SEO Tools and Resources

In mid-September, many SEO professionals began noticing unusual drops in Google Search Console (GSC) data. Impressions were down, average positions shifted, and the number of reported queries changed overnight. This wasn’t the result of a ranking update but a reporting change – one that redefines how we interpret GSC visibility data going forward. What happened to GSC impressions The drop traces back to Google’s quiet decision to stop supporting the &num=100 parameter, which allowed tools and crawlers to retrieve up to 100 results per query. Once support ended, those extra data points disappeared – and with them, many of the impressions and posit…

One of the biggest reasons new advertisers end up in underperforming Performance Max campaigns is simple: they followed Google’s advice. Google Ads reps are often well-meaning and, in many cases, genuinely helpful at a surface level. But it’s critical for advertisers – especially new ones – to understand who those reps work for, how they’re incentivized, and what their recommendations are actually optimized for. Before defaulting to Google’s newest recommendation, it’s worth taking a step back to understand why the “shiny new toy” isn’t always the right move – and how advertisers can better advocate for strategies that serve their business, not just the platf…

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…

Search has changed, and brands need to catch up fast, according to IBM’s Alexis Zamkow (global lead of Marketing Transformation solutions) and Sandhya Ranganathan Iyer (associate partner – AI), speaking yesterday at Adobe Summit. AI tools don’t just help people search. They answer questions, compare products, and recommend brands. In many cases, users never even visit a website. That means if your brand isn’t part of the AI-generated answer, you may not be part of the decision. To keep up, brands need more than new tactics. They need a system — a GEO (Generative Engine Optimization) playbook. Here’s a recap of their presentation, Adapt or Disappear: How Brands…

Attribution shows who gets credit. Incrementality shows what your marketing truly caused. In an era of automation and privacy restrictions, understanding the real lift behind your campaigns is the only way to prove what’s working. This article breaks down what incrementality measures, why it matters, and how to test it across today’s major ad platforms. The problem with ‘great’ results that don’t actually drive growth Marketers love big numbers – CTR, impressions, and ROAS all sound great in a deck. But what if those results don’t represent real business growth? For example, a paid search campaign reports a 10x ROAS. It might sound amazing. But…

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…

Generative AI is transforming how people search for and consume information. Rather than sifting through traditional search results, users now get instant AI-generated answers – often sourced from multiple websites. For brands, instead of competing for a single featured snippet, you now have the chance to be included in AI-generated responses. The key? Creating interactive content that engages users and provides AI-friendly insights. This article explores why interactive content outperforms static content in AI-driven search and how brands can leverage it to increase search presence, engagement, and website traffic. What is interactive content? In…

Now that AI Mode is fully live in the U.S. and Google is even testing ads within AI Mode, I noticed that the AI Mode tab under the Google Search bar is consistently on the left side. It even comes before the “All” tab that serves the primary search results. Generally, Google will dynamically show search modes and tabs under the search bar based on the query. So if Google thinks you will want to see the video tab, Google may show that closer to the “All” tab. But with AI Mode, that tab is shown before the “All” tab and always on the left, consistently, for all queries. What it looks like. Here are a few screenshots showing how the AI Mode tab is always on the lef…

Table of contents What is content summarization? Manual or human-driven content summarization AI-driven content summarization What are some of the core benefits of content summarization? Why summarization matters in the modern content landscape? Information overload People scan and skim, so clarity wins Trust and clarity for readers and systems Faster decision-making Prominent use cases of content summarization Business reports Educational content Marketing strategies and reporting Everyday consumption: news digests, newsletters, podcast notes Content Summarization & SEO: Does it Benefit in Boosting Organic Visibility? Boosting click-through rates Improving…

LLMs like ChatGPT, Gemini, and Claude now sit across search, content generation, and recommendations. Now, 80% of tech buyers rely on generative AI at least as much as traditional search to research vendors, according to a Responsive survey of B2B buyers. This effective transfer of trust in AI discovery has become an enablement tool for B2B buyers, quietly deciding which brands get remembered and which get ignored. And those decisions, once invisible, are now measurable. Previsible has been studying this shift through a new lens called LLM perception drift, the month-over-month change in how AI models reference and position brands inside a given catego…

With new updates in the search world stacking up in 2026, content teams are trying a new strategy to rank: LLM pages. They’re building pages that no human will ever see: markdown files, stripped-down JSON feeds, and entire /ai/ versions of their articles. The logic seems sound: if you make content easier for AI to parse, you’ll get more citations in ChatGPT, Perplexity, and Google’s AI Overviews. Strip out the ads. Remove the navigation. Serve bots pure, clean text. Industry experts such as Malte Landwehr have documented sites creating .md copies of every article or adding llms.txt files to guide AI crawlers. Teams are even building entire shadow versions…

One of the biggest challenges in AI search is that visibility is being shaped by systems you can’t directly observe. Nothing like Google Search Console exists for ChatGPT, Claude, or Perplexity. No reporting layer showing what’s crawled, how often, or whether your content is considered at all. Yet these systems are actively crawling the web, building datasets, powering retrieval, and generating answers that shape discovery — often without sending traffic back to the source. This creates a gap. In traditional SEO, performance and behavior are connected. You can see impressions, clicks, indexing, and some level of crawl data. In AI search, that feedback loop doe…

One of the most dependable ways to grow organic visibility was to publish more content. Expanding into the long tail and creating pages around different variations of a topic often led to steady traffic growth. Many SEO teams still operate with this mindset. Content calendars are built around search volume targets, and growth is often equated with how much new content is produced. The problem is the results no longer reflect the effort. In many cases, adding more pages doesn’t lead to increased visibility and can even dilute overall performance. Large content libraries are harder to maintain, compete internally, and often result in fewer pages surfacing in search …

There’s a dangerous misconception in B2B marketing that video is just a “brand awareness” play. We tend to bucket video into two extremes: The “viral” top-of-funnel asset that gets views but no leads. The dry bottom-of-funnel product demo that gets leads but no views. This binary thinking is breaking your pipeline. In my role at LinkedIn, I have access to a unique view of the B2B buying ecosystem. What the data shows is that the most successful companies don’t treat video as a tactic for one stage of the funnel. They treat it as a multiplier. When you integrate video strategy across the entire buying journey – connecting brand to demand – effectivene…

I’ve spent over 20 years in companies where SEO sat in different corners of the organization – sometimes as a full-time role, other times as a consultant called in to “find what’s wrong.” Across those roles, the same pattern kept showing up. The technical fix was rarely what unlocked performance. It revealed symptoms, but it almost never explained why progress stalled. No governance The real constraints showed up earlier, long before anyone read my weekly SEO reports. They lived in reporting lines, decision rights, hiring choices, and in what teams were allowed to change without asking permission. When SEO struggled, it was usually because nobody rightfull…

Video advertising has never been easier to distribute. Platforms can deliver impressions and views at an enormous scale across YouTube, paid social, short-form video, and connected TV. But distribution isn’t the same as effectiveness. Many campaigns generate impressive platform metrics while producing little measurable business impact. The problem usually isn’t targeting, budget, or platform choice. It’s a deeper strategic issue: campaigns are optimized for outputs like views and impressions rather than outcomes like attention, persuasion, and action. Most video ads fail because they misunderstand attention Poor targeting, limited budgets, and platform choi…

The latest benchmark results reveal a surprising drop in SEO accuracy from top AI models. TL;DR: The latest flagship AI models (Claude Opus 4.5, Gemini 3 Pro) have statistically regressed in performance for standard SEO tasks, showing a ~9% drop in accuracy compared to previous versions. This isn’t a glitch – it’s a feature of how models are now optimized for deep reasoning and “agentic” workflows rather than “one-shot” answers. To survive this shift, organizations must stop relying on raw prompts and move to “contextual containers” (Custom GPTs, Gems, Projects). The ‘newer = better’ myth is dead Last year, the narrative was linear: wait for the n…

As an SEO professional, you’re often asked to solve what appears to be a technical problem: organic traffic is declining. Standard procedure is a deep dive into technical performance, algorithm updates, technical debt, or content gaps. You review logs, crawl the site, and check Google Search Console. But what happens when the data reveals that the root cause isn’t found in the sitemap, the content, or the backlink profile — but is instead located in the boardroom, the warehouse, and the customer service department? Not long ago, I audited a portfolio of ecommerce properties in a highly regulated niche. These brands were pandemic-era superstars. They had performed …

New technologies come and go. Early in my career, I often chased shiny new things in an attempt to be on the cutting edge, but it didn’t take more than a few years to realize I was spending countless hours of my time, and my clients’ time, implementing technologies and techniques that went by the wayside. Google Authorship, anyone? It turns out that if you simply wait for wider — but still early — adoption, learn from the first movers’ mistakes, and catch up quickly, you can avoid wasting time and create greater value for yourself and those you serve. That lesson has served me well. And then there are those key moments where the early movers stand to not just win …

For years, OpenAI set the pace of the generative AI revolution with ChatGPT. Their partnership with Microsoft seemed unbeatable, coupling innovation and enterprise distribution. However, the lead they once held is now in the balance. Faced with evidence that Google’s Gemini has not only caught up but surpassed capabilities in critical areas, OpenAI CEO Sam Altman made a dramatic decision by declaring an internal “code red.” Doing so paused all non-essential initiatives to focus exclusively on ChatGPT’s quality. The most significant casualty of this shift was OpenAI’s plan to introduce advertising into ChatGPT. It’s important to note that OpenAI’s ad…

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…

Every few weeks, someone publishes a piece about AI agents taking over Google Ads, SEO, or social media. Inevitably, the agents look impressive — in theory, at least. But then you dig deeper to determine what data the agent is working with. Almost always, the answer is the same. These agents typically work with data that’s native to the platform. For Google Ads, that means impressions, clicks, conversions, and return on ad spend (ROAS). This oversimplified approach is the reason AI agents in PPC often fail at the input layer, before they’ve made a single decision. An agent that has access to platform-native data only can’t truly manage your marketing. Why many…

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…

Like many people, you’re worried about losing your job to AI. Where do your “old school” PPC skills fit as AI agents take over more of the work? Relax. It’s not that binary. The focus is shifting toward data and strategy. From the outside, it looks like media buying is being automated away. But let’s set the record straight: it isn’t. The role is shifting (again). I’ve been working in PPC for over 15 years, and there’s nothing to be afraid of. The real question is: are you riding the wave or being left behind? Let’s map the current PPC landscape: ad network automation and, most importantly, where PPC teams create value today — the critical skill set…

If you entered PPC 20 years ago, testing was scientific, comforting, and one of the biggest reasons to run paid search campaigns. We proudly talked about all the data we collected. You had Ad X and Ad Y. You waited. You declared a winner. You paused the loser. It was a binary world of “Yes” or “No.” We used to swear that the title case descriptions outperformed sentence case descriptions. Or that putting a period at the end of a description line was the secret to performance. Today, if you apply that same rigid framework to Google Ads or Meta, you’ll fail. The world isn’t black and white. You can’t draw hard conclusions from most m…