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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. 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…

  2. For a long time, PPC performance conversations inside agencies have centered on bidding – manual versus automated, Target CPA versus Maximize Conversions, incrementality debates, budget pacing and efficiency thresholds. But in 2026, that focus is increasingly misplaced. Across Google Ads, Meta Ads, and other major platforms, bidding has largely been solved by automation. What’s now holding performance back in most accounts isn’t how bids are set, but the quality, volume, and diversity of creative being fed into those systems. Recent platform updates, particularly Meta’s Andromeda system, make this shift impossible to ignore. Bidding has been commoditized by a…

  3. 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 …

  4. 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…

  5. In Google AI Overviews and LLM-driven retrieval, credibility isn’t enough. Content must be structured, reinforced, and clear enough for machines to evaluate and reuse confidently. Many SEO strategies still optimize for recognition. But AI systems prioritize utility. If your authority can’t be located, verified, and extracted within a semantic system, it won’t shape retrieval. This article explains how authority works in AI search, why familiar SEO practices fall short, and what it takes to build entity strength that drives visibility. Why traditional authority signals worked – until they didn’t For years, SEOs liked to believe that “doing E-E-A-T” would mak…

  6. AI search visibility in beauty is increasingly shaped before a prompt is ever entered. Brands that appear in generative answers are often those already discussed, validated, and reinforced across social platforms. By the time a user turns to AI search, much of the groundwork has been laid. Using the beauty category as a lens, this article examines how social discovery influences brand visibility – and why AI search ultimately reflects those signals. Discovery didn’t move to AI – it fragmented Brand discovery has fragmented across platforms. AI tools influence mid-funnel consideration, but much discovery happens before a user enters a prompt. The signals…

  7. Local search remains one of the strongest drivers of consistent lead flow for service businesses. Outdated SEO tactics are losing impact as Google’s algorithm updates reshape local visibility. Success now depends on disciplined tracking and consistent execution. This 90-day sprint plan shows how to do both. Why local visibility is more volatile in 2026 Many service businesses aren’t current on how local search has changed or how Google Maps now determines visibility. They have a Google Business Profile (GBP) and a website, yet the phone is quiet. If a GBP isn’t visible, local prospects won’t find the business when they search for its services. That may…

  8. 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…

  9. Generative engine optimization (GEO) is the practice of positioning your brand and content so that AI platforms like Google AI Overviews, ChatGPT, and Perplexity cite, recommend, or mention you when users search for answers. If that sounds abstract, the results aren’t. For bootstrapped form builder tool, Tally, ChatGPT became the #1 referral source. They’re not alone. Across industries, the shift is already measurable. ChatGPT reaches over 800 million weekly users. Google’s Gemini app has surpassed 750 million monthly users. And AI Overviews are appearing in at least 16% of all searches (significantly higher for comparison and high-intent queries). Th…

  10. 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…

  11. In her third annual letter, Vidhya Srinivasan, VP/GM of Ads & Commerce at Google, lays out how AI is transforming shopping and advertising in 2026 — making experiences faster, more personal, and more seamless for both consumers and businesses. Key trends: Creators to commerce: YouTube continues to be a discovery hub, with creators acting as trusted tastemakers. AI is helping match brands to the right creators, turning influence into measurable business impact. Search ads evolve: With conversational and visual queries on the rise, AI Mode is reimagining ads as part of the discovery journey. New formats, like sponsored retail listings and Direct Offers…

  12. As consumers lean into AI search, the industry has focused on the technical “how” – tracking everything from Agentic Commerce Protocols (ACP) to ChatGPT’s latest shopping research tools. In doing so, it often misses the larger shift: conversational search, which is changing how visibility is earned. There’s a common argument that big brands will always win in AI. I disagree. When you move beyond the “best running shoes” shorthand and look at the deep context users now provide, the playing field levels. AI is trying to match user needs to specific solutions, and it’s up to your brand to provide the details. This article explains how conversational search changes pr…

  13. In a conversation on the OpenAI podcast, host Andrew Maine spoke with OpenAI executive Assad Awan, who detailed how ads will roll out in ChatGPT, who will see them and how the company plans to protect user trust. Who will see ads: Ads will appear for Free and Go tier users Plus, Pro and Enterprise subscribers won’t see ads Enterprise workspaces will remain fully ad-free The guardrails: Awan emphasized that OpenAI is structuring ads around strict trust principles: Separation: Ads are visually and technically separate from model answers Privacy: Conversations aren’t shared with advertisers Sensitive topics: Health, politics and other sensitive …

  14. Google Ads is rolling out recommended experiments on the Experiments page, surfacing test ideas based on an account’s setup and performance data. How it works: The platform suggests experiment opportunities — such as testing bidding strategies, creative variations, or new campaign features — and presents them directly inside the Experiments dashboard. Each recommendation includes a preconfigured experiment setup Advertisers can launch immediately or customize settings Suggestions appear alongside the standard Create Experiment workflow Why we care. By removing the need to build tests from scratch, Google is lowering the barrier to experimentation. A…

  15. 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…

  16. 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…

  17. When left to its own devices, there are a couple of things Performance Max is absolutely great at doing for lead gen campaigns: Driving volume. Finding the lowest-quality leads it possibly can. It’s not inherently surprising that Google is doing what’s best for Google – that is, lining its own pockets – by heavily optimizing toward the cheapest, path-of-least-resistance conversion events. From experience with campaigns we inherit from new clients, this performance often catches brands off guard – especially those who take Google sales reps’ “helpful advice” at face value. It can take time for those brands to look past PMax’s shiny, low CPAs and realiz…

  18. Every seasoned PPC pro carries a few scars — the kind you earn when a campaign launches too fast, an automation quietly runs wild, or a “small” setting you were sure you checked comes back to bite you. At SMX Next, we had a candid, refreshingly honest conversation about the mistakes that still trip us up, no matter how long we’ve been in the game. I was joined by Greg Kohler, director of digital marketing at ServiceMaster Brands, and Susan Yen, PPC team lead at SearchLab Digital. Read on to see the missteps that can humble even the most experienced search marketers. Never launch campaigns on a Friday This might be the most notorious mistake in PPC — and…

  19. Google is now advertising its own AI features inside Google Ads — a rare move that puts promotion directly into advertisers’ workflow. What’s happening. Users are seeing promotional messages for AI Max for Search campaigns when they access campaign settings panels. The notifications appear during routine account audits and updates It functions essentially as an internal advertisement for Google’s own tooling Why we care. The in-platform placement shows Google’s push to accelerate AI adoption among advertisers, moving beyond optional rollouts to active promotion. This promotional tactic also suggests Google may increasingly nudge advertisers toward AI-p…

  20. Microsoft today launched AI Performance in Bing Webmaster Tools in beta. AI Performance lets you see where, and how often, your content is cited in AI-generated answers across Microsoft Copilot, Bing’s AI summaries, and select partner integrations, the company said. AI Performance in Bing Webmaster Tools shows which URLs are cited, which queries trigger those citations, and how citation activity changes over time. Search Engine Land first reported on Jan. 27 that Microsoft was testing the AI Performance report. What’s new. AI Performance is a new, dedicated dashboard inside Bing Webmaster Tools. It tracks citation visibility across supported AI surfaces. Inst…

  21. B2B advertising faces a distinct challenge: most automation tools weren’t built for lead generation. Ecommerce campaigns benefit from hundreds of conversions that fuel machine learning. B2B marketers don’t have that luxury. They deal with lower conversion volume, longer sales cycles, and no clear cart value to guide optimization. The good news? Automation can still work. Melissa Mackey, Head of Paid Search at Compound Growth Marketing, says the right strategy and signals can turn automation into a powerful driver of B2B leads. Below is a summary of the key insights and recommendations she shared at SMX Next. The fundamental challenge: Why automation stru…

  22. Let me guess: you just spent three months building a perfectly optimized product taxonomy, complete with schema markup, internal linking, and killer metadata. Then, the product team decided to launch a site redesign without telling you. Now half your URLs are broken, the new templates strip out your structured data, and your boss is asking why organic traffic dropped 40%. Sound familiar? Here’s the thing: this isn’t an SEO failure, but a governance failure. It’s costing you nights and weekends trying to fix problems that should never have happened in the first place. This article covers why weak governance keeps breaking SEO, how AI has raised the stakes…

  23. It is no secret that publishing SEO-friendly blog posts is one of the easiest and most effective ways to drive organic traffic and improve SERP rankings. However, in the era of artificial intelligence, blog posts matter more than ever. They help establish brand authority by consistently delivering fresh, valuable content that can be cited in AI-generated answers. In this guide, we will share a practical, detailed approach to writing SEO-friendly blog content that not only ranks on Google SERPs but is also surfaced by AI models. Table of contents What does an SEO-friendly blog post mean in the AI era? 9 tips to write SEO-friendly blogs for LLM and SERP visibility…

  24. If you’ve been managing PPC accounts for any length of time, you don’t need a research report to tell you something has changed. You see it in the day-to-day work: GCLIDs missing from URLs. Conversions arriving later than expected. Reports that take longer to explain while still feeling less definitive than they used to. When that happens, the reflex is to assume something broke – a tracking update, a platform change, or a misconfiguration buried somewhere in the stack. But the reality is usually simpler. Many measurement setups still assume identifiers will reliably persist from click to conversion, and that assumption no longer holds consistentl…

  25. 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. …





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