For content teams

AI visibility for content teams: five workflows for getting content cited by AI

Getting cited by AI is a different job from ranking in Google. These five workflows cover the editorial steps a content team takes so a page survives AI retrieval and gets cited by ChatGPT and AI Overviews.

Jim Wrubel
Jim Wrubel

Last updated

5 of 28 guides in the Spyglasses workflow series.

Getting cited is a different job from ranking.

A search engine ranks your page. An assistant reads a piece of your page and decides whether to use that piece in an answer. Those are different jobs, and a page can do the first one well while losing the second one badly.

The useful part is that the retrieval steps are testable before you publish. You can score a draft against the queries it should win, see the exact gate where it drops out, and fix it while it's still a draft. That's a normal editorial step, not a new discipline.

The workflows below run from a first draft through to finding the next thing worth writing. Each links to a full article with the steps in order.

Key takeaways
  • Assistants retrieve passages, so the section is the unit of work, not the page.
  • You can score a draft against real queries before it ever goes live.
  • Two pages aimed at one query usually means neither of them gets picked.
  • Real questions from search and forums make better briefs than keyword lists.

Score a page before you touch the copy

Pick a query you want to win, point the optimizer at the page, and see which stage of retrieval drops it. The first score tells you whether the problem is the writing or something else.

Other roles, same series

The workflows overlap more than the job titles do. These hubs cover the rest of the set.

AI visibility guides for marketing agencies

Marketing agencies →

AI visibility guides for PR and communications teams

PR and communications →

AI visibility guides for in-house marketing teams

In-house marketing →

Frequently asked questions

Can I score a draft before it's published?

Yes. Paste the draft, pick the queries it should win, and score it gate by gate. You can revise and re-score as many times as you need before anything goes live.

Does making a page longer help it get cited?

Not on its own. Retrieval picks a passage, so a specific, well-structured section beats a longer page with the same answer buried in the middle of it.

What is a fan-out query?

It's the web search AI writes for itself after someone asks a question. Your page competes for the fan-out query rather than the prompt the person typed, which is why the two lists rarely look alike.

How do I know which page to update first?

Sort by the gap between how much a query matters and how well you currently rank for it. The best targets are usually pages that almost make it, not pages you haven't written yet.

AI Visibility Guides for Content Teams | Spyglasses