AI visibility up 800% in a priority category: Hone’s focused blog initiative

Published Updated 4 min read
AI visibility up 800% in a priority category: Hone’s focused blog initiative

Hone reported 800% growth in priority-category AI visibility and citation share rising from nearly zero to 7%. The case describes a targeted blog initiative focused on one category.

Your website may describe the company well while AI comparisons omit the specific service you want to grow. One approach is to investigate a single product category rather than the whole business.

Hone, a training and coaching platform, reportedly increased visibility in a priority category by 800% after targeted blog work. Profound’s case study

The useful AI search optimization lesson concerns where to focus first.

What Hone’s 800% visibility increase and roughly 7% citation share mean

The 800% increase concerns visibility in Hone’s priority category. Citation share in that category reportedly rose from nearly zero to about 7%. Profound’s case study

Treat priority-category visibility and citation share as separate measures.

Illustration: Treat priority-category visibility and citation share as separate measures.

An 800% increase should not be rewritten as “eight times.” Nor should “nearly zero” be treated as an exact zero for calculating a multiplier. This article retains the reported percentage change.

The period is described as a few months, without complete denominators or measurement rules. These are vendor-reported changes in AI answers, not sales or enrollment figures.

A targeted blog initiative for a growth category

Hone pursued a targeted blog initiative around a product category important to growth, combining new content with existing-content improvements. Profound’s case study

Combine new content and improvements to existing pages within one focused category.

Illustration: Combine new content and improvements to existing pages within one focused category.

The source does not establish the category’s exact name or a complete list of articles. Specific claims about how many leadership-training posts were written would be unsupported.

For your own business, check whether content answers the questions buyers ask within a particular category, beyond general company information.

Using cited content to inform new and existing articles

Hone examined citations supporting AI answers and used those insights in content creation and improvement. Profound’s case study

When reading cited pages, identify the questions they answer rather than copying their headings. Relevant dimensions might include audience, delivery format, pricing conditions, and how outcomes are assessed.

As an editorial recommendation, improve existing answers when they already exist. Consider a new page when a distinct question has no adequate answer.

Choose one product-category theme for concentrated work

Choose a focus from both the service you want to sell and the uncertainties buyers need to resolve.

A fictional training provider selects a theme where a product priority meets real buyer questions.

Illustration: A fictional training provider selects a theme where a product priority meets real buyer questions.

The following fictional corporate-training example does not identify Hone’s actual target category.

Candidate theme Buyer uncertainty Answer to prepare
New-manager training Can it fit around work? Time commitment, format, and missed-session policy
Team training Does it fit our department’s problem? Target problems, preparation, and unsuitable conditions
Individual coaching How is the coach selected? Selection, changes, and scope

Choose one theme and collect real sales questions. Separate publicly answerable questions, those needing internal verification, and requests for capabilities you do not provide.

Begin where you can explain an existing strength accurately rather than promising new services for the sake of AI visibility.

Track category-level citations and visits separately

Track questions and URLs within the selected theme. Overall company traffic can obscure which content changed.

Record questions, page URLs, and changes while tracking citations and visits separately.

Illustration: Record questions, page URLs, and changes while tracking citations and visits separately.

  1. Select questions and AI services, and retain baseline answers.
  2. Record the edit date and explanation added.
  3. Recheck answers and citations using the same questions.
  4. Count visits and inquiries to those articles separately.

Even if citations increase, read whether the answer preserves the conditions buyers need. A mention is not necessarily an appropriate recommendation.

Choose one priority category and complete its customer answers before expanding the topic list.

FAQ

Q. Is the 800% increase a sales result?
No. It concerns AI visibility within a priority category.
Q. How should we select a category?
Match a growth priority with real pre-purchase questions for which you can provide verified answers.

Sources

  1. [1] Profound’s case study — accessed 2026-09-26

About the author

Shogo Mizushima

CEO of kairos Inc. / AgentSignal Developer

Develops AgentSignal, a tool for measuring AI crawler visits and AI-referred traffic, and diagnosing AIO readiness. Writes about measurement and practical improvements for AI search using observed data.

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