How to Improve Your AEO Score: A Step-by-Step Guide
Your AEO score tells you one thing: how ready is your website for AI-powered search? A low score means ChatGPT, Perplexity, Claude, and Google AI Overviews are either unable to read your content or choosing not to cite it. A high score means you are positioned to be the answer — not just a result.
This guide walks you through a complete audit-and-fix cycle. We will cover each of the 9 AEO categories, show you the most common failures, and give you specific instructions to fix them. By the end, you will have a clear path from whatever grade you have now to an A or A+.
Step 1: Run Your Baseline Audit
Before you fix anything, you need to know where you stand. Go to AEOprobe's free audit and enter your URL. The audit takes about 60 seconds and checks your site across all 9 categories against 14 major AI and search crawlers.
When the results come back, you will see:
- An overall letter grade (A+ through F) — this is your composite AEO score
- Individual category scores for each of the 9 audit areas
- Specific findings — exactly what passed, what failed, and what needs attention
Write down your starting grade. You are going to compare this against your score after making the fixes below.
Step 2: Fix AI Bot Access (Robots.txt)
This is the single highest-impact fix for most websites. Our data shows that 73% of sites block at least one major AI crawler in their robots.txt — and many block all of them without realizing it.
What to check
Open your robots.txt file (usually at yourdomain.com/robots.txt) and look for rules that mention AI crawlers. The 14 crawlers AEOprobe checks include:
| Bot | Operator | Recommended |
|---|---|---|
| GPTBot | OpenAI | Allow |
| ChatGPT-User | OpenAI | Allow |
| ClaudeBot | Anthropic | Allow |
| PerplexityBot | Perplexity AI | Allow |
| Google-Extended | Allow | |
| Googlebot | Allow | |
| Bingbot | Microsoft | Allow |
| Bytespider | ByteDance | Allow |
| Amazonbot | Amazon | Allow |
| YouBot | You.com | Allow |
| AppleBot | Apple | Allow |
| Meta-ExternalAgent | Meta | Allow |
| Cohere-ai | Cohere | Allow |
| anthropic-ai | Anthropic | Allow |
How to fix it
If your robots.txt has a blanket Disallow: / for any of these bots, remove those rules. The minimum viable robots.txt for AEO readiness looks like this:
User-agent: *
Allow: /
Sitemap: https://yourdomain.com/sitemap.xmlIf you want to selectively block training-only crawlers while allowing search crawlers, specify each bot individually rather than using a wildcard block.
Expected impact: Fixing robots.txt alone can move a site from F to C or even B, because it unlocks every other category for AI crawlers.
Step 3: Add and Fix Structured Data
Structured data is how you give AI engines machine-readable context about your content. Without it, AI crawlers can read your text but struggle to understand what type of content it is, who wrote it, and how to cite it.
What to check
AEOprobe evaluates your JSON-LD markup for completeness and correctness. Common failures include:
- No structured data at all — the page has zero JSON-LD blocks
- Missing Article or WebPage schema — the most basic schema type for content pages
- No Organization schema — AI engines cannot identify your brand
- Incomplete FAQ schema — questions exist in the content but are not marked up
- Invalid schema — JSON-LD syntax errors or missing required properties
How to fix it
Add a JSON-LD block to your page's <head>. Here is a minimal Article schema:
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Article",
"headline": "Your Page Title",
"description": "Your meta description",
"datePublished": "2026-03-24",
"author": {
"@type": "Person",
"name": "Your Name"
},
"publisher": {
"@type": "Organization",
"name": "Your Company"
}
}
</script>For pages with FAQ content, add an FAQPage schema. For product pages, add Product schema. The more specific your markup, the more context AI engines have when deciding whether to cite your content.
Expected impact: Adding complete structured data typically improves the Structured Data category from F to A and lifts the overall score by 10-15 points.
Step 4: Fix Meta Tags and Open Graph
Meta tags provide AI systems with concise, authoritative signals about your content. Missing or incomplete tags reduce your content's trustworthiness in AI retrieval pipelines.
What to check
- Title tag — present, under 60 characters, includes primary keyword
- Meta description — present, under 155 characters, compelling and accurate
- Canonical URL — present and pointing to the correct page
- Open Graph tags — og:title, og:description, og:type, og:url, og:image all present
- Twitter Card tags — twitter:card, twitter:title, twitter:description present
- Robots meta — no accidental
noindexornofollowdirectives
How to fix it
Most frameworks (Next.js, WordPress, Astro) have built-in support for setting these tags. Ensure every page has a unique title, description, and canonical URL. Add Open Graph tags so AI systems that fetch preview data can properly identify your content.
The most common mistakes we see:
- Duplicate titles across multiple pages
- Missing canonical URLs, which cause AI engines to split attribution
- Generic descriptions like "Welcome to our website" that give AI systems no useful context
Expected impact: Fixing meta tags typically moves this category from D to A and adds 5-10 points to the overall score.
Step 5: Optimize Content Structure
AI engines extract answers from your content. If the content is poorly structured, the AI either skips your page or extracts the wrong information. Content structure is about making your answer easy to find and quote.
What to check
- Answer-first pattern — does the first paragraph directly answer the page's primary question?
- Heading hierarchy — H1 through H4 used logically, not skipping levels
- Paragraph length — concise paragraphs (2-4 sentences) that AI can extract cleanly
- Lists and tables — structured information in machine-parseable formats
- Internal links — contextual links to related content on your site
How to fix it
Restructure your key pages to follow the answer-first pattern:
- Lead with the answer — put the core answer in the first paragraph, before any background or context
- Use clear headings — each H2 should be a question or topic that someone might search for
- Break up walls of text — use bullet lists, numbered steps, and tables to present information in scannable formats
- Add FAQ sections — include 3-5 common questions at the bottom of key pages
Before (poor structure):
"Our company was founded in 2018 with a vision to transform the industry. We believe that quality matters and our team of experts has decades of combined experience. Let us tell you about our approach to solving your problems..." (answer buried in paragraph 4)
After (answer-first):
"An AEO audit checks whether AI search engines can crawl, parse, and cite your website. It evaluates 9 categories including bot access, structured data, and content structure. Here is how to run one and what to fix first." (answer in sentence 1)
Expected impact: Content restructuring typically adds 5-15 points to the overall AEO score, depending on how much the original content deviated from answer-first patterns.
Step 6: Validate Your Sitemap
Your XML sitemap tells AI crawlers which pages exist and when they were last updated. A broken or incomplete sitemap wastes crawl budget and leaves content undiscovered.
What to check
- Sitemap exists — at
/sitemap.xmland referenced in robots.txt - Valid XML — no parsing errors or malformed URLs
- Complete coverage — all important pages are included
- Accurate lastmod dates — dates reflect actual content changes, not build timestamps
- No broken URLs — every URL in the sitemap returns a 200 status
How to fix it
Most site generators and CMS platforms auto-generate sitemaps. Verify that yours includes all indexable pages and excludes pages you do not want crawled (admin pages, duplicates, staging URLs). Update lastmod dates to reflect genuine content updates — AI crawlers use these to prioritize fresh content.
Expected impact: Sitemap fixes typically move this category from C to A and add 3-5 points to the overall score.
Step 7: Improve Performance and Security
Performance and security are trust signals. AI crawlers — like all crawlers — have time budgets. Slow or insecure sites get deprioritized.
Performance checklist
- Server response time under 500ms (ideally under 200ms)
- HTTPS enforced across all pages
- No mixed content (HTTP resources on HTTPS pages)
- Gzip or Brotli compression enabled
- Static assets cached with appropriate headers
Security checklist
- HSTS header —
Strict-Transport-Securitywith a max-age of at least 31536000 - X-Content-Type-Options — set to
nosniff - X-Frame-Options — set to
DENYorSAMEORIGIN - Referrer-Policy — set to
strict-origin-when-cross-origin - Content-Security-Policy — at least a basic policy defined
Expected impact: Performance and security fixes together typically add 5-10 points to the overall AEO score.
Step 8: Fix Accessibility Signals
Accessibility markup helps AI engines understand your page structure. Semantic HTML is not just for screen readers — it is for every machine that parses your content.
What to check
- Semantic HTML elements —
<article>,<nav>,<main>,<section>,<header>,<footer> - ARIA landmarks — present and correctly applied
- Alt text on images — descriptive, not just "image" or blank
- Language attribute —
<html lang="en">(or your language) specified - Skip navigation links — present for keyboard accessibility
Replace generic <div> wrappers with appropriate semantic elements. A page built entirely with <div> tags gives AI systems zero structural cues.
Expected impact: Accessibility improvements typically add 3-5 points and strengthen the machine-readability of your entire site.
Step 9: Consider Adding llms.txt
The llms.txt file is a newer standard — a plain-text file at your domain root that provides large language models with context about your site's purpose, structure, and preferred citation format. Think of it as a README for AI engines.
While not yet universally adopted, having an llms.txt file signals AI-readiness and gives you direct control over how LLMs understand your brand. Only about 12% of sites currently have one, so adding it puts you ahead of the curve.
Step 10: Re-Audit and Measure Progress
After making the changes above, run another audit at AEOprobe. Compare your new score against your baseline.
Here is what a typical before-and-after looks like:
| Category | Before | After | Key Fix |
|---|---|---|---|
| AI Bot Access | F (12%) | A (95%) | Removed GPTBot and ClaudeBot blocks |
| Structured Data | F (0%) | A (92%) | Added Article + FAQ + Organization schemas |
| Meta Tags | D (45%) | A (96%) | Added OG tags and canonical URLs |
| Content | C (62%) | B+ (82%) | Restructured to answer-first pattern |
| Sitemap | C (58%) | A (94%) | Fixed lastmod dates and broken URLs |
| Performance | B (78%) | A (93%) | Added compression, reduced TTFB |
| Security | C (55%) | A (90%) | Added HSTS, CSP, X-Frame-Options |
| Accessibility | D (40%) | B+ (84%) | Switched to semantic HTML |
| llms.txt | F (0%) | A (100%) | Created llms.txt file |
| Overall | D (39%) | A (91%) |
The jump from D (39%) to A (91%) is not hypothetical — we see transformations like this regularly among sites that systematically address each category.
Priority Order: Where to Start
If you are short on time, focus on the changes with the highest impact-to-effort ratio:
- Robots.txt — 5 minutes of work, unlocks everything (highest impact)
- Structured data — 30-60 minutes, dramatically improves machine readability
- Meta tags — 15-30 minutes if you have a framework with metadata support
- Security headers — 10 minutes in your server config
- Sitemap validation — 15 minutes to verify and fix
- Content restructuring — 1-2 hours per page for answer-first patterns
- Accessibility — ongoing, prioritize semantic HTML elements
- Performance — varies by architecture, but compression is quick
- llms.txt — 10 minutes to create a basic file
You do not need to fix everything at once. The audit is free, so run it after each batch of changes to see your score climb.
Ongoing Monitoring
AEO readiness is not a one-time project. AI crawlers update their behavior, new crawlers emerge, and your site changes with every deploy. We recommend re-auditing:
- Monthly — as a baseline health check
- After every major deploy — to catch regressions in robots.txt, meta tags, or structured data
- When your score drops — to identify which category regressed and why
Run your free AEO audit now — see exactly where your site stands and start climbing toward an A+.
Frequently Asked Questions
How long does it take to improve an AEO score?
Most sites can move from an F or D to a B within a few hours of focused work. The biggest gains come from robots.txt fixes and adding structured data — both are quick changes with outsized impact. Going from B to A+ usually takes a few weeks of iterative content and performance improvements.
Which AEO category should I fix first?
Start with AI Bot Access (robots.txt). If AI crawlers are blocked, nothing else matters — they cannot read your content regardless of how well-optimized it is. After that, prioritize Structured Data and Content Quality, as these directly affect whether your pages get cited in AI-generated answers.
Can I improve my AEO score without changing my content?
Yes. Many AEO improvements are purely technical: unblocking AI bots in robots.txt, adding JSON-LD schemas, fixing meta tags, updating your sitemap, and adding security headers. These changes affect how machines read your existing content without altering a single word of copy.
Does improving my AEO score hurt my traditional SEO?
No. AEO and SEO are complementary. Every AEO improvement — structured data, better meta tags, faster page speed, valid sitemaps — also strengthens traditional SEO. You are not trading one for the other; you are building on the same technical foundation.
Related Posts
What Is Answer Engine Optimization (AEO)? The Complete Guide for 2026
Answer Engine Optimization (AEO) is the practice of optimizing content so AI search engines can crawl, parse, and cite your website. Learn the 9 audit categories and how to check your score.
Read moreAI Search Audit: A Technical SEO Audit for AI Readiness
An AI search audit is a technical SEO audit for AI readiness. Learn what it should check, how it differs from a normal audit, and what AEOprobe surfaces in one live report.
Read morerobots.txt for AI Bots: Should You Block or Allow GPTBot, ClaudeBot, and PerplexityBot?
Learn which AI crawlers to allow or block in your robots.txt file. Covers GPTBot, ClaudeBot, PerplexityBot, and 11 more bots with 2026 best practices.
Read moreSchema Markup Audit: How to Find Missing, Broken, and Misleading Structured Data
Learn what a schema markup audit should check, why valid JSON-LD is not enough, and how AEOprobe surfaces supported, limited, and removed markup patterns in one report.
Read moreWe Audited 50 Sites for AI-Readiness — Here’s What We Found
Original research: we audited 50 websites across industries for AI search readiness. Average AEO score, most common failures, and key findings.
Read more