Changelog — August 2026

We're excited to introduce Geoly v1.42.0 — a clearer monitoring workspace, safer AI workflows, and more dependable collection at scale.

New Features

A unified monitoring workspace

Performance, Verdict, Shopping, Citations, Traffic, and Fanouts now make it easier to understand how your brand appears in AI answers, which competitors are gaining ground, where citations come from, and how your product shelf is changing.

More useful AI evaluation

New competitive context, source evidence, trends, brand marks, and drill-down views turn raw AI answers into findings your team can act on.

A local agent worker

The Geoly agent can run its work locally while using a controlled, metered model gateway. This keeps tool access scoped, usage visible, and failures safer to recover from.

Experience Improvements

• Onboarding now follows progress from setup through first collection, with honest partial/failed states and a visible retry path.
• Filters, sorting, pagination, loading, empty states, and narrow-screen layouts are more consistent across monitoring pages.
• Pricing and AI-credit messaging now align with actual usage and entitlement behavior.

Performance & Reliability

Bounded data windows, shared dispatch budgets, historical backfill safeguards, cache improvements, and stronger timeout/retry handling make large monitoring workloads more predictable without hiding incomplete results.

Thanks

Special thanks to StillNotYet, KoishiVI2035, RIJOYAI, and the reviewers and testers who helped shape this release.

Technical release details: https://github.com/geoly-ai/geoly-app/releases/tag/v1.42.0

We're excited to introduce Geoly v1.41.0! This release makes search, Ads, Shopping, and AI-powered insights feel faster and more dependable as your data grows.

New Features

Search that keeps up with you

Global search now prioritizes your latest input, cancels stale work, and separates follow-up results into focused steps. Safer query limits and clearer login/error states make repeated searching more predictable.

More reliable Ads and Shopping exploration

Improved caching, pagination, totals, and page loading reduce unnecessary waiting when browsing large catalogs. Signed page state keeps results consistent across pages and prevents stale or tampered rows from being mixed into a view.

Experience Improvements

• Faster first loads and page turns across public Ads and Shopping views.
• More consistent brand matching and analytics when names have aliases or spelling variations.
• Clearer retry, timeout, and empty-state behavior when a request cannot complete.

Performance & Reliability

We streamlined high-volume database reads, bounded expensive requests, and strengthened AI/MCP tool timeout recovery. These changes improve responsiveness and protect reliability as monitoring and public datasets scale.

Thanks

Special thanks to @StillNotYet and @KoishiVI2035 for the performance, search, and reliability work in this release.

Technical release details: https://github.com/geoly-ai/geoly-app/releases/tag/v1.41.0

We're excited to introduce Geoly v1.40.0! This release makes public brand intelligence faster, more resilient during data refreshes, and more accurate when extracting brands from AI answers.

Experience Improvements

More Reliable Brand Discovery

Brand extraction now recovers automatically from stalled processing, applies stronger time limits, and restores role and category checks that improve recall without weakening relevance. Versioned extraction records also make future quality improvements safer to validate and roll out.

Clearer AI Analysis Outcomes

Provider request failures are no longer saved as apparently successful empty analyses. AI credentials can also be isolated by workload, improving reliability across different analysis flows.

Performance & Reliability

High-cost public search and brand views now reuse topic-level results more efficiently, align cache lifetimes with the weekly data cadence, and use improved database access paths for visibility, category, and competitor insights. During refresh windows, Geoly can keep serving the last successful published snapshot instead of creating a surge of expensive fallback requests.

Subscription plan changes now generate more dependable internal notifications, helping our team respond to upgrades, downgrades, billing-cycle changes, and price changes with better operational context.

Thanks

Special thanks to @StillNotYet and @RIJOYAI for delivering this release.

Technical release details: https://github.com/geoly-ai/geoly-app/releases/tag/v1.40.0

We're excited to introduce Geoly v1.39.0! This release makes it easier to turn public brand intelligence into active monitoring while improving speed and reliability at scale.

New Features

Monitor a Brand in One Flow

You can now start monitoring directly from a public brand page. Choose an existing brand or create a new one, confirm the setup, and continue straight to the monitoring dashboard. Plan and quota eligibility are shown before submission so there are no late surprises.

Stronger Organization Administration

Organization owners can now rename organizations and manage members from a clearer, safer workflow with accurate seat information and useful retry states.

Experience Improvements

• Source scorecards now explain their metrics in clearer English and Chinese.
• Successful brand imports now switch to the correct default brand before opening the dashboard.
• Monitoring actions are measured end to end, helping us identify and improve incomplete journeys.

Performance & Reliability

Public visibility, trend, competitor, advertising, category, topic, citation, revenue, and shopping views now use a more scalable read foundation with guarded fallbacks. Shopping leaderboards refresh in step with newly published weekly data, search dictionaries are reused more efficiently, citation lookups handle multi-domain brands better, and large Gemini or Google AI responses are processed in safer batches.

Thanks

Special thanks to @StillNotYet for delivering this release.

Technical release details: https://github.com/geoly-ai/geoly-app/releases/tag/v1.39.0

We're excited to introduce Geoly v1.38.0, with faster shopping visibility, clearer estimates, simpler referral codes, and more resilient data refreshes.

New Features

Faster Shopping Visibility

Public brand shopping and shelf insights now narrow down relevant data earlier, reducing unnecessary work against large historical datasets. This strengthens page responsiveness as monitoring coverage continues to grow.

Clearer Traffic and Revenue Estimates

Estimated traffic and revenue now use a precision level that better reflects the underlying model, while observed counts keep their own fact-based display. The result is easier-to-read reporting without a false sense of precision.

Simpler Referral Codes

New referral codes are shorter and use an easier-to-read character set. Codes entered with lowercase letters or extra surrounding spaces are normalized consistently across sign-up and attribution flows.

Experience Improvements

• Page tutorial prompts now auto-appear only once per page, while tutorials remain available from the page header whenever needed.
• Referral attribution is more consistent across email and social registration.
• Public shopping insights perform less repeated database work across related shelf and channel views.

Performance & Reliability

This release prevents one unhealthy refresh scope from holding up healthy data work, adds controlled retry and verification paths, and lays the schema foundation for faster daily topic-brand insights. Together, these changes make large-scale reporting more responsive and easier to recover safely.

Thanks

Special thanks to @StillNotYet for their contribution.

Technical release details: https://github.com/geoly-ai/geoly-app/releases/tag/v1.38.0

We're excited to introduce Geoly v1.37.0, bringing faster brand insights, a shorter path from prompt setup to results, and stronger foundations for safely scaling long-term monitoring data.

New Features

Faster Brand Reports

Public brand pages now load key platform and citation insights far more efficiently. Production measurements reduced major cold-query paths from tens of seconds to roughly one or two seconds, while preserving the same reporting results.

Run New Prompts Right Away

After creating a prompt manually, you can now choose to run it immediately. This makes it easier to move from setup to the first monitoring result without leaving the workflow.

Safer Long-Term Data Growth

Geoly now has a controlled archive and recovery foundation for large historical response content. Verification, audit, and restore safeguards help protect detail availability as monitoring data continues to grow.

Experience Improvements

• Brand perception summaries and drill-down details now follow the same selected reporting window.
• Faster public-brand reads reduce waiting time across platform discovery, citations, and visibility insights.
• Improved conversion analytics helps the team identify friction from brand setup through prompt creation, trials, and payments.

Performance & Reliability

This release adds production-scale query indexes, more targeted database maintenance, bounded archive retrieval, corruption alerts, and recovery tools. Together, these changes improve responsiveness while making data operations safer and easier to verify.

Thanks

Special thanks to @ZJM-XiaoYang-0512 and @StillNotYet for their contributions.

Technical release details: https://github.com/geoly-ai/geoly-app/releases/tag/v1.37.0

We're excited to introduce Geoly v1.36.0, bringing a clearer view of brand visibility across AI and search, faster product discovery, and a more guided experience from first visit to daily analysis.

New Features

A More Complete Brand Overview

The redesigned brand overview puts GEO performance and SEO assets side by side. You can quickly understand visibility by AI platform, see which pages earn AI citations or Google rankings, and explore the supporting page-level details when needed.

Insights Available Through MCP

The new ranking-and-citation MCP capability makes another key Geoly insight available inside connected AI assistants, with consistent snapshots and paginated detail for larger result sets.

Built-in Product Tutorials

Contextual video tutorials now help users learn major Geoly workflows directly on the relevant page. MCP discovery and Ads previews have also been made easier to understand.

Experience Improvements

• First-time visitors can automatically receive the interface language preferred by their browser, while manual language choices remain respected.
• AI Shopping search now follows the selected platform consistently and can surface previously observed products even when they have not appeared recently.
• MCP setup is easier to recover when an authorization link expires, with clearer next steps and faster command copying.
• Brand setup now catches common mistakes such as seller-dashboard links, email addresses, and mistyped domains before they distort monitoring results.

Performance & Reliability

This release substantially reduces unnecessary database work in brand SEO insights, shopping data preparation, and queue monitoring. These changes improve responsiveness while protecting Geoly's data paths as monitored brands and observations continue to grow.

Thanks

Special thanks to @StillNotYet and @KoishiVI2035 for their contributions.

Technical release details: https://github.com/geoly-ai/geoly-app/releases/tag/v1.36.0

We're excited to introduce Geoly v1.35.0! This release connects Google rankings with AI citations, expands cross-platform shopping intelligence, and makes public insights faster and more resilient.

New Features

See Whether Rankings Become AI Citations

Public brand pages now include a dedicated Google AI Overview experience that shows whether top organic rankings are translating into AI citations. See dual exposure, rankings without citations, citations without top rankings, and missed visibility in one view.

You can also identify the domains winning citations instead, open search-level evidence, and review recent citation consistency without mistaking an incomplete collection round for a settled trend.

Compare Shopping Visibility Across AI Platforms

Public shopping rankings can now switch between ChatGPT and Google AI whenever each platform has real shopping observations. Price, seller, and channel details also follow a more consistent comparison standard from the leaderboard through every drill-down.

Richer Evidence in Original Responses

Original response details now bring together sponsored ads, AI citations, organic results, People Also Ask, and related searches. When entering from the ads experience, Geoly takes you directly to the matching creative.

Experience Improvements

• Public brand pages isolate slow or unavailable sections so the rest of the page can continue loading.
• MCP setup guidance now consistently directs users to their MCP client.
• AI Overview collection more safely handles special prompt characters and in-progress data.

Performance & Reliability

A key cold-load search drill-down improved from 22.4 seconds to 525 milliseconds in production validation, while a related query family improved from a 19-second mean to 122 milliseconds. The release also adds bounded processing, safer recovery checkpoints, and stronger index safeguards for growing datasets.

Thanks

Special thanks to @StillNotYet and @KoishiVI2035 for delivering and validating this release.

Technical release details: https://github.com/geoly-ai/geoly-app/releases/tag/v1.35.0

We're excited to introduce Geoly v1.34.0! This release makes the searches behind AI answers easier to understand, improves advertising intelligence, and streamlines MCP setup.

New Features

See What AI Actually Searches

Custom monitoring now reveals the search-query roots generated behind AI answers. Explore coverage gaps, brand presence, topic-level patterns, and the real queries associated with individual prompts—all in a dedicated analysis experience.

The same intelligence is also available through MCP, so teams can bring brand-, topic-, and prompt-level search insights into their AI-assisted workflows.

Easier MCP Installation

The MCP connection experience now includes a one-click, client-aware setup prompt. Copy it to your AI assistant to get guided installation without manually assembling URLs or repeating bundled setup steps.

Experience Improvements

• Public AI advertising rankings now use observed impressions instead of inferred creative counts, producing clearer comparisons across different advertiser types.
• Registration notifications now provide separate country/region, device-language, and timezone signals to support better operational context.
• Search-analysis drill-downs include clearer coverage, mention, source, freshness, and opportunity signals.

Performance & Reliability

Large search and advertising datasets now use more focused database reads, bounded processing, safer concurrent updates, and explicit partial-result indicators. Public advertising pages also avoid unnecessary wide payload reads, substantially reducing cold-load I/O.

Thanks

Special thanks to @StillNotYet for delivering and validating this release.

Technical release details: https://github.com/geoly-ai/geoly-app/releases/tag/v1.34.0

We're excited to introduce Geoly v1.33.0, focused on faster advertising insights and more dependable AI monitoring.

Experience Improvements

Faster advertising insights

Advertising lists, category filters, and pagination now respond much faster on large datasets. Geoly also keeps in-progress collection batches out of cached results, so users see a consistent completed snapshot while new data is arriving.

More dependable monitoring

Platform-aware recovery now keeps different collection workflows isolated, reducing the risk that a delayed task or postback is recovered by the wrong pipeline.

Performance & Reliability

Fallback AI requests now handle stale responses more safely and surface useful diagnostics without exposing provider response content. Additional automated coverage strengthens retries, recovery, redaction, and circuit-breaker transitions.

Thanks

Special thanks to @StillNotYet for this release.

Technical release details: https://github.com/geoly-ai/geoly-app/releases/tag/v1.33.0

We're excited to introduce Geoly v1.32.0 — a major step forward in connected market intelligence, shareable reporting, and reliable AI-assisted workflows.

New Features

Broader AI visibility intelligence

Geoly can now capture and analyze Google AI Overview signals alongside existing AI channels. Public brand, topic, and category experiences also gain consistent 30/60/90-day views, richer source connections, and deeper shopping, advertising, and product comparisons.

Reports that keep working in the background

Brand and category reports now deliver stronger bilingual PDF output with clearer progress, better evidence alignment, and more dependable long-running generation. Exports can continue without keeping users locked to a progress window.

Sidekick across the Geoly experience

Sidekick is now available as a persistent, context-aware assistant across key pages, with improved conversation controls, model options, and safer organization isolation. GEOly Work also gains a more secure browser sign-in and session handoff experience.

More flexible growth and account management

This release expands referral rewards, discount and commission workflows, MCP usage visibility and consent management, and agency billing flexibility for organizations that need to subscribe directly.

Experience Improvements

• More accurate Share of Model comparisons across time ranges and category views.
• Better source, merchant, citation, advertising, and search-term drilldowns.
• Market-aware country and language controls for extension experiences.
• Clearer dashboard navigation, localized copy, and responsive detail layouts.

Performance & Reliability

High-volume public pages now use tighter query plans, bounded concurrency, safer timeouts, and overload fallbacks. Report generation, agent connections, data recovery, and operational rollouts also received extensive safeguards for partial failure and retry scenarios.

Thanks

Special thanks to @StillNotYet, @KoishiVI2035, @ZJM-XiaoYang-0512, and @RIJOYAI. Additional work was contributed under the plain-text identities stillyetnot and KoishiVI.

Technical release details: https://github.com/geoly-ai/geoly-app/releases/tag/v1.32.0