GEO Scout Command Center: Recommendations and the Publication Plan

Most GEO monitoring services answer the question "what is happening". Charts are useful for the first couple of weeks, then people stop opening them: "15% reach in Alice" does not tell you what to do on Monday. The Command Center answers the second question — what to do, where, and in what order.

What the Command Center Is

A typical picture after the first monitoring runs:

• Answer reach in ChatGPT is 60%, in Alice 15%
• The brand's Share of Voice is 12%, the niche leader has 28%
• AI engines cite the "About us" page but not the services page
• Half of the prompts are answered from the same industry media, and the brand is not in those articles

The data is there, but it is unclear where to start: write an article, fix the services page or pitch an editor. The Command Center collects these signals into an action feed. The most impactful steps are at the top, and every card shows which prompts and providers it affects, which sources stand behind it and roughly how long the work will take.

Where the Command Center sits in the GEO workflow:

Monitoring of 12 AI providers
       ↓
Command Center: what to do and in what order
       ↓
Content Studio: ideas, page plans, articles
       ↓
Publication on your site or an external outlet
       ↓
Marketing campaigns: citations of published URLs
       ↓
Next monitoring run, recommendations are recalculated

Where Recommendations Come From

Recommendations are not generic advice. Each one grows out of an observation on your prompts:

A few selection rules worth knowing:

• A one-off signal does not become a task. An outlet cited once by one provider on one prompt stays in the Citations analytics but does not enter the feed.
• Cited articles are checked. GEO Scout opens the page and looks for the brand and competitors on it. If the brand is already there, there is no recommendation — nothing to pitch. If the brand is absent and competitors are present, the card gets a "Verified gap" label and a list of who is already on the page.
• Encyclopedias and government sites are kept out of the feed. AI engines cite Wikipedia, government, education and standards sites on almost any topic, and "getting in there" is rarely achievable.
• Priority is live. It accounts for how many and which prompts the signal shows up on, how well it is evidenced and what visibility gain is expected. A competitor publishes new material — priority goes up; the gap narrows — it goes down.

If an uncited page starts being cited or drops out of answers, its card closes on its own. A dismissed recommendation can come back marked "Suggested before — the signal grew" if the signal has strengthened noticeably since.

The Three Command Center Tabs

At the top of the section are three tabs with counters: "Site changes", "External publications", "Publication plan". On the right are a "Pending / Done" switch and a task-type filter.

Card elements are the same on every tab:

• Badge and effort: "Quick win", "High impact", "Easy fix" or "Worth noting", plus a "Quick / Medium / Deep" estimate in minutes.
• Evidence: affected prompts with brand coverage in percent, provider icons, citation examples — real URLs AI engines already link to. The "Why we recommend this" block shows how many monitoring signals back the recommendation.
• Actions: "Done", "Snooze" (3 days, 1 week, 2 weeks), "Dismiss" with a reason ("Already done", "Not applicable", "Too complex"), and "Report an issue" if a recommendation is wrong.

By default the feed shows the highest-priority cards; the low-priority tail is behind "Show all".

"Site changes"

Everything done on your own domain. Cards are grouped, and the filter offers "Pillar pages", "Crawlability", "Schema", "Content", "Technical".

"Improve the page". A page of your site appeared in AI answers but was not cited: the engine knows it but did not find it relevant enough. The card states how many times this happened and which providers saw the page, followed by the "Prompts where this page wasn't cited" list with a counter of covered ones. The "Optimize" button opens Content Studio with the page and target prompts filled in. The agent reads the page and returns a strategy and a list of edits prioritized as Critical, High or Medium: where to insert, what is there now and what it should become. This is the cheapest growth available — the engine is already interested in the page.

"Pages that work for competitors". "Create a page: …" cards — covered in detail in a separate section below.

"Pillar pages". When a signal calls for your own page covering a whole prompt cluster, the recommendation arrives in this group: a pillar page plus sub-articles for target prompts.

Technical cards. Pages missing the right JSON-LD types — the "Generate schema" button produces a ready block with brand data. AI bots blocked in robots.txt, or no file at all — "Generate robots.txt". No /llms.txt — the generator builds one from the site navigation. A missing sitemap.xml is flagged separately. These are the fastest tasks, and they come first: if GPTBot or ClaudeBot is blocked, the engine simply cannot read the page, however good it is.

"External publications"

Where the brand needs to appear beyond its own site. For commercial prompts AI engines lean on editorial outlets, communities, directories and review sites more than on brand sites, so this tab usually delivers growth fastest.

Recommendations are grouped by outlet type — "Publications", "Directories", "Reviews". The group header shows how many sources it contains, how many prompts they surface on, how many citations they produced and with which providers. Within a group, outlets are ordered by the number of affected prompts.

One outlet — one card. The header holds the domain, the type ("Editorial placement", "Community thread", "Directory listing", "Reviews"), the number of prompts, citations and articles, and provider icons. Inside are the specific materials on the outlet that AI engines already cite for your prompts, each with its own "What to do", "Why it matters", affected prompts and citation examples.

The "Generate ideas" button launches an agent: it studies the outlet's format, gathers brand facts from the knowledge base and proposes several publication topics, each with an article outline and citable claims. It usually takes 1–2 minutes. Ideas are saved in Content Studio, and any of them can be turned into an article right away with "Write article".

Directories and review sites have no generation — the task there is simpler: check that the brand has a listing and that its details are current. Each outlet type is its own work channel: editorial outlets go to PR, directories to marketing, communities to a community manager, reviews to support.

"Publication plan"

The most important tab. It takes the same external-outlet recommendations and lines them up by impact on visibility.

The plan's unit is a prompt × AI-provider combination. The same topic draws on different sources in ChatGPT and in Alice, so coverage is counted per pair rather than per prompt. Step 1 is the publication that closes the most such combinations where the brand is still missing. Step 2 adds the most on top of the first, and so on. Outlets that influence different providers do not displace each other.

What the tab shows:

• A one-line header: how many publications close how many unique prompts out of those monitored, across how many AI providers. Next to it is a coverage bar where each step's contribution is a separate segment.
• A step as a task: "Get a mention or publish your own content similar to: …" followed by the outlet material AI engines already cite. Under the step: how many new prompts it adds and how many combinations are covered cumulatively — "After this step X of Y … are covered".
• Verified pages. Articles where the brand is already confirmed do not enter the plan. The "Verified gap" label means the page was read, the brand is absent and competitors are present — their names are shown next to it. With equal coverage gain, a verified gap ranks above an unverified one.
• Alternatives. If other outlets cover the same prompts, they are paged through as a carousel: "Alternative 2 of 6 — in case the primary outlet is unavailable". If one editor says no, you take a replacement without losing the step's coverage.
• A short plan by default. Only the first steps are shown, those carrying most of the coverage; beyond them each publication returns noticeably less. The rest is behind "Show all".
• Recommendations without prompt attribution sit separately in the "No prompt evidence" block — they cannot be ranked by gain, but there is no reason to throw them away.

Directories are not part of the plan: filling in a directory listing is not a publication and should not take a slot from articles. A completed step moves to "Done" and counts its combinations as covered, so the plan gets shorter after every publication rather than just shifting.

Go strictly top-down and do not try to close the whole list. The plan is already sorted by visibility gain, not by how prestigious an outlet is.

"Pages That Work for Competitors"

This group on the "Site changes" tab answers a common question: why do AI engines link to a competitor's site and not yours? Usually the answer is simple — the competitor has a page for the prompt, and you do not.

How these pages are found:

1. GEO Scout builds an inventory of your site — the full sitemap (refreshed weekly), or, if there is none, your URLs from citations and links from the homepage.
2. It takes competitor pages that AI engines cited for your prompts over the last 30 days, excluding service pages.
3. A judge model decides for each page: you already have a similar page, it is worth creating, or there is nothing to replicate.
4. Gaps become cards listing the prompts your page would affect. Recalculation runs once a day per brand.

The card is titled "Create a page: …", and its description says which competitor's page is working, on how many of your prompts AI cites it, and that your site has no similar page. For example, for a steel supplier: a competitor published a reference guide on profile pipe types and sizes, AI engines cite it, while the brand only has category landing pages. The card has three blocks:

• "Working for competitors" — competitor pages with their citation counts.
• "Closest on your site" — your pages nearest to the topic.
• "Prompts this page will affect" — prompts with the share of answers mentioning the brand, or a "brand absent" mark.

The "Generate page" button launches an agent: it studies the competitor's page, gathers facts about your brand and prepares a plan for your own page — structure, key points and citable facts for the same prompts. It takes 1–2 minutes and then opens via "Open page plan"; the text can be generated from the finished plan.

A practical tip: look at "Closest on your site". If there is a page on almost the same topic, it is sometimes wiser to expand it than to create a new URL. There is no need to copy the competitor's page — you need a page that answers the same prompts with your facts.

A similar tool lives in the Citations section: every cited page has a "Generate ideas" button. For a competitor page, it proposes materials for your own site on the same prompts.

Working With the Command Center Week by Week

You do not need to clear the Command Center. A workable rhythm is 2–3 tasks a week from the top of the feed. The first month can look like this.

Week 1: barriers and the first plan step.

1. Close the technical cards: AI-bot access, robots.txt, llms.txt, Schema on key pages. These are "Quick" and "Easy fix".
2. Fill in the knowledge base in Content Studio: facts, figures, pricing, differences from competitors. Ideas and articles take their facts from there — the fuller it is, the less the model has to guess.
3. Open the "Publication plan", take steps 1–2, click "Generate ideas" and pick a topic for the editor.

Week 2: your own site. 4. Take the "Improve the page" card with the most uncited prompts and apply the edits from Content Studio. 5. Pick one card from "Pages that work for competitors" and prepare a page plan.

Week 3: publications and check-offs. 6. Add published materials to "Marketing campaigns" to see their citations in the next runs. Mark the cards "Done". 7. Go through directories and review sites on the "External publications" tab: the brand listing exists and its details are current.

Week 4 and beyond: review. 8. Check how reach by provider and presence-quality levels in "Brand perception" have changed. Allow for the lag: on average 2–3 weeks pass before new material starts getting cited. 9. Return to the "Publication plan" — it has already been recalculated with the completed steps.

Snooze or dismiss with a reason whatever is not relevant right now, and flag a wrong recommendation via "Report an issue" — that keeps the feed usable instead of turning it into a dump.

Access and Pricing

The Command Center is free for every brand after onboarding, including the free plan. The first recommendations appear after the first monitoring run.

Credits are spent only on generation:

The cost and the remaining balance are shown in the confirmation dialog before launch. Credits come with paid plans — from $24/mo, details on the pricing page. Plans differ in volume — the number of prompts and credits — not in features. The "Improve the page" and "Pages that work for competitors" cards are recalculated on the scheduled monitoring runs of a paid plan.

Recommendations and the Publication plan are not limited to the interface. In Agent mode (the "Dashboard / Agent" switch) you can ask "where do I start?" and the agent answers from Command Center data. The MCP server exposes the same data to external AI clients.

More on each tab in the guides Improving visibility via external publications and Improving visibility on your own domain.