How can I improve my WordPress.com site’s visibility in AI answers?
Publish AI-citable content to your WordPress.com site
WordPress.com can help write text, but visibility starts with knowing what buyers ask and where your brand is missing. Use those measured gaps to create structured evidence, publish it publicly, and retest the same AI questions.
Connection method
WordPress.com application password
Publishing support
Draft or live
Editorial control
Review in WordPress.com
Best fit
Hosted WordPress.com sites
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 is the best payroll software for a distributed European startup?”
What the monitoring found
Your site explains features but never answers the location, team-size, and compliance decision AI assistants are making.
Built-in writing is not visibility research
The workflow begins outside the editor: monitor recommendations, find the missing answer, and only then create the article WordPress.com should host.
What you need
- A WordPress.com account with site access
- A dedicated application password
- A public site that search crawlers can access
- A monitored buyer prompt
Set up the workflow
- 1Create a dedicated application password in WordPress.com security settings.
- 2Enter the WordPress.com username and application password.
- 3Save the connection and send a test draft.
- 4Review the article and revoke the credential whenever access is no longer needed.
From AI recommendation gap to hosted article
Each draft explains the buyer decision that the existing site does not yet answer.
- Clear response and qualification criteria
- Clear brand and product entity language
- Evidence, sources, and honest limitations
- Title, body, slug, and metadata
- Follow-up questions AI users are likely to ask
AI-citable article requirements
For this page’s example buyer prompt: “What is the best payroll software for a distributed European startup?”
- 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
WordPress
Publishing more WordPress articles is not enough. Start with the buyer questions where your brand is absent, learn which competitors and sources AI systems currently trust, then publish an AI-citable, structured answer and rerun the same prompts after it is indexed.
Turn a visibility gap into a WordPress draftNotion
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 dataMeasure 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.