Improving Brand Visibility with AIO Tools

Everyone's freaking out about GEO, LLMO, and AEO. After 7 months of running tests across tons of sites… I can tell you this: It's all built on SEO fundamentals. The same principles that rank you on Google also get you cited in ChatGPT, Claude, and Perplexity. So before you buy into shiny new tactics that promise “AI visibility”…here's what actually moves the needle: 1. Trust Signals AI tools pull from review platforms to assess business credibility and expertise. Build trust signals in the right places: - Local businesses: prioritize Google Business Profile reviews and responses - SaaS companies: maintain strong G2 and Capterra profiles  - Ecommerce: focus on Trustpilot or industry-specific review platforms - Respond to reviews professionally and keep profiles updated 2. Document Structure LLMs love well-structured documents. Instead of optimizing just for human readers, structure content for AI platforms too: - Add company context throughout documents. Instead of "our latest update," write "Acme Corp's Q4 2024 update" - Use clear headings and comprehensive sections that can stand alone - Include key facts in multiple formats (inline text, bulleted lists, data tables) 3. Link Building for Relevance Quality and topical relevance matter more than quantity for AI visibility. Focus your link building efforts: - Target industry-relevant sites where your brand mention makes logical sense - Pursue guest posts and collaborations within your industry - Don't ignore nofollow links from high-authority sites in your niche - Seek brand mentions even without direct links. (the mention itself carries weight) Avoid completely unrelated sites. 4. Topical Authority Still Rules LLMs are trained on the same web content that Google indexes. The more deep, high-quality content you publish around your niche, the more AI systems recognize you as the go-to source, the more you get mentioned. Take out the trash. Delete random blog posts about topics unrelated to your business. They're actually hurting your AI visibility. 5. Be everywhere LLMs crawl Repurpose your content across Reddit, Medium, LinkedIn, and YouTube. These platforms get crawled heavily by AI, and showing up on them regularly builds brand visibility. LLMs love patterns. The more places they see you, the more they assume you’re an authority. 6. Technical setup - Use HTML-driven pages - Add schema markup - Clean site architecture (no page more than 3 clicks from homepage) - Ensure your critical content loads server-side (most AI crawlers don't render JavaScript) 7. Traditional Search Feeds AI Most AI tools use Bing or Google's index for real-time data. Better search rankings directly improve AI visibility.

Google’s AI Mode is quietly rewriting how B2B visibility works. Kevin Indig’s new usability study of AI Mode (link to the Growth Memo edition in comments) confirms what many of us suspected. ‼️ User behavior has shifted far more radically than most brands realize. • 88% of users focus on the AI-generated text first. • Clicks to external sites are close to zero in informational queries. • Inline links (within the text) outperform citation icons by 27%. • And the single strongest influence on what users trust or buy? Brand familiarity. This matters because in B2B tech, we’ve built visibility frameworks on a model that’s disappearing, where organic search drove discovery, evaluation, and conversion through content journeys. In AI Mode, those journeys now happen inside the SERP. Your content may never get the click. Your brand will. That means two strategic shifts for tech marketers: 1. From keywords to entities.        AI Mode surfaces “trusted sources,” not optimized pages. If your brand isn’t seen as authoritative in its category, you’re not even in the conversation.    E-E-A-T signals and entity consolidation are becoming the real distribution levers.     2. From traffic to trust.        Measuring success by CTR or sessions will soon look archaic. The new KPI is in-SERP visibility, how often your brand appears (and is quoted) inside AI Mode responses. Think of it as brand-level share of voice across machine-generated outputs.     The takeaway for B2B growth leaders is uncomfortable but clear: ‼️ Stop fighting for page-one rankings that no longer drive the behavior you’re optimizing for. Start investing in the brand authority that determines whether AI Mode quotes, cites, or ignores you. AI Mode kills weak brands. Don't be that brand.

Google Gemini’s deeper AI Overviews integration is more than a tech upgrade. Because it’s changing how B2B buyers discover and evaluate brands. As AI summarizes answers directly in search results, decision-makers spend less time clicking through multiple pages. This means fewer lead opportunities on traditional websites. But more importance in owning authority within AI-generated insights. For marketers, this signals a shift from chasing clicks to building trust signals that AI systems recognize & prioritize. Your brand’s visibility now depends on being an indispensable, credible source cited within AI summaries. The question: How do you build pipeline influence when prospects may never visit your site? The answer: Optimize content for AI understanding, ensure data credibility, and align messaging to answer buyer intent precisely. So AI systems highlight your brand as the go-to expert. The evolving landscape is so fast. Is B2B marketing about driving traffic alone now? No, it’s about owning presence inside the AI-powered customer journey. How is your brand coping with this shift?

Most companies think they're visible in AI search because they rank on Google. Meanwhile, ChatGPT is recommending their competitors to buyers who never even visit search engines. AI visibility and search visibility are completely different games. You can rank #1 for your target keywords and still be invisible when prospects ask Claude for tool recommendations. We learned this the hard way while tracking citation patterns for uSERP clients. Companies with strong Google rankings were getting zero AI mentions, while lesser-known brands with structured content were being cited consistently. The problem: Most companies are flying blind when it comes to AI visibility. They have no idea how often (or if) their brand appears in LLM responses. Here's how to actually measure your AI visibility 👇 1. Test AI mentions frequency by querying ChatGPT, Claude, and Perplexity with your key buyer questions. How often does your brand appear in responses? Track this consistently across different query types. 2. Check entity consistency to verify your brand appears uniformly across platforms. Unified author bios, SameAs schema, and Organization markup help LLMs recognize and cite you correctly. 3. Audit content structure by reviewing your top pages for proper H1/H2/H3 hierarchy and JSON-LD schema. 4. Map community presence by assessing your mentions on Reddit, Quora, and industry forums — platforms that LLMs heavily reference for authentic opinions. 5. Validate high-trust citations by checking for mentions in .edu sites, respected publications, and Wikipedia. These sources carry exponential weight with AI systems. The companies that measure and optimize for AI visibility now will dominate discovery in 2025. The ones that don't will become invisible to buyers who never touch traditional search. What's your current AI visibility score? Are you tracking how often prospects see your brand in LLM responses? 👇

If SEO was optimizing for SERP position; AI Search is optimizing for probability. We're faced with a new reality - ask an AI search engine a question 10 times, get huge variance in the answers. We analyzed 45,000 AI citations across 800 queries and multiple answer engines. Here’s what we learned about visibility persistence in AI Search. 1) Volatility is normal - and designed in. ChatGPT and Google AI Overviews/AI Mode use query fan‑out (multiple related sub‑queries) and show a wider, more diverse set of links than classic search. Different runs = different sub‑queries = different supporting pages. This is on top of the probabilistic behavior (and temperature) of the models with natural variance. In third‑party testing, Google AI Mode’s URLs changed 91% of the time across three same‑day repeats of the same queries. Translation: treat visibility as a distribution, not a position. 2) Rotation ≠ penalty. Across runs, many brands that “drop” later resurface because the system re‑samples sources. This agrees with how answer engines pursue diversity (e.g., MMR‑style reranking) to avoid redundant sources while covering the topic broadly. 3) Citations and mentions have different durability. Citations show up as links; mentions are brand names in the answer text. In our dataset, mentioned brands were ~40% more likely to reappear across runs than brands that were cited but not named. Mentions are more durable. Engines’ sourcing preferences is platform‑specific (e.g., Perplexity skews to community content; ChatGPT overweights Wikipedia). 4) What reliably drives resurfacing (some highlights from my brightonSEO talk): Answer‑ready passages. Short, declarative, list‑style chunks align with how retrieval & rerankers select passages; “chunking” around headings yields better retrieval than long walls of text. Entity salience and clarity. Make the brand and product entities unambiguous and close to the claim (so the model can comfortably name you). Plain‑language structure. H2/H3 headings, bullets, and definition‑style lead sentences reduce ambiguity at passage level, which is how Google and most RAG systems evaluate relevance. Technical basics still win. Google: ensure you’re indexable, crawlable, and your structured data matches visible text. 5) How we measure success in AI Search needs to evolve Mention Rate: % of runs where your brand is named in the generated text. Citation Rate: % of runs where your URL/domain is linked. Resurface Rate: Share of “lost” queries that later re‑include your brand in subsequent runs within the same week. Diversity Share: How many distinct pages from your domain are pulled across runs (hedge against rotation). In AI Search, winning brands optimize for repeated selection under stochastic sampling, not a single static position.

People don't search the way they used to. They're not opening 7 tabs anymore. They're asking ChatGPT, Perplexity, Claude. Getting an answer. Asking a follow-up. Going deeper. And here's the thing: 95% of B2B buyers will use AI tools during their purchasing journey this year. AI is reshaping your brand story right now. The question isn't whether it's happening. It's whether you're guiding it, or letting AI make it up. Here’s what’s really happening: Research from Columbia University shows that leading AI models provide incorrect answers to over 60% of queries. If your site isn’t optimized for AI-driven search, you may not just be overlooked – you might be misrepresented entirely. But here’s the upside: visitors from AI-driven search are 4.4x to 23x more likely to convert than those from traditional SEO. The traffic volume is lower, but these visitors are incredibly qualified. Brands that act now will secure their position in AI search results. What can you do? 1. Prioritize content structure for AI Use clear heading hierarchies (H1, H2, H3). Provide direct, concise answers up front. Create topic clusters with one main piece supported by 5-10 related articles. 2. Focus on answering real questions Understand what your audience is asking. Address queries like “What is…?”, “How does…?”, or “Best tool for…”. Add detailed FAQs to your pages. 3. Get your technical setup in order Implement Schema markup (FAQ, Article, HowTo). Ensure your site loads quickly (under 2.5 seconds). Make sure AI crawlers are allowed in your robots.txt file. 4. Build authority in the right places Engage on platforms like Reddit, Quora, or LinkedIn. Publish original research. Include quotes from industry experts. Regularly update your content with timestamps to show relevance. 5. Test how AI sees your brand Search for your brand on tools like ChatGPT (in web browsing mode) and Perplexity. Review Google’s AI Overviews. Assess where your competitors show up in these spaces. Quick actions to take today: - Add FAQ schema to your key pages - Create an industry, persona specific pages - Start participating in niche conversations on Reddit or Quora - Refresh your top 5 pages with clear structure and updates - Display “Last Updated” dates on all content The landscape is shifting fast. And most of your competitors haven’t caught on yet. Every day you delay is another opportunity for machines to write your story – or worse, your competitor’s. What’s your biggest challenge with AI search right now? #AI #SEO #B2BMarketing #DigitalStrategy

50% of Google searches now result in AI summaries. Businesses must optimise content accordingly.  Ranking first in Google is no longer the only goal. AI engines are quickly gaining in popularity for discovery.  (ChatGPT, Claude, Perplexity, Gemini) If you want your brand to be visible across the board,  You need to put energy into optimising for AI-driven search (AEO/GEO). Google rankings can still bring traffic.  But AI-driven rankings are shaping recommendations and buyer intent. This is what businesses need to dominate search in 2025 👇 ➡️ Step 1: Be Found (SEO)  ↳ Search engines still matter, but they’ve changed. You need to: ✅ Nail the fundamentals: fast site, schema, structured data. ✅ Build clusters around full topics, not just keywords. ✅ Own authority with consistent on-page optimisation and backlinks. This is a prerequisite to entering the conversation. ➡️ Step 2: Be Chosen (AEO)  ↳ AI Overviews are now the front door of discovery. To win, you must: ✅ Optimise for voice queries, FAQs, and instant answers. ✅ Structure content so LLMs can “lift” your answers directly. ✅ Prioritise clarity, short snippets, and schema-rich responses. If you aren’t AI’s first choice, you will be invisible. ➡️ Step 3: Be Cited (GEO)  ↳ Generative engines reward those they can reference. To earn citations: ✅ Create high-trust, insight-led content. ✅ Publish data, original thinking, and frameworks AI can reference. ✅ Use prompt-led publishing to match how people query LLMs. If the machines don’t cite you, humans won’t find you. ➡️ Step 4: Be Scaled (AIO) ↳ AI has changed the economics of content. Scale comes from: ✅ Automating content production without losing voice. ✅ Repurposing into multiple formats (text, video, carousel). ✅ Using AI for editorial planning, clustering, and coverage. This is how you compete on volume without burning resources. ➡️ Step 5: Be Dominant (SXO) ↳ Winning in 2025 isn’t about ranking. It’s about owning the ecosystem: ✅ Stack SEO + AEO + GEO + AIO into one system. ✅ Dominate a niche with topic-layering across search, AI, and platforms. ✅ Push traffic off platforms into owned channels (newsletter, community). Search in 2025 is no longer a single-channel game. SEO is the foundation. But... → AEO earns you visibility in AI overviews.  → GEO secures citations inside generative engines.  → AIO and SXO let you scale and own the ecosystem. The businesses that start adapting now will catch this rising tide.   The ones that don't risk losing traffic and customers. That's exactly why I'm building Searchable.  It's an Autonomous SEO & AEO Growth Engineer. Join the waitlist here 👇  https://lnkd.in/epgXyFmi Have you started optimising for AI search?  Share your experience in the comments. - - - - 📌 If you want a high-res PDF of this sheet: 1. Follow Chris Donnelly. 2. Like the post. 3. Repost to your network. 4. Subscribe to: https://lnkd.in/eUTCQTWb

Your company might be invisible to your next customer. A CEO told me prospects can't find his company when they ask ChatGPT for recommendations. His company's website ranks well on Google. But in AI search? Nothing. 𝗛𝗲𝗿𝗲'𝘀 𝘄𝗵𝗮𝘁'𝘀 𝗵𝗮𝗽𝗽𝗲𝗻𝗶𝗻𝗴: • 89% of business buyers use ChatGPT to research vendors (Search Engine Journal, 2025).    • 72% B2B buyers see AI-generated answers in their Google searches (TrustRadius, 2025).    • 60% never click to visit any website (Bain & Company, 2025). 𝗧𝗵𝗲 𝗽𝗿𝗼𝗯𝗹𝗲𝗺: AI doesn't work like Google. It creates answers based on patterns it has learned. If your company isn't in those patterns, buyers never see you. I'm recommending the following approach to show up in AI search: 🔹 𝗣𝗿𝗼𝗯𝗹𝗲𝗺 𝗔𝘀𝘀𝗼𝗰𝗶𝗮𝘁𝗶𝗼𝗻: Your executive team writes about buyer trigger moments and market problems; building category entry point recognition.. AI learns to connect your brand with those problems. 🔹 𝗔𝗻𝘀𝘄𝗲𝗿 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: They write content that AI can easily find and use. Clear headings, simple answers, and organized information work best. 🔹 𝗘𝗮𝗿𝗻𝗲𝗱 𝗔𝘂𝘁𝗵𝗼𝗿𝗶𝘁𝘆: News sites, podcasts, and industry reports mention your company. AI trusts these sources more than your own website (Search Engine Journal, 2025). 🔹 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻 𝗔𝗺𝗽𝗹𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻: Your employees, partners, and customers share your content. This can boost your AI visibility by 40% (Princeton Research, 2024). 𝗧𝗵𝗿𝗲𝗲 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝗮𝘀𝗸 𝗮𝗯𝗼𝘂𝘁 𝘆𝗼𝘂𝗿 𝗰𝘂𝗿𝗿𝗲𝗻𝘁 𝗔𝗜 𝘀𝗲𝗮𝗿𝗰𝗵 𝗿𝗲𝗮𝗱𝗶𝗻𝗲𝘀𝘀: 1. Does AI know what problems we solve?     2. Is our Executive team publicly acknowledged as being connected to our industry's challenges?     3. Are we testing if AI recommends us? 𝗪𝗵𝘆 𝘁𝗵𝗶𝘀 𝗺𝗮𝘁𝘁𝗲𝗿𝘀: Buyers might choose competitors before seeing your company You could lose 15-25% of your website traffic (Bain, 2025) Companies moving now have a big advantage. Where does your company stand today? #brand #demand #GTM #AI  

Over the past few months, I’ve been diving into Answer Engine Optimization (AEO). Also known as GEO (Generative Engine Optimization) or LLMO (Large Language Model Optimization). Whatever name we give it, the main idea is pretty simple: How can we make our content the go-to answer for AI tools like ChatGPT, Perplexity, and Google AI Overviews? This isn’t just a future trend. It’s already changing how people search, find, and engage with content. So... how do we actually show up in these AI answers? Here’s what I’m learning and experimenting with right now: ➖ Use clear, question-style H2s and H3s (“What is…?”, “How does…?”) ➖ Lead with a short, factual answer (40–60 words), then expand with details ➖ Structure content for clarity: use bullet points, tables, comparisons, and step-by-step formats ➖ Add schema markup (FAQPage, Q&A, HowTo) to improve machine readability ➖ Mirror common user questions found in “People Also Ask” and tools like AnswerThePublic ➖ Create glossary and comparison pages for key terms, tools, or use cases Keep language clear and jargon-free to ensure AI models can understand and reuse your content I'm also exploring tools like Profound, Semrush’s AI toolkit, and Ahrefs’ AI Brand Radar to track brand presence in AI answers and using tools like Hotjar | by Contentsquare to spot traffic coming from ChatGPT or Perplexity. A few resources that have been particularly valuable: Profound’s AEO Guide for Marketers (2025) CXL’s in-depth AEO playbook Steve Toth’s thoughts on LLM Optimization Amsive’s reporting on AI-driven search behavior Andreessen Horowitz’s breakdown of the new AI search UX Araks Nalbandyan's ongoing guidance from SEO experts Of course, there are still big questions around measurement, attribution, and content sustainability. AI responses are probabilistic, and what shows up today might not tomorrow. And well, zero-click experiences mean we’ll need to rethink what success looks like beyond just site visits. That said, the direction is clear. As Stefan Maritz 🎯 from CXL put it, we’re entering an era where “being the answer, not just the link in the results,” is the new currency of digital visibility. I’m curious: are you testing AEO strategies? If so, let’s compare notes.

Most brands don’t lose traffic because of bad SEO. They lose it because they’re invisible in AI search. Here’s what I’ve learned helping brands rank in AI-Search GEO Visibility = the new SEO moat. And the most effective way to build it? Structure your funnel content the way LLMs read, rank, and cite it. Let’s break it down: 1. TOFU: Win the Snippet War Old SEO: “Write a blog” New GEO: “Win the answer” Action: Listicles, FAQs, Intro Snippets, Structured Titles Result: You're the voice AI answers with. 2. MOFU: Build Trust Through Comparison People don’t ask ChatGPT “What do you do?” They ask: “Best [product] vs [competitor]?” Action: Versus Pages, Gated Templates, Explainers Result: You show up mid-funnel and win trust before sales even talks. 3. BOFU: Influence the Final Decision AI doesn’t pitch. It summarizes. Action: Demo Pages, Testimonials, Pricing Schemas Result: You become the logical choice—before they hit your site. The Outcome? GEO funnel → Cited in AI → Trusted in Comparisons → Chosen at Decision And the wild part? LLMs don’t invent, they infer. They pick up structured, scannable, trusted content. Not your clever brand copy. Not your glossy homepage. Only what’s easy to extract and cite. If you’re not showing up in AI answers, you're not even in the room. Ready to upgrade your SEO mindset? Source: Semrush https://lnkd.in/eq5zkRJA ♻️ Repost it to share with your network Follow me Madhav Mistry for insights on marketing