HubSpot Identifies Content Gaps For AI Visibility
HubSpot Marketing Blog explains how to find content gaps for AI visibility, which differs from traditional SEO gaps. This matters because AI search engines may not cite a brand's content even if it's relevant.
Original reporting · blog.hubspot.com
Original: “How to identify content gaps for AI visibility”
Read “How to identify content gaps for AI visibility” at HubSpot Marketing Blog →
How this was written. Content Delta wrote this article with a language model from HubSpot Marketing Blog’s reporting (model: @cf/meta/llama-3.3-70b-instruct-fp8-fast); it describes that reporting rather than adding to it. The original, linked above, is the full story.
Key points from HubSpot Marketing Blog’s report
- HubSpot Marketing Blog provides guidance on identifying content gaps for AI visibility.
- AI visibility content gaps differ from traditional SEO gaps.
- There are three types of AI visibility gaps: coverage, extractability, and citation-support gaps.
According to HubSpot Marketing Blog, the way people discover brands is changing due to AI and SEO trends. As a result, finding content gaps is no longer just about identifying missing articles.
A brand may have a relevant page, but AI search engines are not citing it, or an AI assistant may mention the brand while using another website for supporting information. This means creating more content without understanding what's missing may not solve the problem.
The concept of an AI visibility content gap is different from traditional SEO gaps. It refers to a situation where a brand is absent from AI-generated answers or lacks supporting citations.
There are three types of AI visibility gaps: coverage gaps, extractability gaps, and citation-support gaps. Each type requires a different approach to address the issue.
Coverage gaps occur when a brand lacks a page that adequately answers a relevant question. Extractability gaps happen when a relevant page exists, but its useful information is difficult to locate or interpret.
Citation-support gaps arise when a brand appears in an answer, but another source provides the evidence used to support the response. Understanding these differences is crucial for identifying content opportunities.
Marketers need to analyze AI and search results to understand what to fix. This involves reviewing the answers AI platforms currently produce, rather than assuming which articles a company should publish.
Questions and answers
What is an AI visibility content gap?
An AI visibility content gap refers to a situation where a brand is absent from AI-generated answers or lacks supporting citations.
How do coverage gaps differ from extractability gaps?
Coverage gaps occur when a brand lacks a page that adequately answers a relevant question, while extractability gaps happen when a relevant page exists, but its useful information is difficult to locate or interpret.
Why is it important to understand AI mentions and citations?
Understanding AI mentions and citations helps marketers identify content opportunities and prioritize gaps by business relevance and the work required to address them.
