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Readable. Built for AI Search.

  • Dec 2, 2025
  • 2 min read

Readable. If AI doesn’t get your website, no one sees it now.


If your site isn’t readable to AI, it’s already falling behind.

Readable is a technical search interpretation product that makes your site legible to AI search and answer engines—so it can be surfaced, summarized, and cited accurately.


Why Readable Exists

Modern search systems no longer rely on simple ranking signals.


They construct internal representations of websites based on structure, intent, semantic consistency, and technical signals, then decide whether a site is reliable enough to be included in search results, AI summaries, and generated answers.

Most websites were never designed for this layer of evaluation.

The result is not a ranking drop. It’s misclassification, suppressed visibility, or silent exclusion from AI-driven discovery.


What Readable Does

Readable performs a deep, manual analysis of how your website is processed across the full interpretation pipeline, including:

  • How content is parsed

  • How intent is inferred

  • How topics are clustered

  • How technical configurations influence comprehension at scale

This work happens before SEO tactics, content strategy, or growth initiatives.


What Readable Evaluates

Page Intent Resolution

Whether each page communicates a single, unambiguous purpose—and whether that purpose is reinforced or contradicted elsewhere on the site.

Topic Architecture and Hierarchy

How subject matter is distributed across pages, where overlap creates ambiguity, and whether the site establishes clear ownership of key concepts.

Semantic Consistency

How terminology, naming conventions, and language patterns affect perceived expertise and trustworthiness.

Internal Relationship Modeling

How pages reinforce each other through structure, linking, and contextual signals rather than competing for the same interpretive space.

Technical Interpretation Signals

Indexing behavior, metadata, canonicalization, structured data, rendering considerations, and platform-specific constraints that affect how systems process and summarize the site.

AI Summarization and Citation Behavior

How the site is currently represented, flattened, misquoted, or omitted across AI search and answer engines.


How Readable Is Different

Readable is intentionally not automated.

Automated tools surface surface-level issues, but they cannot detect interpretive failure or explain why a site isn’t treated as a trustworthy source.

Readable is:

  • Senior-led

  • Platform-specific

  • Grounded in how modern search and AI systems actually interpret websites


The output is not a score or a checklist. It’s an implementation-ready interpretation model showing:

  • How machines currently understand your site

  • Where that understanding breaks

  • What structural, linguistic, and technical changes will correct it


Where Readable Fits

Readable sits upstream of SEO, content, and growth.

Without interpretive clarity, downstream work compounds noise. With clarity restored, optimization and content can finally compound.

Readable is built for organizations that rely on being understood, summarized, and confidently referenced in an AI-driven search environment.


Start Here

If AI can’t understand your site, it can’t surface it.

To begin, book directly with me to start the Readable engagement.




About the Author

Sarah A. Sherman is the founder of Illustrated Domain, a strategy-led digital agency recognized for helping brands thrive in a rapidly shifting search landscape. With 30+ years of experience spanning finance, film, and global nonprofit leadership, her work blends creative clarity with systems thinking. she now advises high-impact businesses navigate the intersection of AI search, SEO, and digital trust—building not just traffic, but reputational equity that endures.


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