SEO Tools and Resources

Why this matters now Marketing budgets in 2025 have stayed the same, yet expectations keep rising. CMOs report budgets stuck at roughly 7.7% of company revenue, which means teams are expected to do more with the same dollars. In that context, the most practical use of AI is not a moonshot, but a set of clear fixes to everyday bottlenecks that slow teams down and drive costs up. This article breaks down four problems that marketers face right now and how AI is already solving them. The difference today is that Artlist AI, including image, video and voice generators, turns AI from a novelty into a reliable production system. When you use AI to streamline your workflo…

Pages that rank for Google’s AI Overview “fan-out” queries are much more likely to be cited than those that rank only for the main search query, according to data from Surfer SEO. An analysis of 10,000 keywords found a strong correlation (Spearman 0.77) between how many fan-out queries a page ranks for and its likelihood of being cited in Google’s AI Overviews. By the numbers. Pages ranking for fan-out queries are 161% more likely to be cited than pages ranking only for the main query. Also: 76% of the sampled keywords triggered AI Overviews. 33,000 fan-out queries were extracted using Gemini. Pages ranking for both the main query and at least one fan-…

Google Ads is rolling out new location targeting options for Demand Gen campaigns, bringing them in line with controls already available in Search. What’s new. Advertisers can now explicitly choose between Presence or interest and Presence only when setting up Demand Gen campaigns. The option is available directly in the campaign interface, eliminating the need for manual exclusions. Why we care. Until now, advertisers running Demand Gen had limited precision over geo-targeting. By making “presence only” targeting native to the campaign setup, Google removes a common workaround and the risk of accidental geo-leakage. The result is cleaner traffic, more accurat…

Generative AI is everywhere right now. It dominates conference agendas, fills LinkedIn feeds, and is reshaping how many businesses think about organic search. Brands are racing to optimize for AI Overviews, build vector embeddings, map semantic clusters, and rework content models around LLMs. What gets far less attention is a basic reality: for most websites, AI platforms still drive a small share of overall traffic. AI search is growing, no question. But in most cases, total referral sessions from all LLM platforms combined amount to only about 2% to 3% of the organic traffic Google alone delivers. Despite that gap, many teams are spending more …

The third and likely final core update of 2025, the December 2025 core update, is now rolling out and complete. It started on December 11, 2025 and was completed about 18 days and 2 hours later on December 29, 2025. Google called this update “a regular update designed to better surface relevant, satisfying content for searchers from all types of sites.” This December 2025 core update came after waiting five months since the previous core update, the June 2025 core update. That June update came a few months after Google’s first core update on the 2025 year, the March 2025 core update. In the coming days we will gather data on the impact of this update and share …

Remember when link building was all the rage in SEO? While it never disappeared, its role evolved as Google introduced clearer guidelines and placed greater emphasis on quality, relevance, and intent. Today, as AI search reshapes the organic landscape, link building has shifted into a closely related – and increasingly prioritized – initiative: brand mentions. You might think of brand mentions as “citations,” but in the context of AI search, citations describe how brands are referenced by LLMs. Brand mentions are the input that leads to those citations. To avoid confusion, this article uses brand mentions to describe the tactic itself. Beyond their r…

LinkedIn targeting in Microsoft Advertising exists to help brands message-map their best creative with the ideal audience. When approached thoughtfully, it allows you to apply professional understanding to intent‑driven inventory without breaking the bank. The key is knowing how the targeting methods work together across the various campaign types. What follows is a practical guide to using LinkedIn data inside Microsoft Advertising, including: LinkedIn in Search campaigns (includes Multimedia ads). Using LinkedIn insights to inform broader audience strategy. Performance Max targeting signals. Directional insights into audience reach and composi…

TikTok has moved well beyond its roots as a short-form video app. It now serves as a search destination where people turn for answers, ideas, and products. Creator Search Insights gives creators and brands a window into that behavior – highlighting trending queries, underserved topics, and real audience interests. And the data backs up this shift: two-thirds of U.S. consumers use at least one social network for search, nearly half use several, and four of the top seven search platforms – YouTube, Facebook, Instagram, and TikTok – are social. What TikTok’s Creator Search Insights can do for you TikTok’s Creator Search Insights tool gives creators visi…

Every few months, Google launches a new feature – and reactions usually split into two extremes: either it’s a welcome but overdue correction or a sign of PPC end times. AI Max is no exception. Some advertisers love what it represents and how it’s delivered, while others are ready to dismiss it altogether. As with most things, the reality falls somewhere in between. Instead of speculating on what-ifs, I’ll share what I’ve seen after testing AI Max for 30+ days across multiple accounts. Google’s new AI Max feature explained AI Max is an optional toggle for your Search campaigns that opens you up to what Google calls “the full potential of Google Search.” …

The history of search offers clues about where we’re headed in the AI era – but there’s more to learn and more to do to move forward with practical steps. AI changes the way people search. Instead of short queries that once required digging through blended results, users can now ask complex questions and get direct answers. Much of the work to optimize for AI, though, overlaps with what SEO professionals have been doing for years. Our community is already adapting and well-positioned to take on this shift. This article outlines practical steps to navigate the evolving landscape. SEO, AEO, GEO: Defining the new terms Before diving in, it’s worth addressi…

Google is piloting a Labs section inside the Google Ads platform, giving advertisers a centralized place to access early-stage experiments and tools. Why we care. Instead of quietly testing features across scattered accounts, Google appears to be consolidating experiments into a single hub, making it easier for advertisers to discover and try new features before full rollout. Details. The Labs section shows up at the bottom of the left-hand menu in select accounts. Early tests include features like “missed growth opportunities,” which highlight potential campaign improvements through bid or budget adjustments. Not all advertisers will have access to it.…

New asset and channel reporting improvements are rolling out to Google Ads Performance Max. This update should make it easier to optimize budgets, identify underperforming elements, and maximize ROI across Google’s full network – Search, Display, Discover, Gmail, YouTube, and Maps. Why we care. These updates make Performance Max feel a lot less like a black box. You should get a clearer view of what’s actually driving results. With new segmentation options and ROI metrics, it’s easier to see how different assets and channels impact conversions, costs, and returns. Asset reporting segmentation. You can now break down asset performance by device, time, conversions, …

Meta will soon begin factoring in how people interact with its generative AI tools to personalize the content and ads they see across Facebook, Instagram, and other platforms. More than 1 billion people use Meta AI monthly, according to their internal data. By turning AI chats and prompts into signals, Meta is making its recommendation engine more data-rich, potentially boosting ad relevance for brands and personalization for users. Why we care. By adding this new signal to it’s recommendations engine, this could reveal real-time interest and intent, making ad targeting sharper and potentially more effective. By tapping into these AI-driven signals, brands can rea…

Brand performance in generative search relies on measurable reputation and entity signals. But those signals are only as good as the infrastructure machines can fetch, parse, and trust. Treat the website, feeds, and APIs as brand training data. Pair technical governance with brand strategy to stop narrative drift and preserve brand equity. Search and brand are one system now, bridging the gap between intent and machine narration. “Google doesn’t just index your pages – it indexes your reputation.” – Jono Alderson That only happens when the site’s performance, semantics, and integrity make the brand easy to select. Machines prefer brands they can read c…

The search landscape is changing. With the rapid evolution of AI, the Google SERP is no longer a predictable grid of 10 blue links. This shift presents new opportunities for businesses, but it also creates new risks for your brand. Competitors, affiliates, and bad actors can now use sophisticated tactics to hijack your presence, mislead customers, and drain your budget. Your brand’s visibility is never fully secure, and these hidden threats don’t just waste money – they suppress your growth and limit your ability to acquire new customers. Protecting your brand isn’t a defensive chore; it’s a proactive strategy for unlocking budget and fueling your growth. …

The Justice Department and Google wrapped a two-week hearing over how to address Google’s illegal monopoly in online advertising technology, setting up a pivotal antitrust showdown that could reshape the digital ad industry. Driving the news. The hearing, held in the U.S. District Court for the Eastern District of Virginia, concluded after testimony from more than two dozen witnesses – including Google executives, rival ad tech leaders, publishers, and expert economists. The Justice Department wants Google to sell off its ad exchange and possibly parts of its publisher tools to restore competition. Google argues that a breakup would disrupt publishers and adve…

OpenAI is turning ChatGPT into more than a chatbot. The company’s latest update lets users access third-party apps (e.g., Spotify, Canva, Zillow, Expedia) directly inside conversations. Why we care. This shift could make ChatGPT a high-intent marketing channel, reaching 800 million users where they’re already engaging – in chat. How it works. Users can call apps by name (“Figma, turn this sketch into a diagram”) or ChatGPT can suggest them automatically based on context – like surfacing Booking.com when discussing travel. Apps act like actions, not separate tools, within ChatGPT’s conversational flow. OpenAI calls this a step toward a “conversational opera…

AI hasn’t replaced traditional search – it’s expanding it, according to Robby Stein, Google’s VP of Product for Search, speaking in a new interview on Lenny’s Podcast. Google is seeing more searches than ever as people ask harder, more conversational, and more visual questions powered by AI, Stein said: “People come to search for just ridiculously wide set of things. … They want specific phone number. They want a price for something. They want to get directions. They want to find a payment web page for their taxes. Like every possible thing you can imagine. “I think the vastness of that is underappreciated by many people. And what we see is that … AI hasn’t r…

Marketing, technology, and business leaders today are asking an important question: how do you optimize for large language models (LLMs) like ChatGPT, Gemini, and Claude? LLM optimization is taking shape as a new discipline focused on how brands surface in AI-generated results and what can be measured today. For decision makers, the challenge is separating signal from noise – identifying the technologies worth tracking and the efforts that lead to tangible outcomes. The discussion comes down to two core areas – and the timeline and work required to act on them: Tracking and monitoring your brand’s presence in LLMs. Improving visibility and performanc…

Building authority when no one’s heard of you can feel like trying to join a conversation that’s already halfway done. You’ve got something worth saying, but no one’s listening yet. In SEO terms, that’s tough – you need visibility to earn trust, but you need trust to gain visibility. The good news: you don’t need fame or a huge LinkedIn following to be credible. You just need to be clear, consistent, and trustworthy. Authority today isn’t about being loud – it’s about being legible to both people and search systems. This article demonstrates how to establish authority during the “unknown but capable” stage. It’s written from an SEO perspective,…

It’s clear to me that the current “LLM situation” is untenable. These platforms are offering a very expensive set of products with relatively unlimited access. At the same time, you have content creators and publishers in a state of panic as decreased traffic has become the norm. Add to this that platforms ranging from Google’s AI Mode to ChatGPT lack clarity on how to monetize their products, and it becomes clear we’re kicking a can down the line, and sooner or later, all bills come due. The LLMs providing such broad access at no cost are unsustainable long-term. Content publishers offering their content to LLMs for free without traffic or other compensati…

As generative AI becomes more embedded in search and content experiences, it’s also emerging as a new source of misinformation and reputational harm. False or misleading statements generated by AI chatbots are already prompting legal disputes – and raising fresh questions about liability, accuracy, and online reputation management. When AI becomes the source of defamation It’s unsurprising that AI has become a new source of defamation and online reputation damage. As an SEO and reputation expert witness, I’ve already been approached by litigants involved in cases where AI systems produced libelous statements. This is uncharted territory – and while so…

Advertisers setting up Performance Max (PMax) campaigns in Google Ads are spotting something unexpected — video assets from their Twitter (X) ad accounts showing up in the “Suggested” section for creatives. How it works: The discovered videos were automatically uploaded to a YouTube channel associated with the advertiser’s account. A transparency message confirmed the data’s origin: “Videos from other ad platforms are sourced by third-party provider @Pathmatics (by Sensor Tower).” Advertisers are prompted to confirm they have the legal rights to use and share the videos for Google Ads. What Google says. Google Ads Liaison Ginny Marvin confirmed the …

Whether it’s Google signing Reddit to a deal to deepen its AI partnership, more traditional SEO results that have favored Reddit content, or Reddit’s share of ChatGPT references (down but still leading among social platforms), there are plenty of compelling reasons to prioritize Reddit in your organic strategy. That’s why it’s one of the first initiatives we tackle for new clients who aren’t yet building an organic Reddit presence. For clients already well underway with their core SEO strategies, we add it as a complementary layer. On its own, Reddit offers a strong pocket of qualified leads in discrete sub-verticals. Paired with the catnip-like appeal o…

A leaked file reveals the user interactions that OpenAI is tracking, including how often ChatGPT displays publisher links and how few users actually click on them. By the numbers. ChatGPT shows links, but hardly anyone clicks on them. For one top-performing page, the OpenAI file reports: 610,775 total link impressions 4,238 total clicks 0.69% overall CTR Best individual page CTR: 1.68% Most other pages: 0.01%, 0.1%, 0% ChatGPT metrics. The leaked file breaks down every place ChatGPT displays links and how users interact with them. It tracks: Date range (date partition, report month, min/max report dates) Publisher and URL details (publishe…