Transcript: Why target problem-spaces, not keywords, now?
You should target problem-spaces, not keywords, because ChatGPT and Perplexity respond to buyer context and intent, not isolated search terms. In answer engine advertising, winning visibility means earning citation by clearly solving the underlying problem behind a question. The Starr Conspiracy helps B2B teams map buyer questions into problem-space territories, then build content and creative that answer them well enough to be selected.
This is the full transcript of the video:
Watch: Why target problem-spaces, not keywords, now? →Full Transcript
If your paid media strategy still starts with keywords, you're already behind. For 20 years, the playbook was simple. Find keywords. Bid on them. Win clicks. But in chat GPT and perplexity, buyers don't think in keywords. They describe a situation. They compare options. They ask for advice. So that query, best CRM for mid-market B2B with complex sales cycles, isn't a keyword. It's a problem space. A problem space is a cluster of buyer questions. Same underlying pain. Same decision context. Similar evaluation criteria. Here's the shift. Keywords capture explicit intent. Problem spaces capture the context around intent. And context is what answer engines use to choose sources to cite. So what do you do? Start with questions, not keywords. Ask chat GPT what buyers ask. Mind sales calls. Check people also ask. Watch communities. Then cluster those questions into 30 to 40 territories you can own. Finally, measure citation share by problem space, not rankings. If you want help mapping yours, talk to the Star Conspiracy.