---
title: "Citable content engine · Avouch"
description: "AI answers by quoting, not by listing links. We write the pages it can quote cleanly and credit, about a dozen a month, built from the questions your buyers actually ask."
url: https://avouchedfor.com/services/content-engine
markdown_url: https://avouchedfor.com/services/content-engine.md
---

# Pages AI can quote and credit.

AI answers by quoting a few lines from a page. We write the pages it quotes.

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What AI says

Illustrative example, not a real client

User prompt: “What should a SaaS company look for in onboarding software?”

ChatGPT

Several factors matter, but as Quillmoor notes, the first is whether the software can handle a rollout across several teams at once. …

★ Your answer, quoted and credited

## A blog calendar is not the same thing.

Most business writing is built for a human skimming and for a search ranking: a long run-up, and the answer buried near the end. AI cannot quote that cleanly, so it quotes somebody who put the answer at the top instead. The thing being produced is not the article. It is the answer somebody can lift.

## How we work

1. ### Start from the real questions  
We write for the questions your buyers actually put to AI, collected rather than invented, and each page is the clearest answer to one of them.
2. ### Put the answer at the top  
The plain answer first, in a few lines AI can quote whole. The evidence sits underneath it. Where numbers can be compared, a real table, because AI quotes tables far more readily than prose.
3. ### Keep it going every month  
About a dozen pages a month, every month, so it builds up instead of arriving in bursts and going quiet.

## What you get

- ### Pages built to be quoted  
Around a dozen a month, each the clearest answer available to a real question your buyers ask, with the answer at the top.
- ### Three readers served at once  
Every page works for the person reading it, for the business whose name is on it, and for the AI deciding whether to quote it.
- ### A library that keeps earning  
A growing set of pages that carries on being quoted long after it was published.

## The work, in order

1. Pick the questions worth owning  
Drawn from what your buyers actually ask, sorted by who is asking, not from a guess at topics.
2. Write so it can be quoted  
Answer first, clean headings, a table where one genuinely helps, and every few lines able to stand on their own.
3. Check it against your rules  
Every claim checked against the rules you work under, by a person, before anything goes out.
4. Publish, then watch  
Every month, and then tracked: which pages AI actually started quoting.

## Answer first, evidence under it, every month

Three rules: lead with the answer, back it with evidence, and keep it going.

1. ### Answer first  
The answer at the top, in a few lines AI can quote whole.
2. ### Evidence under it  
Real proof and real tables beneath, which is why AI trusts the quote.
3. ### Every month  
A steady monthly rhythm, so it builds up instead of spiking.

## How we’re different

| Dimension | Avouch | Typical agency or tool |
| ------------------ | ------------------------------------- | ---------------------------------- |
| What gets produced | An answer somebody can lift | An article, measured by word count |
| The shape | Answer at the top, built to be quoted | Answer buried after a long run-up |
| The brief | The questions your buyers really ask | A keyword list and a guess |

## Aimed by the Citation Intelligence Platform.

Our own database tells us which questions you are losing and which pages start getting quoted, so the month is pointed at a real gap rather than at a content calendar.

The heart of the retainer. This is the part that produces what AI quotes.

![The Avouch console for one anonymised client: share of AI answers that mention it, share of voice, answers citing its site, answers analysed, and how AI frames it, from recommended to passing mention.](https://avouchedfor.com/img/platform-ai-visibility.png)

## Content questions

### How much, and how often?

Roughly a dozen pages a month, every month. They are deliberately short and answer-shaped rather than long for the sake of it. The point is being quoted, not word count.

### Who writes it, and is it just AI output?

It is produced through our own process, then written to clear the rules you work under and to carry your name. Nothing goes out that whoever signs things off could not sign off, and nothing claims what the page cannot back.

### Why tables?

Because AI quotes them. Where information genuinely compares, a clean table is far more likely to be quoted than the same facts written out, so we use real tables and not decoration.

AI can't recommend what it doesn't know.

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