Belief System Analysis · Updated on .
A useful GEO measure distinguishes the presence of the organization, the accuracy of its description, and the sources used in the observed responses. These dimensions answer different questions. Merging them into a single score can hide visibility progression accompanied by significant errors.
The dashboard must always show the scope: questions, language, engines, dates and number of usable responses. It describes this panel, not all the conversations of all users. This limit does not detract from the value of the measurement; it indicates how to interpret it.
Presence: where does the organization appear?
Presence can be defined as the proportion of usable responses that mention the brand, in a specific set. The ratio must retain the numerator and denominator. A missing response should not be automatically counted as a missing mark.
Reading by engine and by question family is essential. An average can mask strong differences between brand questions and seeking advice. A change of panel must be reported. Otherwise, the figure may increase while the answers to the initial questions have not changed.
Accuracy: what do we say about the organization?
Accuracy is worked from a repository of facts: identity, activities, offer, scope and sensitive information. Each error is qualified according to its importance and its recurrence. An omission, old information and an invented statement must remain distinguished.
NIST documents fabrication risk in generative content. The human review therefore retains a central place for the assertions that engage the organization. A coding system can help, but it should be checked on a sample and revised when ambiguous cases arise. [1]
Sources: which pages provide the answer?
The report distinguishes between domain, URL and observable usage. A page can be retrieved without being cited; a quote may refer to a third-party source that discusses the organization. It is necessary to examine the associated passage before concluding that the company site makes the argument.
The metrics provided by the tools should be read according to their definition. A citation count is not a number of people reached. A citation average is not necessarily a percentage. Comparisons must keep the same unit and the same perimeter, without adding incompatible data.
Example of read-across
In a fictional example, the brand appears more on selection questions, but a former activity is often cited. The results should not conclude that it has been a complete success. The priority may become the clarification of reference pages and external descriptions.
In another case, accuracy progresses without an increase in presence. This result can be useful if the first objective was to correct a confusion. The communications department must be able to recognize this progress without transforming it into unmeasured commercial gain. The AMEC provides a benchmark to keep achievements and their effects distinct. [1]
Link each observation to an action
An error leads to checking facts and sources. A poorly accessible page leads to a technical review. Poorly understood expertise calls for clarification of the offer and content. A weak quote alone does not allow you to choose between these actions.
The dashboard must also record the changes made and their dates. The next measure can then examine the development cautiously, taking into account other factors. GEO becomes a learning process: observing, correcting, documenting and re-examining, without promising to control the responses of the engines.