Ethics should be baked into the AI lifecycle, from design to deployment. That means testing for bias before the model goes live, ensuring transparency in how decisions are made, and creating clear channels for redress when systems fail. AI governance shouldn't slow innovation. It should guide it. The pace of AI innovation is staggering. Every week brings new tools, new capabilities, and new risks. But alongside that speed is an opportunity: to define the kind of AI future we want. In 2025, ethical AI should not be a trending topic or a marketing slogan. It must be the foundation, the baseline. Because when technology makes decisions about people, those decisions must reflect human values, not just machine logic. By Rabab Zehra, Executive Editor at TECHx.

Google antitrust case: AI takes centre stage in closing arguments
Google antitrust case: AI takes centre stage in closing arguments

The National

time19 hours ago

  • The National

Google antitrust case: AI takes centre stage in closing arguments

During closing arguments in the penalty portion of the Google antitrust trial on Friday, the judge asked a question about the fast-moving tech world that will likely give pause to legal and business experts. Federal Judge Amit Mehta, who last year found Alphabet-owned Google liable for maintaining a monopoly and exploiting its search sector dominance, wanted to know how search will evolve as he decides the "remedies", or punishment, for Google. 'Does the government believe there's a market for a new search engine to emerge as we think of it today, even with the remedies in place?' he said, interrupting Department of Justice (DOJ) lawyer David Dahlquist's closing arguments. Mr Mehta was referring to artificial intelligence. He implied that as he decides how to correct Google's monopoly, he needs to consider how quickly the tech landscape is shifting. The DOJ's antitrust case against Google is testing the limits of capitalism, profit and competition. It comes as artificial intelligence threatens to upend the internet search business models that allowed Google to dominate for decades. Almost all witnesses who spoke at the remedy portion of the trial seemed to acknowledge the speed of change in the tech world. The potency, promise and problems of AI in the context of existing business models surfaced several weeks ago when Apple executive Eddy Cue made comments from the witness box that briefly sent Google's stock careening. Mr Cue was responding to a question about user habits and the effect that AI is starting to have on search engine companies like Google. Eventually, his comments segued into a reflection of how technology businesses often struggle to adjust. 'People still are going to need toothpaste 20 years from now, 40 years from now. You may not need an iPhone 10 years from now. As crazy as that sounds,' Mr Cue, the senior vice president of services at Apple, told a lawyer representing Alphabet, owner of Google. 'You have to earn it. You have to develop,' he added, explaining that Apple's metrics showed that for the first time ever, overall searches done through Google seemed to have made a slight dip. Those comments reverberated throughout tech and legal communities, with some wondering if a remedy sought by the DOJ might be rendered moot by AI. How people search is changing, as AI swallows up website content and siphons off traffic. Mr Mehta last month sided with the DOJ and ruled that Google's search dominance harmed consumers with less choice. The Justice Department wants Mr Mehta to enact far-reaching penalties that would serve as a warning at other companies. In court on Friday, Mr Dahlquist, the government lawyer, reiterated the DOJ's desire that Google be prohibited from entering into default search agreements with hardware and device makers. He also pushed for strong requirements for Google to share search data and analytics with competitors, Perhaps most consequentially, he said Mr Mehta should require that Google divest Chrome, one of the world's most popular web browsers. 'We're here to make sure this cause and the remedies we propose are able to pry open the competition of this market,' Mr Dahlquist argued. 'We understood the assignment, but rather than provide this court with remedies to promote competition, Google provided milquetoast remedies that maintain status quo,' he continued, adding that Google was acting in bad faith to try to maintain its monopoly. 'Despite Google's efforts to avoid facts, those facts, as they've discovered, are stubborn things,' he added, taking a shot at the one of the world's most powerful tech companies and its phalanx of lawyers, sitting nearby. Google's lawyer, John Schmidtlein, didn't mince words in his response. 'Look at how incredibly invasive and broad they are,' he said, referring to the DOJ's remedies that Google believes 'lack causal connection' to its original motives for bringing the company to court. 'What's the amount of data that a company might need to be able to compete?' he rhetorically asked, criticising one of the DOJ's proposed remedies that Google share search data with potential competitors. Mr Mehta pushed back, saying that ample witnesses told the court that data would help increase their ability to compete, adding that it would be a 'difficult exercise' to try to address Google's criticism of the search data remedy proposal. He also asked the DOJ if AI platforms ChatGPT or Perplexity might be eligible to receive data. 'Not today, but it could eventually,' a DOJ lawyer responded. 'They eventually plan to compete with search companies and search indexes.' Just before the court broke for lunch on Friday, a senior Justice Department official told reporters that the DOJ was pleased with how the process was unfolding, even amid all the scrutiny from Google. 'Look this is a market that's been frozen in place for the better part of two decades," the official said. 'It's going to take a long time to restore competition in the search market.' That senior official also spoke to how the DOJ was trying to factor in fast-changing tech developments going forward as well as the current industry landscape. 'We don't know in the year 2035 what that's going to look like, the judge doesn't know and frankly not even Google knows,' the official explained, pivoting to issue of search data. 'So the game is, how, from a remedial standpoint how do we ensure effective remedies and that's very much about access to search data today and going forward.' Google's own proposed remedies are far lighter than those sought by the DOJ, including a solution that would give users the ability to change their default search provider at least every 12 months. The tech giant has also sought to maintain its ability to have contracts with device manufacturers. 'Browser companies like Apple and Mozilla should continue to have the freedom to do deals with whatever search engine they think is best for their users,' Google said. In late April, Google's chief executive Sundar Pichai made similar arguments to the court, calling proposed remedies 'too broad', and suggesting that fast-pace AI developments would blunt the DOJ's proposals. 'It would be trivial to reverse engineer and effectively build Google search from the outside,' Mr Pichai added. Closing arguments were expected to last throughout the day before Mr Mehta deliberates on a potential remedy.

Google antitrust case: Judge weighs remedy effectiveness against fast-moving AI developments
Google antitrust case: Judge weighs remedy effectiveness against fast-moving AI developments

The National

timea day ago

  • The National

Google antitrust case: Judge weighs remedy effectiveness against fast-moving AI developments

During closing arguments in the penalty portion of the Google antitrust trial on Friday, the judge asked a question about the fast-moving tech world that will likely give pause to legal and business experts. Federal Judge Amit Mehta, who last year found Alphabet-owned Google liable for maintaining a monopoly and exploiting its search sector dominance, wanted to know how search will evolve as he decides the "remedies", or punishment, for Google. 'Does the government believe there's a market for a new search engine to emerge as we think of it today, even with the remedies in place?' he said, interrupting Department of Justice (DOJ) lawyer David Dahlquist's closing arguments. Mr Mehta was referring to artificial intelligence. He implied that as he decides how to correct Google's monopoly, he needs to consider how quickly the tech landscape is shifting. The DOJ's antitrust case against Google is testing the limits of capitalism, profit and competition. It comes as artificial intelligence threatens to upend the internet search business models that allowed Google to dominate for decades. Almost all witnesses who spoke at the remedy portion of the trial seemed to acknowledge the speed of change in the tech world. The potency, promise and problems of AI in the context of existing business models surfaced several weeks ago when Apple executive Eddy Cue made comments from the witness box that briefly sent Google's stock careening. Mr Cue was responding to a question about user habits and the effect that AI is starting to have on search engine companies like Google. Eventually, his comments segued into a reflection of how technology businesses often struggle to adjust. 'People still are going to need toothpaste 20 years from now, 40 years from now. You may not need an iPhone 10 years from now. As crazy as that sounds,' Mr Cue, the senior vice president of services at Apple, told a lawyer representing Alphabet, owner of Google. 'You have to earn it. You have to develop,' he added, explaining that Apple's metrics showed that for the first time ever, overall searches done through Google seemed to have made a slight dip. Those comments reverberated throughout tech and legal communities, with some wondering if a remedy sought by the DOJ might be rendered moot by AI. How people search is changing, as AI swallows up website content and siphons off traffic. Mr Mehta last month sided with the DOJ and ruled that Google's search dominance harmed consumers with less choice. The Justice Department wants Mr Mehta to enact far-reaching penalties that would serve as a warning at other companies. In court on Friday, Mr Dahlquist, the government lawyer, reiterated the DOJ's desire that Google be prohibited from entering into default search agreements with hardware and device makers. He also pushed for strong requirements for Google to share search data and analytics with competitors, Perhaps most consequentially, he said Mr Mehta should require that Google divest Chrome, one of the world's most popular web browsers. 'We're here to make sure this cause and the remedies we propose are able to pry open the competition of this market,' Mr Dahlquist argued. 'We understood the assignment, but rather than provide this court with remedies to promote competition, Google provided milquetoast remedies that maintain status quo,' he continued, adding that Google was acting in bad faith to try to maintain its monopoly. 'Despite Google's efforts to avoid facts, those facts, as they've discovered, are stubborn things,' he added, taking a shot at the one of the world's most powerful tech companies and its phalanx of lawyers, sitting nearby. Google's lawyer, John Schmidtlein, didn't mince words in his response. 'Look at how incredibly invasive and broad they are,' he said, referring to the DOJ's remedies that Google believes 'lack causal connection' to its original motives for bringing the company to court. 'What's the amount of data that a company might need to be able to compete?' he rhetorically asked, criticising one of the DOJ's proposed remedies that Google share search data with potential competitors. Mr Mehta pushed back, saying that ample witnesses told the court that data would help increase their ability to compete, adding that it would be a 'difficult exercise' to try to address Google's criticism of the search data remedy proposal. He also asked the DOJ if AI platforms ChatGPT or Perplexity might be eligible to receive data. 'Not today, but it could eventually,' a DOJ lawyer responded. 'They eventually plan to compete with search companies and search indexes.' Google's own proposed remedies are far lighter than those sought by the DOJ, including a solution that would give users the ability to change their default search provider at least every 12 months. The tech giant has also sought to maintain its ability to have contracts with device manufacturers. 'Browser companies like Apple and Mozilla should continue to have the freedom to do deals with whatever search engine they think is best for their users,' Google said. In late April, Google's chief executive Sundar Pichai made similar arguments to the court, calling proposed remedies 'too broad', and suggesting that fast-pace AI developments would blunt the DOJ's proposals. 'It would be trivial to reverse engineer and effectively build Google search from the outside,' Mr Pichai added. Closing arguments were expected to last throughout the day before Mr Mehta deliberates on a potential remedy.

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