Let’s be honest, discovery isn’t what it used to be. People aren’t just googling you, they’re asking ChatGPT, Claude or Gemini which brands to trust. As a CMO or growth leader, you know every marketing move can make or break your pipeline.
But here’s the issue: more and more of that journey happens in AI-driven conversations. Visibility in AI isn’t a nice-to-have anymore, it’s table stakes for modern B2B marketing teams.
Understanding AI Brand Visibility: The Next Frontier
Back when organic SEO turned industries upside down, that was big. Now it’s happening inside the black box of large language models (LLMs). They decide which answers surface, what brands get mentioned and what advice users receive, not a single blue link in sight.
Prospects are skipping traditional searches and asking AI for recommendations. If your brand doesn’t show up, you’re invisible right when decision is happening. AI pulls from countless sources, so your messaging can get squashed, reworded or skipped entirely. LLMs might even pit you against unexpected competitors based on how they parse a user prompt.
The Cost of Ignoring AI Tracking
Without tracking, you miss prompt insights. You lose competitive awareness and can’t spot who AI recommends instead of you. Messaging control slips away when you can’t see how LLMs summarize your value props and you lose sight of early warnings until shifts hit your traffic or market share. Early-adopter teams use AI visibility tools to fine-tune their messaging and leave the rest in the dust.
Why AI Visibility Outpaces Traditional SEO
Classic SEO isn’t dead, but if your strategy stops at Google rankings, you’re ignoring where buyers decide now. LLMs deliver conversational answers, prospects see one or two responses instead of ten links on a search page.
These chat models learn dynamically from new content, sentiment and user prompts. And since there’s no official playbook for ranking in AI, data about your brand’s presence is more critical than ever. Think of it as answer engine optimization (AEO). If you’re not monitoring AI, you can’t influence how people perceive your company and its services.
Introducing Murmur, Your AI Brand Tracker
Murmur steps in as your AI visibility co-pilot. It scores your brand across major LLMs so you can stop guessing and start making data-driven decisions. Set it up in minutes and get insights on everything. It supports branded and unbranded prompts and provides you with a health score and competitive benchmark you can take to your team for action.
CMO AI Brand Tracking Checklist
- See how your brand appears in ChatGPT or Gemini conversations.
- Identify unbranded questions that should put your company front and center.
- Spot new competitors entering your category via AI chat.
- Detect if key product features or differentiators drop out in AI answers.
- Ensure your messaging isn’t lost, misrepresented or diluted in LLM outputs.
Next Steps for Growth Leaders
By tracking your brand in AI response engines, you can understand and defend hard-won brand equity. As chat replaces search, seize category moments when buyers trust AI guidance. Tracking helps spot risks and opportunities before they impact revenue.
Most importantly, you signal to your team and market that you’re leading through change, not just reacting. The name of the game is building influence that mirrors the real customer journey.
See How Your Brand Stacks Up
Hoping your brand lands in the right AI answers isn’t a strategy. Now you can track, measure and actively build visibility where it counts. Give Murmur a try and see your brand the way real buyers and AI see you.