The LLM Content Assessor
Traditional SEO audits were built for Google.
But search is changing, and your visibility now also depends on how AI models read, retrieve, and reuse your content.
When someone asks ChatGPT, Perplexity, or Gemini a question, those systems don’t “rank” pages. They retrieve them. Chunk by chunk, based on clarity, citations, schema, and structure.
That’s where The LLM Content Assessor comes in.
It’s a Custom GPT built to audit, score, and improve your content for AI search visibility, showing how ready a page is to be retrieved or cited by large language models.
Using a 10-factor, 100-point framework, it analyses everything from answerability and evidence to schema, freshness, and safety, and turns that into a ranked Fix-First plan grounded in real retrieval logic.
What It Does
The LLM Content Assessor evaluates any webpage, article, or document to determine how retrievable, citable, and AI-ready it really is.
It uses a 10-factor, 100-point rubric to score your content against how large language models like ChatGPT, Perplexity, and Gemini actually process information, across factors such as:
Answerability & Chunking: Are your sections extractable in 200–400 token spans?
Evidence & Citations: Are your claims verifiable and date-stamped?
Entity Hygiene & Schema: Can AI systems clearly identify your brand and structure?
Freshness, Intent, and Safety: Does the content appear recent, useful, and trustworthy?
Every audit produces:
A full category-by-category scoring breakdown
A Fix-First Plan that ranks improvements by impact vs. effort
Ready-to-paste rewrites (titles, Q&As, tables, schema JSON-LD)
Clear “Why (LLM Logic)” explanations showing why each fix matters to AI retrieval systems
Who It’s For
The LLM Content Assessor is built for anyone responsible for content visibility in a world where AI search now shapes discovery.
SEO Strategists & Content Leads who need to understand how AI systems actually retrieve content, not just how Google ranks it.
Digital Marketers & Copywriters who want to align blogs, guides, and landing pages with how ChatGPT, Perplexity, and Gemini process information.
Publishers & Agencies running AI readiness checks before client content goes live.
Founders & Marketing Teams testing how well their own websites could appear in AI Overviews or assistant answers, without relying on third-party tools.
How It Works
The LLM Content Assessor runs every audit like a professional-grade content evaluation, not a text analysis.
It follows a structured, six-step process designed around retrieval mechanics, not SEO guesswork:
Input: Paste a URL, article, or document (PDF, DOCX, or plain text).
Ingest & Parse: The tool fetches the main content area, stripping out navigation, ads, and sidebars for a clean analysis.
Score: It applies a 10-factor, 100-point rubric, grading your content on Answerability, Citations, Schema, Intent, Originality, and more.
Diagnose: Each issue is documented with evidence and retrieval reasoning — how it affects your content’s ability to be cited or surfaced in AI search.
Prioritise: Using a built-in Priority Fix Generator, every recommendation is ranked by Impact ÷ Effort, so you know where to start.
Deliver: The GPT outputs two deliverables:
A structured JSON summary (for data integration or batch audits)
A readable, strategist-style report with scores, fixes, and ready-to-paste rewrites.
Limitations
Like all my CustomGPT tools, the LLM Content Assessor is built for precision, not perfection.
It’s designed to translate complex retrieval theory into practical, usable guidance, but it still operates within certain limits.
It doesn’t guarantee AI inclusion. The tool measures readiness, not outcomes. Visibility still depends on model updates and live web corpora.
It can’t crawl gated or login-protected pages. Audits are based only on accessible content.
It focuses on structure, not creativity. It won’t judge tone, storytelling, or brand voice unless they impact retrievability.
It assumes accurate source data. Citations and schema are verified for format, not factual truth.
It’s an advisor, not a replacement. Final decisions on edits, schema, and disclaimers still require human judgment.
In other words, it won’t make you rank in AI search overnight.
But it will show you, with measurable clarity, what’s holding your content back and what to fix first.
Summary
The LLM Content Assessor is the first GPT built specifically to audit how AI systems (not search engines) read and retrieve your content.
It transforms technical retrieval theory into clear, actionable steps, showing exactly how ready your pages are to appear in ChatGPT, Perplexity, Gemini, and AI Overviews.
By scoring across 10 key factors, from answerability and evidence to schema and freshness, it replaces vague SEO advice with measurable, ranked priorities.
For content strategists, agencies, and marketing teams, it’s a new kind of audit: one that helps you earn visibility, trust, and citations in the next era of search.
