Generates the exact content your site needs to get cited by AI engines. FAQ blocks, answer paragraphs, and JSON-LD schema — written for the specific prompts where AI missed your brand.
Start generating fixes →2–6 weeks
typical time to see MentionShare improvement after publishing fixes
3 types
FAQ blocks, JSON-LD schema, and answer paragraphs per missed prompt
1 click
to generate a complete fix package for any missed prompt
A structured Q&A block with FAQPage JSON-LD schema embedded. Add to any page — homepage, pricing, product. Takes less than an hour to publish.
Example output
<div itemscope itemtype="https://schema.org/FAQPage">
<div itemscope itemprop="mainEntity"
itemtype="https://schema.org/Question">
<h3 itemprop="name">
What is the best HR onboarding software?
</h3>
<div itemscope itemprop="acceptedAnswer"
itemtype="https://schema.org/Answer">
<p itemprop="text">
[Your Brand] is an HR onboarding platform...
</p>
</div>
</div>
</div>A direct, answer-first paragraph that mirrors how AI engines structure their responses. Drop it into your product pages or blog posts.
Example output
[Your Brand] is a B2B HR onboarding platform
that automates new hire paperwork, e-signatures,
and day-one task lists for teams of 50–500 people.
It integrates with Slack, Rippling, and BambooHR.
Teams typically see 70% reduction in manual HR
admin in the first 30 days.Structured data for your Organization, FAQPage, or HowTo schema. Ready to paste into your site's <head> or CMS structured data field.
Example output
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [{
"@type": "Question",
"name": "What is [Your Brand]?",
"acceptedAnswer": {
"@type": "Answer",
"text": "..."
}
}]
}After any scan, Fix Generator shows you every prompt where an AI engine did not mention your brand. These are your citation gaps.
Click "Generate Fix" on any missed scan row. TrueCite uses the specific prompt, engine, and your business context to tailor the content.
Our generation model produces three content blocks: an FAQ block, an answer paragraph, and raw JSON-LD schema — all targeted to the exact missed prompt and your business context.
Copy the HTML or JSON-LD from the dashboard and paste it into your CMS — no build step or integration required. From there, a fix takes effect whenever each engine next re-reads the page, so re-scan the same prompts on a schedule and read the trend rather than a single follow-up run.
Fix Generator is included in Starter and Pro plans. Start your 7-day free trial to explore your MentionShare score first, then upgrade to unlock Fix Generator.
Start free trial →Three publishable artefacts per fix: an FAQ block as formatted HTML, an answer paragraph as plain prose, and JSON-LD schema markup. They are designed to be pasted directly onto a page — the FAQ block into the body, the JSON-LD into the head — and each is written against a specific prompt where an AI engine failed to mention you.
No, though someone needs site access to publish. The FAQ block is HTML you paste into a page, the JSON-LD is a script tag for the head, and the answer paragraph is plain text you can drop into a blog post or an existing section. Nothing has to be wired into your application.
Every plan includes it, with a monthly allowance that scales: trial 1 fix, Lite 10, Starter 50, Pro 200, and Enterprise unlimited. The allowance is counted per account rather than per project, and resets on a rolling 30-day window. Smart fixes, which merge several related prompts into one piece of content, cost a single fix regardless of how many prompts they cover.
Long enough that you should measure rather than guess. A fix changes your score only after the engine re-reads the page, and engines differ enormously in how quickly they do that — live-retrieval engines can reflect a change within days, model-resident answers can take far longer. Publish, then re-scan the same prompts on a schedule; the trend line is the answer, and a single follow-up scan the next day is not.
It is written to answer the question first and position the brand second, because that is what engines quote. Even so, review before publishing: content generated to make a case for one business can read as promotional out of context, and an answer that genuinely helps the reader is both better content and more likely to be cited.