How can my Ghost publication get cited and mentioned in AI answers?
Build AI visibility through your Ghost publication
A public Ghost publication can become an expert source when it answers specific buyer questions with clear authorship, evidence, and accessible HTML. Start with the prompts where your expertise is missing, publish the stronger source, and measure whether citations change.
Connection method
Ghost Admin API
Publishing support
Draft or live
Editorial control
Review in Ghost Admin
Best fit
Expert publications and newsletters with public archives
The AI visibility loop
Publishing is one controlled step in a measurable system.
- 01
Monitor buyer prompts
- 02
Find the visibility gap
- 03
Create the answer
- 04
Review evidence
- 05
Publish
- 06
Verify crawlability
- 07
Retest prompts
From a real buyer question to a useful source
Example buyer prompt
“What should a finance leader evaluate before switching subscription billing platforms?”
What the monitoring found
AI answers cite broad vendor blogs, but your team has original migration evidence that is not yet published as a focused source.
Turn publication expertise into a source AI can evaluate
The goal is not to fill a newsletter calendar. It is to expose expert knowledge on the public web in a form that answers a measured recommendation or research gap.
What you need
- A Ghost site with Admin access
- A Custom Integration
- The Admin API key, not the Content API key
- A public article archive
Set up the workflow
- 1Create a Custom Integration in Ghost Admin.
- 2Copy the Admin API key in key-id:secret format.
- 3Enter the public site URL and key.
- 4Save the connection and send a test draft.
Publish expertise with clear provenance
A useful Ghost source makes the expert, evidence, and intended decision obvious.
- Clear response and expert position
- Supporting evidence and examples
- Visible author identity and publication context
- Relevant sources, tags, and limitations
- Public HTML beyond the email newsletter
AI-citable article requirements
For this page’s example buyer prompt: “What should a finance leader evaluate before switching subscription billing platforms?”
- Precise target question
- Focused, self-contained response
- Clear brand and product entities
- Audience and use-case context
- Verifiable first-party claims
- Relevant third-party sources
- Alternatives and comparisons
- Limitations and qualification criteria
- Descriptive headings
- Short answer-ready passages
- Useful lists or tables
- Author and update information
- Internal links and metadata
- Optional matching JSON-LD and retest date
Frequently asked questions
Clear answers about setup, publishing, and how this integration works.
Continue with the right workflow
Notion
A Notion Site can be a public, crawlable website or blog. Turn measured AI visibility gaps into structured Notion pages, review the evidence in Notion, publish them to your site, enable search engine discovery, and retest the original buyer prompts.
Create an AI visibility article for NotionClaude
Connect Claude to live visibility data through MCP so it can identify missing brand mentions, compare competitors, inspect cited sources, and turn the best opportunity into an evidence-led content brief. Claude becomes the analysis and orchestration layer, not a generic blog writer.
Connect Claude to live AI visibility dataCustom website
Create a secure HTTPS endpoint that receives an approved article tied to a monitored buyer prompt, stores it in your CMS, and exposes it as server-rendered, indexable HTML. Keep the article ID and publication URL so the same AI prompt can be measured again.
Build the AI visibility publishing endpointMeasure the answer, not the publishing volume
Start with an unanswered buyer question, publish the strongest evidence your team can stand behind, then measure whether AI mentions, position, and citations change.