Transform information gain into influence with LLM Optimizer

Release Notes

A changelog of the latest updates for Adobe LLM Optimizer

Date
2026-05-09
Features
  • Google Analytics Integration – Referral Traffic via Google Analytics is now generally available for all paying customers
  • Brand Presence Enhancements – Deeper visibility into brand performance across multiple dimensions
    • Sentiment Movers now includes a Region column for geographic filtering
    • Insights Tables columns reordered to surface the highest-value metrics first: Source, Parent, Sentiment, Share of Voice, Brand Mentions, Top 5 Brands, and Engagement
    • Market Landscape legend now shows only categories present in your data, reducing visual noise
    • Data outage periods from upstream providers are now visualized as highlighted date ranges on Mentions and Citations charts, with hover tooltips and filtering by platform and section
  • Opportunities: CSV Export – Export 4xx/5xx/403 error opportunity data as CSV, grouped by URL and User Agent for easier analysis
Bug-fixes
Date
2026-04-25
Features
  • Brand-Centric Experience Enhancements – Continued improvements to brand workflows and usability:
    • Added list view for brands with sortable columns and shareable URL state
    • Enhanced Category Management with search, usage insights, and inline editing
    • Improved primary URL selection with site resolution and validation
    • Refined onboarding wizard with clearer steps and structured inputs
    • Added market selector guidance across brand dialogs
  • Agentic Traffic Support – Expanded bot taxonomy to include OAI-AdsBot and Google Action Agent variants, improving classification and visibility into emerging agent-driven traffic patterns.
  • Optimize at Edge for Adobe Managed CDN - 1-click setup is now available directly within the UI for AEM CS for Adobe managed Fastly CDN customers. This simplifies deployment of optimizations at the edge. Learn more here.
  • Chrome extension for Optimize at edge Validator - Released a Chrome extension to validate Optimize at Edge routing by simulating bot traffic, checking failover headers, and verifying human traffic bypass behavior.
  • AI Content Visibility Checker - Updated extension to provide a clearer path from insight to action, including guided next steps, downloadable reports, and shareable insights to accelerate adoption.
  • Wikipedia Opportunity – Export recommendations as structured PDFs with an overview page and one page per suggestion, including performance vs. average benchmarks and visual indicators.
Bug-fixes
  • Fixed an issue with owned citation count deduplication and display in Brand Presence.
  • Fixed handling of non-ASCII characters in brand aliases and topic names.
Date
2026-04-03
Features
  • Brand-Centric Experience – Now Generally Available – New customers now land in a brand-first UI by default with onboarding-driven setup. Each org starts with one active brand and additional suggested brands
  • Adobe Analytics Integration – Now Generally Available – Customers can now connect Adobe Analytics directly to LLM Optimizer to measure referral traffic and business impact. This is available to paying customers only.
  • Updated Trial Experience – Updated experience to guide trial customers on the shortest path to value to deploy optimizations across 10 URLs for 1 type of opportunity. Other opportunities are now blurred and available for paying customers.
  • Notifications – Added in-app bell notification to alert users when optimizations are live.
Bug-fixes
Date
2026-03-14
Features
  • CDN Configuration Redesign – Redesigned CDN onboarding into a modular task-card layout (AI Traffic Insights, Deploy Optimizations, Bot Blocker Status) with support for staging and production environments.
  • Brand Presence Enhancements – Added multi-select topic filtering with aggregated insights, introduced a gated User Intent column, and improved Share of Voice filtering with “Configured brands only” toggle.
  • Regional & Platform Support – Added UAE (AE) and Kuwait (KW) region support
Bug-fixes
Date
2026-03-06
Features
  • Overview Progress Banner – Added a 5-step onboarding banner (CDN setup, GSC connection, prompts, opportunity review, deploy optimizations) with completion tracking, progress bar, and guided step flow on the Overview page.
  • Google Search Console Prompt Table Redesign – Redesigned tables with checkbox selection and bulk “Add selection” / “Ignore selection” actions for improved usability.
  • LLM Optimizer Icon in Adobe Experience Cloud – Added a new icon for LLM Optimizer on the Experience Cloud Home page to easily log into to LLMO (for paid customers only)
Bug-fixes
Date
2026-03-03
Features
  • Market Expansion (Hong Kong) – Hong Kong (HK) has been added to the country code map for market selection in Customer Configuration UI.
  • Unified Popularity Model Support – Both AI and human prompts now use LLM-based popularity estimation. Added tooltips for improved clarity in the Brand Presence dashboard.
  • Markdown Filter Support – Added .md content type filtering with improved URL extension detection in the Agentic Insights dashboard.
  • Tooltip Enhancements – Truncated names and column headers now display full text on hover.
Bug-fixes
Date
2026-02-21
Features
  • LLMO University – A new LLMO University page is now available, providing a curated video library to help users learn LLM Optimizer features and GEO best practices. Users can browse, search, and watch educational videos through a responsive video grid with topic filtering and integrated YouTube playback.
  • Citation Readability Banner - The Overview page now includes a Citation Readability banner that shows how readable your site’s content is for AI models. The banner has a direct call-to-action guiding users to the Recover Content Visibility opportunity to improve performance.
  • Opportunity Suggestions Improvements - Several enhancements have been made to improve clarity and actionability within Opportunities.
    • Summarization suggestions are now consistently ordered to show Summary first, followed by Key Points, then other suggestions.
    • FAQ optimization suggestions are now selectable. Instead of disabled checkboxes, users will see an informational message explaining that these fixes must be applied at the source.
    • Wikipedia analysis maintenance warnings now display correctly with proper tags and formatting.
    • URLs with deployed optimizations now show an Optimized checkmark in the LLM Visibility column instead of the previous citability score, making optimization status clearer at a glance.
Bug-fixes
  • Fixed an issue in URL Inspector where the Market column could disappear when a market filter was applied.
  • Fixed an infinite refresh loop in Referral Traffic dashboard tabs when the browser zoom level was set to 110%.
  • Fixed a visual flash/blink in the CDN Configuration panel while loading deployment optimization states.
Date
2026-02-16
Features
  • Google Search Console Integration – Now Generally Available – Customers can now connect Adobe LLM Optimizer directly to their Google Search Console account. The integration surfaces suggested prompts based on actual search queries, allowing users to review and add high-value prompts directly to their configuration.
  • Ignore Suggested Prompts from Google Search Console – Users can now mark Google Search Console–suggested prompts as Ignored to keep their workspace clean and focused. Ignored prompts are hidden after saving and can be managed as needed.
  • Global (WW) Region Support Update – We no longer support the Global (WW) region for prompts and categories. Moving forward, any configuration previously set to the Global region will automatically default to the US region. This ensures a more consistent and streamlined regional setup across customer configurations.
  • S3 Credential Rotation for CDN Log Forwarding - Customers using Fastly or Akamai CDN can now rotate S3 access credentials directly from Customer Configuration, helping maintain secure log forwarding and uninterrupted data ingestion. While not required, regular credential rotation is a highly recommended security practice that reduces risk if credentials are ever exposed and helps maintain a strong security baseline.
Bug-fixes
  • Fixed an issue in URL Inspector where selected filter values (Channel, Market, Category) were not being applied correctly to cited domains data.
  • Fixed an issue in Brand Presence dashboard where the Market badge was being cut off in flex containers (for example, within the Popularity Rationale popover).
  • Resolved a stack overflow error on the Overview page affecting sites with large Brand Presence datasets.
Date
2026-02-07
Features
  • Weekly Email Digest with Key Metrics – Users can now receive a weekly email summary highlighting key LLM Optimizer metrics to stay on top of brand visibility trends. This digest is optional and can be turned off at any time from the Settings section.
  • In-Product Bite-Sized Video Tutorials – Added short, contextual videos across the product to help users quickly understand and get more value from specific capabilities without leaving their workflow.
  • UI Terminology Update: “Region” → “Market” – Updated terminology across the UI to replace Region with Market for clearer alignment with how customers analyze and compare performance.
  • Automatic CDN Configuration Checks – When configuring a new CDN provider, LLM Optimizer verifies whether access to a brand’s published pages is being blocked and provides guided recommendations to help resolve the issue.
  • Smarter Device Type Filtering for LLM Referral Traffic – Device filters now dynamically adjust based on available data, preventing selection of unsupported device types and reducing the likelihood of empty dashboards.
  • Contextual Help Tooltips for Referral Traffic – Added inline help tooltips across referral traffic tabs to provide quick explanations and improve discoverability of key insights.
  • New Wikipedia Analysis Experience (Offsite Optimization) – Introduced a dedicated UI for the offsite opportunity “LLM Discoverability: Improve Wikipedia Presence,” helping brands identify gaps in Wikipedia coverage and strengthen offsite visibility in AI-generated responses.
    The experience includes key statistics and an overview, along with Article Details, Market Comparison, and Suggestions & Guidance tabs to drive actionable improvements.
  • Basic Access Control (Paid Customers Only) – LLM Optimizer now supports basic access control using IMS user profiles.
    This capability is available to paying customers only, can be enabled upon request, and is not included in the try-before-you-buy experience.
Bug-fixes
Date
2026-01-23
Features
  • Taiwan Region Support for Categories – Categories now support Taiwan as a selectable region, expanding coverage for region-specific analysis and insights.
  • AI-Generated Content for LLM-Friendly Summaries Opportunity - The Add LLM-Friendly Summaries opportunity now includes AI-generated summary suggestions that users can review and edit as needed, making it faster to apply recommended content improvements.
  • In-Product “What’s New” Dialog – A new “What’s New” dialog now appears whenever release notes are published, ensuring users are notified of newly added capabilities.
  • Improved Custom Week Selection – Custom week selection has been updated to a multi-select picker, making date selection easier and more manageable as historical data coverage expands.
Bug-fixes
Date
2026-01-06
Features
  • Prompt Library Download Now Available – Customers can now download a curated Prompt Library directly from the Customer Configuration page to help them quickly get started with prompts and topics. This library was created through extensive research with industry experts and analysis of AI search behavior across 6,000+ customers.
  • URL-Level Optimization Opportunities – URL Inspector adds visual indicators to surface URLs with optimization opportunities, while the URL Details dialog provides deeper insights into the specific opportunities identified for each page.
  • Enhanced “Other BYOCDN” Onboarding – CDN onboarding has been expanded to support any customer CDN configuration, ensuring broader compatibility and a more seamless onboarding experience.
  • Execution Counts in URL Details – Users can now view execution counts for both topics and prompts in the URL Details dialog, providing clearer insights for prompt performance analysis.
  • Unique Agents in Agentic Traffic Insights – A new Unique Agents column has been added to the User Agent Analysis table, displaying agent counts and names via popovers for greater transparency into which agents are accessing URLs.
  • Google AI Mode Support in Germany – Brand Presence tracking now includes support for Google AI Mode in Germany.
  • Enhanced Brand Presence Export – The Brand Presence Data Insights export now includes trend data for Visibility Score, Mentions, and Owned Citations to enable deeper longitudinal analysis.
  • Topic Rationale Popovers Added – New Topic Rationale popovers explain why topics are popular or categorized in specific ways, helping customers better understand the insights and the reasoning behind them.
Bug-fixes
Date
2025-12-15
Features
  • A new insight – Cited Domains – is now available in URL Inspector. Cited Domains roll up citations from individual URLs to the domain level, helping you identify which external domains most influence your brand narrative.
Bug-fixes
Date
2025-12-03
Features
  • A new insight—Citation Attempts—is now available for owned URLs, showing when LLMs fetch your pages as potential sources for answers. Cited Attempts excludes traffic from training bots and counts traffic from research and chatbots only. While not all attempts lead to citations, they indicate that LLMs are actively considering your content during response generation.
  • Agentic Traffic can now be filtered by two additional agent types – Media fetchers and Action Agents. Action Agent hits indicate that an AI agent attempted to fetch and use your content to perform a task and Media fetchers are a type of Agentic User Agent that retrieve media assets (images, icons, previews), generating Media Impressions. They indicate that AI systems are evaluating or using your visual content—often for cards, previews, or multimodal answer surfaces—even if they haven't fully crawled or cited the page.
  • Total prompt executions are now shown in the URL details dialog, with aggregate execution counts also available at the Topics level.
Bug-fixes
Date
2025-12-01
Features
  • Customer Configuration now includes full timestamps and user attribution across all entries, providing a complete and trustworthy audit trail of changes.
  • Users can now edit existing categories and brand aliases for greater flexibility and configuration accuracy.
  • Visual change indicators (blue dots) appear in the UI to highlight newly added or modified prompts, categories, brand aliases, and other brands, with corresponding alerts available in the bell icon.
  • Other brands configured in Customer Configuration can now be selected in the Market Comparison chart within Brand Presence, in addition to the suggested competitor brands.
  • A new LLM Readability column has been added to URL Performance Analysis (in the Agentic Traffic view) to show how much page content is visible to bots and LLM agents.
Bug-fixes
Date
2025-11-24
Features
  • A new Overview page is now available to view high-level insights at a glance. Users can also jump into specific views directly from this page. This Overview page can be shared as well as exported to PDF.
  • Customer Configuration now displays all prompts (user added and generated during onboarding) as the centralized place to track Topics and prompts.
  • Aggregated number of prompt executions are now displayed at a Topics level, providing a clearer view of which topics are executed most frequently.
  • Multiple enhancements were made to improve accessibility.
Bug-fixes
Date
2025-11-14
Features
  • Improved login experience - an in-app IMS Org selector is now available for easy switching.
  • Automated refresh on customer configuration UI to display generated categories during onboarding
  • Added Topics counts in Topics Filter and Prompts count for each Topics in Data Insights Table in Brand Presence. Agentic Traffic Insights – Global Trend view now visible in the Agentic Traffic Trend chart. Brands can compare their traffic with global trends.
  • User Agent filter added to enable deeper analysis of traffic sources.
  • Clearer insights into the unique agents hitting each URL available in exported results.
Bug-fixes
  • Fixed mobile rendering issues where charts could disappear.
  • Fixed platform-specific query caching to prevent incorrect execution data when switching between LLM platforms.
Date
2025-10-30
Features
  • Brand Presence – AI generated prompts now available. These will be generated during the onboarding of a site. For those who have already onboarded, these prompts will be generated during the next execution cycle.
  • Agentic Traffic Insights – Global Trend view now visible in the Agentic Traffic Trend chart. Brands can compare their traffic with global trends.
  • Customer Configuration - Users can now map exact URLs or URL prefixes when creating categories.
Bug-fixes
  • Fixed encoding issues in CSV import and export for prompts to ensure full character support
Date
2025-10-14
Features
  • General Availability -We are excited to announce the general availability of Adobe LLM Optimizer to help brands understand and improve their visibility in AI-powered search.
  • Brand Presence – Track how your brand shows up across LLMs with insights into mentions, citation, sentiment, and share of voice across categories, topics, and prompts.
  • Agentic & Referral Traffic Insights – Understand how LLMs interact and access your content and how citations drive real user visits to your site.
  • URL Inspector – Analyze how your pages are performing in AI-driven search and gain visibility into how 3rd-party pages compete for citations.
  • Optimization Opportunities – Discover optimization opportunities with prescriptive recommendations to boost your brand’s visibility.
  • Collaboration – Invite teammates to explore insights together and export insights as CSV for deeper analysis.
Bug-fixes