Ranjith J (RJ)’s Post

🚨 Seeing a Spike in Traffic Without Conversions? You might be looking at the new face of web traffic, LLM visits, not bots. Over the past few months, many brands have seen a rise in: 📈 Site visits & engagement signals (scrolls, quick clicks, micro-interactions) ❌ but no matching purchases or high-value actions. The immediate reaction? “It must be bots.” 🤖 Bots vs. 🧠 LLM Traffic — What the Data Says Bots (Automated Traffic) Research shows bots (good + bad) now make up 40–50% of all web traffic. Akamai (2024) reports bots at 42% of total traffic. Imperva (2024) finds 32% of that is malicious automation. “Good bots”,like search crawlers or uptime monitors, are necessary. But advanced bots & headless crawlers often slip past traditional filters. LLMs (Large Language Models) Tools like ChatGPT, Perplexity, and Gemini are the new visitors. They read, compare, and summarize your content, acting on behalf of real consumers. Adobe data (2025) shows a 3,500% rise in AI-driven traffic for retail and 3,200% for travel (July ’24 – May ’25). That means your next customer might not visit your site, their AI assistant might do it for them. 🧩 Why This Matters 1️⃣ SEO is evolving It’s not just about ranking on Google anymore, It’s about appearing in AI-generated answers, summaries, and product recommendations. 2️⃣ Traffic metrics need rethinking LLM activity isn’t fake, it’s a proxy for consumer intent. It reflects real demand, even if the final action happens elsewhere. 3️⃣ Attribution must adapt Traditional funnels miss AI-mediated discovery. The brands that optimize for LLM readability and visibility will lead the next wave of organic growth. 4️⃣ Leadership implications Executives should now ask: “How much of our traffic was AI-mediated, and did our brand win that AI conversation?” ⚙️ Adobe’s Answer: The LLM Optimizer Adobe isn’t just acknowledging the shift, it’s building for it. ➡️ In short: Adobe is helping brands move from search visibility to AI visibility, the next big frontier in digital marketing performance. ✅ Final Takeaways Bots now represent ~50% of global web traffic, but not all are bad. LLM / AI agent traffic = a new, high-intent signal, not noise. Segment smartly, filter bots, not LLM visits. Include LLM sessions in SEO & Marketing dashboards, especially if you’re preparing for the AI-first discovery era. Invest early in frameworks and tools that shape how AI agents see and summarize your brand. 💬 If you’d like to learn how to detect bots, account for LLM sessions, and report them under SEO and marketing attribution, feel free to reach out. If there’s enough interest, I’ll share a detailed “how-to” guide next. 🚀 📚 References 1️⃣ Imperva — Bad Bot Report 2024 2️⃣ Akamai — Bots Compose 42% of Web Traffic (2024) 3️⃣ Adobe — Introducing LLM Optimizer (2024) 4️⃣ MarTech.org — Adobe Launches LLM Optimizer to Improve AI Visibility (2024) 5️⃣ Constellation Research — Adobe Launches GenAI Updates & LLM Optimizer (2024)