Aleyda Solís

LLM SEO Blueprint: how to use Quora to capture AI answers Let’s break it down in 6 exact steps STEP 1: Reverse-Engineer LLMs' Sources Start by asking ChatGPT, Claude, Gemini, and Perplexity the same 10 questions in your niche → “Best CRM for solopreneurs?” → “Top tools for content automation in 2025?” Then look at which sites they cite → Quora? → Reddit? → Medium? → Personal blogs? Track what format is being pulled: → FAQs → Lists → Pros/cons → Short paragraphs Drop this into a Google Sheet to spot patterns The goal: know what style gets pulled and from where STEP 2: Quora Authority Funnel Pick 3 pillar topics Use Quora’s search bar or QuestionDB to find questions that match Answer 5–10 per week Use formatting like: → Bold subheads → Bullet points → Updated stats Make every answer feel like a blog post Subtly link out: → “I wrote a full breakdown here” → [link] Focus on being the first answer, use VisualPing to get notified when new questions drop Time matters. LLMs reward early + high-quality content STEP 3: External Citations + Link Echoes Take your best Quora answers and repurpose them into: → Reddit threads → Twitter/X posts → Medium blogs → LinkedIn carousels Link back to the original Quora thread Use HARO or Terkel to get featured on blogs using the same phrasing LLMs track citations, Repetition matters Ping Google by linking your Quora answer from your site + submitting it to Search Console STEP 4: LLM-Friendly Site Structure On your blog: → Add FAQ schema → Use bullet points and subheads → Add a “100-word summary” block → Embed tables or lists Example: → https://lnkd.in/dsHKJxRf Make your blog look like something an LLM wants to pull from STEP 5: Win AI Overviews + Featured Snippets Find keywords with AI snapshots in search Answer the core question in 40–60 words Then expand below This helps you win snippets + LLM visibility at the same time Tools like SurferSEO can show if you’re hitting the right structure STEP 6: Feedback Loop + Monitoring Ask ChatGPT and Claude your target questions weekly → “What’s the best CRM for freelancers in 2025?” See if your Quora answers or blog posts are being cited Track traffic spikes to those posts Set up alerts with Zapier or Google Alerts using your name + keywords If you're not being mentioned, tweak your titles, intros, and structure Pro Tip: Build a Quora Space Post your best answers Invite contributors Make your Space a hub for your niche LLMs may pull from it as a trusted source

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Google can only rank pages it can index. (Here’s how to fix website indexing issues.) You publish a blog. It looks great. But it never gets traffic. Why? Because indexing issues often hide in plain sight: → Pages crawled but never indexed → Content blocked by robots.txt → Errors buried deep in Google Search Console All in One SEO (AIOSEO)’s Index Status Report brings all your indexing data into WordPress ↳ so you can stop guessing and start fixing. Here’s how it helps your content show up in search: 1. Get index visibility in one dashboard • Instantly see which pages are indexed or blocked • Filter by status and find issues in seconds 2. Understand what’s blocking your content • Noindex tags, robots.txt, crawl errors • Know the why behind every issue 3. Take action without switching tools • See crawl status, canonical tags, sitemap data • Inspect pages in Search Console right from WordPress 4. Track rich results eligibility • Check schema and snippet status • Optimize for higher CTR with structured data 5. Prioritize what matters most • Filter by post type, category, crawl behavior • Focus on high-impact content first You don’t need 3 different tools or hours of manual checks. Just update to AIOSEO Pro → Version 4.6.0+ And get all your indexing insights in one place. 📌 Try AIOSEO: https://aioseo.com/ 🔄 Repost to help others with SEO #AIOSEO #WordPressSEO #SEO #GoogleIndexing #SEOTools #DigitalMarketing #ContentMarketing #NewFeature #AIOSEOPartnership #SponsoredByAIOSEO

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27 SEO Actions for Blog Posts That Actually Rank: You can spend 6 hours writing a blog post… …and still get zero traffic. That’s the painful truth: The problem usually isn’t your ideas. It’s missing the simple steps that make a blog both rankable and readable. Common misses I see: - Targeting keywords with no real buyer intent - Headlines that never earn the click - Walls of text with no structure - Articles that answer half the question and send readers back to Google Sound familiar? You’re not alone. The good news: you don’t need fancy SEO hacks. Just nailing the fundamentals is enough. I pulled together 27 actions that make the difference between a blog that gets ignored and one that brings traffic in every month. → Full checklist is in the image. And if you want to see exactly where your blog is falling short, Maverank runs a full SEO audit in 60 seconds. 👉 Try it FREE for 7 days: https://maverank.com

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You can filter traffic from AI tools directly in GA4 - and you probably should 👀 Here's the segment to isolate them: Go to Explore → Create new exploration → Add segment → Session segment Session source/medium matches partial regex: chatgpt\.com|gemini\.google\.com|perplexity\.ai|openai\.com|bard\.google\.com|you\.com|claude\.ai|bing\.com.*gpt|anthropic\.com This catches users coming from: ✅ ChatGPT (when it recommends your site) ✅ Perplexity search results ✅ Google Gemini suggestions ✅ Claude's browsing feature ✅ Bing Copilot answers ✅ You.com AI search Applied this to client accounts yesterday. The findings were interesting: - B2B SaaS: 8% of traffic from AI tools (2.3% conversion rate!) - Recipe blog: 14% from AI tools (they're asking for recipes) - Local plumber: 0.3% (AI isn't recommending plumbers... yet) - Tech documentation: 9% (developers using AI for research) The fascinating bit: ↪️ These users convert differently ↪️ They browse differently (straight to the point) ↪️ They're often higher intent (already qualified by AI) ↪️ One client's ChatGPT traffic had a 4.1% conversion rate vs 1.8% site average 🤯 Create two segments: "AI Tool Traffic" - to analyse behaviour "Exclude AI Tools" - for traditional channel analysis This isn't about removing "bad" traffic. It's about understanding a completely new traffic source that didn't exist 2 years ago. Your attribution models don't account for "AI recommended us" yet. Maybe they should 🤖

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Most websites are structured for 2010 SEO. This structure ranks on Google AND also gets cited by AI engines: 🏗️ THE AI-READY SITE STRUCTURE SYSTEM 1️⃣ Topic Cluster Architecture ⤷ Build pillar pages for broad topics ⤷ Surround with 8-12 supporting pages ⤷ Link contextually with semantic anchor text ⤷ AI models prioritize topical authority over keyword density 2️⃣ Schema Markup Everywhere ⤷ JSON-LD for articles, products, FAQs ⤷ Organization and website schema ⤷ Review and rating markup ⤷ AI search engines rely heavily on structured data 3️⃣ 3-Click Rule Implementation ⤷ Every important page accessible in 3 clicks max ⤷ Flat architecture beats deep hierarchies ⤷ AI crawlers have limited budget per site ⤷ Buried content = invisible content 4️⃣ Contextual Internal Linking ⤷ Link related topics semantically ⤷ Descriptive anchor text only ⤷ Connect new content to established pages ⤷ Think relationships, not just navigation 5️⃣ Mobile-First AI Optimization ⤷ 73% of AI search happens on mobile ⤷ Page speed under 2.5 seconds ⤷ Core Web Vitals as ranking factors ⤷ Responsive design that actually works 6️⃣ Semantic Heading Structure ⤷ H1, H2, H3 hierarchy for content chunking ⤷ AI systems pull sections marked by clear headings ⤷ Semantic clarity helps LLMs understand content ⤷ Structured content = higher snippet & AI answer eligibility 7️⃣ AI-Specific Monitoring ⤷ Track featured snippet captures ⤷ Monitor voice search rankings ⤷ Measure zero-click search performance ⤷ Analyze AI platform citations The difference? Sites following this framework rank in both traditional Google results AND get cited by AI platforms. My client's SaaS site went from page 3 to featured snippets in 6 weeks using this exact structure. The brands implementing this are already seeing 40-60% improvements in AI search visibility. The websites that adapt to AI search now will dominate the next 5 years.

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"Customer stories are better down funnel." One of the broad lies of B2B. Social proof makes really powerful ads. Check it 👇 𝘍𝘰𝘳 𝘵𝘩𝘦 𝘳𝘦𝘢𝘥𝘦𝘳𝘴 𝘰𝘧 𝘓𝘪𝘯𝘬𝘦𝘥𝘐𝘯, 𝘩𝘦𝘳𝘦'𝘴 𝘢 𝘲𝘶𝘪𝘤𝘬 𝘴𝘶𝘮𝘮𝘢𝘳𝘺. 𝟭) 𝗠𝗮𝗽 𝗼𝘂𝘁 𝘆𝗼𝘂𝗿 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝘁𝗲𝘀𝘁𝗶𝗺𝗼𝗻𝗶𝗮𝗹𝘀 𝘁𝗼 𝘆𝗼𝘂𝗿 𝘁𝗮𝗿𝗴𝗲𝘁 𝘃𝗲𝗿𝘁𝗶𝗰𝗮𝗹𝘀 People look for themselves in customer stories. That's really it. So your video ad library of customer stories should cover your verticals evenly. (Big logos aren't everything) 𝟮) 𝗔𝘀𝗸 𝘁𝗮𝗰𝘁𝗶𝗰𝗮𝗹 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀; 𝗻𝗼𝘁 𝗷𝘂𝘀𝘁 𝗿𝗲𝘀𝘂𝗹𝘁𝘀 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 It's easy to fall into this trap. "Make sure the story is all about the results the customer sees!" But the thing is, for ads, no one cares about results. They want to understand the product. So you need to include questions in your interview process where your customer talks about how they use the product. Then... 𝟯) 𝗜𝗻𝗰𝗼𝗿𝗽𝗼𝗿𝗮𝘁𝗲 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 𝗳𝗼𝗼𝘁𝗮𝗴𝗲 𝗶𝗻𝘁𝗼 𝘁𝗵𝗲 𝗲𝗱𝗶𝘁 We're talking ads here. Ads need to show the product. Use the footage from your customer explaining how they use your software and layer in animations of your software to illustrate their points. That's what Gong does in their ads, and it makes them really strong. OK Connor out :*

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