Every update to ChatGPT, Gemini, Perplexity, Copilot and Google Search can change how your brand appears in AI-generated answers. We track release notes, API changes and documentation updates across major LLM platforms so you don't have to.
Copilot Chat model selector now offers GPT-5.2
[Android, Windows, iOS, Mac, Web]
Choose GPT-5.2 in Copilot Chat for faster responses or deeper reasoning, improving accuracy and clarity.
Details:
What changed:
The model selector in Copilot Chat now includes GPT-5.2. Users can pick Quick Response for immediate answers or Think Deeper for more thorough reasoning. GPT-5.2 delivers better instruction following, improved math and coding performance, and clearer explanations compared to previous models.
Why:
This update provides more flexibility and precision, helping users handle both simple and complex tasks with adaptive reasoning.
Try this:
Select More in the model selector and choose Quick Response for quick answers.
Choose Think Deeper when you need detailed reasoning for complex queries.
Why this matters:
Business impact:
Enhances productivity by offering tailored response modes for different workflows.
Personal impact:
Gives individuals control over response depth, improving efficiency and clarity.
Additional resources:
Blogs:
Available today: GPT-5.2 in Microsoft 365 Copilot
Brand Impact
Microsoft has added a new GPT-5.2 option to Copilot Chat that lets users choose between fast, quick answers or deeper, more detailed reasoning for complex questions. This more powerful AI model is better at following instructions, solving math and coding problems, and explaining things clearly. Brands whose products or services require detailed explanations, technical accuracy, or complex problem-solving—such as enterprise software, financial services, or educational tools—may see increased visibility when users opt for the "Think Deeper" mode, as the improved reasoning could surface more relevant and nuanced recommendations.
We’re updating GPT-5.2 Instant’s default personality to be more conversational and better at adapting its tone contextually, making exchanges feel smoother and more natural. You can still select a different base style and tone for ChatGPT, along with tuning characteristics like warmth and emoji use, within the Personalization menu in settings.
When reference chat history is enabled, ChatGPT can now more reliably find specific details from your past chats when you ask. Any past chat used to answer your question now appears as a source so you can open and review the original context.This memory improvement is now available for Plus and Pro users globally.
GPT-5 powers Copilot Chat by default
[Android, Windows, iOS, Mac, Web]
Copilot Chat delivers faster, smarter results using GPT-5 as the default model.
Details:
What Changed:
All Copilot Chat experiences run on GPT-5 by default. Copilot automatically routes prompts to the best-performing models for each task, using fast models for basic tasks and specialized reasoning models for multi-step requests.
Why:
Users want speed, accuracy, and minimal friction. This update helps to ensure consistent, high-quality AI interactions in Copilot Chat.
Try This:
“Get me up to speed on the latest plans related to [project/initiative]. Help me think through what to do next.”
“Use the attached spreadsheet with customer feedback to create a polished executive report that helps upper management decide where to prioritize resources in our next cycle.”
Why this matters:
Business Impact:
Increases accuracy and productivity, helping teams make strong decisions and complete complex work faster.
Personal Impact:
Removes friction by letting Copilot choose the best model--fast or reasoning--for the prompt.
Additional resources:
Blogs:
Available today: GPT-5 in Microsoft 365 Copilot
Brand Impact
Microsoft has upgraded Copilot Chat to use GPT-5 as its default AI model across all devices and platforms, making it faster and more capable at understanding complex requests. This means Copilot will now deliver more accurate recommendations and insights when users ask it to analyze data, summarize information, or help with business decisions. Brands and products that integrate with Microsoft 365 could see increased visibility if they're frequently referenced in workplace documents, spreadsheets, and communications that users ask Copilot to analyze or summarize.
This week Perplexity added GPT-5.2 and Seedream 4.5 for Pro/Max, made answers link you straight to websites, improved Finance charts, and launched a Patents page.
Brand Impact
Perplexity has integrated more advanced AI models and added direct website linking to their search results, making research faster and more transparent. These upgrades could potentially improve the platform's ability to provide more precise, source-verified recommendations for professionals in fields like finance, technology, and research.
This week Perplexity launched Memory, a more conversational UI, Instant Buy with PayPal, Virtual Try On, upgraded Finance charts and watchlist briefing, new Pro and Max models, and a global partnership with Cristiano Ronaldo including a dedicated CR7 hub.
Brand Impact
Perplexity has significantly upgraded its AI platform with new features like Memory (which likely improves conversation continuity) and added personalization options like a Virtual Try On experience. These updates could mean users receive more tailored, contextually relevant brand and product recommendations across different domains like finance, shopping, and entertainment, potentially increasing visibility for brands that align closely with user interests and engagement patterns.
Shopping research is a new interactive experience that helps you find the right products without doing all the research yourself. Describe what you need—like a quiet cordless vacuum for a small apartment, a gift for a four‑year‑old who loves art, or a way to choose between three bikes—and ChatGPT will ask clarifying questions, research deeply across the internet, review quality sources, and build on ChatGPT’s understanding of you from past conversations and memory to return a personalized buyer’s guide with options, tradeoffs, and links to buy.
ChatGPT learns what you like through an interactive interface allowing you to guide the research based on your real-time feedback.
Shopping research is available on ChatGPT Web, iOS, and Android for logged‑in Free, Go, Plus, and Pro users. To help with holiday shopping, we’re making usage nearly unlimited across plans through the season. To learn more, visit theblog.
Brand Impact
ChatGPT now has a built-in shopping assistant that asks you questions about what you need, researches products across the internet, and gives you personalized recommendations with buying links—all without leaving the app.
This significantly boosts visibility for brands that rank well in quality reviews and mainstream sources, since ChatGPT's recommendations will favor established, well-documented products. Smaller or niche brands risk being overlooked unless they have strong online reviews and media coverage, because the AI prioritizes trustworthy information sources when building its buyer's guides.
Gemini 3, our most intelligent model yet, is available to everyone in the appWhat:Gemini 3 Pro is rolling out to everyone in the Gemini app starting today, with higher limits for users in the Google AI Plus, Pro and Ultra plans. It brings state-of-the-art reasoning to your most complex problems, and is our best vibe coding model yet. It can also reason across text, images, audio and video better than ever before. So whether you're uploading a video of you playing a sport to get advice on how to improve your form, or transcribing notes from a lecture that you missed, the Gemini app can help without missing a beat.Starting from your first use, you'll also notice that responses are more helpful, better formatted and more concise.Try Gemini 3 Pro by selecting 'Thinking' in the model drop-down.Why:We want to make Gemini the most helpful AI assistant for everyone. With the advanced reasoning of Gemini 3 Pro, you can now tackle your most ambitious projects with greater confidence and efficiency.Introducing visual layout and dynamic view in Gemini LabsWhat:We're introducing two new experimental Labs features in the Gemini app: visual layout and dynamic view. Powered by Gemini 3 and new advances from Google Research, these features make your responses more engaging and interactive.Visual layout uses multimodal capabilities to move beyond text, generating a visually immersive response with photos and interactive modules. These elements solicit your feedback and help you further customise Gemini's response across multiple turns. Try asking Gemini to 'plan a three-day trip to Rome next summer', and you'll get a visual itinerary that you can actually explore and customise based on what interests you.Dynamic view takes this a step further using agentic coding capabilities. Gemini will design and code a unique experience with a user interface that's perfect for your specific prompt. For example, ask Gemini to 'explain the Van Gogh Gallery with live context for each piece' and you'
Brand Impact
Gemini 3 Pro, Google's most capable model to date, is rolling out to every user of the Gemini app, with higher rate limits for paid Google AI Plus/Pro/Ultra subscribers. A flagship-model swap in a major consumer answer surface can meaningfully reshuffle which brands get cited for "best X," comparisons, and product recommendations. All visibility benchmarks on the Gemini app should be re-run against the new model.
This week at Perplexity, we launched major Comet Assistant upgrades for faster, more accurate answers, added enhanced privacy controls with a new Snapshot widget, and rolled out real-time Flight Status on iOS.
Brand Impact
Perplexity has upgraded its AI assistant with faster, more accurate answers and new privacy features like a Snapshot widget. These improvements could mean users receive more precise, contextually relevant recommendations across different topics, potentially boosting visibility for brands that provide clear, authoritative information.
We’re introducing Instant Checkout in ChatGPT and the Agentic Commerce Protocol that powers it, built with Stripe.
ChatGPT can help you find anything on the web and now with Instant Checkout, you can seamlessly buy directly from the merchant, right in chat. Starting today, U.S. ChatGPT Plus, Pro, and Free users can buy directly from U.S. Etsy sellers through ChatGPT, with over 1 million Shopify merchants, like Glossier, SKIMS, Spanx and Vuori, coming soon.
Instant Checkout
Instant Checkout makes it easy to go from chat to checkout in just a few taps.
Ask ChatGPT a shopping question and it finds organic, unsponsored product results from across the web.Choose an item and ChatGPT shows where to buy, ranking merchants by factors like inventory, price, quality, primary seller status, and Instant Checkout availability.If Instant Checkout is offered, tap Buy, confirm shipping and payment details, and pay in one tap with your card on file or other express pay options.If Instant Checkout isn’t available, ChatGPT provides a direct link so you can purchase from the merchant’s site.
You’re in control at all times and give explicit confirmation to purchase. Payment goes directly from you to the merchant, not through OpenAI.Learn more about Instant Checkout.
Agentic Commerce Protocol
The Agentic Commerce Protocol (ACP) gives merchants and developers a way to build agentic commerce experiences that work with their current systems and connect them with 700M+ weekly active users on ChatGPT.
If you’re a merchant and want to add Instant Checkout in ChatGPT, apply on ourmerchant page.We’ll be accepting and onboarding merchants on a rolling basis.
Developers can start exploring the Agentic Commerce Protocoldocumentationand example implementations onGitHub.
Brand Impact
ChatGPT can now help users buy products directly within the chat interface, starting with Etsy sellers and soon expanding to over 1 million Shopify merchants like Glossier, SKIMS, and Spanx. Brands that integrate with this new "Instant Checkout" system will get prominent placement when ChatGPT recommends products to shoppers, while merchants who don't participate may be ranked lower or lose visibility entirely. This creates a significant advantage for major retailers and early adopters, as ChatGPT essentially becomes a shopping channel that prioritizes merchants offering seamless in-chat purchasing.
We’ve made further improvements to search in ChatGPT, making results more accurate, reliable, and useful.
Factuality:Fewer hallucinations, improving answer quality.Shopping:Search is better at detecting shopping intent, showing products when you want them and keeping results focused when you don’t.Formatting: Answers are better formatted for quick understanding without losing detail or quality.
Brand Impact
ChatGPT's search feature now gives more accurate, real-time answers with fewer made-up facts, and it better understands when you're actually looking to buy something versus just seeking information. This means shopping-related queries will show product recommendations more prominently, while non-shopping questions stay focused on informational results. Brands with strong online presence and accurate product information will likely gain visibility, while those with poor search optimization or limited e-commerce integration may see reduced recommendation traffic.
Personalize interactions with Copilot Memory
[Android, iOS, Web]
Copilot Memory leverages insights inferred from conversations between the user and Copilot, along with data from the Microsoft Graph and custom instructions to provide personalized help for tasks. Users have full control and can view, manage, disable or clear memory at any time.
Learn more.
Brand Impact
Microsoft's Copilot now remembers details about individual users from their past conversations and Microsoft account data to give more personalized responses. This means the AI can tailor its recommendations and suggestions based on what it knows about each person's preferences, work style, and history. Brands and products that align with a user's demonstrated interests and behavior patterns will likely receive more visibility in Copilot's recommendations, while those misaligned with the user's profile may appear less frequently.
GPT-5 now available in Copilot Chat
Unlock advanced reasoning in Copilot Chat with GPT-5, offering dynamic model switching to address both simple and complex queries. Seamlessly obtain fast answers or dive deep into data analysis for tasks like summarizing RFPs or evaluating detailed proposals. Empower your productivity with intelligent, context-aware solutions tailored to your needs.
Learn more.
Brand Impact
Microsoft has upgraded Copilot Chat to use GPT-5, a more advanced AI model that can now handle both quick, simple questions and complex analytical tasks like analyzing detailed business documents. This upgrade means brands and products mentioned in workplace documents—RFPs, proposals, and data files—are more likely to be recommended or featured prominently, since the AI can now better understand context and relationships within those materials. Companies whose products appear in detailed business evaluations or proposals will benefit from improved visibility, while less-documented or smaller competitors may become harder for users to discover through the platform.
Researcher
available in GA
[Windows, Mac, Web]
The
Researcher
agent is pre-installed in Copilot Chat for all worldwide users. Find it in the left navigation pane alongside other agents, giving you quick access to research tools as part of the Copilot Premium license.
Learn more.
Brand Impact
Microsoft has made a research tool called "Researcher" permanently available to all Copilot users worldwide, built directly into the chat interface so people can access it instantly without extra steps.
This could increase visibility for brands and products that appear in web search results, since Researcher pulls information from online sources to answer user questions. Companies that invest in strong search engine optimization and online presence are more likely to be recommended or cited when users ask Copilot to research topics related to their industry.
Copilot in Excel with Python | Reasoning Model Integration (Think Deeper)
[Mac, Windows, Web]
While performing advanced analysis with Copilot in Excel with Python, users can choose the "Think Deeper" mode to get a more elaborate and detailed plan, followed by automatic execution to generate Python code, results, and explanations. This improves performance on complex asks by leveraging the power of the latest AI reasoning models.
Learn more
.
Brand Impact
Microsoft is adding a "Think Deeper" mode to Copilot in Excel that takes more time to analyze complex data problems before generating Python code and results. This deeper analysis capability could favor brands whose products or services have more nuanced, multi-layered value propositions, since the AI will now better understand complex relationships in data. Conversely, simpler products competing on single features or price alone may receive less prominent recommendations when users rely on this more thorough analysis mode.
Switch between Work and Web grounding in Microsoft 365 Copilot Chat
[Android, iOS]
In Outlook mobile apps, you can now toggle between Microsoft 365 Graph (Work) and Web grounding in Microsoft 365 Copilot Chat. Choose the grounding source that best suits your needs for more personalized assistance.
Introducing Gemini 4 Argon: our frontier model for complex tasksWhat:Starting today, Gemini 4 Argon is rolling out globally for Google AI Pro and Ultra subscribers in the Gemini app. 4 Argon is our newest frontier model, built to take your most complex tasks from start to finish. Whether you are analysing a complex financial report, creating a deck from scattered sources or building an interactive 3D model, Argon brings frontier intelligence to your everyday workflow, turning your ideas into outputs you can use.Why:We want to make Gemini the most helpful AI assistant for everyone. With the frontier performance of Gemini 4 Argon, you can now turn your most ambitious ideas into real projects.Code, prototype and build with Google Antigravity in the Gemini macOS appWhat:Google Antigravity is now built into the Gemini macOS app, so go straight from brainstorming in chat to coding apps, building web experiences and prototyping ideas. Spin up a coding agent in Antigravity, approve its plan and head straight back to your Gemini chat. The agent builds and tests the code in the background, notifying you the second that it's ready to review.To get started, click Antigravity at the top of the Gemini app on your Mac. Available in English for personal Google Accounts and eligible work accounts (18+) across all regions where Antigravity is supported.Download the Gemini macOS app atgemini.google/desktop.Why:We want to help you turn ambitious ideas into working code and prototypes faster, right where you already work on your Mac. With Antigravity built into the Gemini app, you get an agentic coding partner that plans, builds and verifies complex code, making it easier to bring your projects to life.An easier way to customise how Gemini works for you and more connected appsWhat:Open the left menu and click Customise to tailor how Gemini responds and connects to your everyday tools in one place. You can discover apps and add skills so that Gemini can tackle your most repetitive tasks,
- **Gemini 4 Argon (`gemini-4-argon`) generally available (GA)** : Released
[Gemini 4 Argon](https://ai.google.dev/gemini-api/docs/models/gemini-4-argon) (`gemini-4-argon`),
our most capable model built for complex coding, agentic, math, and science
tasks.
For API changes, pricing, and migration guidance, see
[What's new in Gemini 4 Argon](https://ai.google.dev/gemini-api/docs/latest-model).
Brand Impact
Gemini 4 Argon is now generally available on the Gemini API as gemini-4-argon, which Google calls its most capable model for complex coding, agentic, maths and science tasks. For brands, a stronger frontier model reasons further and leans harder on clear, trusted public evidence before naming a source - so consistent, verifiable content is what earns a mention, and there is no placement to buy inside a model.
Read our full analysis: https://reconn-ai.com/news/gemini-4-argon-ai-visibility/
Composer predictions, available in beta, suggests your next message based on the conversation in your current Codex thread. After Codex responds, a suggestion may appear in the message box. Press Tab to accept it, then review or edit it before sending. Accepting a suggestion doesn’t send it automatically.
The beta is available to personal ChatGPT Pro users aged 18 and older in all supported regions, in the latest Codex desktop app. It supports local and SSH threads using GPT-6 Astra or GPT-6.1 Sol. Predictions are on by default; turn offShow predictionsin theComposersection ofGeneralsettings. During the beta, generating predictions doesn’t count toward Codex usage limits or consume credits. Messages you send, including accepted predictions, follow normal Codex usage limits and billing.
Read more:Composer predictions in Codex
What
: Added a new page about the
UGC Fresh Data Program
.
Why
: To explain the purpose of the program and help prospective applicants
understand the eligibility criteria and how to participate.
- **Gemini 3.7 Flash deprecation** : [`gemini-3.7-flash`](https://ai.google.dev/gemini-api/docs/whats-new-gemini-3.7) is deprecated and has been replaced by [`gemini-3.8-flash`](https://ai.google.dev/gemini-api/docs/latest-model). It is no longer available to select in Google AI Studio, and API requests to `gemini-3.7-flash` are automatically routed to `gemini-3.8-flash`. Update your model string to `gemini-3.8-flash` and review the [Gemini 3.8 Flash guide](https://ai.google.dev/gemini-api/docs/latest-model).
- **Gemini 3.5 Flash deprecation** : [`gemini-3.5-flash`](https://ai.google.dev/gemini-api/docs/whats-new-gemini-3.5) is deprecated and has been replaced by [`gemini-3.6-flash`](https://ai.google.dev/gemini-api/docs/whats-new-gemini-3.6). It is no longer available to select in Google AI Studio, and API requests to `gemini-3.5-flash` are automatically routed to `gemini-3.6-flash`. Update your model string to `gemini-3.6-flash` (or [`gemini-3.8-flash`](https://ai.google.dev/gemini-api/docs/latest-model)) and review the [Gemini 3.6 Flash guide](https://ai.google.dev/gemini-api/docs/whats-new-gemini-3.6).
- **Deep Research Agent `deep-research-pro-preview-12-2025` deprecation** :
The `deep-research-pro-preview-12-2025` agent is deprecated and will be
[shut down](https://ai.google.dev/gemini-api/docs/deprecations#managed-agents) on **October 23,
2026**.
Migrate your requests to one of the newer [Deep
Research](https://ai.google.dev/gemini-api/docs/deep-research) agent versions:
- [`deep-research-preview-04-2026`](https://ai.google.dev/gemini-api/docs/models/deep-research-preview-04-2026): Designed for speed and efficiency, ideal to be streamed back to a client UI.
- [`deep-research-max-preview-04-2026`](https://ai.google.dev/gemini-api/docs/models/deep-research-max-preview-04-2026): Maximum comprehensiveness for automated context gathering and synthesis.
To migrate, update the `agent` parameter in your `interactions.create`
requests from `deep-re
- **Gemini 3.7 Flash deprecation** : [`gemini-3.7-flash`](https://ai.google.dev/gemini-api/docs/whats-new-gemini-3.7) is deprecated and has been replaced by [`gemini-3.8-flash`](https://ai.google.dev/gemini-api/docs/latest-model). All requests to `gemini-3.7-flash` are automatically routed to `gemini-3.8-flash`. Update your model string to `gemini-3.8-flash` and review the [Gemini 3.8 Flash guide](https://ai.google.dev/gemini-api/docs/latest-model).
- **Gemini 3.5 Flash deprecation** : [`gemini-3.5-flash`](https://ai.google.dev/gemini-api/docs/whats-new-gemini-3.5) is deprecated and has been replaced by [`gemini-3.6-flash`](https://ai.google.dev/gemini-api/docs/whats-new-gemini-3.6). All requests to `gemini-3.5-flash` are automatically routed to `gemini-3.6-flash`. Update your model string to `gemini-3.6-flash` (or [`gemini-3.8-flash`](https://ai.google.dev/gemini-api/docs/latest-model)) and review the [Gemini 3.6 Flash guide](https://ai.google.dev/gemini-api/docs/whats-new-gemini-3.6).
- **Deep Research Agent `deep-research-pro-preview-12-2025` deprecation** :
The `deep-research-pro-preview-12-2025` agent is deprecated and will be
[shut down](https://ai.google.dev/gemini-api/docs/deprecations#managed-agents) on **October 23,
2026**.
Migrate your requests to one of the newer [Deep
Research](https://ai.google.dev/gemini-api/docs/deep-research) agent versions:
- [`deep-research-preview-04-2026`](https://ai.google.dev/gemini-api/docs/models/deep-research-preview-04-2026): Designed for speed and efficiency, ideal to be streamed back to a client UI.
- [`deep-research-max-preview-04-2026`](https://ai.google.dev/gemini-api/docs/models/deep-research-max-preview-04-2026): Maximum comprehensiveness for automated context gathering and synthesis.
To migrate, update the `agent` parameter in your `interactions.create`
requests from `deep-research-pro-preview-12-2025` to
`deep-research-preview-04-2026` (or `deep-research-max-preview-04-2026`).
We’re rolling out faster steering in Codex in the ChatGPT desktop app. When you send a follow-up to steer a running task, Codex can respond to your changes sooner.
Use steering to correct an approach, add missing information, or change direction while Codex works. You can choose whether follow-up messages steer the current run or wait for the next one inSettings → General → Follow-up behavior.
Learn more inUsing Codex with your ChatGPT plan.
- **Gemini 3.7 Flash deprecation** : [`gemini-3.7-flash`](https://ai.google.dev/gemini-api/docs/whats-new-gemini-3.7) is deprecated and has been replaced by [`gemini-3.8-flash`](https://ai.google.dev/gemini-api/docs/whats-new-gemini-3.8). It is no longer available to select in Google AI Studio, and API requests to `gemini-3.7-flash` are automatically routed to `gemini-3.8-flash`. Update your model string to `gemini-3.8-flash` and review the [Gemini 3.8 Flash guide](https://ai.google.dev/gemini-api/docs/whats-new-gemini-3.8).
- **Gemini 3.5 Flash deprecation** : [`gemini-3.5-flash`](https://ai.google.dev/gemini-api/docs/whats-new-gemini-3.5) is deprecated and has been replaced by [`gemini-3.6-flash`](https://ai.google.dev/gemini-api/docs/whats-new-gemini-3.6). It is no longer available to select in Google AI Studio, and API requests to `gemini-3.5-flash` are automatically routed to `gemini-3.6-flash`. Update your model string to `gemini-3.6-flash` (or [`gemini-3.8-flash`](https://ai.google.dev/gemini-api/docs/whats-new-gemini-3.8)) and review the [Gemini 3.6 Flash guide](https://ai.google.dev/gemini-api/docs/whats-new-gemini-3.6).
- **Deep Research Agent `deep-research-pro-preview-12-2025` deprecation** :
The `deep-research-pro-preview-12-2025` agent is deprecated and will be
[shut down](https://ai.google.dev/gemini-api/docs/deprecations#managed-agents) on **October 23,
2026**.
Migrate your requests to one of the newer [Deep
Research](https://ai.google.dev/gemini-api/docs/deep-research) agent versions:
- [`deep-research-preview-04-2026`](https://ai.google.dev/gemini-api/docs/models/deep-research-preview-04-2026): Designed for speed and efficiency, ideal to be streamed back to a client UI.
- [`deep-research-max-preview-04-2026`](https://ai.google.dev/gemini-api/docs/models/deep-research-max-preview-04-2026): Maximum comprehensiveness for automated context gathering and synthesis.
To migrate, update the `agent` parameter in your `interactions.create`
Max and Team plans now include monthly API credits for running your own apps and agents on the Claude Platform. They roll out over a few days. Claim them by linking a Claude Console organization inSettings > Billing(Max) orOrganization settings > Billing(Team). Learn more aboutmonthly API credits for Max and Team plans.
Run ongoing work with Automations, explore interactive visualizations in your thread, use GPT-6.1 Sol and Claude Opus 5.5, create videos with MiniMax H3 and Seedance 2.5, and run Amex-curated business Skills.
- **Gemini Nano Banana 2.1 generally available (GA)** : Released
[Gemini Nano Banana 2.1](https://ai.google.dev/gemini-api/docs/models/gemini-nano-banana-2.1)
(`gemini-nano-banana-2.1`), the latest high-efficiency image generation and
conversational editing model. An update to Nano Banana 2
([`gemini-3.1-flash-image`](https://ai.google.dev/gemini-api/docs/models/gemini-3.1-flash-image)),
it maintains Flash-level speed and cost efficiency while delivering
significant improvements in visual quality, prompt adherence, multi-turn
character consistency, text rendering, and wide and panoramic aspect ratio
generation (`1:4`, `4:1`, `1:8`, `8:1`) across `1K`, `2K`, and `4K`
resolutions.
See the [Image generation guide](https://ai.google.dev/gemini-api/docs/image-generation) to get
started.
- **Deprecation announcement** : The `gemini-3.1-flash-image` model is
deprecated (no shutdown date announced). Migrate to
[`gemini-nano-banana-2.1`](https://ai.google.dev/gemini-api/docs/models/gemini-nano-banana-2.1).
Seamless Search and Chat Integration
[Windows, Web]
Microsoft 365 Chat brings the power of conversational AI directly into Microsoft 365 Copilot Search, enabling users to move effortlessly from finding information to acting on it. Search results become the foundation for contextual chat, allowing you to ask follow-up questions, synthesize insights, and generate content—all in one unified experience. This integration reduces workflow fragmentation, accelerates decision-making, and delivers a more intuitive way to interact with your organization’s knowledge.
Roadmap ID:
512429
Details:
What changed:
Microsoft 365 Copilot Search now embeds conversational AI chat directly within search results. Previously, users had to switch between search and chat tools separately. This update allows follow-up questions, insight synthesis, and content generation based on search context in a unified interface, reducing workflow fragmentation.
Why:
Integrating chat with search streamlines user interaction with organizational knowledge, accelerating decision-making and reducing the need to switch tools.
Try this:
Open Microsoft 365 Copilot Search.
Enter a query and review the search results.
Use the chat pane to ask follow-up questions or generate content based on the results.
Why this matters:
This integration simplifies workflows by combining search and chat, helping users act on information faster.
Business impact:
Teams experience faster decision cycles and less disruption from switching between search and chat applications.
Personal impact:
You save time by accessing search results and conversational AI in one place, reducing task switching.
Regenerate response for alternative answers
[Web]
The Regenerate action lets you quickly get an alternative response to your latest prompt using options like Try Again or Switch Model, helping you explore different answers and improve output quality.
Details:
What changed:
Previously, users had to re-enter prompts to get different responses from Copilot. Now, the Regenerate action provides simple buttons to request alternative answers or switch AI models without starting over. This streamlines refining outputs and exploring variations.
Why:
This change reduces friction when iterating on AI-generated content, enabling faster exploration of ideas and improved response quality.
Try this:
Enter a prompt in Microsoft 365 Copilot Chat.
At the end of Copilot's response, open the "More options" menu.
Select 'Try Again' to get a new response.
Choose 'Switch Model' to see answers from a different AI model.
Why this matters:
Quickly generating alternative responses helps users find the best information or phrasing without repeating input steps.
Business impact:
Teams can iterate on AI-generated content more efficiently, improving decision-making and content creation speed.
Personal impact:
You save time by refining outputs with fewer steps and can explore more options easily.
Edit query string and user identity mapping rules for Copilot connectors
[Windows, Web]
Admins can now edit query string and user identity mapping rules directly in connector settings without opening a support ticket.
Details:
What changed:
Query string parameters and user identity mapping rules are now editable after a connection is created. Admins can update them in the Microsoft 365 admin center under Settings > Search & intelligence > Data sources, then select the connection and edit its configuration. Previously, these values were fixed at connection setup and changing them required support intervention.
Why:
Source systems change, teams re-scope projects, filters need tightening, and identity mappings drift as directory attributes are updated. Locking these rules at setup meant every adjustment became a support request, leaving connections stale or over-scoped in the interim.
Try this:
Go to the Microsoft 365 admin center > Settings > Search & intelligence > Data sources.
Select your connection (for example, Azure DevOps or ServiceNow) and open its configuration.
Update the query string or user identity mapping rule and save.
Confirm the change took effect on the next crawl and spot-check results for an affected user.
Why this matters:
Access scope and content scope are now self-serve. Admins can correct a mis-scoped connection or a broken identity mapping in minutes instead of waiting on a support cycle.
Business impact:
Faster remediation when a connection surfaces content to the wrong audience, fewer support tickets per connection, and configuration that keeps pace with changes in the source system—all of which support access-governance and compliance commitments.
Personal impact:
You fix scoping and permission-mapping issues yourself, on your own schedule, instead of filing a ticket and waiting for someone else to make a change.
Admin Center - detailed report on Everyone except external user permissions
[Web]
The new report provides SharePoint Advanced Management admins complete item-level details of permissions granted to special SharePoint groups: Everyone and Everyone except external users.
Roadmap ID:
561038
Details:
What changed:
The SharePoint Admin Center now includes a detailed report that shows item-level permissions for special SharePoint groups: Everyone and Everyone except external users. Previously, admins had limited visibility into these item-level permissions. This report helps identify exactly which items have these special SharePoint groups as recipients, improving permission auditing and security management.
Why:
Admins need precise visibility into permissions granted to broad groups to manage access risks effectively.
Enhance security compliance
Try this:
Open the SharePoint Admin Center and navigate to Advanced Management > All features > Data access governance reports.
Select the new report 'Sites and files shared via special SharePoint group' and trigger the relevant report.
Export the prepared report and review item-level permission details.
Why this matters:
Detailed permission reports help prevent unauthorized access and support compliance with organizational security policies.
Business impact:
Teams can better manage SharePoint permissions, reducing security risks and simplifying audits.
Personal impact:
Admins save time identifying and resolving permission issues with clearer, item-level insights.
Learn
Get item-level permission details for "Everyone except external users" and "Everyone"
Generate a report on sites and files shared via special SharePoint groups
Create custom skills in Copilot in PowerPoint
[Windows]
Create custom skills in Copilot in PowerPoint for tailored workflows for your specific presentation needs.
Details:
What changed:
Copilot now supports user defined custom skills, allowing users to extend its capabilities with personalized commands and workflows in PowerPoint. Previously, Copilot operated only with built-in skills and predefined functions in PowerPoint. This update enables customization within Microsoft 365 security and compliance standards.
Why:
Users need more flexibility to automate unique presentation tasks and workflows. Custom skills let users:
Enhance productivity by tailoring Copilot to their needs.
Try this:
Open PowerPoint and access the Copilot pane.
Select 'Create custom skill' to define new commands.
Test your custom skill within your presentation workflow.
Why this matters:
Custom skills let users personalize Copilot to match their unique presentation workflows, reducing manual effort.
Business impact:
Teams can standardize and automate specialized presentation tasks, improving consistency and efficiency.
Personal impact:
You save time by automating repetitive tasks and gain more control over Copilot’s assistance.
Reference files saved in SharePoint libraries and OneDrive folders when creating a presentation with Copilot in PowerPoint
[Mac]
You can now reference files saved in SharePoint libraries and OneDrive folders when creating a presentation with Copilot in PowerPoint.
Roadmap ID:
555897
Details:
What changed:
Copilot in PowerPoint can now recognize references to files stored in SharePoint and OneDrive when you mention them in your prompt, such as by file or document name. Previously, these implicit file references were not supported for files stored in these locations. This update makes it easier to use relevant Microsoft 365 content without manually attaching or uploading the file.
Why:
This change makes it easier to create presentations using content you already have in Microsoft 365. You can naturally reference a relevant file in your prompt, and Copilot can use that file as context when creating your presentation.
Try this:
Open PowerPoint and start creating a presentation with Copilot.
In your prompt, reference a file saved in SharePoint or OneDrive by the document name and/or owner of the document.
Ask Copilot to create a presentation using information from that file. For example: “Create a presentation summarizing the key findings from the DOCUMENT NAME.”
Why this matters:
You can bring existing SharePoint and OneDrive content into your presentation workflow more naturally, without first locating the file and manually attaching it.
Business impact:
Teams can create presentations faster by integrating cloud-stored resources without switching apps or manually uploading files.
Personal impact:
You save time locating and incorporating relevant files, reducing friction in presentation creation.
Copilot Analytics - Cowork adoption and impact
[Web]
Deeper insights into Cowork adoption and impact, accessible from Copilot dashboard and Consumption dashboard in the Microsoft 365 services tab. Includes export capability. All metrics can be queried by analysts with the new Consumption query (credit usage data) and through the Person query (Cowork usage data) in advanced insights.
Roadmap ID:
567005
Details:
What changed:
The Consumption dashboard and Copilot dashboard now include expanded metrics on Cowork adoption and its impact. Analysts can export data and use the new Consumption query in advanced insights to explore all metrics. Previously, such detailed analytics and export options were unavailable.
Why:
Providing deeper, exportable insights enables data-driven decisions about AI usage and investment, improving transparency and cost management.
Try this:
Open the Copilot dashboard in Copilot analytics.
Navigate to the Consumption dashboard > Microsoft 365 Services tab to view Cowork metrics.
Use the export option or run the Consumption query or Person query including Cowork usage metrics in advanced insights for detailed analysis.
Why this matters:
Better visibility into AI adoption helps organizations optimize usage and understand its business impact.
Business impact:
Teams gain actionable data to manage AI resource allocation and measure productivity improvements.
Personal impact:
You can analyze Cowork usage trends and costs more effectively, supporting informed decision-making.
Learn:
How to use the Consumption Dashboard in Insights
Upload audio files to ChatGPT to create transcripts, summarize recordings, and ask questions about their contents. You can turn a meeting, interview, or lecture into structured notes or a follow-up email draft. To get started, attach a supported audio file to a conversation and describe what you need.Audio uploads are available with paid ChatGPT subscriptions and workspaces. Availability may vary by workspace settings, region, client version, and model. Transcripts may contain errors, and performance may vary across languages.For more information, see:Uploading files and audio to ChatGPT.
Choose Computer’s effort level, run tasks with GPT-6 Astra, discover reusable Skills, combine cloud and local models with Hybrid compute on Mac, and ask questions in Side Chat.
Finances in ChatGPT is rolling out to Free and Go users in the U.S. on web, iOS, and Android. You can securely connect your financial accounts to find ways to save, understand your spending, and make sense of your investments, with answers grounded in your finances.
Learn more about Finances in ChatGPT.
It’s now easier to bring your notes and documents into ChatGPT on your phone. Capture multiple pages in a row, and ChatGPT automatically combines them into a single PDF, ready to upload to your chat.
To get started, open the camera in ChatGPT, tap the three-dot menu, and select Scan. Rolling out on iOS.
What
: Updated the
using generative AI content guide
with information from the Search Quality Raters guidelines.
Why
: To get our documentation in sync with our presentations we use at our developer events.
We’re introducing Pro 500, a new $500/month plan with the highest included usage of the Pro plans and access to Astra Ultrafast in ChatGPT Work and Codex. Select Ultrafast in the model picker to use a faster service tier for GPT-6 Astra. It uses your included allowance first, then your credit balance after that allowance is used.
Among Pro plans, Ultrafast is available only with Pro 500. Buying credits on Pro 100 or Pro 200 does not unlock it. Pro 500 subscriptions are available through ChatGPT on the web at launch.
Learn more aboutChatGPT Pro tiers.
Codex Cloud lets you start and continue coding tasks from desktop, web, or mobile using reusable environments with your project’s repositories, tools, and dependencies. Each task gets its own isolated workspace, and tasks can continue while your computer is asleep. In managed workspaces, your workspace’s Codex cloud-access settings apply.
To connect repositories and prepare an environment, see:Set up and configure Codex Cloud. For availability and usage, see:Using Codex with your ChatGPT plan.
Turn a conversation into a Page, start from a template, or begin writing directly in Space. Edit the text yourself or ask ChatGPT to revise it, add charts, or create interactive content. Collaborators can work on the same Page and leave comments, with each person using their own ChatGPT.
Pages follow Space’s availability and sharing settings. Sharing a Page does not give other people access to your private chats or memory; information added to the Page is visible to people who can view it.
Site owners and editors on Plus and Pro can selectEdit sitefrom a published Site in a desktop browser to continue editing in ChatGPT, review changes, and publish when ready.
Site owners can also create recurring cloud schedules fromAutomations. These updates are available where Sites is supported. Learn more aboutcreating and managing Sites.
The LLM Changelog is a live, automated tracker that monitors release notes and documentation updates across the largest AI platforms — including OpenAI's ChatGPT, Google's Gemini, Perplexity AI, Microsoft Copilot and Google Search. Changes are crawled daily and presented in a single, searchable feed.
Why AI Platform Changes Matter for Brands
When AI models update their training data, adjust ranking signals or change how they cite sources, the brands and products they recommend can shift overnight. An API change to Gemini or a new feature in ChatGPT can alter which businesses get mentioned in millions of AI-generated responses.
Platforms We Track
We currently monitor ChatGPT release notes, OpenAI developer and model changelogs, Gemini API and app updates, Perplexity product and API changes, Microsoft 365 Copilot release notes, and Google Search Central documentation updates. New sources are added as the AI landscape evolves.
Built by reconnAI
reconnAI tracks how AI systems represent brands in their responses. We monitor mentions, sentiment and citations across ChatGPT, Gemini, Perplexity and more — helping businesses understand and improve their visibility in the age of AI search. Learn more →