How to choose an AI visibility tool for your brand

Is AI our new search engine? Woah. For years, we’ve optimized for search engines, keywords, and algorithms. But now, AI is surfacing voices, ideas, and expertise in ways that feel more human and contextual and accessible for overwhelmed folks who don't have time to shift through data. It made me ask: Is AI the new search engine? If you want to make sure your work shows up when AI is pulling answers, here are 3 clear ways to start: 👉 Narrow your expertise: Write a one‑sentence “positioning statement” (e.g., I help introverts build personal brands through storytelling). Use this exact phrasing consistently across your LinkedIn headline, About section, website bio, and social posts so AI can connect you to that topic. 👉 Share content in multiple formats & places! Don’t rely on one channel. Post short LinkedIn articles, share video clips, and repurpose them into newsletters or blogs. The more consistent "evidence" AI tools find across platforms, the more likely they are to surface you as an authority. 👉 Show depth, not just keywords. Instead of dropping buzzwords, explain them. For example, if you talk about “personal branding,” share a 3‑step framework or a case study. AI favors content that demonstrates expertise and context, not just mentions a term. It's WILD to me that more and more potential clients and contacts are finding me through AI searches. What do you think: Is AI the new search engine or the next layer on top of it? 📸 : courtesy of Google Gemini

Ever ask your favourite AI tool a big strategic question and get a disappointingly generic answer back? If you're finding that your AI assistant sounds more like a Wikipedia article than a trusted advisor, you're not alone. But the problem often isn't the AI — it's the question! Here are four simple but powerful prompting frameworks every leader should master: 1. The "Virtual Expert" Persona (Role-Playing) This technique turns a generalist AI into a specialist advisor. By assigning a role, you unlock deeper, more relevant insights. Instead of asking: "What's a good marketing plan for our new product?" Try this: "Act as a world-class brand strategist who has launched multiple successful consumer products. Our new product is a premium, eco-friendly coffee blend. Outline a go-to-market strategy, including key messaging, ideal launch partners, and a 90-day campaign timeline." 2. The "Show Your Work" Method (Chain-of-Thought) For complex decisions, you need to see the logic. This technique forces the AI to break down its reasoning step-by-step, making its conclusions transparent and auditable. Instead of asking: "Is entering the Southeast Asian market a good idea?" Try this: "Analyze our potential entry into the Southeast Asian market. Let's think step-by-step: First, identify the top 3 markets based on consumer spending power. Second, analyze the key local competitors in each. Finally, recommend a priority market and justify your choice." 3. The "Ground in Reality" Approach (Contextual Priming) An AI's advice is only as good as the information it has. This technique involves providing your own data to get tailored, not generic, analysis. Instead of asking: "What are some good marketing strategies?" Try this: "Based on our attached Q3 sales report and customer feedback summary, what are the top three marketing strategies we should prioritize for Q4 to address our key challenges?" 4. The "Second Opinion" Stress Test (Self-Consistency) For high-stakes decisions, you can't rely on a single line of reasoning. This technique asks the AI to generate multiple, diverse answers to the same question and then identify the most consistent result, effectively creating an AI consensus. Instead of asking: "What is our projected Q4 revenue?" Try this: "Generate three distinct, step-by-step forecasts for our Q4 revenue based on the attached sales data. Each forecast should use a slightly different weighting of historical seasonality vs. recent growth trends. Conclude by identifying the most consistent and probable revenue outcome." A quick note: These examples are frameworks to illustrate the techniques. In practice, the best prompts are enriched with deep context to transform the AI into a true extension of your thinking. Mastering these frameworks moves you from simply using AI to strategically leveraging it for better, faster and more defensible decisions. #GenAI #AIStrategy #Leadership #PromptEngineering #DigitalTransformation #DecisionMaking

Most marketers use AI like it's Google. That's why they're missing 90% of its power. I've deployed AI systems worth millions. The breakthrough came when I stopped treating AI as a search engine and started treating it as a sparring partner. 𝗧𝗵𝗲 𝗳𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹 𝘀𝗵𝗶𝗳𝘁: AI isn't a database you query. It's a context processor you build with. Think of it like boxing. You don't just throw punches. You create openings, control space, set up combinations. Same with AI. 𝗠𝘆 𝗖𝗼𝗴𝗻𝗶𝘁𝗶𝘃𝗲 𝗧𝗿𝗶𝗮𝗻𝗴𝘂𝗹𝗮𝘁𝗶𝗼𝗻 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸: 𝟭. 𝗟𝗼𝗮𝗱 𝘁𝗵𝗲 𝗸𝗻𝗼𝘄𝗻 → Build Its Mental Map: Feed it your past strategies, campaign breakdowns, decision trees, frameworks, & post-mortems. → Give it why something worked or failed & not just what happened. → This becomes its muscle memory. → Industry best practices → Established frameworks 𝟮. 𝗔𝗱𝗱 𝘆𝗼𝘂𝗿 𝗲𝗱𝗴𝗲 → Layer Context, Don’t Replace It → Each new prompt isn’t a reset, it’s a new round in the match. → Reference earlier sessions. Reinforce your philosophies, heuristics, & desired outcomes. → You’re shaping intuition through repetition. → Your proprietary insights → Pattern recognition from experience → The secrets competitors don't know 𝟯. 𝗘𝘅𝗽𝗼𝘀𝗲 𝘁𝗵𝗲 𝗯𝗹𝗶𝗻𝗱 𝘀𝗽𝗼𝘁𝘀 Ask: → “Compare this situation to similar cases we’ve discussed.” → “What would my usual bias be here?” → “What’s the unconventional move?” → "What am I missing?" → "What assumptions am I making?" → "Where's my thinking limited?" 𝟰. 𝗙𝗼𝗿𝗰𝗲 𝘁𝗵𝗲 𝗰𝗼𝗹𝗹𝗶𝘀𝗶𝗼𝗻 → Create Feedback Loops → When it outputs something off, don’t correct it—context it. → Explain why it’s misaligned and how your reasoning differs. → That’s how your cognitive fingerprints embed into its logic chain. → Ask for novel applications → Push for non-obvious connections Eventually, your AI agent will run the triangulation itself: ⨭ Pulling best practices from domain data ⨭ Merging them with your own corpus ⨭ Stress-testing against fresh perspectives That’s when it starts thinking with you, not for you. 𝗪𝗵𝗮𝘁 𝗵𝗮𝗽𝗽𝗲𝗻𝘀 𝗻𝗲𝘅𝘁: The AI doesn't just answer. It reveals patterns you couldn't see alone. It connects dots across domains. It surfaces the "unknown unknowns." 👉 This is HOW YOU CAN build marketing systems nobody else is building. Use AI as a thinking partner, not a search bar. 𝗧𝗵𝗲 𝘂𝗻𝗰𝗼𝗺𝗳𝗼𝗿𝘁𝗮𝗯𝗹𝗲 𝘁𝗿𝘂𝘁𝗵: ⨭ AI doesn’t learn from instructions. ⨭ It learns from immersion. ⨭ Every interaction is a rep. Every correction is calibration. When done right, your AI starts to mirror your thought architecture ... your decision trees, your filters, your mental models. ⨭ That’s not automation. ⨭ That’s amplification. 𝗠𝘆 𝗽𝗵𝗶𝗹𝗼𝘀𝗼𝗽𝗵𝘆: Stop asking AI what to think. Start building knowledge spaces for AI to explore. The competitive advantage isn't in the questions you ask. It's in the contexts you create. 🥊 Currently building AI marketing systems that think around corners.

There are many AI tools available to your business right now, but that doesn’t mean that you have to try and implement every one of them. To make the most of AI and to make it work best for your business, simple is better. Focus on these three tools:

"LLMs were training on our data while recommending others." That's the reality for so many brands right now. You're creating content, but AI tools are recommending your competitors when buyers ask questions in your category. The good news? It's fixable. Our team moved from 13% to 32% share of voice in AI answers in just two months by treating it like an operating problem and building a framework to optimize for LLM visibility. If you're a Director of Marketing, SEO, or Digital and want to audit how your brand shows up in AI search, worth checking out: https://lnkd.in/eGEW4sQY

The Brutal Truth About Why Your Brand Is Invisible in AI Search Here's something that's going to upset a lot of marketers... Traditional SEO is completely useless for AI search visibility. I know this sounds crazy, but hear me out. Last month, I analyzed 100 brands across ChatGPT, Perplexity, and Claude. The results were shocking. Companies spending millions on SEO had zero presence in AI answers. Meanwhile, smaller brands with basic websites were dominating AI recommendations. Why? Because AI engines don't care about your keyword rankings or backlink profiles. They care about three things: clear facts, proper citations, and structured data that machines can actually understand. Your SEO dashboard shows you're ranking #1 for important terms. But when someone asks ChatGPT for recommendations in your space, you don't even exist. It's like measuring TV viewership while everyone moved to streaming. The scariest part? Your competitors are figuring this out while you're still optimizing for Google algorithms from 2019. If you're a growth analyst who needs reliable data on your brand's AI visibility, I've created a proven testing system that measures your answer share across all major AI engines. It uses a standardized 50-query framework with confidence intervals - the same methods Stanford uses for AI research. Comment "VISIBLE" below and I'll send you the complete methodology that shows exactly where your brand stands in AI search results.

New research is redefining how we think about AI in marketing and it’s time we pay attention! According to HubSpot’s latest “State of AI in 2025” report, 66% of marketers globally are now using AI in their work - not as an experiment, but as a baseline tool. Meanwhile, a Harvard Business Review article argues that generative AI could revolutionize market research, not just content or automation - it can help generate synthetic data, fill gaps in insights, and push decision-making deeper into organizations. Some leading trends to watch (and maybe act on): - Synthetic personas & data: Within a few years, more than half of market research may come from AI-generated responses instead of only human participants. - Generative Engine Optimization (GEO): As AI becomes a front door to queries (via ChatGPT, Gemini, etc.), brands are optimizing not just for SEO but for being cited or surfaced within AI-generated answers. - Equity & bias in AI output: New studies show that large language models (LLMs) tend to embed demographic biases in marketing slogans or messaging, which means we must actively audit and mitigate bias. - Multi-agent AI systems for marketing: Cutting-edge research is experimenting with “agentic” frameworks. These are the AI systems that plan, use memory, verify outputs, and refine decisions to improve targeting and messaging. In one study, such systems improved audience curation accuracy by +28%. So what does this mean for marketers who want to stay relevant? Don’t just use AI. Steer it. Be intentional about what roles AI plays in your strategy. Audit AI outputs through human lenses - check for bias, tone, nuance. Consider visibility in AI systems (GEO) as part of your content strategy, not just SEO. Track ROI not just in clicks or output volume, but in insight quality, speed, and adaptability. Let’s not let AI be a buzzword. Let it be a tool we master with purpose. #Digitalmarketer

Can showing up on high-traffic websites help your brand get mentioned more in AI tools like ChatGPT and Google AI Overviews? Our latest article explores how web visibility translates into AI visibility - and what brands can do to boost their presence across platforms that matter. 👉 Read more here: https://bit.ly/3IJGyqO #AIVisibility #SearchMarketing #ContentStrategy #AISEO #TheiaMedia #DigitalGrowth

Can showing up on high-traffic websites help your brand get mentioned more in AI tools like ChatGPT and Google AI Overviews? Our latest article explores how web visibility translates into AI visibility - and what brands can do to boost their presence across platforms that matter. 👉 Read more here: https://bit.ly/3IJGyqO #AIVisibility #SearchMarketing #ContentStrategy #AISEO #TheiaMedia #DigitalGrowth

Can showing up on high-traffic websites help your brand get mentioned more in AI tools like ChatGPT and Google AI Overviews? Our latest article explores how web visibility translates into AI visibility - and what brands can do to boost their presence across platforms that matter. 👉 Read more here: https://bit.ly/3IJGyqO #AIVisibility #SearchMarketing #ContentStrategy #AISEO #TheiaMedia #DigitalGrowth