Using a content agent to replace a competitor's citation

Open the citations report for a prompt you care about and there it is: one competitor page, cited in most answers, sitting where you wanted your own link. You can see the URL. You can read it. What you cannot see is a clear route from there to a draft on your site that has a fair chance of taking its place.

That route is the subject of this post. It is a content problem with a tracking problem on each side of it, and it is a good test of whether a tool acts or just reports. Most of the work is ordinary editorial judgment. The agent's job is to remove the busywork around it.

Read the page that is winning before you write anything

Do this by hand first, with no tool. Open the cited competitor page next to two or three of the actual AI answers that cite it.

Ask what job the page does in the answer. Sometimes the answer quotes a definition. Sometimes it pulls a comparison table, a price range, a list of steps, or a specific number. The part that gets lifted tells you what the model wanted from that source.

Then ask what the page does not do. Common gaps: it is out of date, it answers the general question but not the one your buyer asks, it hides the useful part under a sign-up wall, or it is a product page pretending to be a guide.

Your replacement does not have to be longer. It has to contain the thing the answer used, in a more usable form, plus something the competitor page lacks. That something should be real. A fresh data point from your own product, a clearer worked example, a step the old page skips.

Also check the query fanouts for that prompt. Models rarely answer from one search. If the cited page wins one fanout but not the others, your article may need to cover a sibling question too.

Where agents help and where they should not

An agent is good at gathering references, producing a structured first draft, adding links to your other pages, filling the meta fields, and formatting for your CMS. It is poor at knowing what your product really does, what is true this quarter, and which claims you can defend.

So give it your facts, not the other way round. Hand it the competitor page as a reference, your own source material, and a brief that says what the answer needs. Then review everything, and treat the draft as a draft.

How the Promptwatch Content Agent now starts from the gap

The changelog entry for October 12, 2026 describes the shift. The Content Agent no longer needs a tracked prompt. Under "What to write about" you can choose "Describe a topic" to write about any subject, or "Target a tracked prompt" to use its query fanouts and the competitor pages AI engines already cite.

More useful for this workflow, you can start an article straight from where you spot the gap:

• Click Create content on an Answer Gap task, a query fanout, or a cited page, and the agent opens with that context filled in.
• From a cited page, you pick which citing prompt to answer. The chooser shows, for each prompt, the page's average position, its share of citations, the citing models, and whether your own site is cited too. The page is added as a reference for the agent.
• You can add your own competitor URLs as sources, up to five per article.
• Projects without tracked prompts can create content too.

Other dated pieces matter here as well. On September 18 the agent started writing in the prompt's language, which helps if you track the same topic in several markets. On September 2 articles gained a separate meta title, with Webflow and Framer field mappings able to point at it. On October 2 the agent began looking for relevant pages on your site before it writes, so internal links are part of the first draft, with pages that earn many Search Console impressions but few clicks suggested first. It also stopped linking your homepage every time your brand name appears.

On September 28 the content gap recommendations began to show whether the agent has picked one up, reviewed and held it back with the reason, or queued it for its next planning run. If a draft already exists, whether a person or the agent wrote it, "View document" is the main action, so nobody creates the same piece twice.

The workflow, end to end

1. Choose the prompt that matters. Pick one where a competitor owns the citation and a sale depends on the answer. Not ten. One.
2. Open the cited page chooser. Compare average position and share of citations across the prompts that cite the page. Choose the prompt where the competitor is strongest and you are absent.
3. Add sources. Include up to five competitor URLs, and your own internal facts if your plan has the Knowledge Base (Professional and up).
4. Write the brief by hand. Two sentences on what the answer needs that the competitor page lacks. The agent follows briefs better than it guesses them.
5. Review the draft in the editor. The editor has an AI chat panel, opened with the button in the header or the keyboard shortcut for the panel, which edits the draft in place and shows every change as a card you can revert. Our post on chat in the content editor covers that part.
6. Publish through your CMS. Promptwatch publishes to WordPress, Webflow and Framer. Framer has no per-item publish, so going live redeploys the whole site.
7. Verify. This is the step people skip. Track the page with Page Tracker, check citations for the prompt over the next weeks, and where your plan includes crawler logs (Professional and above), confirm the AI crawlers fetched it.

What not to expect

Do not expect a citation to switch on the day you publish. Models change which sources they use for reasons you cannot see, and a better page is a better bet, not a guarantee. Measure the outcome, and be ready to revise the article if the competitor page stays where it is.

And the automated, scheduled version of the Content Agent, which plans, writes and publishes against gaps on a calendar, is a Business and Enterprise feature. If you are on a lower plan, the on-demand "Create content" flow is the route, and it is a fine one. For a fuller look at the scheduled mode, see content agents and automated GEO publishing, and for the market view, the best AI content agents for GEO publishing in 2026.

Our pick

For this exact job, we would shortlist Promptwatch first. The deciding factor is not the writing. It is that the gap, the competitor page, the citing prompts, the draft and the after-the-fact tracking are in one place, so a replacement article starts from evidence and ends with a measurement. Most rivals stop at the first of those.