Find the Gap. Write the Answer. Measure What Changed.

Every AI visibility tool tells you where you’re invisible. None of them do anything about it. Content Engine turns a measured citation gap into a publication-ready article, then into companion pieces for nine other platforms — and closes the loop by measuring whether your citation rate actually moved.

The Remediation Layer No Competitor Has

The dashboard is not the fix

Every tool in this category stops at the diagnosis. They show you a dashboard, tell you a competitor owns the answer to a question your customers are asking, and leave the next move to you. The dashboard is the product, and “so what do I do about it” is your problem.

Content Engine starts where they stop. Every piece it writes begins with something measured from your own monitoring data — a topic you’ve never been cited for, a question a competitor owns, a claim an AI platform keeps getting wrong. Not a prompt. Not a keyword you guessed at. A gap you can point to, with the AI’s own words attached to it.

Then it writes the answer, puts it where the models look, and tells you what happened. Not sure which gap to act on first? Ask CiteMetrix Analyst™ — it already knows your data and can talk you through the tradeoffs before you generate anything.

A Scenario You’ve Actually Had

It’s Tuesday. Your Citation Gaps view shows a competitor being cited for a question you should own — the one prospects actually ask before they buy. You’ve been cited on it 12% of the time this month. They’re at 70%.

You click the insight card. The topic fills itself in, along with what the AI platforms actually said, the verified facts CiteMetrix already holds about your brand, and live search research on what people are asking right now.

Ninety seconds later you have a brief, a full article, SEO metadata, schema markup and an image script — written against that specific gap, not a generic outline.

You push it to WordPress as a draft, edit it, publish it. Then you generate companions: a LinkedIn post in your voice, a Reddit draft with the subreddit’s norms flagged, teasers for four more channels, and republication-ready versions for Medium and Substack with the canonical pointing home.

Thirty days later, a card in your dashboard tells you what the citation rate for that topic did.

What It Looks Like

Content Engine lives in your CiteMetrix dashboard under Remediation Tools. A generated package appears as tabs — Brief, Article, SEO Meta, Schema, Image Script, Companions — reviewable before anything leaves the tool. Nothing auto-publishes, ever. CMS connectors create drafts. Companions copy, export, or fire a webhook. You approve everything.

Where the Topics Come From

Gaps you can prove

Topics you’ve never been cited for across any monitored platform, topics cited under 30% of the time, and topics where your rate has dropped ten points or more against the prior month.

Questions a competitor owns

Where a named competitor is being cited and you aren’t — pulled from the same monitoring data, with the platform and the response attached.

Things AI gets wrong about you

Open, unresolved cases where a platform stated something false about your brand. These get handled differently: assert the correct fact, never mention the error. The goal isn’t a public correction. It’s better source material, so the model stops repeating it on its own.

One Article, Nine Places It Needs to Exist

A blog post on your own domain is one source. AI systems weigh corroboration — the same fact, stated on several independently-hosted surfaces, is a far stronger signal than the same fact stated once.

Companions aren’t the same post resized nine ways. Each platform gets its own register, three classes deep.

Republication

Medium and Substack get the article itself, with an adapted title and a canonical pointing home. Not a rewrite competing with your original.

Native posts

LinkedIn and Reddit get original short-form making the same argument in that platform’s voice. Written from five to ten of your own best-performing posts, so it sounds like you and not like a press release.

Teasers

X, Facebook, Threads and Instagram get a hook and a link, sized for the channel.

What Makes It Different

Every piece starts from a measurement

Not a keyword tool, not a content calendar, not a prompt. A specific gap in your own citation data, with the AI’s actual response attached.

Grounded in facts you’ve verified

Your Brand Facts repository feeds every generation, so nothing it writes can contradict what CiteMetrix already knows to be true about you.

Companions written in your voice, per platform

Your LinkedIn register isn’t your website’s register. Paste a handful of posts you’re proud of and the engine learns the difference — editable, and it improves every time you correct it.

The loop closes

Record where you published, and CiteMetrix compares the topic’s citation rate before and after. You find out whether it worked, not just that you shipped something.

No Competitor Does This

Comparison limited to hallucination-specific remediation, which is independently documented across CiteMetrix’s existing competitor comparison pages. None of the six platforms above offer hallucination detection or remediation tools at any tier. A broader comparison covering content generation, multi-platform companion content, and citation-rate measurement is pending further research and will be added once verified.

Common Questions

Do I have to come up with the topic?
No. Content Engine surfaces a ranked list of opportunities pulled from your own monitoring data — gaps, competitor wins, declines, sentiment patterns and hallucinations. Click one and the topic, the context and the AI’s own responses fill themselves in. You can also type a topic freely if you’d rather.

Does it publish to my site automatically?
Never. Every CMS connector creates a draft — WordPress, Shopify, Webflow and HubSpot — and you take it from there. Companions copy to your clipboard, export as Markdown or HTML, or fire a webhook into whatever you already use to schedule.

How does it know how my brand sounds on LinkedIn?
You paste five to ten of your best-performing posts for that channel, once. The engine learns your rhythm, how opinionated you are, how you open and close, and layers it into every companion for that channel. Skip it and you get a clearly-labeled default drawn from your Brand Facts — usable, just not you yet.

Why not just post the same article everywhere?
Because it doesn’t work, and on some platforms it actively hurts. Medium and Substack get proper republication with a canonical link home. LinkedIn and Reddit get genuinely native posts, because a syndicated blog post on Reddit gets buried or removed. The rules are different per platform and the output respects them.

Does this cost extra?
Content Engine is included. Generation uses your own Anthropic and Perplexity API keys, configured per account, so you pay the model providers directly and there’s no markup in between.

How do I know it actually worked?
Record where you published a companion set, and CiteMetrix captures that topic’s citation rate at that moment. Thirty days later it compares. You get a Companion Impact card showing the rate before and after — and a Recovering card any time a topic’s rate climbs ten points or more, whether you prompted it or not.

Find the Gap. Fix It. Prove It.

Content Engine is included on every CiteMetrix plan — from the first citation gap you find to the companion set that closes it.