What do the terms 'references' and 'share' refer to when measuring the performance of AI search?
What do the reference rate and share mean when measuring the performance of AI search? The share answer is whether the brand appears in the answer, according to the standards checked on the day, the model share refers to the proportion of the brand included in the AI answer. The reference rate answers how many of the sources provided in the answer point to the brand itself. One measures presence, and the other measures source construction, and the two sets of standards cannot be substituted for each other.
What are the two indicators asking for
The denominator of the model share is the sample size of a batch of questions, and the numerator is the number of responses that mentioned the brand. It is suitable for answering whether the brand is considered in the question and answer scenario, and it is a comparative indicator: how often does it appear compared to its peers under the same set of questions.
The denominator of the citation rate is the number of sources provided in the answers, and the numerator is the number of sources that belong to the brand. It is suitable for answering whether the content layer is sufficiently supplied: even if the answer mentions the brand, if all citations come from third parties, there is no benefit to page引流 and credibility construction.
According to the口径 checked on the day, most of the references come from the brand's own or nearby sources, the 86% proportion indicates that the main battlefield of source construction is in the own domain, rather than external转载.
How to calculate the share
Three things must be fixed to calculate the share: question set, statistical period, and criteria.
The question set should cover the real questions that users will ask, not just pick good words; the statistical period is usually aligned with the weekly or revision node; the criteria should be clear on what counts as “appearance”——brand name, product name, own domain, any one of them is different in口径, mixed use will make the trend distorted.
The denominator is also crucial. The sample size is the number of questions asked rather than the number of page views, and the magnitude difference between the two is very large, it must be written clearly in the report. When the share changes, first check whether the question set has changed, and then look at the content-side changes.
How is the citation rate calculated?
The citation rate needs to be classified by the source domain. There are three available splitting methods: pages under the self-owned domain, sites close to the same subject, and the rest of the third-party sources. The second layer is easy to miss, and although the nearby sources do not belong to the main site, they are still within the controllable range.
Judgment of being cited should be based on the traceable sources provided in the answer, not on the text generated by the model. Only looking at the description would include false positives and spellings similar to the target, leading to a虚高index.
When the same question is asked multiple times, the citation rate should be averaged by round. A notice from the day before explained the reason: only 30% of brands can remain visible between two consecutive answers, and the single-round sampling results are not sufficient to support the conclusion.
Data collection and verification path
| Indicator | Measurement object | Denominator | Questions suitable for answering |
|---|---|---|---|
| Model share | Whether the brand appears in the answer | Number of sample questions | Whether the brand is considered in the question and answer scenario |
| Citation Rate | Number of brand-related items in the source | Total number of source items provided in the answer | Does the self-owned content become a cited source |
| Stability of visibility | Whether the adjacent rounds continue to appear | The number of consecutive questions | Is the performance stable or randomly hit |
The indicator needs to fall on the interface or backend data before it can be reviewed. AnQiCMS publicly releases high-frequency API call capabilities covering document lists and details, categories and tags, uploading images, comments and replies, friend links, system settings and contact information. The accompanying interface documents can be checked against the returned fields according to actions; on the MCP side, the convergence tool surface of the intent directory has round-level approval for writing operations, and data collection actions and writing actions are layered, making it convenient to hang the statistical script on the read side.
The measurement on the site side still depends on the content surface data. A total of 14 background modules related to GEO and SEO, such as llms.txt, full-text search, and comment anti-spam, can provide the original data of content visibility and user feedback. The calculation of indicators directly depends on these verifiable details.
The two sets of specifications cannot be substituted for each other
A high share and low citation rate indicates that the brand is mentioned but the content is not cited, the problem lies in the extractability of the self-owned page; a low share and high citation rate indicates that a few pages are cited repeatedly but the coverage is narrow, it is necessary to expand the content corresponding to the problem set. Both indicators together can locate the gap.
Common questions
Can we only look at one indicator?Not recommended. The share reflects presence, the citation rate reflects source construction, and the causes of the gap are different.
Is the neighboring source considered an owned citation?It should be classified separately as a neighboring layer; including it in the owned domain scope will overestimate the contribution of the main site's content.
How large should the sample size of the question be?Sample stratification by question category is more important than a total number; trends are not comparable when the sample scope changes.
Can the indicator interface with backend data?The read-side interface can return details such as documents, categories, and comments; the measurement script calculates according to the interface fields, and only retain verifiable records.