You know you need content to improve your AI visibility. But what content? On which topics? In what format? And how do you prioritize when you have limited time and budget?
Most people either guess (writing about whatever feels relevant) or borrow from their SEO keyword list (which targets Google, not LLMs). Neither approach addresses the real question: what content would actually change how AI platforms talk about your brand?
Content gaps you can see, not guess
Mentionable's content opportunities engine works backwards from your tracking data. Instead of starting with keywords and hoping for AI impact, it starts with what LLMs actually do when they answer prompts about your niche.
Every tracking cycle captures the sources that LLMs cite. When Perplexity answers "best invoicing tool for freelancers," it references specific articles, comparison pages, and review sites. When Google AI Mode responds to the same prompt, it pulls from different sources. Mentionable records all of these citations across all 5 LLMs.
Content opportunities emerge from the gaps. When LLMs cite competitor content on topics where your site offers nothing, that's an opportunity. When a topic appears across multiple prompts but your brand is invisible on all of them, that's a high-priority opportunity.
What a content opportunity looks like
Each opportunity in Mentionable comes with a complete brief. This isn't just a keyword suggestion. It's everything you need to create content that addresses a specific AI visibility gap.
Priority score: a number reflecting how impactful this content would be for your visibility, based on prompt frequency, LLM citation patterns, and your current gaps. The score updates automatically after every tracking cycle.
Content outline: suggested sections and structure for the article, based on what LLMs currently cite and recommend for that topic.
FAQ questions: natural language questions that people ask LLMs about this topic. Including these in your content improves the chances of matching future AI queries.
Semantic keywords: related terms and entities to cover for topical authority. LLMs don't count keyword frequency. They assess conceptual coverage. These keywords help you cover the full semantic landscape.
Key entities: brands, tools, and concepts to mention by name. LLMs recognize entities, and covering them signals expertise.
Recommended word count and GEO tips: practical guidance for length and AI-specific optimization.
Priority scoring that updates automatically
One of the biggest problems with content planning tools is stale recommendations. You get a list of ideas, but three weeks later the competitive landscape has shifted.
Mentionable's priority scores recalculate after every tracking cycle. If a competitor publishes a strong article on a topic and starts getting cited, the priority of that opportunity adjusts upward. If you publish content and start appearing on relevant prompts, that opportunity's priority drops because you've addressed the gap.
This means your content roadmap stays current without manual analysis. The highest-priority opportunities are always the ones with the most potential impact right now.
How content opportunities connect to the rest of Mentionable
Content opportunities sit at the intersection of several Mentionable features:
Source tracking provides the citation data that reveals which domains LLMs trust on specific topics.
Competitor tracking shows where competitors appear and you don't, highlighting the gaps that matter most.
Content generation can turn an opportunity directly into a GEO-optimized article through the 8-step pipeline.
Tracking cycles measure the impact after you publish, showing whether your new content starts earning mentions and citations.
This isn't a standalone idea generator. It's a data-driven system that identifies gaps, helps you fill them, and measures whether the gap closed.
Organization and workflow
Mentionable lets you manage opportunities with custom labels and lock status. You can tag opportunities as "priority," "in progress," or "published" to track your content workflow. Locking an opportunity prevents it from being refreshed, which is useful when you're actively working on content for that topic and don't want the brief to change.
You can also refresh individual opportunities manually (rate-limited to once per hour) to get updated briefs based on the latest tracking data.
Who benefits most from content opportunities
Solopreneurs with limited content budgets need to know that every article they create will have maximum impact on their AI visibility. Priority-scored opportunities ensure you're working on the right topics, not just the ones that feel relevant.
Content strategists building editorial calendars can use opportunities as a data-backed roadmap. Instead of brainstorming topics, they have a ranked list of content gaps that directly affect LLM recommendations.
Agencies managing client content can show clients exactly why each piece of content matters, with data connecting the recommendation to the visibility gap it addresses.
Try it yourself
Start your 7-day free trial and see what content LLMs are looking for in your niche. Content opportunities are included in every plan, with automated priority scoring and complete content briefs. No credit card required.
Related articles
- Source & Citation Tracking - the citation data that feeds content opportunities.
- AI Content Generation - turn opportunities into GEO-optimized articles.
- AI Competitor Tracking - understand the competitive gaps behind each opportunity.