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Content

Plan, create and optimize content that AI cites.
By Hello Airankia
• 18 articles

Command Center

Command Center is the home of the Content section — one screen that tells you exactly what needs attention across your entire content engine, and lets you jump straight to the fix. A real result Once your content engine is running, Command Center shows your live pipeline stage-by-stage, your integrations, Autopilot status, and a queue of what's publishing next — plus real organic performance pulled straight from Search Console and GA4. AI Rankia — Content Command Center showing Autopilot status, upcoming articles, organic clicks and Growth Score What you'll see - Integrations — how many of your 7 possible sources (Search Console, Analytics 4, Merchant Center, Bing Webmaster, Cloudflare, Google Sheets, WordPress) are connected. - Autopilot status — whether it's on, how often it writes, and how many languages it covers. - Results — organic, last 30 days — clicks, impressions, average position, CTR, sessions and conversions, pulled from your connected accounts. - To fix — a live count of issues across Plan, Content, Distribution and Signals, so you know where the fires are. - Your content engine — the six-stage pipeline (Topical map → Keyword research → Match gaps to map → Generate articles → Review drafts → Publish), each card showing exactly how many items are waiting at that stage. - Growth Score — a single number summarizing your content and visibility health. How to use it 1. Open Content ▸ Command Center for your brand. 2. Check Integrations first — connect anything showing as not connected so your data is complete. 3. Review the six-stage pipeline and click into whichever stage has the most items waiting. 4. Use the "To fix" counts to prioritize: high-severity issues first. 5. Turn on Autopilot once you're happy with your topical map, so new articles keep publishing on schedule. Tip: Think of Content as a flow: discover topics, create the content, act on it, then measure. Command Center ties every stage together in one place — start here whenever you're not sure what to do next.

Last updated on Jul 09, 2026

Topical Map

Topical Map builds a map of the topics you should cover to become an authority in your niche — the clusters AI engines expect a credible source to own. A real result A live topical map shows every topic as a pillar-and-cluster hierarchy, each row scored by search volume, word count target and article status — plus live cannibalization warnings. AI Rankia — Content Topical Map showing 181 topics organized as pillar and cluster rows with volume and status What you'll see - Topics count & phase label — how many topics are mapped, and whether you're in an early "SEED phase" (long-tail first) or scaling up. - Pillar / Cluster / Supporting rows — the hierarchy: one pillar page, several cluster pages under it, and supporting articles under each cluster. - Volume, Words, Article status — per-topic search demand, target length, and whether it's written yet. - Cannibalization warnings — high- and medium-risk overlaps where two topics compete for the same keyword. - EN·US / ES·ES language split — coverage broken out per language you publish in. - Reconcile, Translate, Scan volumes, Generate — tools to keep the map accurate and turn any row directly into a new article. How to use it 1. Open Content ▸ Topical Map. 2. Generate a map from your brand or a seed topic if you're starting fresh. 3. Review the pillar/cluster structure and check the cannibalization warning banner first — those cost you rankings today. 4. Filter by Covered / Partial / Consolidate / New to see exactly what's missing. 5. Select any row and click Generate to send it straight into Content ▸ Articles. Tip: Full topical coverage is what earns AI's trust. Use the map to plan a complete program, not one-off posts — and revisit AI Visibility ▸ Semantic Map to see which of your gaps AI has already noticed.

Last updated on Jul 09, 2026

Articles

Articles is the AI-assisted workspace where you draft, edit and refine content designed to be cited in AI answers — from a queue of ready-to-write ideas through to a full editor. A real result Your pipeline gives you a running count of every article by stage — total, in progress, awaiting review, ready to publish, published and failed — with a filterable list underneath. AI Rankia — Content Articles pipeline showing 119 total articles across review, running, ready and published stages What you'll see - Total / In Progress / Awaiting Review / Ready / Published / Failed — the full state of your content pipeline at a glance. - Article cards — title, target keyword, type (Pillar / Cluster / Supporting / Blog), language, status and word count, plus which site it's tied to. - Content Pipeline panel — select any article to see its details, or start a new one. - Review Queue — a shortlist of the next articles waiting for you to generate or approve. The editor, once you open an article - Focus / Preview / Editor / HTML — different ways to read or edit the same draft. - Draft / QA / Outline / Semantic Score / Entity SEO / Pipeline / Keywords / Internal Links — tabs covering everything from a quality check to how well the draft covers its target entities. - A Semantic Score with a plain-English label (e.g. "Weak · Far from top") so you know at a glance whether a draft is ready or needs another pass. How to use it 1. Open Content ▸ Articles. 2. Click New to start from a topic, or approve one already queued in Review. 3. Work through the pipeline stages — Draft → QA → ready to publish. 4. Use the Semantic Score tab to check a draft's strength before publishing. 5. Publish via WP or mark as published once it's live. Tip: Feed articles from your Topical Map and Fan-out Gaps so everything you publish targets a real, measured gap instead of a guess.

Last updated on Jul 09, 2026