systemreadShould you change individual words to earn more AI citations?
Start by testing the page as a whole. The paper introducing FeatGEO reports that document-level content properties influenced citation behavior more strongly than isolated wording edits in its experiments. That makes substantive page revision a useful experiment, but the finding does not establish a universal recipe for earning citations. (Liu and Xu, paper abstract)
Citation visibility is a different target from search ranking
Answer Engine Optimization concerns how information gets selected, represented and cited in AI answers. For a marketer, founder or independent researcher, one useful question is whether an answer engine cites a relevant page when answering questions that page addresses.
Search ranking and citation visibility measure different things. A ranked result gives a page a position in a list. A citation connects a source to a generated answer. The FeatGEO abstract frames selective citation as the visibility problem its method addresses. (Liu and Xu)
Keep the stages separate when evaluating a change: whether a system can access or retrieve a page, whether it cites that page, and whether the resulting exposure helps your business. A citation measurement alone cannot answer all three questions.
FeatGEO changes the editing process
FeatGEO represents webpages through interpretable structural, content and linguistic properties. It optimizes those properties first, then uses a language model to turn the chosen configuration into natural language. This separates decisions about the document from the wording used to express them. (Liu and Xu)
An illustrative example: a software comparison page could be revised around the buyer’s decision, with explicit comparison criteria and clear explanations of relevant tradeoffs. That is a document-level revision. Replacing individual phrases while preserving the same information and organization is a narrower wording edit.
The example explains the distinction; it is not a reported FeatGEO experiment or a proven citation tactic. The abstract does not identify which specific page properties produced the strongest gains.
The benchmark supports a direction, not a checklist
The researchers report experiments on GEO-Bench across three generative engines. FeatGEO improved citation visibility while maintaining or improving content quality, and outperformed the token-level rewriting methods used for comparison. The abstract also reports that learned feature configurations generalized across language models of different sizes. (Liu and Xu)
Those findings make page-level optimization worth investigating. They do not tell you that a particular heading structure, paragraph length or phrase will earn a citation.
The evidence available here is the paper’s abstract. It does not provide effect sizes, engine identities, detailed quality measures or enough experimental detail to assess how closely the benchmark matches a particular website. It also does not establish traffic, lead or sales gains. Treat the result as support for a test direction, rather than a forecast for your site.
Test substantive changes without losing useful information
The practical lesson is to evaluate citation visibility and content quality together. FeatGEO explicitly treats both as objectives; pursuing citations alone would leave out a central part of the reported approach. (Liu and Xu)
A small exploratory test can follow three steps:
- Record a baseline. Choose one page and a fixed set of questions it genuinely answers. Record the answer engine, test date and whether the page receives a citation. Keep ordinary search performance separate.
- Compare substantive revision with wording edits. Document what changed in each version. Preserve verified facts and useful qualifications. Treat any improvement as an observation under those test conditions, not proof of a general rule.
- Review usefulness alongside citations. Check whether each revision still answers the reader’s question clearly and accurately. Measure relevant visits or inquiries separately if those are your business goals.
This is a proposed experiment, not a replication of FeatGEO. Its purpose is to learn whether a more useful, coherent page also earns more citations in the setting you care about.