Documentation
Improving visibility on your own domain
How the GEO Scout command center turns monitoring signals into concrete actions on your site: schema markup, content, and pillar pages with ready-to-use artifacts
Open in dashboardThe command center — the core of visibility management
The command center (the Actions section) is the core of GEO Scout. It collects concrete recommendations generated by AI from your monitoring data and splits them into two streams: changes on your site and external publications. Each recommendation isn't generic advice — it's an action with a clear goal, an impact estimate, and ready-made artifacts to execute it.
- Five status counters at the top: "Pending" (ready to work on), "Quick win" (low effort, high impact), "High impact" (large visibility gains), "Done", and "Hidden". Click to filter the list — close quick wins in a day, or pick one high-impact task for the week
- Two tabs split the work: "Site changes" (schema, content, tech base, pillar pages) and "External publications" (catalogs, media, reviews, authoritative citations). The counter next to each tab shows how many actions have piled up on that surface
- A working filter under each tab narrows by action type: schemas, pillar pages, content, technical fixes. Useful when different tasks go to different teams — SEO, content, engineering
- Recommendations are grouped by topic with a complexity estimate — e.g. "Pillar pages: 6 actions / Medium". An expanded group shows every action with details: what to do, why it will affect visibility, and which artifacts GEO Scout has already prepared
- Every action is a consequence of observations, not advice in a vacuum: how often the prompt was seen, in how many responses the brand appeared, who outpaced it. This data explains the "why" and lets you estimate impact before starting work
The command center isn't a one-off checklist — it's a continuously refreshed stream. Each day monitoring brings new signals, and AI turns them into new actions. Your job isn't to close everything; it's to choose what matters this sprint: three quick wins or one big task for the team.
Site markup: Schema and JSON-LD in one click
The first layer of work on your own domain is structured markup. The command center delivers ready Schema actions with concrete URLs and types, and missing JSON-LD is generated automatically — no hand-writing markup.
- Concrete URLs and types. The action points to a page (for example, kwork.ru/faq), the detected markup type (Organization, FAQPage), and the missing fields. Next to it — a "Show" button with a ready JSON-LD block
- JSON-LD auto-generation. If Organization is missing description, foundingDate, or contactPoint, GEO Scout fills them in via the "Generate Schema" button (1 credit). The result is a ready block you can paste straight into <head>
- Schema actions live on the "Site changes" surface → "Schemas" filter. Review the full backlog as one list and hand it off to a developer in a single pass — no fishing schema tasks out of the general feed
- After pasting, mark the action "Done" — it moves to the "Done" counter, and the next monitoring cycle checks that the markup actually shipped and started working for domain citations
Start with Organization and FAQPage — they deliver the biggest lift in domain citations for the smallest effort. Then layer on BreadcrumbList, Article, and Product for the page types that show up most in your prompts.
Edits to existing pages: from mention to citation
The second layer is content edits. The command center finds pages that already showed up in AI responses but aren't yet cited, and ties each action to specific monitoring data — not generic advice. The "Optimize" button kicks off an AI rewrite: the output is a ready article tuned for AI citation, an FAQ block, and JSON-LD markup as one package.
- Each action points to a specific page with specific signals. Example: "Improve blog.kwork.ru/…" — the page appeared in AI responses 2 times but wasn't cited. The card lists the providers where it was seen
- The "why" is explained. If a page is on AI's radar but isn't cited, AI knows it exists but doesn't yet treat it as authoritative enough. Improving structure, headings, and semantics is the fastest way to convert earned visibility into citations
- The "Optimize" button runs the AI rewrite in "GEO → Page optimization". GEO Scout passes the URL and monitoring context: which prompts to close, which competitors AI cites on them, which formats work. The output is a change package tuned to the very prompts where the page has a citation gap
- What's in the package: a reworked Markdown article focused on structure and facts AI willingly cites; a ready FAQ block for FAQPage microdata; JSON-LD schemas (Article, BreadcrumbList, FAQPage) for the head section; "Where to place / What to do / What to verify" instructions. Pull it all in one click via "Copy package" and hand it to the developer
- Validation on the next monitoring cycle: after the package ships, GEO Scout checks AI responses to see whether citations on the target prompts grew. If AI starts referencing the page, the edits worked; if not, it's the signal for the next round
Quick wins on existing pages are stronger than they look: you're working with content AI has already singled out and lifting it to cited status — without creating new pages. The AI package takes the routine off the team: AI-format rewriting, FAQ assembly, markup composition. All that's left is to decide whether to ship the change and verify the rollout.
Pillar pages and the automatic content plan
The strategic layer — pillar pages. GEO Scout finds a topic cluster where the brand barely shows up in AI answers, suggests closing the gap with a pillar page, and immediately assembles a content plan: the pillar plus child articles for each losing prompt. The output is a ready article with internal linking and exports in any format.
- Example action: "Create a pillar page — Specialized website development". Monitoring data: the topic shows up in 3 prompts, the brand appears in 0% of responses. The action proposes closing the gap — building an authoritative source on your own site
- Prompts for the content plan are pulled automatically from the very prompts where the brand is losing: "order a turnkey e-commerce site", "who to commission a high-load portal from", "a Bitrix-based web development agency". Each prompt becomes a child page with a tight focus
- The "Generate content plan" button assembles the hierarchy: one pillar hub and several child articles. The hub covers the topic broadly and becomes the central interlinking anchor; child pages drill into each specific query and link back to the hub
- The plan shows progress ("0 of 1 done"), each child page's priority (High / Medium / Low), the material type (Guide), and the brand's current coverage for the prompt. Each page is generated separately — handy for week-by-week scheduling
- The finished child article comes with an internal-linking block ("To pillar", "Insert a link at the start of the article"), JSON-LD schemas, and export buttons — "Copy article" as Markdown or HTML, "Download", "Copy schemas". Content and markup go straight to the editor and developer
Pillar pages are a long-term investment, not a quick win. One page closes not a single prompt but a whole cluster of related queries and keeps working for months. Focus on clusters where the brand is weakest (0–5% coverage): that's where the impact is highest.