---
sourceDocument: Australia Enable AI
sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/pt-BR/intelligent-experiences

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    - australia

ft:locale :

    - pt-BR

ft:publication_title :

    - Australia Enable AI

ft:clusterId :

    - platai

bundleId :

    - platai

workflow :

    - Platform


---

# Discrepancies when using different AI search tools

# Discrepancies when using different AI search tools {#ariaid-title1}

* Versão de lançamento: Australia
* 
* Atualizado 12 de mar. de 2026
* 
* ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 min. de leitura

Different AI search tools may return different answers for the same or similar searches. This difference in results is expected. It occurs because each large language model (LLM) uses a different approach to find results and
generate answers that match your search.

## Overview of how LLMs create responses {#aisearch-differences__section_zcr_zfz_ygc}

Large Language Models don't retrieve answers from a single source. Instead, they generate responses by predicting the next most likely word, one at a time, based on patterns they've learned from the data they were trained on.  
Because of that, several factors can make the answers vary each time. The factors include:

* Probability
* Multiple good answers
* Context sensitivity
* LLM variation
{#aisearch-differences__ul_pxw_4pg_zgc}

Answer generation involves probability, context, and variation. Therefore, responses to the same question can differ slightly each time it is asked, and from provider to provider.

For more information on differences in ServiceNow AI results, see [Search result disparities between AI Search and Now Assist search features](https://www.servicenow.com/docs/access?context=search-disparities-ai-search-now-assist&version=australia&pubname=australia-platform-administration&ft:locale=en-US).  

## Now LLM Service response vs. Azure response {#aisearch-differences__example_otp_vyp_2hc}

Figura 1. The difference in responses by Now LLM Service and Azure for information about tuition reimbursement

