How to Review Your Distribution Overview Using Content Hub MCP
Retrieve the company-wide Distribution overview over Content Hub MCP, then read platform coverage, the openings worth publishing into, and how AI engines answer the prompts you are scanning.
Your own site is not the only place AI engines look. They also cite articles on dev.to, Medium, LinkedIn, Hacker Noon, and other platforms. Distribution scans each of your topics against those platforms and shows where an article would earn a ranking or a citation. The overview rolls every scan across all sprints into one view. When Claude Desktop is connected to Infrasity's Content Hub over MCP, you can retrieve it in a few messages.
Before you start, confirm the following:
- Claude Desktop is connected to Content Hub over MCP. See the Content Hub MCP setup guide.
- Distribution is enabled for your account. If it is not, the tool returns "Distribution feature is not enabled for this account."
- Your organization has run Distribution scans on at least one sprint's topics.
Fetch the overview
Request the Distribution overview for the Infrasity organization.
Claude opens with a four-stage funnel across all 14 scans:
- Find the platforms: 7 platforms found.
- Spot the gaps: 5 open gaps across 14 scans. A scan is a gap when at least one platform has no ranking article.
- Publish: 11 recommendations approved or added to a sprint.
- Verify citation: 9 of the 11 published articles are cited.
A platform table follows, sorted by citations. Each row shows how many prompts the platform appears for, the share of recommendations it covers, how many of your articles are cited, a status, and a next step. The three statuses are:
- Covered. A page ranks and is cited by Google AI Overview or the LLM check. The next step is to keep posting.
- Refresh. A page ranks, but no AI engine cites it yet. The next step is to update the article.
- Gap. No article ranks yet. The next step is to publish, which makes it the open opportunity.
For Infrasity, five of the seven platforms are covered. dev.to leads with 31 citations and 4 of your articles cited, followed by medium.com with 3 and LinkedIn with 2. Substack is in refresh. Hacker News (news.ycombinator.com) is the only gap, with no ranking articles yet.
Choose what to publish
The overview lists pending recommendations ranked by opportunity score. Only recommendations with a confirmed gap on the platform are included. For Infrasity, the top five are:
- linkedin.com for "how to choose a developer marketing agency" (score 92)
- dev.to for "how to measure developer marketing ROI" (88)
- hackernoon.com for "developer marketing for AI startups" (81)
- medium.com for "what is a developer marketing agency" (74)
- news.ycombinator.com for "open source marketing agency" (66)
Each one is a keyword where a platform article is likely to earn a ranking, and each can be added to a sprint as a topic.
Drill into one scan
Request what happened in the "developer marketing agency pricing" scan.
The scan carries a verdict of Pursue (winnable) or Skip (no opportunity). Claude also notes that Google shows an AI Overview for the keyword, and that the keyword matches a tracked GEO prompt: "Developer marketing agency pricing and packages" in the Developer Marketing cluster.
For each platform, Claude lists whether an article exists and where it ranks, plus two citation checks: the AI Overview and a separate LLM check. Four platforms (dev.to at #3, medium.com at #5, daily.dev at #7, and LinkedIn at #8) have articles that the LLM check cites. Hacker Noon has an article at #12 that nothing cites yet, so it needs a refresh. Substack and Hacker News are the two open gaps.
See how engines answer the prompt
Request what the engines say for that prompt.
When a scan matches a tracked GEO prompt, the overview adds the latest answer from each engine. Claude reports how many platform articles each engine pulled in and whether any of them were yours. ChatGPT cited three, Perplexity four, Claude two, and Gemini two. Your platform articles were cited by three of the four engines.
Claude also quotes the opening of the most recent answer, with the domains it cited and the brands it recommended, which include Infrasity. Perplexity pulls in the most platform articles, so it is the strongest channel. Gemini is the one engine left, and the score-92 LinkedIn recommendation is the next piece to publish.
Matching a scan to a GEO prompt requires the exact text, ignoring case and trailing punctuation. Many scans will not match, and for those the overview shows the platform breakdown without engine answers.
Review the overview after each sprint's articles go live. The funnel's last stage, verify citation, is the one that confirms a published article is working.
Open app.infrasity.com and retrieve the Distribution overview for your own organization to see which platforms already carry your articles and where the openings are.
