Is your content AI-ready?

Standard content audits focus on human readers and traditional search. They typically look at readability, SEO keywords, brand voice, and link structure. These factors are important, but they do not tell you whether an AI system can break your content into useful chunks, find the right passage, and cite it accurately.

AIRR-10 is designed specifically for AI retrieval. It evaluates your content across ten dimensions that are weighted for their impact on RAG and AI-mediated discovery, using clear, published rubrics. The result is a quantified picture of your AI readiness and a prioritized remediation roadmap tailored to your AI use case.

Submit content that is in front of an AI system today or about to be: knowledge base articles;  product documentation;  SOPs;  thought leadership;  training material;  marketing or sales content;  or legal, compliance, or policy content.

The strongest submissions share three traits.

1. They cover a single topic or process rather than spanning many.

2. They represent the content type you most want to improve.

3. They are documents you could realistically act on if the evaluation surfaces gaps.

A few formats do not extract cleanly and will lower the confidence of the evaluation: slide decks, scanned PDFs without selectable text, spreadsheets, and documents that are primarily images or diagrams.

Not sure which to choose?

Pick the documents your team complains about most; the ones where people say "I can never find what I need" or "the AI keeps getting this wrong." Those are almost always the highest-value candidates.

The content type tells us what a piece of content is for, which lets us score it fairly. We grade a white paper against what a good white paper should do, and a marketing page against what good marketing should do. Without that, the framework might ding your sales page for light citations (normal for marketing) or flag your white paper for not being in FAQ format (not a real problem). Picking the type calibrates the bar.

One tip that trips people up: content type is about purpose, not where it lives or what it's called. A blog post isn't its own type; depending on its intent it might be thought leadership, a how-to, or a marketing piece. Pick the type that matches what the content is trying to accomplish.

The eight types:

• Knowledge base article or FAQ: answers to common questions.
• Technical documentation or user manual: reference material for how a product or system works.
• Standard operating procedure: step-by-step how-to.
• White paper or thought leadership: research-backed, argument-driven, cited.
• Training or enablement content:  material designed to teach or onboard.
• Marketing or sales content: content meant to drive an audience toward an action.
• Legal and compliance content: contracts, regulatory, compliance material.
• Policy or governance document:  what is required and why.

These eight are the built-in types that cover most enterprise content, and they're all you need for this evaluation. In a full engagement, we go further: we specialize content types for the unique purposes a given organization works with, since real content libraries often include formats and intents these defaults don't capture. For now, map your submission to the closest fit and we'll take it from there.

Not sure which fits?

Pick the closest match to the content's main job. We confirm the mapping during evaluation, so a near-miss won't sink your results.

Fifty pages per sample is the sweet spot. It is long enough to reveal repeating patterns, while still keeping the review focused and manageable. If your document is longer than 50 pages, you have two options:

• Trim your document to the 50 pages you most want us to evaluate before uploading. This gives you full control over what we score.

• Upload the full document as-is, and we will review a representative sample that reflects its main structures and topics. Our analysts select sections based on what will give you the most useful results, not just the first, middle, and last pages.

If you would like us to evaluate the entire document, we can do that as part of a paid engagement. Simply mention this in the “Anything else we should know?” field, and we will follow up with you.

The use case is how you plan to put this content in front of AI. It doesn't change your scores; the ten dimensions are weighted the same either way. What it changes is which gaps we highlight first in your roadblocks and fixes, so the guidance fits the system you're actually building. The same content can need different priorities depending on where it's headed.

The three use cases:

• Public AI Search / GEO: you want this content found, cited, and accurately summarized by AI systems you don't control, like ChatGPT, Perplexity, and AI-powered search. Here we lean hardest on clear concept definitions, rich extractable metadata, and a distinctive point of view, because content that reads as generic won't get cited.
• Enterprise Search / RAG: the content lives in systems you control and gets retrieved to answer internal queries, either surfaced to a person or fed to an AI that generates a grounded answer. Here structure and chunking, semantic clarity, and explicit concept relationships carry the most weight, with verifiability elevated so answers stay auditable.
• AI assistant or chatbot: people interact with the AI's answer, not your original document. Here question-answer alignment matters most, because the chatbot can only work well if your content already anticipates the questions users ask.

If you're exploring rather than committed to one path, tell us that. We can run a general retrieval-readiness read, then sharpen the guidance once a deployment is confirmed.

Yes. The content you upload is kept strictly confidential and used only to generate your AIRR-10 evaluation. Earley Information Science does not sell, license, share, or otherwise disclose your content outside our organization.

We do ask that you avoid submitting content that is subject to NDA, export control, HIPAA, or other special confidentiality requirements.

No. We do not allow any EIS AI diagnostic accelerators to use your data to train models or to support any other product. After we deliver your results, we retain your content only for a limited time so we can respond to any follow-up questions you may have.

You will receive two coordinated deliverables:

• An Excel scorecard with dimension scores, cited evidence, prioritized roadblocks, and, for multi-document submissions, cross-document patterns

• A Word memo that explains the findings and highlights the central issue

If the results raise broader questions, the next step is a 30-minute conversation with an EIS expert to discuss what the findings mean for your wider content landscape. The complimentary evaluation is a starting point, not a full project plan. The conversation helps us determine together whether a deeper engagement is the right next step.