Does AI know that you exist?
Ever wonder if AI can actually see you? Better yet, recommend you? Beyond Visibility is built to answer exactly that with a score, not a guess. Point it at your website and you get a score from 0 to 100, plus a clear list of what to fix and why. No guesswork: every tip comes from real research into how AI picks who to mention.
Products
Technical Grader
Enter a live URL. Get a Technical Score across five categories (schema markup, AI crawler access, metadata, freshness, extractability), so you can see exactly what's blocking it from being retrieved and read by AI at all.
Content Grader
Paste an article or upload a doc (PDF, Word, Markdown, plain text) and get a 0–100 score across seven weighted categories (AI Answerability, Structure & Chunking, Citations & Evidence, and more), plus quoted, prioritized fixes. This standalone tool is coming back soon.
How it grades
Five weighted categories
Schema & Structured Data, AI Crawler Access, Metadata & Semantics, Freshness Signals, and Extractability, each scored 0–100 and rolled into one overall grade, weighted by how much each one actually blocks retrieval.
Every deduction is quoted
Recommendations cite the exact line that caused them, whether that's a robots.txt rule, a missing tag, or an invalid schema block, along with a concrete fix and an estimated point impact, so you never get vague advice you have to translate yourself.
Checks the stage before content even matters
A page blocked by robots.txt or missing schema never reaches the point where an AI model reads a single word of it. These are the checks that decide whether your writing gets a chance to compete at all.
Frequently asked
Is this the same as SEO?
No, but it's not a replacement either. Think of AEO as SEO's newer sibling. Classic ranking signals like crawlability, authority, and freshness still matter; retrieval just adds a passage-level layer on top, and there's no page-one click-through funnel to fall back on if that layer fails.
What does the Technical Grader actually check?
Five categories from one URL: Schema & Structured Data, AI Crawler Access, Metadata & Semantics, Freshness Signals, and Extractability — whether AI can even reach, parse, and understand what your page is, before a single word of the writing itself gets judged. Content scoring (AI Answerability, Structure & Chunking, Citations, and more) is coming back with the standalone Content Grader.
Which AI platforms does this actually target?
The check set is grounded in how retrieval-augmented answer engines behave generally. ChatGPT, Perplexity, Claude, and AI Overviews all share the same fetch-chunk-retrieve-synthesize shape, even though none of their exact ranking algorithms are public.
How often do the rubric weights change?
Rarely, and only on evidence. Every category weight is pulled straight from the versioned rubric config the grader runs against (see the 101 page for the current breakdown), so a score you get today stays comparable until that version number moves.
Can a perfect Technical Score still mean you don't get cited?
Yes. A perfect Technical Score means nothing is blocking AI from reaching and reading your page — it says nothing about whether the writing itself is answer-shaped, well-sourced, or citable, which is what the Content Score (coming back with the Content Grader) measures. Citation also depends on factors outside any single page: how many competing pages answer the same question, how established the domain is, off-page mentions no page grade can read.
Where do the numbers in the research callouts come from?
Primarily the Princeton GEO paper (10,000 queries across 25 domains), plus supporting industry research on content chunking, freshness, and answer-first structure. Those sources inform the content rubric returning with the Content Grader; the Technical Score's weights are grounded in what actually blocks an AI crawler from reaching a page in the first place.