See which of your pages AI engines cite, whether answers describe your brand positively, and what to fix on your site when an answer is wrong or missing.
2 min readUpdated 16 October 2026
What citations tell you
Citation insights show which of your pages AI engines cite, and which answers leave you out. A cited page is one an AI engine trusts enough to quote or link.
What sentiment tells you
Sentiment analysis shows whether AI answers describe your brand positively, neutrally or negatively.
If answers are outdated or wrong, the fix usually starts on your own site: clear, accurate pages with consistent facts and structured data.
What to do next
Strengthen pages that are almost cited with clearer answers and specific facts
Create pages for prompts where you are missing
Keep business facts consistent everywhere they appear, including local listings
Recheck the same prompts after you publish changes
An AI citation is a link or reference an AI engine includes in its answer to show where information came from. When ChatGPT, Gemini, Claude, Perplexity or Google AI Overviews cite one of your pages, it signals that the engine trusted that page enough to quote or link it for that prompt.
What does the citation report in Apex® show?
The citation insights in Apex® show which of your pages AI engines cite and which answers leave your brand out. Reviewing both sides helps you see which pages already earn trust and which prompts need new or stronger content.
What is the difference between a citation and a mention?
A citation links to or credits a specific source page, while a mention only names your brand inside the answer text. A mention without a citation means the engine knows about you but is not sending readers to your site, so strengthening the relevant page is often the next step.
What does AI sentiment analysis measure?
AI sentiment analysis measures whether AI answers describe your brand positively, neutrally or negatively. It helps you spot answers that are unflattering, outdated or inaccurate, so you can decide which pages and facts to improve first.
Why would an AI engine describe my brand incorrectly?
AI engines usually get brand details wrong when the sources they rely on are outdated, inconsistent or unclear. Conflicting hours, addresses, prices or service descriptions across your site and listings make it harder for a model to state one confident, accurate fact.
How do I fix a wrong or outdated AI answer about my brand?
The fix usually starts on your own site. Publish clear, accurate pages with consistent facts and structured data, update any listings that disagree, then recheck the same prompts after the changes go live. You cannot edit an AI answer directly, but you can improve the sources it reads.
What should I do with pages that are almost cited?
Pages that are almost cited usually need clearer answers and more specific facts. Put a direct answer near the top, add concrete details such as features, locations or steps, and make sure the page matches the wording buyers actually use in their prompts.
What should I do when my brand is missing from an answer?
When your brand is missing from an AI answer, check whether you have a page that directly addresses that prompt. If not, create one that answers the question clearly and accurately. If a page exists, strengthen it with specific facts, structured data and consistent business details.
Why do local listings affect AI citations and sentiment?
AI engines cross-check business facts across many sources, and local listings are among the most visible. If your name, address, phone number or hours differ between your site and your listings, answers may be inconsistent. Keeping facts aligned everywhere makes your brand easier to describe accurately.
How often should I recheck citations and sentiment?
Recheck the same prompts after you publish changes, so you compare like with like. AI answers can shift over time as engines update and read new content, so regular reviews show whether your improvements are being picked up and where new gaps appear.
Does structured data help with AI citations?
Structured data helps by stating your facts in a format machines read reliably. Schema.org JSON-LD can describe your organization, products, locations and FAQs explicitly, which reduces ambiguity for AI engines. It works best alongside clear on-page content rather than as a replacement for it.
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