Is your Sitecore content
ready for AI answers?
AI answer engines extract passages, not pages. Score every page against the signals that decide whether AI can cite it.
Only 0 of 12 headings are phrased as questions.
Rewrite key headings as the questions users ask.
No FAQPage JSON-LD and no question-shaped content in the rendered page.
Add a FAQ section with 3–5 questions and pair it with FAQPage JSON-LD.
The page does not publish a dateModified, article:modified_time, or equivalent freshness signal.
Add a machine-readable last-modified date via article:modified_time or JSON-LD dateModified.
Run it on this page
Not a mockup. Not a screenshot. The engine is analyzing the page you are reading right now.
This marketing page scores poorly on answer readiness, and that is the point. It has the same structural problems we help you find on your own pages. If it scored 95, the tool would not be honest.
Search changed. Most content teams didn't.
When someone asks ChatGPT, Perplexity, or Google's AI Overviews about your product, the answer is assembled from a handful of passages pulled from a handful of pages. If your pages aren't structured for extraction, you don't appear.
Content teams today have no way to know which pages are ready and which are invisible. SEO tools measure rankings. This measures something different: whether AI can quote the page.
Two surfaces. One engine.
Analyze a page while you edit it. Review the whole site before you plan the next sprint. Same deterministic model on both.
Feedback while you edit
Runs in the SitecoreAI Page Builder sidebar. Open a page and the panel returns a readiness score, a prioritized list of fixes, evidence from the page, and rewrite suggestions.
- Auto-analyzes when the page changes
- Priority list of top fixes
- Severity filter with counts
- Source tags: standards-based vs heuristic
The whole site at a glance
A site-wide view with every navigation page in a tree and scores populated as pages are analyzed. A priority list ranks the pages that need attention most. Each page opens into a full report.
- Page tree with score dots
- Site average and distribution
- Priority improvements queue
- Batch analysis with progress
Seven weighted categories
Deterministic, not generative. Same page, same score — every finding tagged with the standard or heuristic it came from.
| Category | Weight | What it checks |
|---|---|---|
| Answer Structure | 30 | Heading hierarchy, opening paragraphs, question-style headings, scannable blocks |
| Passage Integrity | 22 | Self-containment, pronoun density, context-dependent references |
| Factual Density | 17 | Numbers with units, dates, comparisons, concrete claims |
| Entity Clarity | 9 | Definitions, title alignment, author signals, metadata hygiene |
| FAQ Readiness | 8 | FAQPage schema, visible Q&A content, schema-to-content consistency |
| Freshness | 8 | dateModified, article:modified_time, ISO 8601 format, staleness threshold |
| Citation Signals | 6 | External source links, named attributions, blockquote cite attributes |
| Total | 100 | Standards-based detection; editorial scoring disclosed in the in-app Help panel. |
Built for teams who need to trust the number
No model produces the score. Auditable and reproducible.
Every finding carries the sample that triggered it.
Plain-language recommendations and rewrites you can copy.
Runs where the marketer works. Same engine everywhere.
Findings tagged with the standard they detect against, or labelled heuristic if they are editorial.
What this is not
Readiness is not the same as ranking. AI citation is not guaranteeable by any tool.
Internal content-readiness indicator. Does not predict or guarantee citation in any AI surface.
Unsaved edits in Page Builder are not reflected until the page is published.
Detectors such as the 12-month staleness threshold and English-only attribution matching are editorial rules, tagged heuristic in the report.
Measures structure and answer-readiness signals only, not factual accuracy.
The scoring engine is deterministic. No LLM is used to produce the score.
The freshness rule compares against the analysis timestamp, so scores can change as content ages.
See how ready your content is
Install from the Sitecore Marketplace and open the panel on any page in Page Builder. The first analysis runs automatically.