LLM Visibility Tool

LLM Visibility Tool for AI Search & Citation Readiness

Amisora measures what traditional SEO tools miss—whether AI engines can actually find, understand, and cite your content. Audit your pages across 30+ signals built specifically for LLM visibility.

No credit card required 20 free page credits Results in ~2 minutes
The Concept

What LLM visibility means in practice

LLM visibility is the degree to which your content can be surfaced, interpreted, and used as a source by large language models. When someone asks ChatGPT a question about your industry, LLM visibility determines whether your company is the one being quoted—or whether the AI pulls from a competitor instead.

It’s not just about whether the LLM “knows” your brand from its training data. Modern AI search engines like Perplexity and Google AI Overviews retrieve live web content at query time. That means your current pages, their structure, and their clarity directly determine whether you earn citations in real-time AI answers.

Traditional SEO metrics tell you very little about LLM visibility. A page can rank #1 in Google yet be nearly invisible to AI answer engines because it lacks the structural and semantic signals these systems need. That’s the gap an LLM visibility audit is designed to close.

What We Measure

Seven dimensions of LLM visibility, scored per page

Amisora evaluates every page across the signals that AI engines use when deciding which sources to cite. Here’s what each audit covers.

AI Visibility Score

The composite metric. Your overall likelihood of being surfaced in AI-generated answers, calculated from all underlying dimensions with confidence intervals.

Answerability

Does the page clearly answer specific questions? We check for complete definitions, step-by-step guidance, numeric data, and direct response patterns.

Extractability

Can an AI system cleanly extract facts, definitions, and data points? We evaluate HTML structure, heading hierarchy, list usage, and content segmentation.

Citation Readiness

Does the content include trust signals an AI would need to cite it? We look for source attribution, original data, author information, and verifiable claims.

Entity Clarity

Are people, products, and concepts unambiguously defined? Entity density and naming consistency help LLMs map your content to their knowledge graphs accurately.

Ambiguity & Brand Signals

Vague claims reduce citation likelihood. We flag hedging language, contradictions, and weak brand presence that make AI engines less confident in referencing your content.

Read the full detail on how each signal is weighted in our scoring methodology.

The Gap

Why generic SEO tools can’t measure LLM visibility

Capability
SEO Tools
Amisora
Keyword rankings
Yes
Backlink analysis
Yes
AI citation readiness
Yes
Answerability scoring
Yes
Entity clarity analysis
Yes
Copy-paste fix diffs
Yes
Ambiguity risk scoring
Yes

The two approaches are complementary. Use your SEO tool for rankings and links. Use Amisora for answer engine optimization and LLM visibility.

Why Amisora

Why teams choose Amisora for LLM visibility

Purpose-built for AI search

Amisora was designed from day one to measure the signals AI engines actually evaluate. It’s not a traditional SEO tool with an “AI” label bolted on—every signal, score, and recommendation targets LLM discoverability.

Actionable, not advisory

Other tools give you vague guidance. Amisora gives you the exact paragraph to change, the specific wording to use, and the projected score gain. Apply fixes in minutes, not weeks.

Full-site audit in ~2 minutes

Submit your domain, Amisora crawls your sitemap, and you get page-level scores and fixes within minutes. No API integrations, no onboarding calls, no waiting.

Track improvement over time

Re-scan after implementing fixes to see your scores climb. Historical comparisons let you demonstrate progress to stakeholders and justify ongoing optimization investment.

Works with any website

WordPress, Webflow, Shopify, custom builds, static HTML—if your site has a sitemap and public pages, Amisora can audit it. No plugins or code changes required.

Built for teams

Portfolio dashboards, multi-site management, and shareable audit reports make it easy for marketing, content, and SEO teams to collaborate on AI visibility. View team plans.

FAQ

Common questions about LLM visibility

An LLM visibility tool measures how well your content can be discovered, interpreted, and cited by large language models like GPT-4, Claude, Gemini, and the AI engines that power ChatGPT, Perplexity, and Google AI Overviews. It evaluates signals that traditional SEO tools don’t measure. Learn more about how this relates to answer engine optimization.
Amisora scans each page against 30+ AI search signals and scores it across seven dimensions: AI visibility, answerability, extractability, citation readiness, entity clarity, ambiguity risk, and brand signals. Each dimension gets a 0–100 score with specific fixes to improve it. See the scoring methodology for full details.
Traditional SEO tools measure keyword rankings, backlinks, crawlability, and page speed. They don’t evaluate whether AI systems can extract clean answers from your content, identify entities, assess citation trustworthiness, or score ambiguity risk. These are the signals that determine LLM visibility.
Any page that answers a question or explains a concept. High-priority targets include product pages, feature overviews, documentation, knowledge base articles, how-to guides, comparison pages, and FAQ content. Blog posts targeting informational queries also benefit significantly.
Yes. Amisora offers a free tier with 20 page credits, no credit card required. You can run a full audit and see detailed results before upgrading. See all plans.

See how visible your content is to LLMs

20 free page credits. No credit card. Full audit results in about 2 minutes. Find out exactly where you stand in AI search.