Transform information gain into influence with Adobe Brand Visibility

Release Notes

A changelog of the latest updates for Adobe Brand Visibility

Date
2026-10-31
Features

What’s new:

  • Overview
    • A dedicated Getting Started page now brings setup progress and the tutorial library together, replacing the setup banner on Overview, so you can track setup and find tutorials in one place.
  • Prompt Library
    • Tracked CSV imports – Prompt CSV imports now run as a tracked background job for every organization, and previously accepted imports can be recovered, so accepted imports aren’t lost mid-way.
    • Optional categories – Categories are now optional when adding, editing, and importing prompts, so you can add prompts without assigning one first.
  • Prompt Strategy
    • Redesigned Topic intent alignment card – The card now shows minimum-data requirements and more actionable gap assessments, with drilldowns to the prompts behind each result, so you can see why a topic scores the way it does and what to add.
  • Opportunity Workspace
    • Extended experiment reporting – Experiment reports now show progress for automatic measurement extensions, with selectable reports, window-specific results, and PDF export.
    • Improved prompts CSV – You can now download all improved prompts as a CSV from performance reports, so you can review or reuse them outside the app.
    • Impact Measurement for TOC and Summaries – In Opportunity Workspace, the Impact Measurement Engine now measures TOC and Summaries optimizations, tracking citation-rate changes after deployment, so you can see whether those optimizations are improving your AI visibility.
Bug-fixes
  • Fixed AI Visibility showing as a percentage or a share of other models’ scores; it now displays as a 0–100 score with changes in points.
  • Fixed a crash when creating a tag inside Add Prompts in Prompt Library.
  • Multiple localization fixes.
Date
2026-10-24
Features

What’s new:

  • Prompt Library
    • Custom tags for paying customers – Custom tags in Prompt Library are now available to all paying Adobe Brand Visibility customers so you can tag prompts to organize large prompt libraries around your own taxonomy.
  • Opportunity Workspace
    • Experiment completion notifications – In Opportunity Workspace, you’re now notified when an experiment completes, with a link straight to its results, so you don’t have to keep checking back.
Bug-fixes
  • Fixed nested tag hierarchies in Prompt Library CSV files being corrupted by spreadsheet encoding.
  • Fixed URL Inspector using the wrong brand for requests from regional sites that share a hostname.
  • Fixed Summarization opportunities showing incorrect High Potential URL filtering and counts, and removed the display cap on the list. Deployment and rollback limits now count unique URLs.
  • Fixed rolled-back suggestions in Opportunity Workspace incorrectly returning to the Fixed status.
  • Multiple localization fixes.
Date
2026-10-10
Features

What’s new:

  • Brand Claims
    • Search in All Claims – In Brand Claims, search claim text from the All Claims list, with counts, filters, and pagination staying in sync, so you can jump straight to a specific claim.
  • AI Visibility
    • Choose prompts before tracking – When you track a topic in AI Visibility, you can now pick the individual prompts to add instead of adding every prompt automatically, so tracking covers only the prompts you want.
  • Prompt Strategy
    • Safer suggestion actions – On Prompt Strategy suggestion cards, Track all now appears ahead of Dismiss, so you’re less likely to dismiss a suggestion by accident.
  • Prompt Library
    • Clearer background progress – Prompt imports, writes, and deletions now show more reliable status while the work continues in the background, so you can tell whether your changes are still processing or done.
    • Safer prompt deletion – The deletion confirmation now warns that historical data will be permanently removed, and a redesigned feedback card lets you optionally explain why you’re deleting, so you know what you’re giving up before you confirm.
Bug-fixes
Date
2026-10-03
Features

What's new:

  • AI Visibility
    • Explicit monthly snapshots – A month selector replaces rolling date ranges, with month-over-month KPI comparisons and a "Data through" indicator for the current month, so what you select matches how the underlying data is calculated.
  • Agentic Traffic & Referral Traffic
    • Persistent custom date ranges – Custom week selections, including partial weeks, now stay intact across refreshes and shared URLs, so a shared link opens to the exact dates you chose.
  • Opportunities & Opportunity Workspace
    • Clearer optimization checks – In an experiment's URL list, optimized pages now show a green check and pages not confirmed as optimized show an orange warning with the HTTP status code, so you can see which pages still need attention.
Bug-fixes
  • Fixed removed competitors lingering in AI Visibility; they now disappear immediately from Market Comparison and Historical Comparison, with a loading overlay while metrics refresh.
  • Fixed the Agentic Traffic and Referral Traffic dashboards falling back to stale weeks and unexpectedly selecting Custom Weeks instead of using the current available data.
  • Fixed Prompt Strategy crashing entirely when a competitor domain was missing.
  • Fixed Opportunity Workspace content diff previews failing on stale download links; they now report missing source files.
  • Fixed deployed optimizations being labelled "Not Optimized" when their source content changed or Last-Modified headers were missing; they now stay "Optimized" with an explanatory warning.
  • Multiple localization fixes
Date
2026-09-26
Features

What's new:

  • Brand Claims:
    • Report-level feedback – On a Brand Claims report, a claim cluster, or inline from the Top Claims / All Claims lists, you can now rate a claim thumbs-up/down with a comment, so the claims surfaced get more accurate over time.
  • AI Visibility:
    • Persistent model selection – Your chosen AI model now carries across the AI Visibility, Prompt Research, and Competitor Research tabs, so you're not re-selecting it every time you switch views.
    • Root-domain data indicator – In AI Visibility and Monthly Audience, a "Root domain data" badge appears when you've selected a subdomain or subfolder, so you don't mistake root-level numbers for data scoped to your selection.
  • URL Inspector:
    • Multi-model platform filter – The platform filter now supports multi-select with an "All models" view so you can compare citation behavior across models.
    • Platform logos in citation details – Citation detail views show each AI platform's logo instead of a code list, so you can identify a citation's source at a glance.
    • Offsite opportunities from cited URLs – Third-party URLs cited by AI platforms, shown in URL Inspector's citation list, now surface an optimization badge linking to the matching Offsite Opportunity, so you can act on the gap directly instead of tracking it down separately.
  • Agentic Traffic:
    • Meta AI and GitHub Copilot platforms – Both are now selectable in the Agentic Traffic platform filter, so their traffic is attributed correctly instead of folding into an "other" bucket.
  • Prompt Strategy:
    • Optional dismiss reason – When dismissing a suggested prompt in Prompt Suggestions, you can now note why, so future suggestions get better calibrated instead of repeating the same rejected ones.
    • On-demand Search Console refresh – From Prompt Suggestions, pull a fresh GSC data set on demand instead of waiting on the schedule, with an accurate cooldown timer instead of a hardcoded "10 minutes."
  • Prompt Library:
    • Unlimited tag nesting – In the Prompt Library's tag filter and picker (including CSV tag import/export), custom tags now support arbitrarily deep nesting, so your taxonomy isn't capped by the tool's structure.
  • Opportunities & Opportunity Workspace:
    • Add experiment prompts to your library – From an experiment's performance report, promote prompts with a proven citation-rate lift straight into your Prompt Library, so winning prompts get reused instead of staying buried in a one-off report.
    • Cancel an in-progress optimization – From a running geo experiment, cancel it mid-flight with a confirmation dialog showing what gets rolled back, so a bad experiment doesn't have to run to completion before you can stop it.
    • Content Opportunities CSV export – The FAQ, Readability, Summarization, and TOC opportunity sections now export suggestion-level CSV, so you can analyze or share recommendations outside the app.
Bug-fixes
  • Fixed a case where switching organizations could briefly show the wrong organization's data.
  • Fixed the filter popover Apply button rendering off-screen on short/mobile-height windows.
  • Multiple localization fixes
  • Fixed trial-gated opportunity cards showing fully blurred instead of visible-but-locked, so trial customers can see what they'd unlock before upgrading.
  • Tag creation, renaming, and deletion now automatically retry on a transient server hiccup instead of surfacing an error you had to manually retry.
  • Fixed coverage-gap prompt recommendations loading from the wrong data source and showing up empty.
  • Fixed subfolder-tracked brands incorrectly scoping to the parent domain's data, which was overstating or misattributing visibility for product-line-specific brands.
Date
2026-09-19
Features

What's new:

  • Custom Tags in Early Access for paying customers – Custom tags with bulk operations let paying customers organize large prompt libraries around their own taxonomy instead of the tool's default categories.
  • Multi-select platform filter in Agentic and Referral Traffic – Filter by more than one platform at once across both dashboards.
Bug-fixes
  • Fixed Brand Claims localization issues
Date
2026-09-12
Features

What's new:

  • On-demand Brand Claims for trial customers – Trial customers can trigger a Brand Claims run themselves.
  • Source column in Prompt Library CSV exports – Prompt exports now include the underlying source value directly, so customers doing downstream analysis don't have to cross-reference the app to know where a prompt came from.
  • Expanded agentic bot classification – Several newly identified bots are now classified, with "Research" merged into "Chatbots," so agentic traffic reporting attributes visits correctly instead of lumping them into a catch-all bucket.
Bug-fixes
  • Fixed the Market Comparison "Mentioned" column always showing a static count instead of brands with actual mentions — customers were seeing misleading competitor data.
  • Fixed the Overview sentiment chart plotting by prompt count instead of mention count
  • Fixed GSC prompt cards being silently dropped after taxonomy migration — some customers were missing prompts with no indication why
  • Fixed the error-page country filter showing raw codes instead of full country names
  • Fixed sub-path sites re-prompting for CDN/Analytics setup instead of inheriting it from the domain root, and a related stuck-spinner bug
  • Fixed the Brand Presence Citations KPI showing 0 despite valid underlying citations — customers likely assumed their content wasn't being cited at all
  • Fixed the Top URL Performers description always showing a hardcoded count of 10 instead of the real number
Date
2026-09-02
Features

What's new:

  • Brand Claims – Go beyond understanding whether your brand appears in AI-generated responses to uncover what AI systems are actually saying about it. Brand Claims surfaces the perceptions taking shape around your brand, highlights the ones that matter most, and reveals the sources influencing them. From there, you can understand what’s driving the narrative and turn those insights into strategies and opportunities to strengthen how your brand is represented in AI experiences.
Bug-fixes
Date
2026-08-20
Features

What's new:

  • Simplified Mentions and Citations Metrics for Paying Customers – For paying customers, we’ve simplified how Mentions and Citations are measured in Brand Presence. Responses with Mentions is now called Mentions, and Responses with Citations is now called Citations. Metrics that counted each individual mention or citation occurrence within a response have been removed. Mentions and Citations now measure the AI responses in which your brand is mentioned or your domain is cited, aligning with the measurement approach previously used in LLM Optimizer and making these metrics easier to interpret.
Bug-fixes
Date
2026-08-04
Features

What's new:

  • Adobe Brand Visibility is now Generally Available – LLM Optimizer is now Adobe Brand Visibility, bringing together AI visibility measurement, optimization, and impact measurement into a unified enterprise workflow. Existing prompts, workflows, and settings remain available, while new capabilities help you measure, improve, and prove your brand's performance across AI search. Learn more.
    • AI Visibility – Gain an immediate understanding of your brand's presence across AI search using Semrush Enterprise AIO data. Benchmark against other brands in your market, and discover the conversations where your brand is winning or missing from AI-generated responses. Learn more.
    • Self-Service Brand & Domain Onboarding – Configure brands, onboard domains, manage aliases, define markets, and organize brand metadata directly within Adobe Brand Visibility. Paying customers can manage multiple brands and domains, while Trial customers continue to onboard a single domain during trial activation. Learn more.
    • Prompt Strategy – Discover high-impact prompts from multiple data sources—including Semrush, Google Search Console, Synthetic Personas, and Citation Attempts—and add them directly to your Prompt Library. Organize prompts into strategic categories to build comprehensive coverage of the conversations that matter most to your business. Learn more.
    • Brand Presence – Continuously monitor how your brand appears across AI-generated responses using the prompts in your Prompt Library. Paying customers gain richer competitive benchmarking, broader AI platform coverage, market-language analysis, and advanced metrics including Share of Voice, Brand Visibility, and Source Visibility. Learn more.
    • Opportunity Workspace – Organize optimization opportunities into strategies, track deployment progress, and measure the impact of completed optimizations. Create strategies that group related recommendations for your URLs and manage their lifecycle from implementation through measurement. Learn more.
    • Impact Measurement Engine – Measure the effectiveness of Recover Content Visibility (RCV) optimizations by tracking changes in citation rate after deployment. Automatically compare citation performance before and after an optimization to understand whether your changes are improving AI visibility. Learn more.
Bug-fixes
Date
2026-08-01
Features

What's new:

  • Adobe Brand Visibility launches August 3 – LLM Optimizer is becoming Adobe Brand Visibility — the next evolution of AI visibility management. Your existing workflows, prompts, and settings stay exactly as they are.
    • AI Visibility – Get an instant baseline of how your brand shows up across AI search. Spot where competitors are mentioned and you're not, and benchmark against up to 4 brands.
    • Prompt Strategy – A prioritized roadmap of high-impact prompts and topics drawn from Semrush, GSC, Synthetic Personas, and citation data — sent straight to your Prompt Library.
    • Brand Presence, upgraded for Paid plans – Sharper metrics (Share of Voice, Brand Visibility, Source Visibility) and per-aspect sentiment. Broader LLM coverage, including Claude, Grok, and DeepSeek out of the box.
    • Opportunity Workspace – Group work into strategies, assign and track it, and let the Impact Measurement Engine auto-measure results all the way to traffic and revenue.
    • Trial customers will receive access to these ABV capabilities on a limited basis, including up to 50 optimizations.
Bug-fixes
Date
2026-06-05
Features
  • Referral Traffic Insights Enhancements – Referral Traffic charts now provide additional context to help explain changes in traffic trends:
    • Model and platform changes are now visualized directly on referral traffic charts using vertical markers and highlighted date ranges
    • Hover tooltips provide details about the change event and its potential impact on referral traffic patterns
    • Marker added for the May 7 ChatGPT linking update, helping customers correlate referral traffic increases with platform behavior changes
  • Optimize at Edge: Claude Support – Content optimization workflows at the Edge now support Claude models
  • CDN Onboarding Enhancements – Expanded support for AEM as a Cloud Service customers using Fastly - 1-click CDN onboarding now supports domains protected by WAF while using the same host name, simplifying onboarding for customers with more complex CDN and security configurations
Bug-fixes
Date
2026-05-22
Features
  • Preview Mode Enhancements – Locked opportunities now display a preview of the experience, allowing users to better understand available capabilities before access is enabled. Applies across all opportunity types.
  • PDF Export Expansion – PDF export is now available for additional analysis views such as Reddit, YouTube, and Cited Analysis opportunities
  • Prompting Strategy Checklist – New guided setup experience on the Overview page to help customers maximize coverage and insights with a 5-step checklist covering CDN, GSC, Web Analytics, Manual Prompt Upload, and Prompt Suggestions setup
  • Customer Configuration Improvements – Streamlined onboarding and setup workflows:
    • Brand markets are now automatically added when prompts are uploaded via CSV, reducing manual configuration
    • CSV upload flow now includes a preview step, allowing users to review parsed rows before confirmation
    • AWS region selection added for BYO CDN log forwarding, supporting us-east-1, eu-west-1, and ca-central-1 during both onboarding and post-provisioning configuration
Bug-fixes
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