Zero-click search is changing how small brands show up online — and spend – Digiday

Hear from execs at The New York Times, Thomson Reuters, Trusted Media Brands and many others
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AI is on the cusp of upending the way people search and discover information online. For small to mid-sized brands, that means rethinking not just how they show up, but what teams (and what budgets) are responsible for the work.
Historically, paid search was a performance game, focused on keywords, page optimization and rankings. AI-powered search tools like ChatGPT and Google AI Overviews, however, have flipped the script. As people ask search engines conversational questions instead of keywords, the lines are blurring between search as a performance function and as an awareness channel, according to two marketing execs Digiday spoke with for this piece. 
“In my mind, the performance and brand world is really starting to intersect together and we have to start being more data-driven around: how is this meeting the overall goals of the business?” said Katya Constantine, CEO of performance marketing agency DigiShop Media. 
In other words, to appease the AI powers that be (a la the page crawlers that populate these AI engines), brands are prioritizing things like blogs, brand content and landing pages in addition to external brand narrative. For example, what gets picked up in a chatbot result could stem from a press mention or affiliate article.
Case in point: Tamara Rosenthal, vp of marketing at Taskrabbit, said press releases and content quoting execs have played a bigger role in having consumers discover the brand. Now, the online marketplace brand is optimizing announcements by ensuring content directly answers questions people may be asking AI chat bots and adding more detailed information to its existing content so it’s better understood by search tools. And that’s not just for traditional media pick-up, but also for how the brand may appear in AI summaries, AI chatbot tools to ensure “brand-aligned narratives surface,” Rosenthal said in an email to Digiday.
That takes the organic SEO strategy from a strictly performance-driven channel to a blend of performance and brand marketing as brands work to create a consistent narrative across search channels.
As the strategy shifts, expect dollars to follow soon. It’s too early for most brands to start allocating big chunks of their spend to SEO strategy, per the execs, especially as economic headwinds make marketing budgets more precious than ever. However, Tom Telford, chief digital officer at Clarity Global, a digital marketing and communications agency, said the agency has been nudging clients to connect the dots across performance and brand teams.
“It comes back to a joint objective between PR and marketing and then advertising, [because] everyone has to be trying to do the same thing,” he said.
Even if brand teams align their efforts, nailing down what’s actually working in AI-driven environments remains a challenge. For one, there’s the question of measurement and attribution.
Attribution has already been a point of contention for marketers operating in an increasingly fragmented marketplace. AI has only made for another stumbling block, said brand marketers like Bryan Demaranville, CEO of Melinda Maria, an L.A.-based jewelry brand.
“We’ve seen products rise and whether we attribute it to traditional SEO or whether we attribute it to the AI we don’t really know where it comes from,” he said. 
Welcome to the era of zero-click, in which users stop their search journey in Google AI Overviews or within AI-powered chatbots without clicking an external link to a product page or brand website. For brands, there’s been a trickle of traffic from ChatGPT, but the changes in how people search for information has made attribution that much harder. According to Jeffrey Lee, CEO and co-founder of DIBS beauty brand, an estimated .02% of the brand’s traffic is coming directly from ChatGPT.
That said, small to medium-sized businesses like Melinda Maria and DIBS beauty brand are continuing to invest in traditional SEO while treating AI as a test-and-learn sandbox. 
“First of all, there’s still room for SEO. It’s not mutually exclusive, how you approach ranking in a GEO [generative engine optimization] or an AEO [answer engine optimization],” said Lee, adding “We can only play the game that we know while constantly testing.”
It’s not that brands are sitting on their hands, but AI-powered search isn’t dealing a direct blow to advertisers in the same way that it is to publishers, who rely on web traffic for ad revenue. These businesses may lose some organic traffic, but the focus is shifting toward building an authoritative brand narrative in zero-click environments. In a world where it’s getting harder to drive clicks, digital teams are tasked with optimizing content across a variety of content types in hopes to show up in the AI answer box.
“We’re figuring this out as we go and none of the platforms are making it easy,” DigiShop Media’s Constantine said. “It’s all about consistency now.” 
Brands have previously tipped their toes into editorial by launching whole media publications — think MEL Magazine from Dollar Shave Club or Here Magazine from Away.
The creator economy is entering a new era of legitimacy and scale — signaling that investors see creators as full-fledged media worth betting on.
Consumers are more concerned about finding the best deal than they were a year ago, according to recent consumer surveys.
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Google AI for Learning, Shift to AI PCs, & Windows 11 Update: THE Journal News of the Week (8/1/25) – THE Journal: Technological Horizons in Education

In this episode of THE Journal Insider Podcast Shorts, Rhea Kelly highlights recent advancements in education technology. Key stories include Google’s new AI Mode features in Search designed for enhanced learning, Intel’s report on AI adoption shifting towards specialized AI PCs for better IT efficiency and security, and Microsoft’s updates for Windows 11 that reduce downtime and improve system recovery. Stay tuned for more insightful news in the world of education technology.
00:00 Introduction to THE Journal Insider Podcast Shorts
00:15 Google’s New AI Mode Features for Enhanced Learning
01:01 Intel Report: Shift Towards Specialized AI PCs
01:40 Microsoft’s Windows 11 Updates for Improved System Recovery
02:22 Conclusion and Further Resources
Source links:
THE Journal Insider Podcast Shorts are curated by humans and narrated by AI.

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Empower Your Business with New Local SEO Training – CENTRAL – NEWS CHANNEL NEBRASKA

Empower Your Business with New Local SEO Training  CENTRAL – NEWS CHANNEL NEBRASKA
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Apple's Latest Security Patch Fixes a Zero-Day Vulnerability Targeting Chrome – Lifehacker

Covering tech news, how-to guides, explainers, and more.
When Apple dropped iOS 18.6 this week, it didn’t ship a bunch of new features and changes. Indeed, when you update your iPhone, it’ll appear exactly as it did running iOS 18.5. Under the hood, however, the update introduced more than 20 patches for security vulnerabilities across iOS, making it an important security update for all compatible devices.
When Apple released its security notes for the update, it did not indicate whether any of the flaws were zero-days—in other words, whether any of the flaws had been exploited or publicly disclosed before a patch was readily available. That puts the user at an advantage, since it suggests bad actors haven’t figured out how to take advantage of any of the now-fixed flaws. However, as it turns out, one of these flaws was actively exploited—just not against an Apple product.
The vulnerability in question is tracked as CVE-2025-6558. Per Apple’s release notes, this is a flaw that could crash Safari when processing malicious web content. As Apple states, the vulnerability isn’t an iOS-specific flaw; rather, it’s a vulnerability in open source code, and Apple’s software is impacted.
While Apple says this vulnerability was not exploited against Apple software, at least at the time the release notes were published, one piece of software that appears to have been actively exploited using this flaw is Google Chrome. As reported by Bleeping Computer, CVE-2025-6558 can allow bad actors to run their own code within Chrome’s GPU process when visiting malicious websites. This could enable hackers to break into the operating system of the target’s machine. If you’re using an Apple product, that would mean iOS, macOS, iPadOS, tvOS, visionOS, or watchOS could be compromised from this attack. (Apple released security updates for all of these OSes, respectively.)
The flaw is serious business: The Cybersecurity and Infrastructure Security Agency (CISA) listed this flaw among its Known Exploited Vulnerabilities Catalog, and now requires federal agencies to update their software by Aug. 12.
To make sure you protect your devices from this vulnerability, you’ll want to update all affected hardware and software. That means you’ll want to update any Apple devices to iOS 18.6, and if you use Chrome or a Chromium-based browser (like Microsoft Edge or Opera) you’ll want to update it to the latest version.
You can typically install Apple updates, such as on an iPhone, from Settings > General > Software Update. On Chrome, click the three dots in the top right, then go to Help > About Google Chrome.
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Infinite Ace Celebrates 7 Year Anniversary, Launches as a New AI SEO Agency in Australia – The Manila Times

Infinite Ace Marks a Milestone with a New Direction in AI SEO Melbourne, Victoria , Aug. 04, 2025 (GLOBE NEWSWIRE) — Infinite Ace, a renowned search engine marketing agency based in Melbourne, Australia, is proud to announce its 7th anniversary. Over the past seven years, Infinite Ace has established itself as a leader in driving online traffic and inquiries for service businesses across various industries, including health, trades, beauty, logistics, music, law, and security. AI SEO services by Infinite Ace, based in Melbourne, Australia In celebration of this significant milestone, Infinite Ace is excited to unveil its new identity as an AI SEO agency in Australia. This strategic transformation underscores the company's commitment to staying at the forefront of digital marketing innovation. By integrating advanced AI technologies, Infinite Ace aims to enhance its service offerings, providing clients with cutting-edge solutions to achieve their online marketing goals. “Our transition into an AI SEO agency marks a new chapter for Infinite Ace,” said Yos William, Director of Infinite Ace. “We're here to use AI to get better results for our clients. It's part of how we keep improving and staying sharp in digital marketing.” Infinite Ace's expertise in search engine marketing has been instrumental in helping service businesses increase their online visibility and convert traffic into tangible business outcomes. The company's tailored approach ensures that each client receives a customized plan that aligns with their unique marketing objectives. As Infinite Ace embarks on this new journey, the agency remains steadfast in its mission to empower service businesses with the tools and strategies needed to thrive in an increasingly competitive digital environment. By adopting AI-driven SEO techniques, Infinite Ace aims to improve client results and stay responsive to changes in the online marketplace. For more information about Infinite Ace's new AI SEO services and how they can benefit your business, please visit their website or contact their team of experts. About Infinite Ace Infinite Ace is a search engine marketing agency based in Melbourne, Australia. Our company specialises in helping service businesses more clients by bringing online traffic and enquiries from Google and LLMs such as ChatGPT, Gemini, Perplexity, and more. We have extensive experience with clients in the service industries such as health, trades, beauty, logistics, music, law, and security. We offer our clients online visibility and help to translate that into enquiries and revenue for the business. Each client is offered a “tailored”​ plan to meet their online marketing goals as we understand that one strategy may not fit for all.  Press inquiries Infinite Ace https://www.infiniteace.com/ Yos William [email protected] 03 9043 4444 225 Elizabeth St, Melbourne VIC 3000 Australia

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How To Win In Generative Engine Optimization (GEO) – Search Engine Journal

Download your cheat sheet and checklist to start building content that works harder.
Walk away with a clear understanding of how AI search advancements affect performance, investment decisions, and internal capabilities.
You’ll learn why traditional SEO tactics still matter, how query fanout shapes which documents are selected, and what makes content truly quotable.
This webinar challenges the “set it and forget it” myth that’s costing brands thousands, and reveals how smarter prompting and strategic oversight can transform your campaigns.
Walk away with a clear understanding of how AI search advancements affect performance, investment decisions, and internal capabilities.
Your Competitors Have Already Started
Want your content to appear in AI Overviews, ChatGPT, and Gemini? Here’s how to set up your GEO campaigns.
This post was sponsored by Peec AI. The opinions expressed in this article are the sponsor’s own.
The first step of any good GEO campaign is creating something that LLM-driven answer machines actually want to link out to or reference.
Think of experiences you wouldn’t reasonably expect to find directly in ChatGPT or similar systems:
LLMs cannot have first-hand experience. But users want it. LLMs are incentivized to reference sources that provide first-hand experience. That’s just one of the things to keep in mind, but what else?
We need to differentiate between two approaches: influencing foundational models versus influencing LLM answers through grounding. The first is largely out of reach for most creators, while the second offers real opportunities.
Foundational models are trained on fixed datasets and can’t learn new information after training. For current models like GPT-4, it is too late – they’ve already been trained.
But this matters for the future: imagine a smart fridge stuck with o4-mini from 2025 that might – hypothetically – favor Coke over Pepsi. That bias could influence purchasing decisions for years!
When LLMs can’t answer from their training data alone, they use retrieval augmented generation (RAG) – pulling in current information to help generate answers. AI Overviews and ChatGPT’s web search work this way.
As SEO professionals, we want three things:
Don’t worry, it doesn’t take rocket science to optimize your content and brand mentions for LLMs. Actually, plenty of traditional SEO methods still apply, with a few new SEO tactics you can incorporate into your workflow.
Sounds simple but it is actually an important first step. If you aim for maximum visibility in LLMs, you need to allow them to crawl your website. There are many different LLM crawlers from OpenAI, Anthropic & Co.
Some of them behave so badly that they can trigger scraping and DDoS preventions. If you are automatically blocking aggressive bots, check in with your IT team and find a way to not block LLMs you care about.
If you use a CDN, like Fastly or Cloudflare, make sure LLM crawlers are not blocked by default settings.
The most important GEO tactic is as simple as it sounds. Do traditional SEO. Rank well in Google (for Gemini and AI Overviews), Bing (for ChatGPT and Copilot), Brave (for Claude), and Baidu (for DeepSeek).
The current generation of LLMs actually does a little more than simple RAG. They generate multiple queries. This is called query fanout.
For example, when I recently asked ChatGPT “What is the latest Google patent discussed by SEOs?”, it performed two web searches for “latest Google patent discussed by SEOs patent 2025 SEO forum” and “latest Google patent SEOs 2025 discussed”.
Advice: Check the typical query fanouts for your prompts and try to rank for those keywords as well.
Typical fanout-patterns I see in ChatGPT are appending the term “forums” when I ask what people are discussing and appending “interview” when I ask questions related to a person. The current year (2025) is often added as well.
Beware: fanout patterns differ between LLMs and can change over time. Patterns we see today may not be relevant anymore in 12 months.
This is something simple everyone should do – both as a person and an enterprise. Make sure you are consistently described online. On X, LinkedIn, your own website, Crunchbase, Github – always describe yourself the same way.
If your X and LinkedIn profiles say you are a “GEO consultant for small businesses”, don’t change it to “AIO expert” on Github and “LLMO Freelancer” in your press releases.
I have seen people achieve positive results within a few days on ChatGPT and Google AI Overviews by simply having a consistent self description across the web. This also applies to PR coverage – the more and better coverage you can obtain for your brand, the more likely LLMs are to parrot it back to users.
As an SEO, I always ask for as little JavaScript usage as possible. As a GEO, I demand it!
Most LLM crawlers cannot render JavaScript. If your main content is hidden behind JavaScript, you are out.
Unsurprisingly, LLMs seem to rely on reddit and Wikipedia a lot. Both platforms offer user-generated-content on virtually every topic. And thanks to multiple layers of community-driven moderation, a lot of junk and spam is already filtered out.
While both can be gamed, the average reliability of their content is still far better than on the internet as a whole. Both are also regularly updated.
reddit also provides LLM labs with data into how people discuss topics online, what language they use to describe different concepts, and knowledge on obscure niche topics.
We can reasonably assume that moderated UGC found on platforms like reddit, Wikipedia, Quora, and Stackoverflow will stay relevant for LLMs.
I do not advocate spamming these platforms. However, if you can influence how you and competitors show up there, you might want to do so.
Write content that LLMs understand and want to cite. No one has figured this one out perfectly yet, but here’s what seems to work:
If we look at GEO: Generative Engine Optimization (arXiv:2311.09735) , What Evidence Do Language Models Find Convincing? (arXiv:2402.11782v1), and similar scientific studies, the answer is clear. It depends!
To be cited for some topics in some LLMs, it helps to:
However, for other combinations of topics and LLMs, these measures can be counterproductive.
Until broadly accepted best practices evolve, the only advice I can give is do what is good for users and run experiments.
For over a decade, algorithms have extracted knowledge from text as triples like (Subject, Predicate, Object) — e.g., (Lady Liberty, Location, New York). A text that contradicts known facts may seem untrustworthy. A text that aligns with consensus but adds unique facts is ideal for LLMs and knowledge graphs.
So stick to the established facts. And add unique information.
Everything discussed here is not just true for your own website. It is also true for content on other websites. The best way to influence it? Digital PR!
The more and better coverage you can obtain for your brand, the more likely LLMs are to parrot it back to users.
I have even seen cases where advertorials were used as sources!
Before I joined Peec AI, I was a customer. Here is how I used the tool – and how I advise our customers to use it.
Just like with traditional SEO, using a good GEO tool will often reveal unexpected competitors. Regularly look at a list of automatically identified competitors. For those who surprise you, check in which prompts they are mentioned. Then check the sources that led to their inclusion. Are you represented properly in these sources? If not, act!
Is a competitor referenced because of their PeerSpot profile but you have zero reviews there? Ask customers for a review.
Was your competitor’s CEO interviewed by a Youtuber? Try to get on that show as well. Or publish your own videos targeting similar keywords.
Is your competitor regularly featured on top 10 lists where you never make it to the top 5? Offer the publisher who created the list an affiliate deal they cannot decline. With the next content update, you’re almost guaranteed to be the new number one.
When performing search grounding, LLMs rely on sources.
Typical LLM Sources: Reddit & Wikipedia
Look at the top sources for a large set of relevant prompts. Ignore your own website and your competitors for a second. You might find some of these:
You can also check out this in-depth guide on how to deal with different kinds of source domains.
Once you have observed which searches are triggered by query fanout for your most relevant prompts, create content to target them.
On your own website. With posts on Medium and LinkedIn. With press releases. Or simply by paying for article placements. If it ranks well in search engines, it has a chance to be cited by LLM-based answer engines.
Generative Engine Optimization is no longer optional – it’s the new frontline of organic growth. At Peec AI, we’re building the tools to track, influence, and win in this new ecosystem.
Generative Engine Optimization is no longer optional – it’s the new frontline of organic growth. We currently see clients growing their LLM traffic by 100% every 2 to 3 months. Sometimes with up to 20x the conversation rate of typical SEO traffic!
Whether you’re shaping AI answers, monitoring brand mentions, or pushing for source visibility, now is the time to act. The LLMs consumers will trust tomorrow are being trained today.
Image Credits
Featured Image: Image by Peec AI Used with permission.
In-Post Images: Images by Peec AI Used with permission.
Malte Landwehr is the CMO at Peec AI, a leading AI search analytics solution. Before joining Peec, he was VP …
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Unlock the Audiobook Goldmine: How AI is Democratizing Audio Content Creation (And How You Can Benefit) – Vocal

Unlock the Audiobook Goldmine: How AI is Democratizing Audio Content Creation (And How You Can Benefit)  Vocal
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