What is AEO (AI Engine Optimization)?

AEO is the practice of structuring your website so AI answer engines - ChatGPT, Perplexity, Google AI Overviews, Claude - can find, understand, and cite it. SEO gets you ranked in search results. AEO gets you into AI-generated answers. Different game, different rules.

What does the free AEO audit include?

The free audit analyzes your website across 48 criteria that determine AI visibility, including llms.txt, Schema.org structured data, Q&A content format, clean crawlable HTML, entity authority, robots.txt AI policy, FAQ sections, original data, content freshness, fact density, canonical URLs, and more. You get a score out of 100 with specific findings and actionable recommendations.

What are the 48 AEO criteria?

The 48 criteria are organized into 5 pillars with fixed target shares: Answer Readiness 40%, Content Structure 25%, Trust & Authority 15%, Technical Foundation 10%, and AI Discovery 10%. Inside those pillars, criteria cover topic coherence, original data, depth, fact density, direct answers, Q&A structure, entity authority, freshness, visible dates, schema, semantic HTML, extraction friction, llms.txt, robots.txt, licensing, canonicals, sitemap coverage, and RSS. Each criterion is scored 0–10, converted into an effective weight after confidence and overlap controls, then rolled into the final score.

What happens if my site scores below 20?

A score below 20 means most fundamental AEO infrastructure is missing - no llms.txt, no relevant schema, likely blocking AI crawlers, no FAQ content. The good news is the fastest gains come from this starting point. Adding llms.txt, basic Organization schema, and unblocking AI crawlers in robots.txt can double your score in a single day.

What is llms.txt and do I need one?

llms.txt is a plain-text file at your domain root — like robots.txt — that gives AI assistants a structured summary of your website. What your business does, key content areas, how to navigate your site. It helps AI systems understand your business without crawling every page. If you want AI visibility, you need one.

prodigy.org.za - AEO Audit Report | 47/100

prodigy.org.za

Weak AI visibility with 24 of 48 criteria passing. Biggest gap: llms.txt file.

Developer Tools & Infrastructure Developer Platforms

Scoring Methodology

How Your AEO Site Rank Is Calculated

A weighted average of 48 deterministic criteria. Each scored 0-10, each with a specific weight. No AI judgment calls - every point is traceable.

Weak visibilityOut of 100 possible points

The Formula

Score = sum(criterion_score / 10 * weight * 100) / sum(weights)

Each criterion is scored 0-10 by deterministic checks, multiplied by its weight, and summed to produce a 0-100 overall score.

Your Score Breakdown

Content9 criteria

Q&A Content Format15%2/10+3.0

FAQ Sections10%2/10+2.0

Original Data10%8/10+8.0

Content Freshness7%2/10+1.4

Direct Answer Paragraphs7%3/10+2.1

Fact & Data Density5%7/10+3.5

Definition Patterns4%5/10+2.0

Query-Answer Alignment8%0/10+0.0

Content Cannibalization5%5/10+2.5

Subtotal71%+24.5

Structure5 criteria

Schema.org JSON-LD15%10/10+15.0

Clean, Crawlable HTML10%7/10+7.0

Semantic HTML55%5/10+2.5

Table & List Extractability7%5/10+3.5

Schema Coverage3%9/10+2.7

Subtotal40%+30.7

Discovery5 criteria

llms.txt10%0/10+0.0

robots.txt for AI5%5/10+2.5

Internal Linking10%7/10+7.0

Sitemap Completeness5%9/10+4.5

RSS/Atom Feed3%8/10+2.4

Subtotal33%+16.4

Trust Signals6 criteria

Entity Authority10%8/10+8.0

Content Licensing4%2/10+0.8

Author & Expert Schema4%5/10+2.0

Canonical URL4%10/10+4.0

Content Velocity3%3/10+0.9

Visible Date Signals4%3/10+1.2

Subtotal29%+16.9

Overall Score100%47/100

Score Ranges

86-100AI-first content architecture

71-85Strong AI visibility

56-70Moderate visibility

41-55Weak visibility

26-40Minimal visibility

0-25Not on the radar

Key Points

Topic Coherence carries the highest weight at 14%, followed by Original Data at 10%, across 48 total criteria.

No HTTPS means Clean HTML is capped at 3/10, costing approximately 3-4 overall points.

Every criterion uses deterministic checks. Same site, same audit, same score - every time.

Read full scoring methodology →

↓6 since v6

Citation Avg

Answer Readiness

~40% weight

6/10

Content Structure

~25% weight

4/10

Trust & Authority

~15% weight

5/10

Technical Foundation

~10% weight

4/10

AI Discovery

~10% weight

5/10

Verdict

Below-average AEO readiness at 47/100 - multiple areas need attention. Key strengths include Schema.org Structured Data, Canonical URL Strategy, and Topic Coherence. Priority gaps: llms.txt File, Speakable Schema, and Query-Answer Alignment.

Top priorities

llms.txt FileDiscovery+10 pts

Speakable SchemaTechnical+10 pts

Query-Answer AlignmentStructure+10 pts

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How to Improve

Current

47/100

Projected

79/100

41Total Fixes

14Quick Wins

~96hEst. Effort

Quick Wins

Create /llms.txt fileConfigure robots.txt for AI crawlersLink orphan pages into site navigationImplement semantic HTML5 elementsAdd structured tables and listsAdd definition-style contentAdd ai.txt and content licensingEnhance author and expert schemaAdd visible date signalsMake pages solve the user task fasterMake content creators clearly visibleImprove server response efficiencyReduce render-blocking resourcesReduce document weight

Fix

Impact

Effort

Create /llms.txt file

Add a machine-readable llms.txt file at your domain root that describes your site, services, and key pages for AI engines.

critical

low

Create /llms.txt file

critical|low

Add llms-full.txt with extended content

Create a comprehensive llms-full.txt with detailed page descriptions, content summaries, and topic taxonomy.

medium

low

Add llms-full.txt with extended content

medium|low

Fix HTML structure and meta tags

Ensure clean, well-structured HTML with proper meta tags, HTTPS, and parseable content for AI crawlers.

medium

low

Fix HTML structure and meta tags

medium|low

Reduce render-blocking resources

Minimize blocking scripts and stylesheets in <head> to improve content availability for AI crawlers.

high

low

Reduce render-blocking resources

high|low

Configure robots.txt for AI crawlers

Update robots.txt to explicitly allow AI crawlers and include sitemap directive.

high

trivial

Configure robots.txt for AI crawlers

high|trivial

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Top Opportunities10

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Score Breakdown

Criteria

Status

Potential

Score

llms.txt File

critical+10 pts0/10

Speakable Schema

critical+10 pts0/10

Query-Answer Alignment

critical+10 pts0/10

Evidence Packaging

critical+10 pts0/10

Entity Disambiguation

critical+10 pts0/10

Owned Data Density

critical+10 pts0/10

Image Context for AI

critical+9 pts1/10

Q&A Content Format

critical+8 pts2/10

Comprehensive FAQ Section

critical+8 pts2/10

Content Freshness Signals

critical+8 pts2/10

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Site Pages

URLCitationSiteIn-linksCategoryIssuesWords

www.prodigy.org.za/2025/10/06/unlocking-student-success-t...Unlocking Student Success: The Power of Personalized Tutoring at Prodigy Education - Prodigy Education

F34

blog

764

www.prodigy.org.za/2025/10/06/unlocking-student-success-t...F34

Unlocking Student Success: The Power of Personalized Tutoring at Prodigy Education - Prodigy Education

Changes since v6Last audited 9 days ago

→

-6

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Improve Your Score

Guides for the criteria with the most room for improvement

Criteria0/10

llms.txt -The File That Separates 63 from 34

Tidio has a 251-line llms.txt. Crisp has zero. The score gap: +29 points. This single file tells AI assistants exactly what your site does -and without it, they're guessing.

Beginner·8 min readRead guide →

supplementary0/10

Speakable Schema Markup

Voice assistants need to pick which paragraph to read aloud from your page. Without Speakable markup, they guess -and they frequently guess wrong, reading your cookie notice.

Beginner·3 min readRead guide →

Criteria0/10

Query-Answer Alignment: Does Your Content Match What People Actually Ask?

You wrote a 3,000-word guide on "customer support automation." But people ask AI "how do I reduce support ticket volume?" If your content doesn't match the actual queries, AI can't connect the dots.

Beginner·8 min readRead guide →

Criteria0/10

Evidence Packaging: Why AI Trusts Some Claims and Ignores Others

A statistic without a source is a liability. A claim without attribution is invisible. We track evidence packaging across every audit and the pattern is clear - sites that cite their sources get cited by AI. Sites that state facts without attribution get skipped.

Intermediate·5 min readRead guide →

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Verdict

How to Improve

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Top Opportunities10

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Fix It With AI42

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Score Breakdown

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