6 Questions to Ask About Your Content for AI Visibility
Getting your brand mentioned in AI-generated answers isn’t a matter of luck. It’s something that can be influenced by well-structured, easy-to-find, specific content about your brand. In this video, Two Octobers Co-CEO Kris Skavish walks through six diagnostic questions marketers can use to evaluate whether their content is positioned to earn AI mentions and citations.
What’s in This Video
Kris covers six practical questions to audit your content for AI visibility — from whether third parties are mentioning your brand, to whether your metadata is doing its job. The recommendations are grounded in current research on how large language models retrieve and prioritize content, and are designed to hold up as the landscape continues to shift.
Key Takeaways
Third-party mentions matter. AI models draw from their entire training base, not just your website. PR, backlinks, a YouTube presence, and up-to-date off-site profiles all contribute to how your brand is represented in AI responses.
Fill content gaps before AI fills them for you. If your website doesn’t answer common questions — pricing, ideal customer fit, what it’s like to work with you — AI will generate an answer anyway, and it may not be accurate or favorable.
Concrete language outperforms aspirational language. Messaging like “we transform cost centers into profit centers” doesn’t help AI understand what you actually do. Pair brand positioning with specific, descriptive language about your products, services, and differentiators.
Pages and even paragraphs should have one clear topic focus. Broad, multi-topic pages are harder for AI to cite precisely. Single-topic pages with specific, self-contained sentences are much easier for AI to extract and attribute correctly.
Format content like answers. Headers phrased as answers, bullet lists, numbered steps, and data tables all make it easier for AI to identify and extract relevant content — and they improve readability for humans too.
Signals of authority build trust with AI and readers. Author bylines, quotes from real people, and references to published research all indicate credibility — signals that AI looks for when deciding what to cite.
Your URLs, page titles, and meta descriptions still matter. When AI tools do live content retrieval, these are the first things evaluated to determine whether your page is worth reading. Accurate, descriptive metadata is worth the time investment.
SEO foundations remain relevant. Crawlable content, hierarchical heading tags, and schema markup help both search engines and AI models understand your pages. And strong search rankings correlate with stronger AI visibility.
The brands that show up in AI answers will be the ones that have invested in specific, well-structured, credible content — which, it turns out, is also just good marketing.