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SEO Tools and Resources

Discuss popular SEO tools like SEMrush, Ahrefs, and Google Analytics, and share resources that make SEO easier.

  1. The difference between a 2% margin and a 20% margin increasingly comes down to whether you’re renting attention or owning the answer. For years, search rewarded the ability to buy visibility. That model is weakening. As AI systems increasingly resolve queries without a click, the value shifts from traffic acquisition to answer formation. When you move from buying clicks to engineering answers (i.e., structuring content so it can be surfaced, cited, and trusted by AI systems), you change what you own. Instead of renting placement, you build answer equity: durable inclusion in the outputs that shape decisions. The goal isn’t to turn off paid search. It’s to…

  2. Google is filling a key measurement gap between awareness and consideration, giving advertisers a clearer view of how their brand is actually perceived — not just remembered. What’s new. Google Ads has introduced a new “Association” metric within Brand Lift Studies. Advertisers can define a concept, category or attribute, and Google will ask users a survey-style question: which brands they associate with that specific idea. How it works. Instead of measuring simple recall, the metric evaluates whether audiences connect your brand to a desired positioning. That could mean “premium,” “sustainable,” or even a product category — offering a more nuanced read on brand p…

  3. In February 2024, Gartner predicted that traditional search volume would drop 25% by 2026. It didn’t. Google’s search revenue accelerated to 17% year-over-year growth, crossing $63 billion in Q4 2025 alone. But clicks per search are falling while query volume explodes. The pie got bigger. The slices got redistributed. And most search teams are still optimizing for the old pie. Are you still poring over spreadsheets full of organic keyword rankings like it’s 2003? Your customers don’t care where they’re getting their answers. They’re just looking for answers they can trust. And they’re finding those answers across more surfaces than your rank tracker knows exist. I…

  4. Google is rolling out new tools to help advertisers better understand performance across increasingly complex customer journeys. What’s happening. As AI continues to transform campaigns, creatives and targeting, Google is introducing updates focused on data integration, experimentation and media mix modelling — all aimed at helping marketers turn fragmented signals into actionable insights. Why we care. Automation has made it easier to run campaigns, but harder to understand what’s actually working. These updates make it easier to connect data, prove what’s actually driving results, and make smarter budget decisions across channels. As AI handles more of the execu…

  5. For over two decades, parked domains generated income for advertisers and publishers. Recent Google Ads policy changes restricting ads on parked, expired, or mistyped domains show that nothing lasts forever. If industry shifts have affected you, this article may interest you. Today, we’ll take a deeper look at domain monetization and whether you can still stabilize and optimize income from domain traffic. The domain market shake-up In 2025, Google began rolling out significant changes to its Search Partner Network to improve inventory quality. These updates tightened controls and limited ad delivery across parked, expired, and mistyped domains. That process…

  6. AI has quickly become the most overconfident line item in the modern marketing roadmap. Budgets are shifting. Teams are being restructured. Vendors are being evaluated almost exclusively through the lens of how “AI-powered” they appear. There is a growing assumption that once the right models are in place, performance will follow. Better targeting. Smarter segmentation. Higher conversion. More efficient spend. It sounds almost inevitable. But there is a quieter reality beneath the momentum. One that rarely makes it into boardroom conversations or conference keynotes. Most organizations are not struggling to use AI. They are struggling to feed it. And w…

  7. Search campaigns often see strong early gains — more visibility, traffic, and conversions. But that growth doesn’t last forever. At some point, performance stalls, whether it shows up as a plateau, volatility, or rising costs. That slowdown isn’t necessarily a failure. More often, it signals limits in demand, targeting, conversion, or execution — the challenge is figuring out which one. Search performance doesn’t stay linear, and once early wins are exhausted, quick gains become harder to find. When growth stalls, the instinct is to do more — launch campaigns, publish content, increase spend. But without understanding the constraint, that effort can miss the mark.…

  8. For a long time, we defined SEO success by rankings and traffic. If you reached the top of the search results and brought people to your site, you did your job. That approach worked when discovery was linear, and search engines were the primary gatekeepers. But modern search behavior does not stop at discovery. Users want clarity, reassurance, and confidence before they make decisions. With so many options to choose from, users want to understand what a product does, how it compares to alternatives, and whether it fits their needs. There is a shift in SEO, one that pushes closer to product thinking and long-term value creation. Search engines reward content and experi…

  9. Take a look at your SEO to-do list. Most of it is probably the same rote, repetitive tasks. Turning everyday work into faster, easier outputs is easier than ever with AI. Besides obvious tasks like note-taking and team reminders, you can automate tasks such as content audits, page outlines, and keyword research. Start with simple strategies to save time on the repetitive work you do every day, then expand into using AI tools for automation. Always do a final check yourself, rather than trusting 100% of your work to LLMs, which rarely get things exactly right. Identify automation opportunities One simple way to decide what you can automate is to ask yourself…

  10. Understanding the ins and outs of paid media can seem like an overwhelming process when you’re first entering the field. As AI has rapidly changed ad platforms in recent years, keeping up can feel challenging. Thankfully, you’re not alone. You’re part of a supportive industry with a wealth of content and knowledge to share. Here are seven tips to help you learn and become a more confident PPC manager. 1. Be curious Curiosity is foundational to growth in PPC. You’ll learn best by taking initiative to understand ad platforms, how campaigns are structured, and what options are available on the backend. Of course, be careful about tweaking settings you’re not famil…

  11. Every brand holds its claims, and somewhere in the archive of its digital life, there’s proof to back them up. The AI assistive engine (the systems behind ChatGPT, Perplexity, and Google AI Overviews) holds that proof too, scattered across its training data and retrieval index, alongside competitors’ claims. The audience has a need but no vocabulary to bridge the gap between what they want and what the brand or the engine already knows. All three lack the same thing: a frame, the interpretive context that turns scattered information into a narrative worth transmitting (for the brand), citing (for AI), and acting on (for the user). This is where the claim…

  12. Ranking and visibility are no longer the same thing. For 20 years, SEO teams optimized for SERP position. Higher rankings meant more visibility, more clicks, and more traffic. That relationship is breaking down. Earlier this year, Ahrefs found that only 38% of pages cited in Google AI Overviews also ranked in the traditional top 10. Eight months earlier, that number was 76%. The implication is straightforward: being highly ranked no longer guarantees being seen. In AI-generated answers, visibility is determined by inclusion — and by how your brand is represented when it appears. That representation is determined by a different set of signals. How visib…

  13. AI may not see your brand the way you think it does, according to Scott Stouffer, co-founder and CTO at Market Brew. Brands still publish content, optimize pages, build authority, and follow SEO best practices. But that may not be enough anymore. Search has moved away from a simple battle over keywords, links, and page-level signals. It’s now shaped by meaning, intent, embeddings, and retrieval, Stouffer said during his SEO Week presentation. In legacy SEO, a page could rank lower and still exist in the search results. In AI-driven systems, the first question isn’t whether you rank. It’s whether you’re ever retrieved. “If you’re not retrieved, you do not …

  14. I keep hearing people say AI understands their brand. It doesn’t. Let’s get that out of the way first. What it does is pattern-match at scale. It compresses your positioning, product, proof, and tone into a bundle of signals it can retrieve and remix at speed. Those patterns come from two places: Training: What the model absorbed historically. Retrieval: What it can fetch at answer time from the live web and other sources. So “AI SEO” isn’t a new channel. It’s a new representation problem: which version of your brand gets encoded, retrieved, and repeated. Most brands are already in the game. They’re just not playing with purpose. The internet i…

  15. Reddit is quickly becoming a powerful platform shaping how people discover and perceive brands. As AI search engines increasingly surface Reddit threads and comments, these conversations now influence visibility. To understand this shift, I analyzed 117 SaaS brands on Reddit. People reveal what they really think there, which doesn’t always match polished marketing. As communities shape brand perception, Reddit is no longer optional. Here’s my analysis, plus how you can use Reddit to your advantage. How I analyzed 117 SaaS brands: The methodology My analysis of 117 brands across the SaaS industry started with identifying the verticals to address: Pr…

  16. The conversation has shifted. We’re spending less time optimizing for clicks and more time trying to fix the AI ROI story. AI now sits at the center of discovery, shaping what gets seen, summarized, and cited. Here’s what’s working right now, what your peers are doing, and why SMX Advanced will feel different this year. The SparkToro wake-up call: Influence happens everywhere The foundation of any serious 2026 content strategy has to start with Rand Fishkin’s landmark March 2026 study, “Influence Happens Everywhere,” an analysis of the 5,000 most-visited sites on both mobile and desktop. The finding that rattled the industry: while Google still commands 73…

  17. The other day, I was putting together my version of a Lumascape of answer engine optimization (AEO) tools — I’m kidding, my computer doesn’t have that kind of bandwidth. Instead of mapping every tool — which would be outdated in minutes — I’m focusing on the ones I actually use to grow clients’ AI search presence. This is a deliberately short list: four tools I rely on, plus three I’m testing before adding them to my team’s stack. 1. AI assistants (ChatGPT, Claude, Perplexity) Used thoughtfully, large language model (LLM) assistants are research and analysis tools in their own right. For AEO work specifically, they serve several distinct purposes: Com…

  18. OpenAI is taking the next step in building its ChatGPT ads platform — introducing self-serve buying, CPC bidding and improved measurement to bring more advertisers into the ecosystem What’s happening. Ads in ChatGPT are moving beyond a limited pilot, with new ways for businesses to buy and manage campaigns. Advertisers can now access inventory through agency and tech partners — or directly via a new beta Ads Manager rolling out in the U.S. This marks a shift from a controlled test environment to a more scalable ad platform. Why we care. Until now, access to ChatGPT ads has been restricted and expensive, limiting participation to large advertisers. These update…

  19. Everything looked normal in the SEO data. Google Search Console, traffic, and indexing — no red flags. Then I opened Scrunch, our AI citation monitoring tool, and looked at platform-by-platform presence for searchinfluence.com over the prior 30 days: Google AI Mode: 37.8% Copilot: 22.2% Google Gemini: 16.3% ChatGPT: 9.6% Perplexity: 7.8% Claude: 0.0% Meta AI: 0.0% Two platforms at zero. Every crawler reads the same site, so content quality and topical authority can’t account for that gap. They’re identical for every platform on the list. What varies is access — whether each platform’s crawler is allowed in. Nothing else explains how Google …

  20. Improving technical SEO on your site may not be enough to move the needle these days. Once a site reaches technical parity with its competitors — the point at which a proper infrastructure no longer gives you an advantage — Google shifts its ranking criteria toward relevance. And relevance is determined by aligning with search intent. Let’s talk about how to make your site more relevant. Why an intent mismatch may be suppressing your site’s performance An intent mismatch occurs when the copy on a page doesn’t match what the user is expecting to find on it. This happens when pages aren’t relevant to a topic or have mismatched signals. This generates po…

  21. Google appears to be pulling parts of the Google Tag Manager interface directly into Google Ads — a move that could simplify how advertisers manage tracking and tags. What’s happening. Advertisers are spotting a new “Manage” option inside the Data Manager section of Google Ads that opens Tag Manager controls without leaving the platform. The update was first shared by Marthijn Hoiting and Adriaan Dekker, who posted screenshots showing Tag Manager elements embedded within the Google Ads environment. Why we care. Tag setup and troubleshooting have long been a friction point for advertisers, often requiring multiple tools and technical handoffs. Bringing …

  22. AI systems are getting better at generating Spanish. They’re not getting better at understanding Spanish markets. What we’re seeing instead is a consistent pattern: more than 20 Spanish-speaking countries collapsed into a single default. Spain becomes “standard.” Mexico becomes interchangeable. The rest get flattened into statistical averages. The failure modes are structural — dialect defaulting, format contamination, and regulatory hallucination — and they’re amplified in a generative search environment where one synthesized answer replaces 10 blue links. That distinction is now a visibility constraint. Generative systems resolve ambiguity. When your content…

  23. Watch this video on Vimeo On PPC Live The Podcast, I spoke with Peter Bowen, a Google Ads specialist with nearly 20 years of experience and a strong focus on B2B lead generation. Pete shared two major lessons from his career: always check the basics, and never assume the systems around your ads are working just because the campaigns look fine. The currency mistake that cost 10 times the budget Pete Bowen shared an early mistake where a South African client’s account was set up in the UK, defaulting the currency to pounds instead of rand. That simple oversight led to spending roughly 10 times the intended budget, delivering great results at first — but u…

  24. Branded search is often treated as predictable and easy to manage. In practice, it isn’t. PPC teams see rising CPC on brand terms. SEO teams see declining branded CTR, even when rankings hold. These issues are usually investigated separately, with different dashboards, hypotheses, and fixes. Both signals often stem from changes within a single SERP. What look like two separate problems are, in reality, one shared environment reacting to shifts in competition and visibility. The issue isn’t a lack of data. Most teams already have basic reports and brand monitoring tools, including PPC and SEO platforms. The problem is how the data is used. To understand wh…





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