A list of websites cited by AI is the start of an investigation. The useful next step is to read the specific page, understand what it contributes, and decide whether your brand has something relevant to add.
On November 12, 2026, Scrunch, a Sitecore company, announced Citation Optimization. The company describes a capability that identifies third-party pages cited for tracked prompts, highlights brand and competitor presence, and helps prepare targeted outreach. The announcement extends its existing work on brands' own websites to external sources.
That launch is a useful industry development for GEO teams. It also raises a practical question that applies whatever monitoring workflow you use: what should you do with a cited source once you find it?
I would begin with the page and the buyer's question, then choose among correction, contribution, publication, or continued observation. These are editorial recommendations, rather than results from a test of the newly announced product.
Read the cited page before judging the domain
Save the buyer question, the observed answer, the engine, the market, and the date. Open the actual cited URL and identify the part relevant to your business.
A large publication might be cited for a general definition, while a specialist guide answers a narrow purchasing question. A page can also mention a competitor without recommending it. Those differences matter when deciding what your team should do next.
Record what you can verify. If an answer links to a page, that establishes an observed citation. It does not show every source the system considered or explain the weight it assigned to that page.
Choose the response that fits the evidence
Use a short review sheet to distinguish several kinds of opportunity:
| What you find | A useful response | Evidence to prepare |
|---|---|---|
| An outdated fact about your product | Request a specific correction through the publisher's stated process | Current documentation and the exact statement needing review |
| A guide missing a relevant perspective | Offer a useful contribution for the editor to consider | Original expertise, a clear example, and supporting material |
| A topic your own public pages do not explain | Improve the relevant page on your website | A direct answer and verifiable product facts |
| A suitable opportunity for a new article | Prepare a brief for that publication's audience | Topic, reader need, proposed evidence, and publishing terms |
| A citation unrelated to your buyer's decision | Keep it in the record without prioritizing action | A note explaining its limited relevance |
The response should match what is wrong or missing. A factual correction is different from a request to be added to a recommendation list. An editor may reasonably decide that your contribution does not fit the article.
AI already decides how your brand shows up.
Every prompt, citation, and recommendation is a signal. igeo.ai turns that behavior into clear answers and the next action, whether that’s a page to rewrite, a schema to add, or a story to publish.
Write a contribution that stands on its own
Before drafting, complete this sentence: “The reader will understand ___ better after reading this.” If the only answer is your brand name, the brief needs more work.
For example, a company that sells reporting software could explain how to distinguish a form submission attempt from an accepted lead. That topic can be useful because it resolves a real operational question. Product references should support the explanation and accurately describe the available workflow.
Use original examples your team can substantiate. Label hypothetical scenarios, remove private customer information, and avoid turning a simulated dashboard into a claimed customer result. Link to the public page that supports an important fact rather than sending every link to an unrelated sales destination.
Keep the publishing arrangement visible
An independently written review, an expert contribution, a company announcement, and a paid placement are different kinds of material. Record which arrangement you are using and follow the publisher's stated editorial and disclosure requirements.
Paying to publish an article does not make it an independent endorsement. Nor does a publisher's earlier appearance in AI answers guarantee that a new article will be cited. Evaluate the audience and the substance of the proposed piece before treating a citation history as a reason to publish.
That distinction keeps the campaign brief honest: you are creating a useful article for an identified readership, then observing whether it reaches people or appears as a source.
Organize the work in igeo.ai Marketplace
igeo.ai Marketplace brings publisher selection, article drafting, editing, submission, and publication tracking into a shared workflow. Use it to review opportunities against the subject and market you actually need to reach.
For the detailed process, see our Marketplace publishing guide. It explains filtering publishers, preparing an article, checking the displayed credit cost, and following submission status.
Submission and publication remain separate milestones. Check the current publisher requirements and app terms, then track the actual status rather than counting a submitted draft as a live article. Once it is published, save the final URL and date, and read the live version to confirm that the important facts and links survived editing.
Measure the article and the answer separately
Use igeo.ai monitoring to review observed answers and their sources for the buyer questions in your campaign. Keep the questions and markets consistent enough to make later comparisons useful.
For a published URL, AI Search Console follows observed crawling and citation activity where the content and account data allow. A page being accessed, a URL being cited, and your brand being named in an answer are separate observations.
Record identifiable visits and qualified business outcomes alongside those signals. If the available data cannot connect an enquiry to a particular article, leave that attribution open. A change after publication is a reason to investigate, not proof that the article caused it.
Start with one page and one justified action
Take one important buyer question and inspect one cited third-party page. Write down the fact, gap, or reader need you can support. Then choose one appropriate action and identify who owns it.
Book a demo of igeo.ai to explore how source monitoring, Marketplace publishing, and URL-level citation tracking can support that process.