KIMP’s Picks May 8th: Weekly Highlights In Design, Marketing, AI, & More

Every new week, there is a new wave of AI updates. Some start influencing major industries faster than you think. 

One major update you miss makes you feel outdated in your own workplace. One major social media algorithm change you miss and you suddenly find yourself rethinking your social media strategy. 

So, how do you ensure that you do not miss a thing? Scrolling endlessly through social media feeds is a good way to do that, we get it. But is it productive? Here’s a shortcut that does not take away too much of your time – welcome to KIMP’s Picks.

KIMP’s Picks is our weekly recap post that rounds up the latest social media buzz so that you are all caught up without doomscrolling.

Time to get started with KIMP’s Picks, May 8th edition. 

In the Marketing Realm

Google expands its Ads Measurement tools 

Google has announced a major update to its measurement and analytics tools for advertisers to navigate the AI-driven marketing landscape. The company is simplifying how brands manage data, measure campaign impact, and optimize media investments across channels.

A key update includes new features in Data Manager, which will soon offer a visual map view to help marketers track how data flows across platforms like BigQuery, Shopify, HubSpot, Google Ads, and Google Analytics. Google is also making it easier to upgrade existing tags without coding, improving data collection and campaign performance. 

Google is also launching Meridian Studio, a cloud-based platform that helps enterprise teams build and scale marketing mix models faster using richer datasets and automated workflows.

Google refreshes AI Mode and AI Overviews with new features 

Google is rolling out new updates to AI Mode and AI Overviews to make it easier for users to discover websites, creators, and trusted sources directly within AI-powered Search results.

The updates introduce deeper web exploration tools, including recommended articles and follow-up reading suggestions at the end of AI responses. Google is also expanding inline links within AI answers, allowing users to access relevant websites exactly where information appears in the response.

To support publishers, Google will now highlight content from a user’s news subscriptions inside AI Search experiences. The company is also bringing more community-driven content into AI Search. Responses may now include insights from public discussions, creator content, forums, and social platforms, along with names and community labels for added context.

Another update adds website previews on desktop, giving users a quick snapshot of linked pages before clicking through. 

URL structure and how it affects ranking 

URL structure is no longer just a basic SEO best practice. As more users discover content through AI tools like ChatGPT, Perplexity, Claude, and Google AI Overviews, URLs are now influencing how often content is retrieved and cited.

Unlike traditional search engines, AI systems often rely on retrieval-augmented generation (RAG) methods. They break content into chunks, convert them into vectors, and use these signals to decide what to surface. In this process, URLs act as early context clues that help systems understand what a page is about before reading the full content. 

Clean, descriptive URLs improve clarity. A structured path like /seo/url-structure-ai-retrieval signals hierarchy and topic relevance, while random or numeric URLs add ambiguity and reduce interpretability for both machines and users.

This means brands need to treat URL structure as a visibility signal in AI-driven discovery. 

In the Content Marketing Realm 

Managed WordPress hosting may be silently blocking AI crawlers 

A recent technical investigation by Search Engine Land suggests that some managed WordPress hosting setups may be restricting AI crawlers in ways that are not visible through standard SEO tools. 

While traditional metrics like indexing, traffic, and Google Search Console may appear normal, AI citation visibility across platforms like ChatGPT, Claude, Perplexity, and Gemini can vary sharply.

In one case study, AI visibility data showed strong presence in Google AI Mode and Copilot, but near zero citations from Claude and Meta AI. 

The key issue is visibility. These restrictions happen below typical plugin and dashboard layers, making them difficult to detect without manual testing. In some cases, caching still serves pages while fresh crawl attempts are blocked, creating inconsistent access patterns for AI systems.

AI search is reshaping visibility 

AI search is now embedded across platforms like Google, ChatGPT, Gemini, Perplexity, and Claude. Users are no longer only searching through traditional engines. This shift is raising pressure on brands to understand how they appear in AI-generated responses.

The core idea is simple. If your brand is not mentioned in AI answers, you are losing visibility in a growing discovery channel. Strong SEO foundations still matter, but they are no longer enough on their own. Generative Engine Optimization, or GEO, is emerging as an extension of SEO focused on AI visibility. 

The post here from Moz delves into strategies for effective research for brands to start showing up more in AI search. The key takeaway is that SEO and GEO are now tightly connected, and brands that ignore AI visibility risk falling behind in how audiences discover information.

In the Design Realm 

Brand identity built on an understanding of emotional experience 

The post here from The Brand Identity breaks down the brand identity created for Eden’s AI real estate platform, designed with Clay Global, is a strong example of how design shifts when the product moves beyond functional search into emotional experience. Instead of treating AI as the visual centre, the design treats it as an invisible layer that supports human intuition.

A key takeaway is the focus on emotion before interaction. The team started with how home search feels rather than how it functions. That shaped everything from layout decisions to tone, creating a product that prioritises aspiration and clarity over complexity.

Mirinda’s vibrant brand refresh 

Mirinda has launched a new global platform called “Smile Please” alongside a refreshed visual identity designed to create a more emotionally engaging brand experience. The rebrand focuses on using design to trigger instant positivity and recognisable emotional cues.

One of the strongest takeaways is the use of shape psychology. The packaging system is built around semi-circular forms inspired by the curve of a smile, turning a simple emotional expression into a repeatable visual language across products and campaigns.

The redesign also leans into retro-modern aesthetics, combining bold typography, saturated colours, and oversized fruit graphics to create high-impact shelf visibility while still feeling playful and contemporary. The approach balances nostalgia with digital-era energy, a strategy increasingly used to connect with Gen Z audiences.

This rebranding project is a reminder that brands now need to prioritize emotional recognition for effective visual recognition. 

In the AI Realm 

Anthropic x SpaceXAI collaboration is a revolutionary new step 

SpaceXAI has announced a new partnership with Anthropic. This partnership gives the AI company access to Colossus 1, one of the world’s largest AI supercomputers. The system was built at record speed and is designed to handle large-scale AI training, inference, fine-tuning, and high-performance computing workloads.

Colossus 1 operates with more than 220,000 NVIDIA GPUs. Additionally, the infrastructure is built to support frontier AI models, multimodal systems, scientific simulations, and advanced generative AI development at a massive scale.

Anthropic says the additional compute power will help improve performance and capacity for Claude Pro and Claude Max users, as demand for AI services continues to rise.

The partnership also hints at a much larger long-term objective. Anthropic has reportedly expressed interest in collaborating on orbital AI compute infrastructure, exploring space-based computing as a future solution to growing AI energy and cooling demands.

OpenAI announces GPT-5.5 Instant in ChatGPT 

OpenAI has rolled out GPT-5.5 Instant as the new default model for ChatGPT, replacing GPT-5.3 Instant. The update focuses on making ChatGPT faster, more accurate, and more personalized while reducing incorrect or misleading responses.

According to OpenAI, GPT-5.5 Instant delivers 52.5% fewer hallucinated claims in sensitive areas. The company also says the model produces shorter, clearer answers and performs better in reasoning, image understanding, and web-based tasks.

Another major update is improved personalization. ChatGPT can now use context from previous chats, uploaded files, and connected apps like Gmail to deliver more relevant responses.

Perplexity Computer for finance applications 

Perplexity has introduced Computer for Professional Finance, a new version of its AI workspace designed specifically for analysts, investors, and finance teams. The platform combines trusted financial data, automated workflows, and source-backed outputs to streamline research and decision-making.

Teams can connect licensed data sources through MCP connectors, while users without premium terminals can access built-in tools powered by 14 financial data providers. The system also remembers preferred data sources for future tasks.

A major feature is its workflow automation. Finance teams can generate sourcing dashboards, annotated stock charts, memos, and presentations using pre-built workflows across sectors like private equity, real estate, and public markets. Outputs can be delivered as PDFs, dashboards, slides, or interactive web apps.

Google Pomelli introduces Catalog for personalized campaigns 

Google has expanded its experimental AI marketing platform Pomelli with a new feature called Catalog, designed to help small and medium-sized businesses create campaigns at scale. Instead of uploading products one by one, merchants can now submit a product catalog URL and let Pomelli automatically generate branded product images, ad creatives, and social content across their entire inventory.

The platform uses Google’s “Business DNA” system, which scans a company’s website to understand its brand identity, including tone, colors, fonts, and visuals. This allows Pomelli to create consistent marketing assets without requiring manual brand setup.

Catalog is powered by Pomelli’s Photoshoot engine, which creates studio-style product imagery using AI. Businesses can generate lifestyle shots, clean studio photos, and “in-use” visuals without hiring photographers or design teams.

xAI announces Grok 4.3 for better speed and expanded context window 

xAI has officially launched Grok 4.3 on its API platform, positioning it as the company’s fastest and most advanced AI model yet. The update focuses heavily on enterprise performance, long-context processing, and improved agentic capabilities for developers building AI-powered tools and workflows.

According to xAI, Grok 4.3 now leads the Artificial Analysis benchmarks for agentic tool calling and instruction following. The model also ranks highly in enterprise-focused evaluations from Vals AI, particularly in areas like corporate finance and legal reasoning.

Microsoft expands Copilot Cowork with new features 

Microsoft is expanding Copilot Cowork, its AI-powered workplace assistant designed to move beyond chatbots and handle real business tasks autonomously. Initially launched through Microsoft’s Frontier program, Cowork is now gaining new mobile, workflow, and integration capabilities aimed at making AI a more active collaborator at work.

The company says Cowork can already manage workflows like inbox organization, research, document creation, and even website building. Powered by Microsoft’s Work IQ system, the platform understands company data, tools, and workflows to deliver more context-aware execution instead of generic AI responses. 

A major update is the launch of Cowork on iOS and Android, allowing users to delegate tasks on the go while the AI continues working in the background.

Grok’s Imagine Quality Mode for enterprise-level AI image generation 

xAI has introduced Quality Mode for the Grok Imagine API, bringing more realistic visuals, stronger text rendering, and greater creative control to enterprise image generation. The update is for brands, marketers, and developers creating high-quality visual content at scale.

According to xAI, the new model improves photorealism, lighting, textures, typography, and consistency across generated images. It can produce everything from cinematic lifestyle shots and product visuals to social media creatives, UI-style graphics, and user-generated content-style imagery.

The company says Quality Mode performs especially well for commercial use cases like ad campaigns, product marketing, brand storytelling, and concept visualization.

Claude can now “dream” and correct its own mistakes 

Anthropic has launched a major upgrade to its Claude Managed Agents platform. This update introduces new capabilities called dreaming, outcomes, and multi-agent orchestration. The update is designed to make AI agents more autonomous, structured, and effective at handling complex real-world tasks.

The biggest addition is “dreaming”, a research preview feature that allows agents to review past sessions, identify patterns, and refine their memory over time. This helps agents improve performance across repeated tasks, surface recurring mistakes, and maintain cleaner, higher-quality long-term memory. Users can choose whether updates are applied automatically or reviewed first.

The “outcomes” feature adds a new way to define success. Finally, Anthropic has also introduced multi-agent orchestration, where a lead agent can break down complex tasks and delegate work to specialist sub-agents running in parallel.

Social Media Feature Updates and Algorithm Changes  

Meta expands AI age detection to enforce teen safety 

Meta is rolling out expanded AI-driven systems to better detect underage users and automatically place teens into safer, age-appropriate experiences across Facebook and Instagram. The update strengthens its long-running Teen Accounts framework, which limits content exposure and restricts who can contact younger users.

The company says it is using advanced AI to identify accounts that may belong to users under 13, even when false birthdates are entered. This includes analyzing profile activity, captions, posts, and contextual signals such as school references or birthday content. Accounts flagged as underage may be removed or required to verify age through official checks.

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Instagram is testing “AI Creator” labels 

With the ever-increasing amount of AI-generated content, Instagram aims to enhance transparency with new “AI Creator” labels. 

This information will appear both on the creator’s profile and their content on Feed, Reels, and Explore page. This helps creators who build content with AI exercise transparency and thus build credibility. 

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A post shared by Instagram’s @Creators (@creators)

To Conclude…

That’s about it for now. What a week, right? To catch up on the latest AI buzz without spending all weekend scrolling through your feeds, stay tuned and we’ll be back in no time with our next set of updates. See you soon.