Changelog

The latest improvements and behind-the-scenes updates from the Peec AI team.

Mar 27, 2026

URL Details Page

You can now click into any URL from the Sources page to see the full picture: retrievals over time, citation rate, retrievals by model, which prompts retrieve it, which brands appear alongside it, and the actual chats. All with the same filtering you are used to (date range, model, country, topic).

This was one of our most requested features. Until now, you could only see aggregated data at the domain level. You'd know "reddit.com cites you 50 times" but couldn't see which specific threads drive those citations or how individual URLs trend over time. The URL detail page closes that gap.

Source metrics restructuring

We restructured the metrics in the Sources tables to make them clearer. The old "Used" column was confusing because values could exceed 100%. The new metrics form a funnel: reach, depth, impact.

Retrieved shows the share of chats where a source appeared, always 0 to 100%. Retrieval Rate shows the average number of source appearances per chat as a decimal. Citation Rate shows how often a retrieved source gets explicitly cited.

We also added Citation Rate to the gap analysis view.

Separate Domains and URLs pages

We split the Sources section into dedicated Domains and URLs pages in the sidebar. Previously, URLs were hidden behind a tab that most users never found. Now each view has its own entry point, making it much easier to navigate.

New model selector

Models are now grouped into Active, Inactive, and Available categories. Inactive means deprecated or disabled models that still have historical data. The available models list also shows which models use scraper-based tracking vs API-based tracking.

Improvements
  • Brand initials now show as a placeholder when a brand has no domain icon
  • Usage cards on the Projects page now include a progress bar showing prompts used vs available
  • Tracking frequency and status can now be changed directly from the projects table without opening a separate settings page
  • Suggested prompts tab action column no longer takes up unnecessary space on standard desktop screens
  • Credit column labels and ordering on the Projects page are now clearer and more consistent
  • Color tokens across the app have been aligned with the design system for more visual consistency
Fixes
  • Fixed domain type showing inconsistently between the domain overview and the URL detail page
  • Fixed onboarding getting stuck at the topics step
  • Fixed creating a new project showing an error even when the project was successfully created
  • Fixed suggested prompts incorrectly blocking users from adding prompts when credits were available
  • Fixed brand name not being editable when editing a project
  • Fixed date picker allowing past dates to be selected
  • Fixed language and country filters being coupled and unable to change independently
  • Fixed the prompt limit popover linking to the wrong billing destination depending on credit availability
  • Fixed old column labels appearing in URL detail page exports
  • Fixed the archive page being broken
  • Fixed pricing showing the wrong amount on the upgrade modal

Mar 12, 2026

Credits and Flexible Project Management

Manage your credits and prompts the way your team actually works. On the Projects page, agency users can now choose which AI models each project tracks and how many prompts it gets. Shift resources as priorities change: focus your budget on the projects and models that matter most.

Brands can also now select which AI models they want to track, so you only pay for the coverage that's relevant to your market.

Keyword import for prompt suggestions

Upload a keyword list and we automatically cluster them into topics and generate ready-to-track prompts. New projects get smarter topic and prompt suggestions from the start. We build a profile for your brand so suggestions are tailored to your business. Combined with keyword import, you can go from zero to full coverage in minutes.

API: Share of Voice and advanced filtering

The API now includes Share of Voice as a metric. You can filter results by topics, tags, models, brands, domains, and URLs, giving technical teams more flexibility for custom dashboards and automated workflows.

Timezone picker redesign

Finding and selecting your project's timezone is now simpler, with better usability on smaller screens.

Improvements
  • Redesigned timezone picker with search and grouped common timezones
  • Trial users now see remaining trial days in the UI
  • Improved downgrade flow
  • Better currency detection on sign-up
  • Bulk prompt CSV uploads now support the same prompt text across different country codes
Fixes
  • Fixed prompt suggestions getting stuck in a loading loop
  • Fixed date range picker showing the wrong day when a project has a non-local timezone
  • Fixed timezone picker overflowing in the "Add project details" modal
  • Fixed duplicate pricing plans showing on the billing page for brand accounts
  • Fixed failed chats not being automatically retried
  • Fixed URL deduplication for trailing slashes and URL type variations

Mar 9, 2026

Share of Voice and Improved Prompt Suggestions

One of the most requested metrics since late 2024, Share of Voice (SoV) tells you what slice of the AI conversation your brand owns compared to all the competitors you track. Unlike Visibility, which measures whether you're mentioned at all, SoV counts every mention per response, so a brand referenced five times in one chat scores higher than one referenced once.

We also added sorting by absolute values and trends across all four scores (Visibility, SoV, Sentiment, Position), making it easy to spot which brands moved the most in any direction.

Topic and prompt suggestions now incorporate your full company profile, which means they come out more specific and relevant. The Suggested tab auto-classifies prompts with tags, so you can filter suggestions immediately without manual cleanup.

You can also upload a CSV of your own keywords: we'll cluster them into topics and generate ready-to-activate prompts in minutes, making it a lot faster to get a new project off the ground.

Filter Sources by domain type

On the Sources page, you can now filter the URL list by domain type: owned, earned, UGC, paid, or unknown. This makes it faster to answer the questions that matter most: like how much of your AI visibility comes from your own content versus third-party coverage. Clicking a bar in the domain type chart jumps directly to the filtered URL list.

Actions now show recurring themes and a new Site Crawlability check

Each action card now surfaces the most common themes from the sources behind it. This helps you see at a glance what content topics are driving each recommendation. We also added a new Site Crawlability action: it scans your robots.txt file and flags if major AI crawler bots are blocked.

Much faster for longer time frames

Charts previously struggled with data beyond 30 days. Now you can pull all-time data without issues, and aggregate any chart on a weekly or monthly basis, especially useful if you're on a weekly tracking plan where daily charts looked noisy before.

We also added a bar chart showing the average for the selected time frame on the Overview page.

Shopping fanout queries are now visible

On chat detail pages, you can now see the shopping queries that AI models run behind the scenes to populate product results, particularly interesting for e-commerce brands.

For API users: fanout and shopping fanout queries are now available through our API.

Microsoft Copilot is now trackable

Copilot has been on the roadmap for a while and frequently asked about by customers: it's now fully supported.

Improvements
  • "SoV" label consistency across the product
  • Improved Gemini geographic coverage
Fixes
  • Gemini brand attribution corrected: unrelated brand names before citations were skewing Visibility scores
  • robots.txt Allow rule parsing fixed for accurate Site Crawlability detection

Jan 26, 2026

Gap Analysis and Prompt Topics

Source Gap Analysis shows where competitors appear but you don't, turning competitive intelligence into clear next steps.

Organize large-scale tracking and identify exactly where to improve. Topics let you group prompts by theme and navigate through topic-based views instead of scrolling through long lists.

Fanout queries and chat-level intelligence

See the multiple sub-searches AI platforms perform when answering questions. Fanout query aggregates on Prompt Details show which related searches AI platforms run when they process your prompts.

The terms mentioned reveal which topics and brands are most closely associated with your prompts. The redesigned Chat Details page provides better insights into individual chats.

YouTube transcripts and expanded monitoring

YouTube transcript analysis searches for brand mentions in video content. The "Only" filter provides one-click filtering for models and tags. We expanded to 24 new countries including 5 MENA markets and the Philippines.

Team collaboration and permissions

The Project Viewer role provides read-only access to visibility data. Competitor aliases let you track variations of competitor names under a single profile. Shopping widget indicators show when prompts trigger shopping research in ChatGPT.

Improvements
  • Topic-first prompts navigation with optimized layout
  • Competitor aliases for flexible brand tracking
  • One-click "Only" filtering for models and tags
  • Project Viewer role for read-only stakeholder access
  • Shopping widget indicators in Recent Chats
  • Cleaner URL parameter handling for better aggregation
  • Faster sentiment data loading in Looker Studio
  • Expanded MENA region coverage (UAE, Saudi Arabia, Egypt, Kuwait, Qatar)
  • Better brand editing with click-to-edit functionality
  • Overview toggle between all chats and brand-specific chats
  • Pinned brand positioning at top of brand selector
  • Richer export data with additional metadata fields
Fixes
  • Improved URL normalization reducing false duplicates
  • Better handling of special characters in brand names
  • More accurate fanout query detection and extraction
  • Enhanced stability for high-volume data exports