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Your Extended In House Marketing Team for GTM, Demand Gen and Growth We help you scale your scale your pipeline with our collective 20+years of experience in marketing and sales Talk to Expert 📈 25K → 45K Monthly Organic Traffic Growth 👥 580+ Average Monthly Signups 🎯 9,109 Total Signups Generated 💲 $101 Avg. CPC from $922,734 Budget 🎯 Real Results. Real Impact. Driving growth that matters for B2B SaaS companies. Let’s Drive Similar Results for You ➜ The SaaS SEO Playbook: How to Win MQLs on Google and AI in Under 90 Days August 25, 2026 1:38 pm Author’s Dilip Kumar Founder and Marketing Director Dhanasekar G Co-Founder & CMO How B2B SaaS companies can turn search visibility into pipeline in the age of AI Introduction: SEO is Not Dead, But Search Results Are You can rank #1 and still lose the click.  How? Well, Google can answer the question before anyone reaches your site. ChatGPT, Perplexity, and Gemini can recommend three vendors without a single blue link involved.  This guide will break down my personal experience as CMO that drives MQLs using SEO and GEO strategies that actually work for B2B SaaS companies in 2026. To start out, your buyers are often a buying committee of five or more people, from the RevOps lead evaluating integrations to the CFO scrutinizing the contract, who are already there, asking AI to research, compare, and shortlist software. This is all before a single one of them fills out a demo form. The data shows that AI Overviews cut organic click-through rates by more than half on the exact same query, and zero-click search is now the default outcome for a majority of Google searches. That’s the issue this playbook is built around. Visibility is harder to earn and worth more once you have it. The goal isn’t simply to rank anymore – It’s to become the source Google and AI systems use to answer the question and be the company Google recommends. So here’s the 90-day playbook for doing both: winning traditional rankings and earning a place inside the AI-generated answer, without treating them as two separate jobs. First, Understand What Changed Search has moved through four eras: ten blue links ranked by keywords and backlinks, then semantic search that understood intent, then AI-generated answers synthesized from multiple sources, and now multi-source recommendation engines that skip the results page entirely. Each shift stacked on top of the last rather than replacing it. Behind the scenes, both Google and the major AI platforms now use “query fan-out”: a single prompt gets broken into several concurrent sub-searches so the system can pull the best passage for each sub-question before writing a unified answer. Google still matters Crawlability, relevance, and authority remain the foundation. Generative engines still pull most of their source material from Google’s own index. AI Overviews changed the SERP Google now synthesizes an answer from multiple sources before a user sees a single organic listing, on roughly half of all US searches, and the coverage is highest in exactly the vertical B2B SaaS lives in. In fact, technology-related queries trigger an AI summary at a notably higher rate than the average category. Google’s own guidance on AI features confirms the same eligibility and quality signals from traditional search still apply underneath. ChatGPT/Perplexity changed the buying journey Buyers ask “What’s the best CRM for a 50-person SaaS company?” instead of “best CRM software,” and get a shortlist back, not a list of links. In B2B SaaS this shows up earlier than most teams expect: a technical evaluator asks AI “does [category] support SSO and SOC 2?” before a call is ever booked, and a finance stakeholder asks “what’s a typical ACV for [category] at our headcount?” long before procurement gets involved. Multiple people on the buying committee are having these conversations with AI in parallel, and each one shapes the shortlist your sales team eventually sees. The new search funnel Search → AI answer → shortlist → validation → website → conversion. Every step in this playbook maps back to this funnel. SEO vs AEO vs GEO: Stop Treating Them Like Separate Strategies Three disciplines now govern visibility: Discipline Goal What you’re optimizing for SEO Rank in Google Search visibility AEO Become the answer Extractable answers GEO Get recommended by AI Entity authority + mentions SEO gets you crawled and ranked. AEO gets your content pulled into featured snippets and AI Overviews as a direct answer. GEO gets your brand cited or recommended inside ChatGPT, Perplexity and Gemini responses, whether or not there’s a link attached. The smartest SaaS strategy isn’t choosing SEO OR AEO OR GEO. It’s building pages that can perform across all three: crawlable and ranked, structured for extraction, and backed by enough brand signal that AI trusts you as a source.  Search Engine Land’s optimization guide makes the same point: these go beyond sequential upgrades –  they’re overlapping requirements for the same page. Step 1: Stop Chasing Traffic. Find Your Money Prompts Start with bottom-funnel searches “[category] software” “best [category] software” “[competitor] alternatives” “[product] vs [competitor]” “[category] for [specific industry]” “[category] pricing” Then find the prompts buyers ask AI “What’s the best [category] platform for a mid-market SaaS company?” “Compare [brand] vs [competitor] for enterprise teams.” “What should I look for when choosing [category] software?” “Does [brand] integrate with [common tool] and support SOC 2?” Mine sales calls for the language Pull real phrasing from sales calls, objections, customer success conversations, demos and lost-deal reasons.  In B2B SaaS, this is where the real money prompts live. Simply put, its the security questionnaire language, the integration requirements, the “why did we lose to [competitor]” debrief.  Don’t invent AI prompts in a keyword tool. Find the questions your buying committee actually asks, in their own words, at every stage from technical evaluator to economic buyer. Step 2: Map Your Buyer Journey to Search Intent TOFU — Problem discovery: “How do I solve X?” MOFU — Solution research: “How does

Your Extended In House Marketing Team for GTM, Demand Gen and Growth We help you scale your scale your pipeline with our collective 20+years of experience in marketing and sales Talk to Expert 📈 25K → 45K Monthly Organic Traffic Growth 👥 580+ Average Monthly Signups 🎯 9,109 Total Signups Generated 💲 $101 Avg. CPC from $922,734 Budget 🎯 Real Results. Real Impact. Driving growth that matters for B2B SaaS companies. Let’s Drive Similar Results for You ➜ How to Rank in Google AI Overviews: A Playbook for SaaS Content Teams July 20, 2026 12:15 pm Author’s Dilip Kumar Founder and Marketing Director Dhanasekar G Co-Founder & CMO TL;DR – Summary: Ranking in AI overviews is a lot more likely if you rank in the top 10 positions of SERP. But also, depends on how much your brand is mentioned related to this topic off site. AI overviews does not drive conversions but should be looked at as a brand awareness channel Query based questions trigger AI overviews a lot higher. This means building things like glossary pages are helpful to help you rank in them. AI-generated answers link to at least one top-10 domain in over 92% of cases. Meaning ranking higher definitely improves chances.   Ranking in Google’s AI Overviews comes down to four things: your page already ranks in the traditional top 10, it answers one question precisely, your domain shows depth across a whole topic instead of one lucky post, and your brand gets talked about off-site too. That’s it – no plugin, no secret prompt, no growth hack. This playbook is written for SaaS marketers specifically, not generalist SEO agencies. Here’s the useful part: research across 146 million SERPs found that roughly 76% of AI Overview citations also hold a traditional top-10 spot, with a median position of 2. So essentially, SaaS companies need to win the fundamentals first – everything below is about layering AIO visibility on top of that. What Counts as “Ranking” in an AI Overview Let’s clear up a common misconception first: there’s no position #1 inside an AI Overview, the way there is in classic search results. Google either cites your page by linking your URL directly inside the AI-generated box, or it mentions your brand by name without linking anywhere. Citations link directly to your URL and drive traffic. Mentions name your brand without a link and build brand association, even when nobody clicks. AI Overviews aren’t static. Refreshing the same query can surface a different set of sources, especially ones tucked behind “Show more” or “Show all,” so don’t build your reporting around chasing one fixed rank. According to SearchEngineLand, AI Overviews include citations from three or more sources around 88 percent of the time, although just 1 percent of users click any citation link, and people only read the first few lines of content before switching. AI Overviews exist within normal search results, but AI Mode is a distinct conversational interface optimized for multi-session research purposes, such as evaluating five products before scheduling a demo.   Why This Matters More for SaaS Than You Think Here’s the section most AIO guides skip, because it’s specific to how SaaS buyers actually behave. B2B buyers increasingly start their research inside AI answer engines instead of typing a brand name straight into Google. By the time someone lands on your pricing page, they’ve often already read a summary of your category, your competitors, and KNOW what good looks like. But here’s what to keep in mind with this: AIO visibility should NOT be looked at as a last-click conversion channel. It’s an awareness and consideration play, closer to category education than lead gen, so set that expectation with stakeholders early. A Reddit thread in r/marketing summed it up well: AI Overviews provide visibility, not traffic, and treating the two as the same thing makes a working strategy look like underperformance. Your docs, integration pages, comparison pages, and glossary already look like the structured, definitional content AI systems are built to extract. You don’t need new content types, you need to stop wasting the ones you already have. Step 1 — Target the Right Query Types Not every keyword triggers an AI Overview, and chasing the wrong ones wastes your team’s limited hours. Question-based, “why,” yes/no, and definition queries trigger AI Overviews far more reliably than short transactional searches. “Buy CRM software” is far less likely to surface a summary than “why is my CRM data not syncing,” since Google saves that top slot for product listings and ads instead. Ignore any suggestions related to using a keyword tool. The best place for you to get authentic questions is from your existing customer support tickets, call transcripts, and discussion forum conversations. Use the actual language that your customers use to ask questions when they have issues. This is a lot more likely to be realistic than anything you can pull from a keyword tool. Query Types and Trigger Rates Query Type AIO Trigger Rate SaaS Example Query Question-based 57.9% “why is my CRM data not syncing” Definition / “what is” High “what is a workflow automation tool” Comparison / “vs” Moderate-High “what is the difference between X and Y software” Yes/No Moderate “is [category] software worth it” “Best of” / roundup High (commercial) “best project management software for remote teams”   Step 2 — Win Traditional Top-10 Rankings First There’s no AIO shortcut that skips traditional rankings, because AI Overviews pull from Google’s existing search index rather than crawling the live web on the fly. If your page isn’t indexed and ranking well already, it isn’t eligible for a citation, full stop. Anastasia Kotsubynska, an organic strategist at SE Ranking, found that AI-generated answers link to at least one top-10 domain in over 92% of cases, and pull information directly from top-10 pages roughly 63% of the time. A popular r/SEO thread reached the same conclusion from a different angle. Normal SEO fundamentals still work for AI Overviews, and there’s

Your Extended In House Marketing Team for GTM, Demand Gen and Growth We help you scale your scale your pipeline with our collective 20+years of experience in marketing and sales Talk to Expert 📈 25K → 45K Monthly Organic Traffic Growth 👥 580+ Average Monthly Signups 🎯 9,109 Total Signups Generated 💲 $101 Avg. CPC from $922,734 Budget 🎯 Real Results. Real Impact. Driving growth that matters for B2B SaaS companies. Let’s Drive Similar Results for You ➜ AI Visibility for B2B SaaS: AEO, GEO, and AI SEO Explained July 16, 2026 6:39 am Author’s Dilip Kumar Founder and Marketing Director Dhanasekar G Co-Founder & CMO TL;DR Up to 68.01% of Google Searches ended with zero clicks meaning AI extraction requires your page to have multiple cited sources and accessibility to AI bots. The average cited page by LLMs has an average of 19 or more specific metrics cited. Citations and brand mentions need to be prioritized through PR posts, community forums, and other platforms. To remain visible to AI crawlers, websites must bypass complex client-side rendering and inject 40-to 60-word standalone answer capsules   AI visibility for SaaS comes down to covering the best practices of its three components, namely AEO, GEO, and SEO. This is influenced by citations and brand mentions in community forums. Along with this, authoritative answers from verifiable sources are also prioritized. But what is the issue here? Well, generative AI search has made traditional SEO a lot less effective. This leaves everyone with the problem of dealing with how they can get AI visibility online. So if you’re a SaaS founder or marketer, and this is something you’re facing, here’s how AI search optimization helps that. What’s Actually Changed with ChatGPT, Gemini, Claude, and Google AI Overviews With AI software and overviews, what has changed is the criteria the algorithm ranks websites on. This is done by, RAG or retrieval augmented generation, which does not rely only on keywords but rather context and expertise. And more than this, Claude, Gemini, and ChatGPT prioritize experiential expertise in language, meaning: Google and AI look at whether this is an experience the writer has gone through and whether he has a solid understanding of how it plays out practically. But intent is higher – referrals from ChatGPT have 16% conversion rate as opposed to traditional 1 – 5% on traditional websites Google even mentioned in May 2026, AI Mode and AI Overviews prioritize actionable information from experts. Typically, those on community forums or social media are looking at quotes, links, or stats that validate this information.   SEO vs. AEO vs. GEO: What’s the Difference? SEO, AEO, and GEO are three components that make up AI visibility online. However, there are differences between the three in terms of how they work and the value they add. AEO : AEO, or answer engine optimization, where your website shows up in direct answers and AI overviews. GEO : In terms of GEO or generative engine optimization, you can define that as where LLMs like Chat GPT, Claude, and Gemini are inclined to retrieve your website as a citation source or even as an expert in a specific field. SEO : Traditional SEO is how well your website ranks on search engines like Google or Bing. This is driven by keywords and backlinks. along with the topics your website shows you’re an expert in. The Main Differences Between SEO, GEO, and AEO Unlike traditional SEO, leads from generative search traffic are a lot more highly qualified. In fact, AI referrals convert to leads at 14.2% to 15.9%, which is a lot less when compared to standard organic search, which has 1.76% to 2.8% AEO is about helping users get answers and information rather than storytelling, looking for actual, actionable insights and information that help them immediately Generative search displays a massive freshness bias. This is seen when compared to traditional SEO. What this means is that it gives pages updated within the last 90 days a 3.2x multiplier in citation frequency. A lot more than SEO, to get Generative Engine Optimization or GEO citations, you need to have brand representation. This is ideally in pages that are not your own. And to do this, have an entity-rich GEO strategy.   Why Do SaaS Blogs Struggle with GEO and AEO? The main reason SaaS blogs struggle with GEO and AEO is that core algorithms and spam updates systematically prioritize legacy brands. This means brands that have had an impact over the last decade or more years, rather than newer blogs or SaaS companies, are prioritized. These updates are systematically pushing AI visibility for SaaS to lower search results. But aside from some of these, some of the main reasons SaaS companies struggle with AI visibility are: Unrelated Headings Based on Outdated SEO: Many companies bury answers behind keyword-heavy content instead of addressing user intent. AI platforms prefer content that provides clear, direct, and easy-to-read answers. Blocking AI Bots: Many CDNs and website configurations unintentionally block AI crawlers from accessing content. Review your robots.txt file and crawler settings to ensure AI bots can index your pages. Content Isn’t Optimized for AI Extraction: AI systems prioritize factual, structured content over lengthy introductions and unnecessary filler. Use concise answer blocks, clear headings, and well-organized sections that improve AI extractability. Outdated Content: Large Language Models tend to reference recently updated content. Blogs refreshed within the last 13 weeks with new statistics, citations, and expert insights have a higher likelihood of being referenced by AI search engines. Not Enough Data: Afraid of losing link equity, SaaS companies do not add external links and stats. An AI-retrieved page has an average of 19 verifiable stats or research metrics. Generative Slop: CEOs and Managers think output is everything. But the reality is that modern algorithmic filters look at experienced expertise and honest answers. Shameless promotion in SaaS content and generic AI-generated content prevents this. No Community Forum Footprints: Generative AI looks at community forums like Reddit and