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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. As the SaaS market reels from a sell-off sparked by autonomous AI agents like Claude Cowork, new data shows a 53% drop in AI-driven discovery sessions. Wall Street dubbed it the “SaaSpocalypse.” Whether AI agents will replace SaaS products is a bigger question than this dataset can answer. But the panic is already distorting interpretation, and this data cuts through the noise to show what SEO teams should actually watch. Copilot went from 0.3% to 9.6% of SaaS AI traffic in 14 months From November 2024 to December 2025, SaaS sites logged 774,331 LLM sessions. ChatGPT drove 82.3% of that traffic, but Copilot’s growth tells a different story: SaaS AI Tra…

  2. We’re in a new era where web content visibility is fragmenting across a wide range of search and social platforms. While still a dominant force, Google is no longer the default search experience. Video-based social media platforms like TikTok and community-based sites like Reddit are becoming popular search engines with dedicated audiences. This trend is impacting how news content is consumed. Google’s current news SERP evolution is directly influenced by the personalization of query responses offered by LLMs and the rise in influencer authority enabled by social media platforms. Google has responded by creating its own AI-powered SERP features, such as AI …

  3. Google Ads is rolling out a feature that lets advertisers calculate conversion value for new customers based on a target return on ad spend (ROAS), automatically generating a suggested value instead of relying on manual estimates. The update is designed for campaigns using new customer acquisition goals, where advertisers want to bid more aggressively to attract first-time buyers. How it works. Advertisers enter their desired ROAS target for new customers, and Google Ads proposes a conversion value aligned with that goal. The system removes some of the guesswork involved in estimating how much a new customer should be worth in bidding models. The feature doesn…

  4. Google Ads is rolling out a beta feature that lets advertisers connect external data sources directly inside conversion action settings, tightening the link between first-party data and campaign measurement. How it works. A new section in conversion action details — labeled “Get deeper insights about your customers’ behavior to improve measurement” — prompts advertisers to connect external databases to their Google tag. Supported integrations include platforms like BigQuery and MySQL The goal is to enrich conversion metrics and improve performance signals The feature appears in a highlighted prompt within data attribution settings Rollout is gradual …

  5. Rand Fishkin just published the most important piece of primary research the AI visibility industry has seen so far. His conclusion – that AI tools produce wildly inconsistent brand recommendation lists, making “ranking position” a meaningless metric – is correct, well-evidenced, and long overdue. But Fishkin stopped one step short of the answer that matters. He didn’t explore why some brands appear consistently while others don’t, or what would move a brand from inconsistent to consistent visibility. That solution is already formalized, patent pending, and proven in production across 73 million brand profiles. When I shared this with Fishkin directly, h…

  6. Google published a new help document outlining how passkeys work in Google Ads — a timely move as advertisers face a rise in account hacks and phishing attempts. What’s happening. The new help page explains how passkeys function as a passwordless, phishing-resistant login method in Google Ads, and clarifies when they’re required — including for sensitive actions like user access changes and account linking updates. The documentation walks advertisers through device requirements, setup steps and security considerations. Why we care. Ad accounts are increasingly being targeted by attackers, with compromised logins leading to budget theft, campaign disruptio…

  7. Google doesn’t build products with B2B marketers in mind. Its largest budgets and transaction volume come from DTC and B2C brands, so that’s where product development naturally starts. That’s why new Google products rarely work for B2B out of the gate. Over my 15+ years in advertising, I’ve seen this pattern repeat: initial release, poor B2B fit, then gradual improvement after about two years. We saw it with responsive search ads, broad match (yes, I thought it was the end of times, too), and dynamic search ads. Performance Max follows the same trajectory. Three years ago, I would have said “absolutely not” for B2B organizations. In 2026, that a…

  8. AI Overviews, which place generated answers directly at the top of search results, are improving the search experience for users. For businesses that rely on content to drive traffic from search engines, the impact is far less positive. Google has been moving toward more “helpful” results for years, and zero-click searches are nothing new. AI Overviews accelerate that shift, absorbing much of the traffic opportunity that search has historically provided. How AI changes the work of search For years, search followed a familiar pattern: A user entered a short query, such as “team building companies.” Google returned a page of paid and organic res…

  9. Agentic AI is increasingly appearing in leadership conversations, often accompanied by big claims and unclear expectations. For SEO leaders working with ecommerce brands, this creates a familiar challenge. Executives hear about autonomous agents, automated purchasing, and AI-led decisions, and they want to know what this really means for growth, risk, and competitiveness. What they don’t need is more hype. They need clear explanations, grounded thinking, and practical guidance. This is where SEO leaders can add real value, not by predicting the future, but by helping leadership understand what is changing, what isn’t, and how to respond without overreacting. …

  10. SEO is moving out of the marketing silo into organizational design. Visibility now depends on how information is structured, validated, and aligned across the business. When information is fragmented or contradictory, visibility becomes unstable. The risk isn’t just ranking volatility – it’s losing control of how your brand is interpreted and cited. For SEO leaders, the choice is unavoidable: remain a channel optimizer or shape the systems that govern how your organization is understood and cited. That shift isn’t happening in a vacuum. AI systems now interpret, reconcile, and assemble information at scale. The visibility shift beyond rankings The future of…

  11. Google is rolling out new more visibile links within AI Overviews and AI Mode. These new link cards appear in a pop-up window when you hover over them on desktop. They also show more prominent details about the website. Google was testing these earlier and now this new style is live. What it looks like. Here is a screenshot of these new link pop up menus on hover: What Google said. Google’s Robby Stein posted on X saying: “New on Search: In AI Overviews and AI Mode, groups of links will automatically appear in a pop-up as you hover over them on desktop, so you can jump right into a website to learn more. And we’ll show more descriptive and prominent…

  12. Perplexity is abandoning advertising, for now at least. The company believes sponsored placements — even labeled ones — risk undermining the trust on which its AI answer engine depends. Perplexity phased out the ads it began testing in 2024 and has no plans to bring them back, the Financial Times reported. The AI search company could revisit advertising or “never ever need to do ads,” the report said. Why we care. If Perplexity remains ad-free, brands lose paid access to a fast-growing audience. The company previously reported that it gets 780 million monthly queries. With sponsored placements gone, brands have no way to get visibility inside Perplexity’s answ…

  13. Digital marketing teams have long debated the balance between SEO and PPC. Who owns the keyword? Who gets the budget? Who proves ROI most effectively? For years, the division felt clear. SEO optimized for organic rankings, while paid media optimized for auctions. Both fought for visibility on the same results page, but operated under fundamentally different mechanics and incentives. ChatGPT ads are beginning to erase that line. The separation between organic and paid isn’t just blurring, it’s breaking down inside conversational AI. The new battleground isn’t the SERP. It’s the prompt. The intersection of PPC and SEO now lives inside ChatGPT ads. From SERP-…

  14. OpenAI is serving ads inside ChatGPT, and new findings suggest the experience looks quite different from what the company originally envisioned. What’s happening. Research from AI ad intelligence firm Adthena has identified the first confirmed ads appearing on ChatGPT for signed-in desktop users in the U.S. The big surprise. Early speculation suggested ads would only surface after extended back-and-forth conversations. That’s not what’s happening. When a user asked “What’s the best way to book a weekend away?”, sponsored placements appeared immediately — on the very first response. What they look like. The ads feature a prominent brand favicon and a clear “Spo…

  15. I stopped using press releases several years ago. I thought they had lost most of their impact. Then a conversation with a good friend and mentor changed my perspective. She explained that the days of expecting organic features from simply publishing a press release were long gone. But she was still getting strong results by directly pitching relevant journalists once the release went live, using its key points and a link as added leverage. I reluctantly tried her approach, and the results were phenomenal, earning my client multiple organic features. My first thought was, “If it worked this well with a small tweak, I can make it even more effective with a…

  16. Demand Gen marks a shift in Google Ads toward visual advertising beyond keywords and text. Relying on traditional strategies when testing it wastes budget, hurts performance, and limits opportunity. To succeed, you have to think more like a social advertiser than a search advertiser. At SMX Next, Industrious Marketing owner Jack Hepp explained why many businesses struggle with demand gen campaigns — especially in B2B and lead generation — while also sharing insights relevant to ecommerce. Understanding the Shift: From Intent to Interruption Demand Gen reflects Google’s shift from intent-first search advertising to visual, discovery-based campaigns. I…

  17. Advertisers contacting Google Ads support may now need to grant explicit authorization before they can even submit a help request — giving a Google specialist permission to access and make changes directly inside their account. Here’s what’s happening. Users are first routed to a beta AI chat. If they opt to submit a support form instead, they must tick an “Authorisation” box. The wording allows a Google Ads specialist, on behalf of the company, to reproduce and troubleshoot issues by making changes directly in the account. The fine print is clear. Google doesn’t guarantee results. Any adjustments are made at the advertiser’s own risk. And the advertiser remains s…

  18. Google’s AI Mode isn’t more likely to cite content that appears “above the fold,” according to a study from SALT.agency, a technical SEO and content agency. After analyzing more than 2,000 URLs cited in AI Mode responses, researchers found no correlation between how high text appears on a page and whether Google’s AI selects it for citation. Pixel depth doesn’t matter. AI Mode cited text from across entire pages, including content buried thousands of pixels down. Citation depth showed no meaningful relationship to visibility. Average depth varied by vertical, from about 2,400 pixels in travel to 4,600 pixels in SaaS, with many citations far below the tr…

  19. Eighty million people use Reddit search every week, Reddit said on its Q4 2025 earnings call last week. The increase followed a major change: Reddit merged its core search with its AI-powered Reddit Answers and began positioning the platform as a place where users can start — and finish — their searches. Executives framed the move as a response to changing behavior. People are increasingly researching products and making decisions by asking questions within communities rather than relying solely on traditional search engines. Reddit is betting it can keep more of that intent on-platform, rather than acting mainly as a source of links for elsewhere. Why we care…

  20. AI search influence didn’t show up in our SEO reports or AI prompt tracking tools. It showed up in sales calls. “Found you via Grok, actually,” a new lead said. That comment stopped us cold. We hadn’t tried to rank in Grok. We weren’t tracking it. Yet it was influencing how buyers discovered and evaluated us. That disconnect kept appearing in client conversations, too. Everyone was curious about AI search, but no one trusted the data. Teams wanted visibility in ChatGPT and other AI tools, then asked the same question: “Why invest in a channel that doesn’t show up cleanly in attribution?” To answer that, we ran controlled experiments using assets we could fu…

  21. In a perfect world, you could call up a top customer to pick their brain about a piece of content. But in reality, it can be extremely difficult and time-consuming to conduct audience interviews every time you need to create a new topic or refresh an old piece. A few years ago, content marketing was simpler – keyword intent and quality content was enough to rank at the top of Google’s SERP to get clicks. But in the new era of AI, expectations are different. Audience research has become critical. However, some companies may not have the resources to perform it. One way to better understand your target audience is to create a custom GPT in ChatGPT, configured …

  22. Google is launching Scenario Planner, a no-code tool that lets you test budget scenarios and forecast ROI using its Meridian marketing mix model without needing data science expertise. What’s new. Scenario Planner turns complex MMM outputs into actionable marketing insights: Intuitive, code-free interface: You can test different budget allocations and view ROI estimates without writing any code. Forward-looking planning: The tool lets you simulate investment scenarios and stress-test strategies, moving beyond retrospective reporting. Digestible insights: Technical model outputs are visualized in clear, easy-to-understand formats so you can leverage them for…

  23. Reddit is piloting a new AI-powered shopping experience that transforms its famously trusted community recommendations into shoppable product carousels — a move that could reshape how the platform monetizes its search traffic. What’s happening. A small group of U.S.-based users are seeing interactive product carousels appear in search results when their queries signal purchase intent — think “best noise-canceling headphones” or “top budget laptops.” The carousels sit at the bottom of search results and include pricing, images and direct retailer links. Products are surfaced from items actually mentioned in Reddit posts and comments — not just ad inventory. …

  24. PPC is evolving beyond traditional search. Those who adopt new ad formats, smarter creative strategies, and the right use of AI will gain a competitive edge. Ginny Marvin, Google’s Ads Product Liaison, and Navah Hopkins, Microsoft’s Product Liaison, joined me for a conversation about what’s next for PPC. Here’s a recap of this special keynote from SMX Next. Emerging ad formats and channels When discussing what lies beyond search, both speakers expressed excitement about AI-driven ad formats. Hopkins highlighted Microsoft’s innovation in AI-first formats, especially showroom ads: “Showroom ads allow users to engage and interact with a showroom whe…

  25. Most SEO professionals give Google too much credit. We assume Google understands content the way we do — that it reads our pages, grasps nuance, evaluates expertise, and rewards quality in some deeply intelligent way. The DOJ antitrust trial told a different story. Under oath, Google VP of Search Pandu Nayak described a first-stage retrieval system built on inverted indexes and postings lists, traditional information retrieval methods that predate modern AI by decades. Court exhibits from the remedies phase reference “Okapi BM25,” the canonical lexical retrieval algorithm that Google’s system evolved from. The first gate your content has to pass through isn’t a neural…





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