updates per CP

Author: kimsauce

blog-service/2025-09-03-mobot-copilot.md

@@ -0,0 +1,29 @@
+---
+title: Mobot and Multi-Turn Conversations (Search) - Beta
+image: https://help.sumologic.com/img/sumo-square.png
+keywords:
+  - mobot
+  - log-search
+  - search
+hide_table_of_contents: true    
+---
+
+import useBaseUrl from '@docusaurus/useBaseUrl';
+
+### Copilot is now Mobot
+
+We've renamed Copilot, Sumo Logic's AI-powered log search query assistant, to *Mobot*. This change is available to all customers with no additional setup required.
+
+### Multi-turn conversations (Beta)
+
+Alongside the rename, we've introduced multi-turn conversations in Beta. Multi-turn allows you to ask follow-up questions without repeating your search context, making investigations more natural and iterative.
+
+Enhancements in Beta include:  
+
+* **Clarifications when needed**. If your request is ambiguous, Mobot may ask a follow-up question to narrow intent.  
+* **Smarter error handling**. Contextual error messages explain why a query failed and suggest fixes.  
+* **Guided exploration**. Intent cards summarize your goal, while suggestion cards offer refinements with a click.  
+* **Conversation pane**. See your prompts, refinements, and results in one place, with history you can revisit or branch from.  
+* **Dashboard-aware translations via RAG**. Mobot references recent dashboard queries to improve accuracy.  
+
+To request access, contact your Sumo Logic account executive or Support. [Learn more](/docs/search/mobot-multiturn-beta).

docs/alerts/monitors/alert-response.md

@@ -140,7 +140,7 @@ The following images and lists describe alert element on the page.<br/>![top of
 * **M**. A chart that visualizes the trend of the metric that was tracked as part of the alert condition of the monitor. The visualization tracks the *before* and *during* trends of the metric.
 * **N**. A table with the raw data that triggered the alert.
 
-<!-- rebranding https://sumologic.slack.com/archives/C099UBL7FRB/p1756500770880739?thread_ts=1756235478.872169&cid=C099UBL7FRB -->
+<!-- waiting on UI rebranding https://sumologic.slack.com/archives/C099UBL7FRB/p1756500770880739?thread_ts=1756235478.872169&cid=C099UBL7FRB -->
 
 * **O**. The **Open in Copilot** button lets you troubleshoot alerts directly in [Copilot](/docs/search/mobot) while preserving alert context, making investigations seamless. This enables faster root cause analysis by allowing you to jump into Copilot instantly and perform context-aware troubleshooting while maintaining alert details.<br/><img src={useBaseUrl('img/alerts/open-in-copilot.png')} alt="open in copilot button on alert response page" width="400"/>
 

docs/search/mobot-multiturn-beta.md

@@ -15,9 +15,7 @@ import useBaseUrl from '@docusaurus/useBaseUrl';
 This feature is in Beta. For more information, contact your Sumo Logic account executive.
 :::
 
-Our new conversational experience in Sumo Logic Mobot (formerly known as Copilot) lets you interact with queries the way you would with a chat assistant. You ask a question and can refine it with follow-ups, change units, and see the updated query and visualization without starting over. Mobot maintains your intent across turns, surfaces helpful suggestions, and makes it easy to explore related angles.
-
-This guide explains what's new in the UI, how the multi-turn flow works, and shows example workflows. The examples, such as refining a latency query for an SLO or counting warning events, are illustrative. You can apply the same interaction pattern to any log data you care about.
+Our new conversational experience in Sumo Logic Mobot (formerly known as Copilot) lets you interact with queries the way you would with a chat assistant. You ask a question and can refine it with follow-ups, change units, and see the updated query and visualization without starting over. Mobot maintains your intent across turns, surfaces helpful suggestions, and makes it easy to explore related angles. This guide explains what's new in the UI, how the multi-turn flow works, and shows example workflows.
 
 ## What's new in Beta
 
@@ -37,7 +35,7 @@ In the below example, we'll use the following key concepts:
 * **Intent card**. Visual summary of what you're asking Mobot to do in this session.  
 * **Suggestion cards**. Recommended refinements or adjacent analyses you can apply with a click.
 
-This workflow demonstrate the multi-turn interaction pattern; you can apply the same steps to other logs, events, or dimensions.
+This example workflow demonstrates the multi-turn interaction pattern; you can apply the same steps to other logs, events, or dimensions.
 
 ### Step 1: Ask your initial question  
 
@@ -87,6 +85,8 @@ You can also [edit the query logic](/docs/search/mobot/#edit-query-code), [open
 
 ## FAQ
 
+The questions below refer specifically to the multi-turn conversion (beta) experience. For general information about Mobot, see the [Mobot FAQ](/docs/search/mobot#faq).
+
 <details>
 <summary>Is any user or org data sent outside our environment?</summary>
 

docs/search/mobot.md

@@ -363,7 +363,7 @@ Mobot uses AI to interpret natural language queries and recommend search results
 <details>
 <summary>What specific types of customer data or PII does the AI process? Does it filter out PII/sensitive information?</summary>
 
-Sumo Logic Mobot processes schema and field samples to provide context to the AI. While field values can contain PII or confidential data (for example, email addresses or IP addresses), these values are used solely to enable insights and are protected under strict compliance and security reviews.
+Mobot processes schema and field samples to provide context to the AI. While field values can contain PII or confidential data (for example, email addresses or IP addresses), these values are used solely to enable insights and are protected under strict compliance and security reviews.
 </details>
 
 <details>
@@ -381,15 +381,15 @@ For example, our alerts feature log anomaly detection and build ML models from 6
 </details>
 
 <details>
-<summary>Does Sumo Logic Mobot use any open-source library, GenAI providers, or cloud providers?</summary>
+<summary>Does Mobot use any open-source library, GenAI providers, or cloud providers?</summary>
 
 For Generative AI, Mobot uses a foundation model served by Amazon Bedrock. Classical ML features leverage open-source Python libraries approved by Sumo Logic.
 </details>
 
 <details>
 <summary>What is the type of AI being used?</summary>
 
-Sumo Logic Mobot is an ensemble of Generative AI (GenAI) and classical machine learning (ML) techniques. For example, classical ML is used for anomaly detection in alerts.
+Mobot is an ensemble of Generative AI (GenAI) and classical machine learning (ML) techniques. For example, classical ML is used for anomaly detection in alerts.
 </details>
 
 <details>
@@ -405,9 +405,9 @@ No. The foundation model provider used by Amazon Bedrock has no access to custom
 </details>
 
 <details>
-<summary>Do you hold any AI-specific certifications or accreditations?</summary>
+<summary>Does Sumo Logic hold any AI-specific certifications or accreditations?</summary>
 
-No, Sumo Logic does not currently hold any AI-specific certifications or accreditations.
+No, we do not currently hold any AI-specific certifications or accreditations.
 </details>
 
 <details>
@@ -419,7 +419,7 @@ Each major capability added to Mobot undergoes legal, compliance, and applicatio
 <details>
 <summary>How can I opt out of Mobot?</summary>
 
-If you prefer not to use Sumo Logic Mobot, please contact our [support team](https://support.sumologic.com/support/s/). Your account will be updated accordingly.
+If you prefer not to use Mobot, contact our [support team](https://support.sumologic.com/support/s/). Your account will be updated accordingly.
 </details>