Core Features

Recommendations

The recommendations panel is the heart of every analysis. It translates your scores into specific, ordered actions — telling you exactly what to change, why it matters, and how difficult it is to implement.

Priority levels

Critical

Fundamental issues that significantly block AI engines from extracting or citing your content. Fix these first — they represent the largest score gains. Examples: no answer in the first 200 words, missing H1, page title doesn't match target query.

High

Important improvements with substantial impact. Should be addressed after Critical items in the same sprint. Examples: missing FAQ schema, no author byline, no summary section at top of article.

Medium

Meaningful optimizations that compound over time. Good to include in your next content update. Examples: improve heading hierarchy, add cause-effect language, add comparison table.

Low

Fine-tuning and polish. Implement these when you revisit the page for other reasons. Examples: add figcaption to images, improve CTA copy, minor semantic HTML improvements.

Reading a recommendation

Each recommendation card contains:

Issue title
"No speakable schema detected"
A short description of what's missing or broken.
Dimension badge
AEO Readiness
Which of the 7 dimensions this recommendation affects.
Detail explanation
"Speakable schema tells voice assistants and AI engines..."
2–4 sentences explaining the issue in plain English.
Action
"Add @SpeakableSpecification to your JSON-LD schema with cssSelector pointing to your answer paragraphs."
Specific, implementable instruction.
Effort estimate
Quick win / Medium / Complex
Rough implementation effort. Quick wins typically take under an hour.
Score impact
+8 pts
Estimated score increase from implementing this recommendation alone.

Filtering and sorting

Use the filter controls above the recommendations list to:

  • Filter by priority level (Critical only, High+, etc.)
  • Filter by dimension (e.g., show only E-E-A-T recommendations)
  • Sort by estimated score impact (highest first)
  • Sort by effort (Quick wins first — great for fast improvements)
Quick win strategy
Filter by "Quick win" effort + "High" priority to find improvements that are both impactful and fast to implement. This is the best starting point for most pages.

Implementation workflow

Here's the workflow we recommend:

  1. Run analysis and export the recommendations list as a CSV (use the Export button).
  2. Add recommendations as tasks in your project management tool with the priority and effort fields.
  3. Implement Critical items in your next content update — these are typically simple structural changes.
  4. Schedule High items for your next planned content revision.
  5. After implementation, re-run the analysis to verify your score improved.
  6. Use Projects (Agency plan) to track score history over time.
Note
Recommendations are generated fresh each time you run an analysis. After you fix Critical items and re-run, you'll get a revised list reflecting the current state of the page.