AI Visibility Checklist: 30 Things to Fix
Before AI search can cite you, these 30 signals need to be in place. Check them manually or let Amisora audit all of them in seconds.
Why you need an AI visibility checklist
AI search engines evaluate content differently from traditional search. They don't just look at keywords and backlinks-they assess whether your content is clear enough to extract, structured enough to parse, and trustworthy enough to cite. Our guide to LLM-extractable content covers the formatting rules in depth.
Amisora audits 30+ of these signals automatically, scoring each page across seven dimensions. But whether you use the tool or check manually, knowing what to look for is the first step. This checklist covers every signal, organized by category.
Content structure signals
How your content is organized determines whether AI can extract the right passages.
Clean H1 → H2 → H3 heading hierarchy
One H1 per page, logical H2/H3 nesting. No skipped levels. AI uses heading structure to identify section boundaries and topic scope.
Question-based H2 headings
H2s framed as real questions users ask. AI matches query text to headings to find answer passages.
Direct answer in the first 1-2 sentences after each H2
Front-load the factual answer before elaboration. AI extracts opening statements from sections.
Ordered lists for steps and processes
Use <ol> for sequential instructions. AI Overviews frequently display step lists directly in generated answers.
Unordered lists for features and benefits
Use <ul> for non-sequential lists. Bullet points are easily extractable by AI answer engines.
Comparison tables for alternatives
Use HTML <table> elements for comparisons. Tables are featured-snippet eligible and AI-extractable.
Short paragraphs (3-4 sentences max)
Shorter paragraphs are easier for AI to segment and extract. Walls of text reduce extractability.
Definition patterns for key concepts
Use "[Term] is [definition]" patterns. AI engines use these to build entity understanding and quote definitions directly.
Entity clarity & content quality signals
AI engines need to understand what your content is about and who is saying it.
Explicit entity definitions
Define products, people, and concepts on first mention. "Amisora is an AEO platform" vs. assuming the reader knows.
Consistent naming throughout
Don't switch between "AEO," "answer engine optimization," and "AI search optimization" randomly. Pick a primary term and be consistent.
No vague qualifiers or unsupported claims
Remove "many experts say," "it's widely believed," and "studies show" (without citations). AI avoids citing ambiguous content.
Specific data points and statistics
Include concrete numbers, dates, and measurements. AI engines prefer citing verifiable facts over general assertions.
Original insights or unique data
Content that merely restates common knowledge is less likely to be cited. Add original analysis, proprietary data, or expert perspective.
No contradictory statements
Ensure your page doesn't say "X is true" in one section and "X is debatable" in another. Internal contradictions reduce citation confidence.
Clear scope and topic boundaries
Each page should cover one well-defined topic. Pages that try to cover everything dilute their authority on any single question.
Schema & structured data signals
Machine-readable markup that reinforces your on-page content for AI parsers.
Article schema with author and dates
Add Article schema including author, datePublished, and dateModified.
FAQPage schema for question/answer content
Wrap FAQ sections in FAQPage schema. Maps directly to how AI engines process Q&A content.
HowTo schema for step-by-step guides
Add HowTo schema with named steps. Eligible for rich results and AI step extraction.
Product schema for product pages
Product + Offer with price, availability, SKU, and brand. Essential for product page AI citations.
Organization schema
Site-wide Organization schema with name, URL, logo, and social links. Establishes entity identity for LLMs.
BreadcrumbList schema
Helps AI engines understand site hierarchy and page context within the overall site structure.
No schema validation errors
Invalid schema is worse than no schema. Test all structured data with Google's Rich Results Test or Schema.org validator.
Trust & authority signals
AI engines need to trust your content before citing it in generated answers.
Visible author information
Author name, bio, and credentials visible on the page. Anonymous content signals lower trustworthiness.
Publication and last-updated dates
Visible dates in both on-page text and schema markup. Freshness matters for time-sensitive queries.
Source citations for claims and data
Link to primary sources when citing statistics or making factual claims. Verifiable content is cited more confidently.
HTTPS and clean URL structure
HTTPS is table stakes. Clean, descriptive URLs reinforce topic signals for AI crawlers.
Consistent brand signals across the site
Same organization name, logo, and identity across all pages. Internal consistency strengthens entity recognition in LLMs. Set up AI brand monitoring to track how consistently AI engines represent your brand.
Technical readiness signals
The technical foundations that ensure AI crawlers can access and process your content.
Critical content in server-rendered HTML
Don't rely on JavaScript to render your key content. AI crawlers may not execute JS. Ensure answers, definitions, and facts are in the initial HTML.
Sitemap.xml with all content pages
A complete, valid sitemap helps AI crawlers discover all your content. Include lastmod dates and prioritize key pages.
llms.txt file for AI-specific discoverability
A llms.txt file tells AI crawlers what your site is about, which pages matter most, and how to interpret your content. It's the robots.txt equivalent for AI engines.
Or let Amisora check all 30 signals automatically
Checking each item manually works, but it takes time-especially across dozens of pages. Amisora scans every signal in seconds and gives you scored, prioritized results.
30+ signals per page
Every signal on this checklist (and more) is automatically evaluated. No manual HTML inspection needed.
Seven-dimension scoring
Pages are scored on AI visibility, answerability, extractability, citation readiness, entity clarity, ambiguity risk, and brand signals. See the full feature breakdown.
Specific fix recommendations
Every flagged issue comes with a specific text-level fix you can apply directly. Before/after diffs show exactly what to change.
Full-site scanning
Submit your sitemap and audit your entire site at once. Prioritize fixes by projected score impact across all pages.
Track progress over time
Re-scan monthly and watch your AI visibility scores improve. See which fixes had the biggest impact. Use the LLM visibility tool for ongoing monitoring.
20 free page credits
No credit card required. Audit your top pages for free and see exactly where your AI visibility stands before committing to a plan. View all plans.
Frequently asked questions
Skip the manual checklist. Run the audit.
Amisora checks all 30+ AI visibility signals in seconds and tells you exactly what to fix, in priority order. 20 free page credits, no credit card.