I generated FAQPage JSON-LD for our launch page. I did not promise Google a rich result.

When you ship an English launch page, someone inevitably asks for "the FAQ structured data, for SEO." The instinct is to bolt on a FAQPage JSON-LD block and move on. The honest problem is that the JSON-LD is only as good as the FAQ pairs behind it, and most teams either invent questions nobody asks or copy-paste a snippet that contradicts the page.

FaqForge takes your existing docs and forges FAQ pairs plus the matching FAQPage JSON-LD. It is built to stay source-faithful: it works from what you pasted, and it will not invent FAQ pairs your docs do not support. If your source material is thin, the output is thin, and that is the correct behavior rather than a confident hallucination. Because the output feeds a public page, there is a human-review step — you read the pairs before they go live, because the tool does not verify the factual accuracy of what it extracted.

Where AI does belong in this picture

Pulling plausible question-and-answer pairs out of a body of docs is the open-ended case where a model helps: there is no single correct set of FAQs, only a reasonable one for your audience. The constraint that matters here is faithfulness to the source, not creativity, which is why the tool is tuned to stay inside what you provided.

What it deliberately does not do

• It is not a Google rich-result guarantee. Google deprecated the FAQ rich result on 7 May 2026. This tool has never claimed, and does not claim, that adding its JSON-LD will earn you a rich snippet. Anyone selling that promise is mistaken about the current state of search.
• It will not invent content to fill gaps. Source-faithful means thin docs produce thin FAQs. It would rather under-deliver than fabricate a question your page cannot answer.
• It does not verify factual accuracy. Human review is required before publishing. The pairs are extracted, not fact-checked, and you are the last line.
• It is decision-support, not a rankings lever. Structured data helps machines parse your page; it is not a ranking boost on its own.

If you want FAQ pairs and clean JSON-LD that actually match your docs, FaqForge is $9/mo — with the understanding that it helps Google read your page, it does not promise Google will feature it.