Theclosedloop
How Scrunch and SitecoreAI fix AI invisibility
AI assistants are becoming a first-touch channel for how people find and evaluate brands. When a prospect asks ChatGPT, Gemini, or Perplexity a question, your organisation is either part of the answer or absent from the conversation entirely. This whitepaper explains how Scrunch and SitecoreAI work together as one system to detect where a brand is missing, wrong, or invisible, and to fix it at the content source.
- The three ways AI invisibility happens, and what causes each one
- Why content governance, not the website, is usually the real starting point
- How to author content that AI models can extract and cite with confidence
- How Agentic Studio applies fixes across thousands of pages under human review
- A measurement model that proves whether AI visibility actually improved
What you'll learn from this whitepaper
Most organisations can see the symptoms of AI invisibility before they can explain the cause. A competitor is recommended and they are not, or an assistant describes them using outdated information. A visibility report shows the gap, but it does not fix the page, retire the duplicate asset, or publish the change. This paper shows how detection and remediation can operate as one continuous loop, grounded in GammaDX’s SitecoreAI delivery experience.
Missing, wrong, or invisible
AI invisibility shows up in three distinct forms, each with a different cause and a different response. Learn how Scrunch maps these gaps by persona, market, topic, and competitor, so your remediation starts from evidence rather than assumption.
Governance before the website
Answer engines draw on your full content footprint, from product PDFs to legacy microsites and image libraries. See why conflicting or unmanaged assets cause most wrong and invisible results, and how Content Hub brings the estate under a single governed taxonomy.
Content machines can read
Copy can be accurate and persuasive for a human reader and still be difficult for a model to quote. Understand how structured, schema-validated authoring in SitecoreAI’s core CMS turns prose into discrete, citable facts without sacrificing tone.
Remediation at scale
Page-by-page fixes move slower than the visibility gap itself. Learn how Agentic Studio turns a Scrunch finding into an executable brief and applies it across large content estates, with human approval kept in the workflow.
Proving the fix worked
A five-stage loop that connects detection, governance, structure, execution, and measurement, plus a clear view of why headless architecture is the precondition. Includes the readiness assessment we run to show where your organisation sits today.
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This report is for you if you're a:
- Marketing or digital leader seeing competitors recommended by AI assistants in your category
- Content or brand manager responsible for a large, multi-market content estate
- Technology leader on SitecoreAI, XM Cloud, or a legacy PaaS DXP assessing AI readiness
- Executive building the case for answer engine optimisation as an operating model