Your guide appears in the sources below an AI answer. Great. Then you read the recommendation: it suggests buying from a competitor.
That can happen without anything being broken. A citation credits a source for information. A recommendation suggests an option for the need described in the question. Your article might be useful for the first job while another product fits the second.
Before rewriting the page, work out which gap you're looking at.
What is the citation actually supporting?
Read the sentence attached to the source link, then open the source. Is your article supporting a definition, an implementation step, or a comparison? Does the linked passage discuss a product at all?
Imagine a fictional answer about choosing a customer-support tool. It cites your guide to explain what a shared inbox is, then recommends another vendor for a required integration. Your guide helped explain the category. It wasn't necessarily evidence that your product met the buyer's requirements.
Save the prompt, response, cited passage, and linked URL. This is more useful than a screenshot showing only your logo among the sources.
Our AI citation glossary entry covers the linked-source signal. Keep it separate from mentions and recommendations in your reporting.
Check the requirements before the competitors
Write down what the question asks for. Include the audience, task, budget, integrations, geography, and constraints that are actually stated. Don't add requirements just because your product happens to meet them.
Then check whether your product fits. If it doesn't offer a required capability, a competitor recommendation may be reasonable. If it does, find the current documentation that proves it and note any restrictions.
Use a small comparison sheet:
- Buyer requirement: what the question explicitly asks for.
- Your product: supported, partly supported, unsupported, or not yet verified.
- Evidence: current documentation or a tested example.
- The answer: accurate, incomplete, or wrong on that point.
- Next action: clarify a page, verify a fact, or accept the tradeoff.
This keeps the review honest. You aren't trying to make every answer recommend your company. You're trying to see whether the answer represents the available evidence fairly.
Find the information a buyer would need
If your product is a plausible fit, inspect the relevant product page and documentation. Can someone confirm the capability without booking a demo or reading a vague promise?
“Works with your stack” is less helpful than a page that names the supported connection, explains how it works, and lists plan requirements. “Built for growing teams” doesn't answer whether five people can afford the minimum contract.
In our hypothetical support-tool example, the page update might be a short integration section with a tested setup link and a clear limitation: attachments sync, but historical conversations don't. That is decision-making information, even if the limitation doesn't sound like marketing copy.
Link the explanation from the relevant product page. Keep setup instructions in documentation if they need more room. Use descriptive internal links so the reader knows where each path leads.
Review the comparison without copying it
Open the competitor's cited pages when the answer provides them. Which requirements do those pages address? Are the claims current? Does the recommendation rely on a capability your product lacks, or is your own evidence simply hard to find?
Don't conclude that the competitor won because of a particular heading, word count, or schema type. The visible answer doesn't reveal the full selection process. Treat those observations as leads to investigate.
If you publish a comparison, use the same criteria for both products and link to current vendor documentation. Distinguish something you've tested from something a vendor states. Avoid unsupported judgments about a rival's customers, security, or reliability.
Google's content guidance encourages original value and clear evidence. A fair explanation of a real tradeoff gives a reader more than another “why we're best” page.
Track the two outcomes separately
Keep one view for linked citations and another for product recommendations. Read a sample of the underlying answers so a product-name match doesn't become an automatic endorsement.
Repeat the same questions over time with a recorded setup. Note incomplete or failed checks separately. If you change the question set, annotate the change before comparing the totals.
WildSEO's stored answers can help you investigate the language around a brand mention. Our AI share-of-voice guide explains what a summary metric can and can't tell you. More citation links and more recommendations are different outcomes.
After a page update, record the date and follow the pattern. Also check whether the page helps relevant visitors reach the next step. A clearer capability page can be valuable even before a monitored AI answer changes.
Start with the requirement you can verify. If your product fits, make the evidence easy to find. If it doesn't, document the limit honestly and bring the need back to your product team.
