Core Features

Analysis Walkthrough

This guide explains every section of an AEO analysis report — what each component means, how to read the data, and how to act on it effectively.

1. The Score Header

At the top of every analysis report you'll see the overall AEO score — a number from 0 to 100 displayed in a large ring. This is the weighted average across all 7 dimensions. The color changes based on tier:

80+
Green — Well optimized
50–79
Amber — Needs attention
0–49
Red — Major gaps

Alongside the score you'll see the URL or keyword analysed, the detected industry, and the date/time the analysis ran. If you've re-analysed the same URL previously, a score trend indicator shows whether you've improved, declined, or stayed flat since last time.

2. Score Breakdown Grid

Below the header, a grid shows individual scores for all 7 dimensions. Each card displays:

  • Dimension name and score (0–100)
  • A mini progress bar showing relative performance
  • A one-line status: what's working vs. what needs attention

Clicking a dimension card scrolls you directly to the detailed recommendations for that dimension. This is useful when you want to focus on one area at a time.

Where to start
Sort recommendations by "Impact" and fix the lowest-scoring dimension first — that's where you'll get the biggest score lift per unit of work.

3. Recommendations Panel

The recommendations panel is the most actionable part of the report. Each recommendation includes:

Priority
Critical / High / Medium / Low — based on estimated score impact and implementation effort
Dimension
Which of the 7 scoring areas this recommendation affects
Issue
A plain-English description of what the problem is
Recommendation
Specific, actionable instructions for how to fix it
Why it matters
The reasoning behind the recommendation — how it affects AI citation probability
Implementation effort
Estimate of how complex the fix is: Quick win / Medium / Complex

4. Missing Elements Audit

This section runs a checklist of the most common AEO requirements and flags which are missing from your page. Items are grouped by category (Schema, Semantics, Content, Technical) and each shows a pass/fail status with a brief explanation of what to add. Think of it as a quick-scan checklist you can work through systematically.

5. Page Architecture Map

The architecture map visualises your page's heading structure and content flow — the same view an AI parser gets when it reads your page. It shows:

  • H1–H6 heading hierarchy and how content nests under each
  • Sections that contain direct answers vs. supporting detail vs. navigation noise
  • Word count and density per section
  • Color-coded scoring: green sections score well, red sections need work

6. Fanout Query Map

AI answer engines don't just answer the exact query — they fanout to related questions and sub-questions. This section shows which related queries your page already addresses (green) and which it misses (amber/red). Adding coverage for missed fanout queries can significantly expand your AI visibility. See Fanout Queries for full details.

7. Competitor Gap Analysis

If you provided competitor URLs (or accepted the auto-detected ones), this section shows a side-by-side score comparison. It highlights dimensions where competitors outperform your page and where you have an advantage. The gap is expressed as a score differential — e.g., "Competitor A scores +18 on AEO Readiness compared to your page." See Competitor Analysis for the full guide.

Re-running analyses
Analysis results reflect the page as it was at analysis time. After making changes, re-run the analysis to get an updated score. Analyses are saved to your dashboard and score history is tracked in Projects (Agency/Enterprise plans).