AI Visibility Audit for AI Search Readiness
Find out whether AI search engines can actually cite your content. Amisora’s AI visibility audit scores your pages across 30+ signals and tells you exactly what to fix—in about 2 minutes.
What is an AI visibility audit?
An AI visibility audit evaluates how well your web pages can be discovered, understood, and cited by AI search engines. Traditional SEO audits answer the question “Can search engines find and rank my pages?” An AI visibility audit answers a different question: “Will AI engines actually use my content as a source when generating answers?”
The distinction matters because ranking well in traditional search doesn’t guarantee AI visibility. A page can sit at position one on Google yet be completely ignored by ChatGPT, Perplexity, or Google’s own AI Overview because it lacks the structural clarity, semantic density, or trust signals these systems require to cite a source confidently.
Amisora’s AI visibility audit bridges this gap. Enter your domain, and the platform crawls your sitemap to analyze each page against the specific signals that determine answer engine optimization readiness. In about two minutes, you get a clear picture of where your content stands—and what to change.
Seven dimensions of AI search readiness
Every audit breaks down your content across the exact dimensions that AI engines weigh when deciding whether to cite a source.
AI Visibility Score
Your composite score across all dimensions. A single number that reflects how likely your page is to appear in AI-generated answers, with confidence intervals and historical tracking.
Answerability
Does your content directly answer the questions your audience asks? We evaluate definition completeness, step-by-step clarity, and how well your content resolves specific user intents.
Extractability
Can AI systems pull clean, coherent passages from your page? We assess HTML structure, heading hierarchy, list formatting, and whether your key points are in crawlable text rather than images or scripts.
Citation Readiness
Are your claims verifiable? We check source attribution, original data, author signals, and the trust markers that give AI engines the confidence to cite your page over competitors.
Entity Clarity
Are people, products, and concepts on your page unambiguously defined? LLMs need strong entity signals to map your content accurately into their knowledge representations.
Ambiguity Risk
Vague claims, hedged language, and contradictory statements make AI systems reluctant to cite a source. Amisora flags content that’s too ambiguous for confident AI reference.
Learn how each dimension is calculated in the scoring methodology.
The most common AI visibility issues we find
After thousands of page audits, these are the patterns that surface again and again—even on sites with strong traditional SEO.
Content that describes but doesn’t answer
Pages talk about a topic without directly answering the questions people ask. AI engines need content that resolves a query in a specific, extractable passage—not content that merely surrounds a topic with context.
Flat heading hierarchy
Pages with a single H1 and no meaningful subheadings force AI engines to parse large blocks of undifferentiated text. Clean H2/H3 structure lets AI systems locate and extract the right passage for a given query.
Vague or unverifiable claims
“We’re the best solution in the market” is not citable. AI engines prefer specific, verifiable statements with data, named sources, or clear factual grounding. Vague superlatives reduce citation confidence.
Weak entity definition
Products, people, and brands mentioned on the page aren’t clearly defined. LLMs map content to knowledge graphs, and ambiguous entity references lead to missed or inaccurate citations.
Important content locked in non-text formats
Key data inside images, infographics, JavaScript-rendered tabs, or PDFs is invisible to AI crawlers. If it’s not in clean, crawlable HTML, it can’t be extracted or cited.
No differentiation from competitors
When your content says the same things in the same way as every other page on the topic, AI engines have no reason to prefer your version. Unique data, original frameworks, and specific expertise earn citations. Read our guide on how to get cited in AI search for a practical framework.
Why this is different from traditional SEO auditing
Different question
SEO audits ask “Will this rank?” AI visibility audits ask “Will this be cited?” Both matter, but they measure fundamentally different capabilities of your content.
Different signals
Traditional audits check keywords, backlinks, and crawlability. AI audits check extractability, answerability, entity clarity, and citation readiness—the signals LLMs use to choose sources for generated answers.
Different output
Instead of keyword recommendations, you get paragraph-level content fixes. Specific before/after diffs that improve the structural and semantic qualities AI engines evaluate when deciding what to cite.
Complementary, not competing
Strong traditional SEO helps AI engines discover your content in the first place. AEO ensures they actually cite it once found. The best strategy layers both. Learn more about what AEO is and how it fits your existing stack.
Measurable and repeatable
Like a traditional audit, Amisora gives you quantified scores you can track over time. Re-scan after applying fixes to verify improvement. Use historical data for stakeholder reporting.
Built for the AI era
Traditional SEO tools were built for Google’s PageRank era. Amisora is built for generative search—where being a source is more valuable than being a link. See how this applies to AEO for ecommerce or explore the LLM visibility tool for deeper analysis.
What you get after running an audit
Page-level AI visibility scores
Every audited page gets a composite score plus individual dimension breakdowns. Instantly see which pages are AI-ready and which need work.
Copy-paste content fixes
Every issue comes with a specific before/after text diff. No vague recommendations—just exact changes you can apply in your CMS in minutes.
Projected score lift per fix
See the estimated point improvement for every recommended change before you publish. Focus your effort on the fixes that move the needle most.
Prioritized issue list
Issues are ranked by projected impact so you tackle the highest-value optimizations first. Ship meaningful gains this sprint, not next quarter.
Portfolio-level dashboard
Manage multiple sites or sections from a single view. Track aggregate AI health, monitor credit usage, and jump to your highest-impact pages. See the full feature set.
Historical comparison
Re-scan after applying fixes and compare against previous audits. Demonstrate measurable AI visibility improvement in stakeholder reports.
Frequently asked questions about AI visibility audits
Run your first AI visibility audit free
20 page credits, no credit card, results in 2 minutes. See exactly how AI search engines evaluate your content.