A: Amending my answer after clarifying what you were asking:

Great question—yes, that’s exactly what Sage SEO’s AI Suggestions Engine is intended and built to do. One of my complaints with all of the existing "content creation tools" is that they don't actually taken into account real-world data from Google, outside of generic SERP scraping and keyword clustering, etc. If I'm a marketer, I want my content strategy to be informed by live data from my website, as it's the greatest indicator of how Google views my business.

Hence our approach is the following, and designed to improve iteratively to find those "content gain" opportunities:

How we surface “content gain” opportunities right now ---

Live GSC Gap Analysis
• We pull every query your domain already ranks for (positions 1–100).
• The AI looks for keywords with strong impressions + low clicks or “near-page-one” positions—prime targets for new or refreshed content.

Context-Aware Topic Ideas
• The engine matches those keyword gaps with information it gathers from the client’s site.
• You get article suggestions that fill holes in coverage and push you toward higher-value rankings.

Content-Scheduling
• Once you accept a suggestion, Sage drops it into a publishing calendar so the opportunity doesn’t sit in a backlog.

What’s coming next

Auto-Scheduling - We'll automatically fill out your content calendar from suggested article ideas.

Refresh alerts (Roadmapped) —we’ll flag existing pages that have slipped in rankings or traffic so you can update them.

Competitive gap signals (Roadmapped) —AI will compare your content footprint with top competitors to highlight topics you’re missing. The more RAG we incorporate into our approach,