Bolt an AEO-ready FAQ onto a page you already have.
It mines the questions people really ask about your topic, then returns the FAQ section with valid FAQPage schema attached.
5 steps · runs on demand · added to your workspace as a draft
What it does
Pre-built, then yours to customize.
Add it to your workspace in one click. Sensible defaults and example inputs are already filled in.
Reads from · writes to
- Any public URL
- Schema.org FAQPage
The template, step for step
- Trigger
- Web scrape
- Perplexity research
- LLM call
- Human review
Added to your workspace as a Draft, with example inputs filled in. Every step is yours to change.
- 01
Questions people actually ask, mined not invented
- 02
Answers written to be extractable, not padded
- 03
Valid FAQPage JSON-LD that mirrors the visible questions
- 04
Works on any page you have already published
In, and out
You give it a page you've already published. This is what comes back.
- Shape
- 5 steps
- On demand
- run mode
- 1
- click to add
How do AI engines choose which brands to name?–
Does schema markup help with AI citations?+
How long before a new page gets cited?+
Do I need to change my existing SEO content?+
Illustrative output.
Questions, mined
They already asked. Now the page answers.
The questions come from what people ask, not from a brainstorm.
01 · A page you published months ago. No FAQ on it.
02 · The questions people actually ask about it, as they're found.
03 · Duplicates and the off-topic ones fall away.
04 · Four dock under the article, answered to be lifted.
05 · The markup mirrors them, question for question.
example.com/blog/ai-visibility-guide · already published
Frequently asked
- Does schema help with AI citations?+
- How long until a new page gets cited?+
- How do engines choose who to name?+
- Do I need to rewrite old content?+
FAQPage · JSON-LD✓ mirrors the page
The steps
What happens on every run.
- 01
Fetch the live article
Reads the published page as it stands, so the FAQ fits the content that is actually there.
- 02
Mine the real questions
The questions people ask about this topic, not invented ones.
- 03
Write extractable answers
Short, self-contained answers in the shape answer engines lift.
- 04
Build the FAQPage schema
Valid FAQPage JSON-LD whose questions mirror the visible ones exactly.
- 05
Save the paste-ready block
The section and the schema, ready to drop into the page.
Before & after
The time this gives back.
The templates that publish put a Human review step before the CMS step, and nothing ever posts to Reddit for you. Review is a step, not a lock: a workflow you build or edit can publish or message a channel without one, so add it wherever you want the sign-off.
Doing it by hand~2.75 hrs
Add FAQ to an article~10 min
Bars to scale: the time a person spends, each way.
Doing it by handyour team
- Guessing at the questions~45m
- Writing the answers~1h
- Hand-writing the JSON-LD~40m
- Validating the schema~20m
Per page, by hand~2.75 hrs
Add FAQ to an articleLive
- Agent reads the pageauto
- Agent mines and writesauto
- Agent builds valid schemaauto
- You paste and publish~10m
One agent run~10 min
FAQ
Questions, answered.
Answer engines quote short, self-contained passages. A question-and-answer block gives them exactly that shape, and FAQPage schema tells them which text answers which question.
Yes, and that matters — schema whose questions do not appear on the page is a structured-data violation. The agent generates both from the same source.
Yes. It reads the live page first, so it can extend an existing FAQ instead of duplicating questions you already answer.
Free to start
Add this agentto your workspace.
Start free. Customize the steps, run it on demand or on a schedule, and approve anything that ships.