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.

boundaryml.com - AEO Audit Report | 57/100

WINTER 2023 boundaryml.com

Moderate AI visibility with 27 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.

Moderate 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%4/10+6.0

FAQ Sections10%0/10+0.0

Original Data10%10/10+10.0

Content Freshness7%4/10+2.8

Direct Answer Paragraphs7%7/10+4.9

Fact & Data Density5%10/10+5.0

Definition Patterns4%7/10+2.8

Query-Answer Alignment8%4/10+3.2

Content Cannibalization5%10/10+5.0

Subtotal71%+39.7

Structure5 criteria

Schema.org JSON-LD15%0/10+0.0

Clean, Crawlable HTML10%7/10+7.0

Semantic HTML55%9/10+4.5

Table & List Extractability7%10/10+7.0

Schema Coverage3%0/10+0.0

Subtotal40%+18.5

Discovery5 criteria

llms.txt10%0/10+0.0

robots.txt for AI5%5/10+2.5

Internal Linking10%5/10+5.0

Sitemap Completeness5%10/10+5.0

RSS/Atom Feed3%0/10+0.0

Subtotal33%+12.5

Trust Signals6 criteria

Entity Authority10%5/10+5.0

Content Licensing4%0/10+0.0

Author & Expert Schema4%2/10+0.8

Canonical URL4%10/10+4.0

Content Velocity3%3/10+0.9

Visible Date Signals4%7/10+2.8

Subtotal29%+13.5

Overall Score100%57/100

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 →

↓2 since v1

Citation Avg

Answer Readiness

~40% weight

8/10

Content Structure

~25% weight

6/10

Trust & Authority

~15% weight

3/10

Technical Foundation

~10% weight

6/10

AI Discovery

~10% weight

5/10

Verdict

Below-average AEO readiness at 57/100 - multiple areas need attention. Key strengths include Original Data & Expert Analysis, Sitemap Completeness, and Table & List Extractability. Priority gaps: llms.txt File, Schema.org Structured Data, and Comprehensive FAQ Section.

Top priorities

llms.txt FileDiscovery+10 pts

Schema.org Structured DataTrust+10 pts

Comprehensive FAQ SectionStructure+10 pts

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Ahead of you

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View improvement plan

How to Improve

Current

57/100

Projected

83/100

36Total Fixes

8Quick Wins

~68hEst. Effort

Quick Wins

Create /llms.txt fileAdd question-based headingsConfigure robots.txt for AI crawlersLink orphan pages into site navigationAdd ai.txt and content licensingImprove query-answer alignmentPackage evidence for AI enginesClarify entity boundaries

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

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

Add internationalization signals

Implement hreflang tags and lang attributes so AI engines serve the correct language version when answering queries.

critical

medium

Add internationalization signals

critical|medium

Unlock Full Improvement Plan

Top Opportunities10

Unlock Opportunities

Fix It With AI39

Unlock AI Fix Prompts

39 copy-paste prompts ready - sign in to access.

Score Breakdown

Criteria

Status

Potential

Score

llms.txt File

critical+10 pts0/10

Schema.org Structured Data

critical+10 pts0/10

Comprehensive FAQ Section

critical+10 pts0/10

RSS/Atom Feed

critical+10 pts0/10

Content Licensing & AI Permissions

critical+10 pts0/10

Schema Coverage & Depth

critical+10 pts0/10

Speakable Schema

critical+10 pts0/10

Owned Data Density

critical+10 pts0/10

Image Context for AI

critical+9 pts1/10

Author & Expert Schema

critical+8 pts2/10

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See all 48 criteria with detailed findings and actionable fix recommendations.

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Site Pages

URLCitationSiteIn-linksCategoryIssuesWords

boundaryml.com/twitter-image

F29

content

7,769

boundaryml.com/twitter-imageF29

boundaryml.com/blogBAML Blog - Insights, Tutorials, and AI Development Updates

F37

blog

2,655

boundaryml.com/blogF37

BAML Blog - Insights, Tutorials, and AI Development Updates

boundaryml.com/learn/everythingBAML

F36

blog

1,420

boundaryml.com/learn/everythingF36

BAML

boundaryml.com/why-the-f-did-we-make-a-languageBAML

D42

content

570

boundaryml.com/why-the-f-did-we-make-a-languageD42

BAML

Changes since v1Last audited 29 days ago

→

-2

View full comparison →

Criterion

Delta

Q&A Content Format

5/10

4/10

-1

Direct Answer Paragraphs

10/10

7/10

-3

Content Publishing Velocity

2/10

3/10

Content Depth

6/10

7/10

First-Hand Experience Signals

2/10

3/10

Citation-Ready Writing Quality

6/10

8/10

Answer-First Placement

8/10

6/10

-2

Evidence Packaging

2/10

4/10

Entity Disambiguation

4/10

2/10

-2

Entity Density

10/10

8/10

-2

Add Entity DisambiguationAdd First-Hand Experience Signals

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 →

Criteria0/10

Schema.org JSON-LD: The Scoreboard AI Actually Reads

Tidio runs 4 JSON-LD schema types. Crisp runs zero. That's not a coincidence -it's the difference between a 63 and a 34. Structured data is the machine-readable layer AI trusts most.

Intermediate·8 min readRead guide →

Criteria0/10

FAQ Sections: 87 Questions Turned Our Score Into 88

Our site runs 87 FAQ items across 9 categories with FAQPage schema on every one. That's not excessive -it's how we hit 88/100. Each Q&A pair is a citation opportunity AI can extract in seconds.

Intermediate·8 min readRead guide →

Criteria0/10

RSS Feed Presence & Quality

Sitemaps tell crawlers what exists. RSS feeds tell them what changed. If you don't have one, your new content waits days -or weeks -to be discovered.

Beginner·3 min readRead guide →