FAQs written against the answer you are losing.
It reads how the engines answer your prompt today, then writes the FAQ entries built to take that answer.
4 steps · runs on demand · added to your workspace as a draft
Grounded in real engine answers, not assumptions
Names the source currently cited instead of you
Written to beat that specific answer
Ships with FAQPage schema
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
- Your Mentionova workspace
- Schema.org FAQPage
The template, step for step
- Trigger
- Citation intel
- LLM call
- Notify
Added to your workspace as a Draft, with example inputs filled in. Every step is yours to change.
In, and out
You give it a prompt you're losing. This is what comes back.
- Shape
- 4 steps
- On demand
- run mode
- 1
- click to add
Cited today instead of you rival-a.com/guide
What is the most accurate way to track AI mentions?–
Which engines should a B2B brand track first?+
How is an AI citation different from a backlink?+
Illustrative output.
Against the live answer
Here's the answer you lost. Here's what takes it.
Each FAQ entry is aimed at a specific claim in the answer an engine gives today.
01 · What Perplexity says today. It cites a rival for it.
02 · The answer stands on three claims.
03 · Each claim gets an FAQ entry written to beat it.
04 · Not “FAQs about the topic”. FAQs aimed at this answer.
Perplexity · “how do I track AI mentions?”today
In practice, most teams check AI mentions by hand, once a month1, and no tool covers more than two engines reliably2, and citations can't be tied back to a specific page3.
cited: rival-a.com/guidenot you
Your FAQ · written against it+ FAQPage schema
AIMED AT CLAIM 1
How often should AI mentions be checked?
AIMED AT CLAIM 2
Which engines can be tracked, and how many at once?
AIMED AT CLAIM 3
Can an AI citation be traced to the page that earned it?
The steps
What happens on every run.
- read_citation_intel
- analyze_current_answer
- write_targeted_faqs
- save_block
4 steps · Runs on demand0 / 4
Run history keeps each step's output and runtime, and the input of every step that completed.
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
AEO FAQ generator from citations~15 min
Bars to scale: the time a person spends, each way.
Doing it by handyour team
- Manually asking each engine~1h
- Working out why you lost~45m
- Writing FAQs that might help~1h
Per prompt, by hand~2.75 hrs
AEO FAQ generator from citationsLive
- Agent reads real answersauto
- Agent writes targeted FAQsauto
- You review and publish~15m
One agent run~15 min
FAQ
Questions, answered.
A normal generator guesses at questions. This one starts from the answer the engines give today for a prompt you track, so each FAQ is aimed at a citation you are measurably not winning.
Yes. The agent reads citation intel from your workspace, so the prompt needs to be one Mentionova is already monitoring.
Yes. Knowing the source that currently holds the answer is the point — it tells you what the FAQ has to beat.
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.