Competitors are cited in AI answers and you are not
Answer engines name other brands for questions your pages cover.
No close match. Try a service, industry, case number or technical topic.
Engineer web content for extraction and citation in Google AI Overviews, Perplexity, and ChatGPT with structured answer spans, entity grounding, and machine-readable endpoints.
Answer engines name other brands for questions your pages cover.
AI Overviews and zero-click results answer the query before the click.
Different sources give different facts about what you do, so models repeat the confusion.
There is no stable prompt set or record of how often you are mentioned or cited.
The same sequence every time, so each step can be checked.
Build a prompt set from real customer questions and record a baseline of mentions and citations.
Rewrite priority pages so each key section opens with a direct, self-contained answer.
Make entity facts consistent across pages, structured data, profiles and third-party sources.
Publish machine-readable helpers such as a clean llms.txt where useful.
Re-run the prompt set on a schedule and report ranges, not single results.
Search Console data. Client names withheld.
No one can. The work improves the odds by making your content easier to retrieve, understand and verify, and measures the result honestly.
No. Answer engines still rely on pages that are crawlable, relevant and trusted, so the foundations stay the same.
The ones your customers use. Typically Google AI Overviews, ChatGPT and Perplexity, with the prompt set kept stable between runs.
Start with the 3-step diagnostic. I reply with where I would begin and why.