Check your article's AI Search Readiness score, find missing content signals, and generate the right JSON-LD schema markup in one workflow. Built for ChatGPT, Claude, Perplexity, and Google AI Overviews.
The fastest path from “I have an article” to “it’s structured for AI search.” No plugins. No schema docs. No dev tickets.
Paste your article and get a 0–100 score across direct answers, structure, citations, quotability, entity clarity, factual density, and freshness.
Get priority fixes, per-category reasons, evidence-backed findings, and a schema-content alignment check — before generating markup.
Move to the Schema Generator with your article pre-filled. Get JSON-LD that matches what your content actually supports.
You published the article. Did the research. Added some schema. But when someone asks ChatGPT about your topic, a competitor shows up as the cited source. Not you.
It's not because their content is better. Mediocre content with good schema beats good content with bad schema. The gap isn't quality — it's structure.
AI engines look for specific signals before they quote anything: a direct answer in the first 100 words, a clean summary block, named entities, speakable markup. Miss those and they skip you entirely.
Most schema tools are form-fillers. Type a headline, get a generic Article schema. This isn't that. The engine reads your actual article and audits it across three layers:
How clearly your entity is defined. People, places, products, organizations — the named anchors AI engines triangulate before they trust any source.
How well your claims are grounded and verified. Sourced data, citable facts, statements an engine can trust enough to quote verbatim in an answer.
How cleanly AI engines can extract and cite your content. JSON-LD that's hard-coded, not JS-rendered. Schema that matches what you actually wrote.
0 to 100, across four dimensions. Each one maps to a real reason AI engines skip content. Each one is scored independently — so you know exactly where to focus.
AI engines run on what researchers call an Answer Budget. They prioritize sources they can scrape efficiently. Your core answer needs to be in the first 100 words. Headings need to be statements, not vague labels.
Voice search is growing 200–300% annually. 99.97% of websites have no speakable markup. Without it, Alexa, Google Assistant, and Siri skip your article entirely — even if the text is perfect.
AI engines don't rank by keyword density. They rank by entities and relationships, cross-verifying facts across structured databases — what researchers call authority by triangulation.
AI engines favor content that mimics academic research: verifiable claims, sourced data, grounded statements. This is grounding. High-opinion, low-fact articles score poorly here regardless of writing quality.
Four dimensions scored independently. Know exactly where you stand before publishing — not after the window for easy fixes has passed.
Not a generic checklist. The engine reads your specific article and surfaces the exact signals missing from your content. Every finding is evidence-backed.
Auto-detects type. Hard-coded for AI crawlers.
The sentences voice assistants will lift.
Named anchors AI engines need to trust.
Track improvement article-by-article over time. Export full reports for client delivery. Your history stays accessible across sessions.
No subscription. No monthly renewal catching you off guard. One credit covers the full workflow: score, gap report, schema, speakable, entity check, export.
Credits only get used on successful analyses. If the engine fails to return a result on any article you submit, the credit comes back automatically. You never pay for a broken output.
Credits never expire — no clock running. Top up when you have articles to process. Use them at your pace.
Practical guides on schema.org, JSON-LD, and Answer Engine Optimization. Learn the mechanics behind your AI Citation Score.
FAQPage schema tells AI engines exactly where your answers are. Learn how to implement it correctly, write answers that get cited, and avoid the mistakes that suppress indexing.
Read guideA practical guide to adding JSON-LD structured data to blog posts. Includes a complete field reference, copy-paste code for BlogPosting, FAQPage, and BreadcrumbList, and platform-specific setup guides.
Read guideLearn how to implement Schema.org structured data on any website. Complete JSON-LD code examples for every major schema type, common errors to fix, and a validation workflow.
Read guideMake sure your content is one of them. Paste any article and get your AI Citation Score in under 60 seconds. See exactly what's missing. Generate the schema markup to fix it.
Credits never expire · Results in 60 seconds · Starter Pack from $47