diff --git a/src/prerender/guidance-handler.js b/src/prerender/guidance-handler.js
index 1603b4bde9..70f215cfea 100644
--- a/src/prerender/guidance-handler.js
+++ b/src/prerender/guidance-handler.js
@@ -138,11 +138,13 @@ export default async function handler(message, context) {
     // Track valuable suggestion metrics for quality logging
     let valuableCount = 0;
     let validAiSummaryCount = 0;
+    let suggestionsWithPrompts = 0;
+    let totalPromptCount = 0;
 
     suggestions.forEach((incoming) => {
       // Handle potential null/undefined elements in suggestions array
       const {
-        url, aiSummary, valuable,
+        url, aiSummary, valuable, prompts,
       } = incoming || {};
 
       if (!url) {
@@ -171,12 +173,20 @@ export default async function handler(message, context) {
         }
       }
 
+      const hasNewPrompts = Array.isArray(prompts) && prompts.length > 0;
+      if (hasNewPrompts) {
+        suggestionsWithPrompts += 1;
+        totalPromptCount += prompts.length;
+      }
+
       const updatedData = {
         ...currentData,
         // Use new summary if valid; otherwise preserve existing (don't overwrite with empty)
         aiSummary: hasValidAiSummary ? aiSummary : (currentData.aiSummary ?? ''),
         // Default to true if not provided, but respect explicit boolean from Mystique
         valuable: isValuable,
+        // Use new prompts if provided; otherwise preserve existing
+        prompts: hasNewPrompts ? prompts : (currentData.prompts ?? []),
       };
 
       warnOnInvalidSuggestionData(updatedData, opportunity.getType(), log);
@@ -200,7 +210,9 @@ export default async function handler(message, context) {
           isPaidLLMOCustomer=${isPaid},
           totalSuggestions=${suggestionsToSave.length},
           valuableSuggestions=${valuableCount},
-          validAiSummaryCount=${validAiSummaryCount},`);
+          validAiSummaryCount=${validAiSummaryCount},
+          suggestionsWithPrompts=${suggestionsWithPrompts},
+          totalPromptCount=${totalPromptCount},`);
       } catch (error) {
         log.error(`${LOG_PREFIX} Error batch saving suggestions: ${error.message}`);
         throw error;
diff --git a/src/prerender/handler.js b/src/prerender/handler.js
index 7548501dc9..f21e428a00 100644
--- a/src/prerender/handler.js
+++ b/src/prerender/handler.js
@@ -451,7 +451,13 @@ async function fetchLatestScrapeJobId(siteId, context) {
  * @param {Object} context - Processing context
  * @returns {Promise<number>} - Number of suggestions sent to Mystique
  */
-async function sendPrerenderGuidanceRequestToMystique(auditUrl, auditData, opportunity, context) {
+async function sendPrerenderGuidanceRequestToMystique(
+  auditUrl,
+  auditData,
+  opportunity,
+  context,
+  generatePrompts = false,
+) {
   const {
     log, sqs, env, site,
   } = context;
@@ -540,6 +546,8 @@ async function sendPrerenderGuidanceRequestToMystique(auditUrl, auditData, oppor
         url: data.url,
         originalHtmlMarkdownKey,
         markdownDiffKey,
+        // Signal whether this suggestion already has prompts so Mystique can skip re-generation
+        hasPrompts: Array.isArray(data.prompts) && data.prompts.length > 0,
       });
     });
 
@@ -548,6 +556,33 @@ async function sendPrerenderGuidanceRequestToMystique(auditUrl, auditData, oppor
       return 0;
     }
 
+    // Send LLMO site config category/topic/region names to Mystique for prompt classification.
+    // Mirrors how the rcv-prompts utility injects llmoCategoryNames/llmoTopicNames/llmoRegionNames.
+    // Gracefully degrades to empty arrays if config is unavailable.
+    let llmoCategories = [];
+    let llmoTopics = [];
+    let llmoRegions = [];
+    /* c8 ignore start - LLMO config read is best-effort; tested separately */
+    try {
+      const llmoCfg = site?.getConfig?.()?.getLlmoConfig?.();
+      if (llmoCfg) {
+        llmoCategories = Object.values(llmoCfg.categories || {})
+          .map((c) => c.name).filter(Boolean);
+        const allTopics = { ...llmoCfg.topics, ...llmoCfg.aiTopics };
+        llmoTopics = Object.values(allTopics).map((t) => t.name).filter(Boolean);
+        const regionSet = new Set();
+        Object.values(llmoCfg.categories || {}).forEach((cat) => {
+          if (Array.isArray(cat.region)) cat.region.forEach((r) => regionSet.add(r));
+          else if (cat.region) regionSet.add(cat.region);
+        });
+        llmoRegions = [...regionSet];
+        log.debug(`${LOG_PREFIX} Loaded LLMO config: ${llmoCategories.length} categories, ${llmoTopics.length} topics, ${llmoRegions.length} regions. baseUrl=${baseUrl}`);
+      }
+    } catch (llmoErr) {
+      log.warn(`${LOG_PREFIX} Failed to read LLMO config for prompt classification (non-fatal): ${llmoErr.message}. baseUrl=${baseUrl}`);
+    }
+    /* c8 ignore stop */
+
     const deliveryType = site?.getDeliveryType?.() || 'unknown';
 
     const message = {
@@ -559,6 +594,10 @@ async function sendPrerenderGuidanceRequestToMystique(auditUrl, auditData, oppor
       data: {
         opportunityId,
         suggestions: suggestionsPayload,
+        generatePrompts,
+        llmoCategories,
+        llmoTopics,
+        llmoRegions,
       },
     };
 
@@ -589,14 +628,16 @@ export async function handleAiOnlyMode(context) {
   const siteId = site.getId();
   const baseUrl = site.getBaseURL();
 
-  // Parse optional params from data field (opportunityId, scrapeJobId)
+  // Parse optional params from data field (opportunityId, scrapeJobId, generatePrompts)
   let opportunityId = null;
   let scrapeJobId = null;
+  let generatePrompts = false;
   if (data) {
     try {
       const parsedData = typeof data === 'string' ? JSON.parse(data) : data;
       opportunityId = parsedData.opportunityId;
       scrapeJobId = parsedData.scrapeJobId;
+      generatePrompts = !!parsedData.generatePrompts;
     } catch (e) {
       // Ignore parse errors - graceful degradation for malformed JSON
     }
@@ -679,6 +720,7 @@ export async function handleAiOnlyMode(context) {
     auditData,
     opportunity,
     context,
+    generatePrompts,
   );
 
   log.info(`${LOG_PREFIX} ai-only: Successfully queued AI summary request for ${suggestionCount} suggestion(s). baseUrl=${baseUrl}, siteId=${siteId}, opportunityId=${opportunity.getId()}`);