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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. 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…

  2. Custom GPTs can help SEO teams move faster by turning repeatable tasks into structured workflows. If you don’t have access to paid ChatGPT, you can still use these prompts as standalone references by copying them into your notes for future reuse. You will need to tweak them for your team’s specific use cases, because they are intended as a starting point. Working with AI is largely trial and error. To get better at writing prompts, practice with small tasks first, iterate on prompts, and take notes on what gets you good outputs. AI also tends to ramble, so it helps to give strict guidelines for formatting and to specify what not to do. You can upload resource…

  3. As part of the v23 Ads API launch, Performance Max campaigns can now be reported by channel, including Search, YouTube, Display, Discover, Gmail, Maps, and Search Partners. Previously, performance data was largely grouped into a single mixed category. The change under the hood. Earlier API versions typically returned a MIXED value for the ad_network_type segment in Performance Max campaigns. With v23, those responses now break out into specific channel enums — a meaningful shift for reporting and optimization. Why we care. Google Ads API v23 doesn’t just add features — it changes how advertisers understand Performance Max. The update introduces channel-level repor…

  4. If you’re relying on GA4 alone to measure the impact of AI SEO, you’re navigating with a broken compass. Don’t misunderstand me. It’s a reasonable launch pad. But to understand how audiences discover, evaluate, and ultimately choose brands, measurement must move beyond the bounds of Google’s tooling. SEO is a journey, not a destination. If you optimize only for attributable visits, large parts of that journey disappear from view. Sessions are an outcome. They can’t contextualize consideration sets increasingly shaped by algorithms and AI well before a visit ever happens. Don’t lose potential customers in the Bermuda Triangle of traditional SEO measurement…

  5. Generative engine optimization (GEO) represents a shift from optimizing for keyword-based ranking systems to optimizing for how generative search engines interpret and assemble information. While the inner workings of generative AI are famously complex, patents and research papers filed by major tech companies such as Google and Microsoft provide concrete insight into the technical mechanisms underlying generative search. By analyzing these primary sources, we can move beyond speculation and into strategic action. This article analyzes the most insightful patents to provide actionable lessons for three core pillars of GEO: query fan-out, large language model (LLM…

  6. 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. …

  7. Google Ads rolled out a new feature that shows advertisers which campaigns their products are eligible for, directly in the Products section. How it works. A new dashboard in the Products section includes: A table showing product details, status, issues, and priority flags A line graph summarizing campaign status trends Filters to segment eligibility views A pop-up panel that lists “Eligible” and “Not eligible” campaigns per product Why we care. dvertisers can now quickly identify products that are missing from key campaigns or unintentionally overlapping across Shopping and Performance Max. The added visibility reduces the need to jump between c…

  8. Google announced an early preview of WebMCP, which is a protocol for how AI agents interact with websites. “WebMCP aims to provide a standard way for exposing structured tools, ensuring AI agents can perform actions on your side with increased speed, reliability, and precision,” wrote André Cipriani Bandarra from Google. WebMCP enables developers to communicate with LLMs via your website about the actions certain buttons or links take. WebMCP allows websites to explicitly publish a “Tool Contract.” It uses a new browser API (navigator.modelContext). Instead of the AI guessing, the website provides a structured list of tools (e.g., function buyTicket(destination, date…

  9. The Wild West of web scraping is changing, due in large part to OpenAI’s deal with Disney. The deal allows OpenAI to train on high-fidelity, human-verified cinematic content – intended to combat AI slop fatigue. https://beimpolite.com/media/Retterspitz/6_VIDEO_800X448.mp4 This is how most of us feel when dealing with AI slop. Video production by Impolite. This deal opens up new opportunities to reinforce your brand’s visibility and recall. AI models are hungry for high-quality data, and this shift turns video into an essential asset for your brand. Here’s a breakdown of why video is the new source of truth for AI and how you can use it to protect your bran…

  10. You’re tracking the wrong numbers – and so is almost everyone else in SEO right now. We’ve all been there. You present a chart showing organic traffic up 47%, only to get blank stares from the CMO who wants to know why revenue hasn’t budged. Or you celebrate a top-three ranking for a keyword nobody’s actually searching for anymore. The metrics that made you look good in 2019 are actively misleading your decision-making in 2026. With AI Overviews dominating search results, zero-click searches becoming the norm, and personalized SERPs making traditional rankings less meaningful, sticking with outdated measurements puts your strategy and budget at risk. Let’…

  11. 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-…

  12. 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…

  13. Lately, I’ve been spending most of my day inside Cursor running Claude Code. I’m not a developer. I run a digital marketing agency. But Claude Code within Cursor has become the fastest way for me to handle many tasks I want to do, including pulling and analyzing data from Google Search Console, GA4, and Google Ads. The setup takes about an hour. After that, you can ask things like “which keywords am I paying for that I already rank for organically?” and get an answer in seconds instead of spending an afternoon with spreadsheets. (I wouldn’t have been the one spending an afternoon with spreadsheets anyway, but now nobody has to.) Here’s the step-by-step process I d…

  14. Perplexity AI must stop using its Comet browser agent to make purchases on Amazon. A federal judge sided with Amazon in an early ruling over AI shopping bots. Why we care. The case targets a core promise of AI agents: completing tasks like shopping on a user’s behalf. If courts restrict how agents access sites, AI agents could face strict limits when interacting with logged-in accounts on major websites. What happened. U.S. District Judge Maxine Chesney granted Amazon a preliminary injunction Monday in San Francisco federal court. The order blocks Perplexity from using its Comet browser agent to access password-protected parts of Amazon, including Prime subsc…

  15. Google is making Merchant Center for Agencies generally available in the U.S. and Canada today — giving agency teams a single login to manage, monitor, and optimize merchant clients at scale. What’s included: A unified dashboard for managing all client accounts from a single login Proactive diagnostics that surface critical alerts across the portfolio Merchandising-based opportunity tools to identify performance improvements feeding directly into Google Ads. Why we care. Managing multiple merchant accounts across Google’s ecosystem has historically meant jumping between logins and dashboards. Having it all surfaced in one place means problems …

  16. For years, SEO followed a fairly predictable playbook: create valuable content, optimize it for search engines, and compete for rankings on Google. But the way people discover information online is changing quickly. Tools like ChatGPT, Perplexity, and Gemini are introducing a new layer between users and search engines, where answers are generated and synthesized rather than simply retrieved. In a recent episode of the Get Discovered podcast, Joe Walsh, CEO of Prerender.io, sat down with Yoast’s Principal Architect Alain Schlesser to discuss what this shift means for SEO and online discoverability. Their conversation explores how AI answer engines are reshaping the sea…

  17. ChatGPT retrieves far more webpages than it cites. A new AirOps analysis found that 85% of discovered sources never appear in the final answer. Why we care. If you want your content cited in AI-generated answers, discovery isn’t enough. Most retrieved pages never become visible to users. Key finding. In AI answers, retrieval doesn’t equal citation. Your page can rank and be retrieved yet still lose the citation to a source that better matches the prompt or supporting context. This shifts optimization toward earning selection inside the AI synthesis process—not just appearing in search results, per the report. By the numbers: 82,108 citations appeared…

  18. Over the past decade, I’ve reviewed hundreds of resumes, conducted countless interviews, and led numerous technical tests for SEO candidates. Along the way, I’ve met many exceptional professionals — but I’ve also noticed a recurring pattern of common interview mistakes that can hold even the most talented candidates back. Below are 11 common mistakes I’ve observed in SEO interviews — and how you can easily avoid them. 1. Projecting arrogance instead of confidence Confidence is great! While imposter syndrome is common in SEO, it’s important to maintain realistic confidence in your skills and experience. However, there is a fine line between projecting conf…

  19. Google is expanding capabilities in Google Ads Editor to give advertisers more creative flexibility, automation control, and budget precision — especially as AI-driven campaign types continue to evolve. What’s new. The 2.12 release introduces a wide set of updates across Performance Max, Demand Gen, and video campaigns, with a clear focus on scaling creative assets and improving workflow efficiency. Creative expansion. Performance Max campaigns now support up to 15 videos per asset group, allowing advertisers to feed more variations into Google’s AI for testing. The addition of 9:16 vertical images also reflects growing demand for mobile-first formats, particularl…

  20. Search strategy once meant ranking on Google. We optimized websites and invested heavily in organic visibility. Entire marketing strategies were built around capturing demand from Google search results. But search behavior doesn’t live on a single platform. Today, people search on TikTok for recommendations, YouTube for tutorials, Reddit for honest opinions, and Amazon for product validation. Search behavior now spans a much wider set of platforms, creating one of the most overlooked opportunities in digital marketing. Search behavior is diversifying Recent research from SparkToro and Datos analyzed search behavior across 41 major platforms, including tradi…

  21. YouTube is experimenting with a format that keeps ads visible even after users skip — potentially reshaping how advertisers think about skippable inventory. What’s happening. YouTube is testing a sticky banner overlay that appears once a user skips an ad. Instead of the ad disappearing entirely, a branded card remains on-screen until the viewer actively dismisses it. How it works. After hitting “skip,” users return to their video as normal, but a persistent banner tied to the original ad stays visible within the player, extending the advertiser’s presence beyond the initial skip. Why we care. This test from YouTube creates a way to maintain visibility even…

  22. The debate around llms.txt has become one of the most polarized topics in web optimization. Some treat llms.txt as foundational infrastructure, while many SEO veterans dismiss it as speculative theater. Platform tools flag missing llms.txt files as site issues, yet server logs show that AI crawlers rarely request them. Google even adopted it. Sort of. In December, the company added llms.txt files across many developer and documentation sites. The signal seemed clear: if the company behind the sitemap standard is implementing llms.txt, it likely matters. Except Google pulled it from its Search developer docs within 24 hours. Google’s John Mueller sai…

  23. Google is working toward a future where it understands what you want before you ever type a search. Now Google is pushing that thinking onto the device itself, using small AI models that perform nearly as well as much larger ones. What’s happening. In a research paper presented at EMNLP 2025, Google researchers show that a simple shift makes this possible: break “intent understanding” into smaller steps. When they do, small multimodal LLMs (MLLMs) become powerful enough to match systems like Gemini 1.5 Pro — while running faster, costing less, and keeping data on the device. The paper, “Small Models, Big Results: Achieving Superior Intent Extraction through D…

  24. SEO has historically been an exercise in reverse-engineering algorithms. Keywords, links, technical compliance, repeat. But that model is being reimagined. Today, visibility is earned through trust, usefulness, and experience, not just relevance signals or crawlability. Search engines no longer evaluate pages in isolation. They observe how people interact with brands over time. That shift has given rise to human experience optimization (HXO): the practice of optimizing how humans experience, trust, and act on your brand across search, content, product, and conversion touchpoints. Rather than replacing SEO, HXO expands its scope to reflect how search …

  25. The U.S. Justice Department and a coalition of states plan to appeal a federal judge’s remedies ruling in the Google search antitrust case. The appeal challenges a decision that found Google illegally monopolized search but stopped short of imposing major structural changes, such as forcing a divestiture of Chrome or banning default search deals outright. What’s happening. The DOJ and state attorneys general filed notices of appeal yesterday, challenging U.S. District Judge Amit Mehta’s September remedies ruling, Bloomberg and Reuters reported. Mehta ruled in August 2024 that Google unlawfully maintained its search monopoly through default search agreements w…





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