AEO
Answer Engine Readiness Scorecard
AI-driven search doesn't reward design — it rewards structure. Score your site against the Answer Engine Readiness Scorecard and find out exactly where you stand.
dimensions
framework
criteria
The rules of search visibility just changed
Answer engines don't surface your best-looking page. They surface your most machine-readable one. For enterprise teams, that gap creates real business risk.
Sections get extracted out of context
AI search doesn't always use a full page as written. It may pull 
a single section or short passage — and vague structure gets misread or misattributed.
Structural drift spreads across thousands of pages
As teams update templates and publish new content, heading levels get skipped, landmarks disappear, and consistency breaks down silently at scale.
One-off copy rewrites don't fix the real problem
Answer engine readiness is a template and governance issue 
— not a content issue. The fix has 
to happen at the structural 
level to stick.
Your totals
Score each criterion 0–2 · 0 = missing/broken · 1 = present but inconsistent · 2 = strong and consistent
Multiply score by the Weight · Total ÷ 2 = Score out of 100
Machine-Readable Structure
| Criterion | What good looks like | Wt | Score |
|---|---|---|---|
| Single, descriptive H1 | One clear H1 that matches page intent; no duplicates | 4 | |
| Logical heading hierarchy | H2/H3 used in order; no skipping levels; headings summarize sections | 6 | |
| Semantic landmarks | Proper use of header/nav/main/aside/footer or ARIA landmarks | 5 | |
| Structured lists and steps | Procedures are real <ol>/<ul> (not styled paragraphs) | 5 | |
| Real tables | Data uses <table> and headers (<th>) where appropriate | 4 | |
| Definition block pattern | A short definition/answer near top, marked by a heading and paragraph/list | 6 |
Why it matters: Answer engines often extract content in sections rather than as whole pages. A clear hierarchy makes it easier to interpret section boundaries — weak structure increases the risk of misreading or misattribution.
| Section total | Total section score based on the above criteria | Section score |
Extractability and Page Anatomy
| Criterion | What good looks like | Wt | Score |
|---|---|---|---|
| Answer-first summary | 40–80 word direct answer (TL;DR) appears at the top | 6 | |
| Clear section intent | Each section answers a sub-question (FAQ-like, but not junk) | 4 | |
| Scannable formatting | Short paragraphs; meaningful subheads; bullets for attributes/benefits | 4 | |
| Stable content zone | Main content isn't buried under carousels/accordions; minimal layout noise | 3 | |
| Consistent template anatomy | Same page type (product, policy, help) uses same structure sitewide | 3 |
Why it matters: Answer engines work better with pages that surface key information early and present it in clean, predictable content regions. Noisy or inconsistent layouts make reliable parsing harder at scale.
| Section total | Total section score based on the above criteria | Section score |
Entity and Relationship Clarity
| Criterion | What good looks like | Wt | Score |
|---|---|---|---|
| Entity-first naming | People/organization/product names are explicit (not we/it/this) | 5 | |
| Disambiguation | Acronyms expanded; regions/versions specified (e.g., WCAG 2.2, EU, 2026) | 4 | |
| Relationship signaling | Use X vs. Y, requirements, steps, components, and limits explicitly | 3 | |
| Unique page focus | Page has one primary job, not a wide variety of loosely related topics | 3 |
Why it matters: Answer engines are more likely to select and summarize content accurately when the main entities, terms, and relationships are explicit. Ambiguity around names, versions, or scope increases the chance of weak or incorrect retrieval.
| Section total | Total section score based on the above criteria | Section score |
Structured Data and Supported Markup
| Criterion | What good looks like | Wt | Score |
|---|---|---|---|
| Relevant schema present | Appropriate schema for page type: Organization, Article, FAQPage (when valid), Product, HowTo, etc. | 6 | |
| Schema validity | Valid JSON-LD; matches visible content; no spam markup | 4 | |
| Authorship and dates | Clear datePublished, dateModified, and author where appropriate | 3 | |
| Canonical entity pages | Strong about pages for brand/products to anchor entity understanding | 2 |
Why it matters: Structured data can help clarify page type and key attributes in a machine-readable format — treat it as supporting markup, not a primary lever. Use valid, relevant schema that aligns with visible content.
| Section total | Total section score based on the above criteria | Section score |
Trust, Citability, and Governance
| Criterion | What good looks like | Wt | Score |
|---|---|---|---|
| Claim support | Statistics/claims have a nearby source link or reference | 5 | |
| Freshness signals | Last updated reflects real maintenance; outdated content is reduced/redirected | 4 | |
| Author/reviewer clarity | Named owner; credentials where relevant (regulated industries especially) | 4 | |
| Internal citation hygiene | Key pages link to the definitive source page (no orphan near-duplicates) | 4 | |
| Indexability basics | Not blocked by robots/noindex; correct canonicals; clean URL | 3 |
Why it matters: Content is more usable as an answer source when claims are supported, ownership is clear, and maintenance signals are trustworthy. These cues don’t guarantee visibility. But they do make content easier to verify, attribute, and align with current information.
| Section total | Total section score based on the above criteria | Section score |
Overall score
| Final score | Total score across all sections | Overall score |
What your score means
85-100
Answer-Engine Ready
Strong structural clarity and low ambiguity. Focus on maintaining consistency across templates.
70-84
Competitive but Inconsistent
Generally usable, but structural gaps increase the risk of weak or inconsistent retrieval.
50-69
Discoverable but Not Reliable
May be crawlable, but weaknesses in structure and governance make it a poor answer source.
< 50
High Readiness Risk
The page may still rank, but it won't be interpreted or reused reliably in AI-driven search.
5 Fast Wins to Improve Readiness Today
- 1 Enforce one H1 and clean H2/H3 on templates — the single highest structural ROI change you can make.
- 2 Add a 40–80 word definition/answer block at the top of every high-intent page.
-
3
Convert faux formatting into real semantics: proper
<ol>,<ul>, and<table>elements. -
4
Make sure
dateModifiedreflects actual content edits — not superficial page touches. - 5 Validate schema markup matches visible content and remove any junk FAQ markup.