Weekly News Round-up – AI in Marketing – 5th Jan 2026

Estimated reading time: 11 minutesIn this weekly roundup, we track how rapid advances in AI are reshaping search, media buying, ecommerce and influencer marketing.Use this summary to prioritise where to test, what to measure differently, and how to future‑proof your marketing activity as agentic commerce and AI search move from experimental to mainstream.

Table of Contents

• Shopify: AI-Driven Orders Up 11x Since January
• ChatGPT Launches Instant Checkout: Agentic Commerce Goes Mainstream
• Google Ads Unveils Asset & Channel Reporting for Performance Max
• TikTok Creator Ads Deliver 70% Higher CTR: Influencer Marketing Evolves
• Google Launches Partner Match for YouTube Targeting
• Google AI Overviews Drive 61% Drop in Organic CTR: What Marketers Need to Know
• Meta Expands Creator Partnership Opportunities for Brands
• 2026 Content Strategy: Mentions, Citations, and Clicks Take Centre Stage
• Meta Launches Reels Algorithm Controls for US Users
• ChatGPT Search Update Targets Accuracy and Shopping
• Bing Explains What Matters for AI Search Visibility
• Google Launches “Partner Match” for YouTube Targeting
• Agentic Booking Comes to Google AI Mode
• Gemini 3 Powers Google AI Mode: Multimodal Search Goes Mainstream
• YouTube Dominates AI Search with 200x Citation Advantage
• Conclusion: The Strategic Imperative for AI-Driven Marketing in 2026
• Key Takeaways
• Frequently Asked Questions
• Conclusion

Orders Up 11x Since January

Shopify’s latest data reveals a seismic shift in ecommerce, with AI-driven traffic up 7x and orders surging 11x since the start of the year. This isn’t just a statistical blip—it’s a fundamental change in how consumers discover, evaluate, and purchase products online. Shopify’s president, Harley Finkelstein, highlighted how the platform’s infrastructure is making it easier for merchants to tap into AI-powered shopping conversations, ensuring brands stay relevant as consumer behaviour evolves.For ecommerce brands and retailers, this surge underscores the need to integrate AI tools across the entire customer journey. From personalisation engines and predictive analytics to conversational commerce and agentic shopping assistants, the brands seeing the biggest wins are those leveraging AI to anticipate intent, streamline discovery, and remove friction at checkout. Shopify’s own Sidekick tool exemplifies this trend—empowering merchants to automate customer support, optimise listings, and deliver tailored experiences at scale.For agencies and marketing teams, the message is clear: AI isn’t just a back-office tool, but a front-line driver of growth and competitive differentiation. Leaders must invest in AI-powered automation, ensure their product data is structured for AI discovery, and be ready to adapt to new agentic commerce protocols as they emerge. The brands that move fastest will capture the lion’s share of AI-driven demand, while laggards risk being left behind in a rapidly changing digital marketplace.

ChatGPT Launches Instant Checkout: Agentic Commerce Goes Mainstream

OpenAI’s rollout of Instant Checkout in ChatGPT marks a pivotal moment for agentic commerce. Users can now purchase products directly from US Etsy sellers within ChatGPT, with plans to expand to Shopify merchants and beyond. This move transforms ChatGPT from a research tool into a true commerce destination, blurring the line between search, conversation, and transaction.For marketers and ecommerce leaders, this signals the arrival of a new channel where AI agents drive not just discovery, but conversion. Brands must now optimise for visibility within AI-powered platforms, ensuring their product data, reviews, and offers are structured for seamless agentic transactions. The implications for performance marketing are profound—conversion journeys are collapsing, and the ability to influence AI-driven purchase decisions will become a critical competitive advantage.Agency professionals and CMOs should treat this as a call to action: review your product feeds, invest in conversational commerce integrations, and monitor how your brand is surfaced and recommended by leading AI assistants. As agentic commerce becomes more widespread, the winners will be those who master both the technical and creative levers of AI-driven sales.

Google Ads Unveils Asset & Channel Reporting for Performance Max

Google Ads is finally opening the black box of Performance Max with new asset and channel reporting tools. Marketers can now bulk download performance data, access ROI columns, and run diagnostics to see which creative assets and channels (Search, Display, YouTube, Gmail, Maps, Discover) actually drive conversions. This transparency is a game-changer for campaign optimisation and budget allocation.For hands-on practitioners, the ability to segment performance by device, conversion action, and ad event type means smarter, data-driven decisions. You can now double down on high-performing assets, cut underperformers, and fine-tune campaigns for maximum impact across Google’s ecosystem. For agencies, this unlocks new opportunities to demonstrate value to clients, justify spend, and scale winning creative strategies.For strategic leaders, the move signals Google’s intent to make AI-powered campaign types more accessible and accountable. As Performance Max becomes the default for omnichannel advertising, agencies and brands must upskill teams on asset management, creative testing, and cross-channel attribution. The future of paid media is AI-optimised, but only those who embrace transparency and continuous improvement will stay ahead.

TikTok Creator Ads Deliver 70% Higher CTR: Influencer Marketing Evolves

TikTok’s latest data shows that creator-led ads deliver a 70% higher click-through rate and 159% higher engagement than non-creator ads. When these ads are posted directly to the creator’s account, engagement jumps even further. This isn’t just a win for influencers—it’s a wake-up call for brands and agencies to rethink their approach to paid social.For marketers, the lesson is clear: consumers crave authenticity and real-life recommendations, especially from trusted creators. As TikTok Shop and livestream commerce explode, the most effective campaigns will be those that blend paid media with influencer partnerships, leveraging the creator’s voice to drive both awareness and conversion.Agency leaders should prioritise building long-term relationships with relevant creators, investing in UGC, and testing new ad formats that put personality and storytelling front and centre. The influencer economy is maturing, and brands that treat creators as strategic partners—not just media channels—will see the biggest returns in both reach and revenue.

Google Launches Partner Match for YouTube Targeting

Google’s new Partner Match tool lets advertisers match third-party user data to signed-in YouTube accounts, unlocking powerful new targeting capabilities for Video Reach, Video Views, and Demand Gen campaigns. This global rollout (excluding the UK, Switzerland, and EEA) gives brands the ability to reach highly relevant audience segments with precision.For performance marketers and ecommerce brands, this means more efficient ad spend, higher conversion rates, and the ability to activate first- and third-party data across YouTube’s massive inventory. As video continues to dominate the digital landscape, granular targeting will be the key to cutting through the noise and driving measurable results.Agency professionals should move quickly to integrate Partner Match into their campaign planning, working closely with data partners to build robust audience segments. For CMOs, this is a reminder that data strategy and privacy compliance are now foundational to effective digital advertising. The brands that master data-driven targeting will lead the next wave of video commerce and brand storytelling.

Google AI Overviews Drive 61% Drop in Organic CTR: What Marketers Need to Know

A recent study from SeerInteractive reveals that Google’s AI Overviews are causing a 61% drop in organic click-through rates (CTR) and a 68% drop in paid CTRs for affected queries. Even queries without AI Overviews saw a 41% decline in organic CTR year-over-year, highlighting the profound impact of AI-powered search on traditional traffic sources.For SEO leaders and content marketers, this is a clear signal to evolve beyond the old “blue links” mindset. Success in the AI search era will require optimising for mentions, citations, and structured data that AI models can interpret and surface in answer-rich results. Brands cited in AI Overviews are seeing a significant uplift in both organic and paid clicks, making AI visibility a new battleground for digital share of voice.Agency strategists and CMOs must invest in generative engine optimisation (GEO), entity-based content, and multi-surface visibility tracking. The future of search is fragmented, and the brands that adapt their content, measurement, and reporting frameworks will be best positioned to capture demand wherever it emerges—be it Google, ChatGPT, Gemini, or beyond.

Meta Expands Creator Partnership Opportunities for Brands

Meta has rolled out a suite of updates to its Partnership Ads Hub, including more content types, enhanced performance insights, a new Partnership Ads API, and expanded eligibility for creators. Brands can now convert UGC into partnership ads more easily and access richer data on how these collaborations drive results across Facebook and Instagram.For brand marketers and agencies, this means more scalable, data-driven influencer campaigns and the ability to turn organic creator content into high-performing paid placements. The new API and streamlined permissions process lower the barriers to entry, making it easier for brands of all sizes to activate creator partnerships at scale.For agency leaders, the implication is clear: influencer marketing is becoming a core pillar of the paid social mix, not just an experimental channel. The brands that build robust workflows for sourcing, activating, and measuring creator partnerships—while maintaining brand safety and compliance—will unlock new levels of reach, engagement, and ROI in an increasingly crowded digital landscape.

2026 Content Strategy: Mentions, Citations, and Clicks Take Centre Stage

Search Engine Land’s 2026 content strategy playbook highlights a shift towards generating mentions, citations, and structured visibility signals for AI-powered search. The report recommends prioritising content that earns recognition from generative systems like ChatGPT, Gemini, Claude, and Perplexity, as well as focusing on pricing, cost, and top-of-funnel guides to capture early-stage interest.For content teams and SEO managers, this means moving beyond keyword targeting and link-building to a broader focus on brand authority, entity optimisation, and multi-channel presence. Structured data, expert reviews, and high-quality “how to” content are now critical for being surfaced in AI-generated answers and agentic commerce flows.For strategic marketing leaders, the takeaway is that content must be designed for both human and machine audiences. Invest in content formats and distribution strategies that build trust signals, foster citations, and support seamless integration with AI-powered platforms. The brands that do this well will not only win in AI search, but also future-proof their digital marketing against the next wave of disruption.

Meta Launches Reels Algorithm Controls for US Users

Meta has introduced a “Your Algorithm” tool for Reels, giving US users manual control over their content recommendations. Users can now indicate which topics they want to see more or less of, directly influencing the Reels that appear in their feed. This move reflects a broader trend towards user empowerment and algorithmic transparency across social platforms.For marketers, this means that relevance and engagement are more important than ever. As users curate their own experiences, brands must focus on creating content that resonates with specific interests and communities. The days of one-size-fits-all content are over—success now depends on understanding and adapting to the nuanced preferences of your audience.For agencies and social teams, the update is both a challenge and an opportunity. It’s a challenge because it raises the bar for creativity and personalisation, but also an opportunity to build deeper relationships with followers who actively choose to engage with your brand. Invest in social listening, community management, and agile content production to stay ahead of shifting algorithms and audience expectations.

ChatGPT Search Update Targets Accuracy and Shopping

OpenAI has updated ChatGPT’s search capabilities to reduce hallucinations, better detect shopping intent, and present cleaner, more actionable answers. This positions ChatGPT as an increasingly viable alternative to Google for both research and commerce, especially as Instant Checkout and agentic shopping features roll out to more users.For ecommerce brands and performance marketers, this means optimising product data, reviews, and content for AI-driven discovery and conversion. As ChatGPT and similar platforms gain traction, the ability to influence AI recommendations and capture demand at the point of intent will be a key driver of growth.For agencies and digital strategists, the update highlights the importance of continuous monitoring and adaptation. Track how your brand is surfaced in AI search results, test new content formats, and collaborate with product and data teams to ensure your offerings are AI-ready. The brands that master these new channels will be best positioned to win in the next era of digital commerce.

Bing Explains What Matters for AI Search Visibility

Bing has published new guidance on optimising for AI-powered search, emphasising the importance of high-quality content, citations, impressions, and placement in AI-generated answers. The search giant encourages publishers to focus on building authority through review sites, brand mentions, and structured data, rather than relying solely on traditional SEO tactics.For SEO professionals and content strategists, this is a clear signal to diversify visibility efforts across multiple surfaces and platforms. Success in AI search now depends on a blend of technical optimisation, brand building, and relationship management with key publishers and communities.For agency leaders and CMOs, the takeaway is that measurement and reporting frameworks must evolve to track AI-driven visibility, not just clicks and rankings. Invest in tools and processes that monitor mentions, citations, and share of voice across AI platforms, and prioritise cross-functional collaboration to ensure your brand is discoverable wherever consumers are searching.

Google Launches “Partner Match” for YouTube Targeting

Google’s new “Partner Match” tool allows advertisers to match third-party user data to signed-in YouTube accounts, unlocking powerful new targeting capabilities for Video Reach, Video Views, and Demand Gen campaigns. This global rollout (excluding the UK, Switzerland, and EEA) gives brands the ability to reach highly relevant audience segments with precision.For performance marketers and ecommerce brands, this means more efficient ad spend, higher conversion rates, and the ability to activate first- and third-party data across YouTube’s massive inventory. As video continues to dominate the digital landscape, granular targeting will be the key to cutting through the noise and driving measurable results.Agency professionals should move quickly to integrate Partner Match into their campaign planning, working closely with data partners to build robust audience segments. For CMOs, this is a reminder that data strategy and privacy compliance are now foundational to effective digital advertising. The brands that master data-driven targeting will lead the next wave of video commerce and brand storytelling.

Agentic Booking Comes to Google AI Mode

Google is rolling out agentic booking capabilities in AI Mode as a Search Labs experience, allowing users to book restaurant reservations, wellness appointments, or purchase event tickets directly from the AI Mode interface. This is a significant step towards fully autonomous, AI-driven customer journeys that collapse the path from discovery to conversion.For marketers and ecommerce leaders, this means optimising for agentic commerce is no longer optional. Brands must ensure their data, inventory, and booking systems are structured for seamless integration with AI assistants, or risk being bypassed in favour of more AI-ready competitors.For agencies and digital strategists, the opportunity lies in helping clients audit and upgrade their tech stacks for agentic compatibility, while also testing new creative approaches that drive engagement and conversion within AI-powered environments. The brands that move fastest will capture a disproportionate share of agentic transactions as this trend accelerates.

Gemini 3 Powers Google AI Mode: Multimodal Search Goes Mainstream

Google’s Gemini 3 model is now powering AI Mode for subscribers in the US, delivering state-of-the-art reasoning and multimodal understanding for complex queries. This upgrade enables more nuanced answers, interactive visuals, and deeper integration with Google’s Shopping Graph, making AI Mode a powerful tool for both research and commerce.For marketers and content creators, this raises the bar for what it takes to be featured in AI-driven results. Structured data, high-quality visuals, and expert content are now essential for being surfaced in Gemini-powered answers. The brands that invest in multimodal content and entity-based optimisation will be best positioned to capture demand in this new search paradigm.For agency leaders and CMOs, the message is to future-proof your digital strategy by investing in content, data, and measurement frameworks that support multimodal discovery and agentic commerce. The brands that master these capabilities will not only win in Google’s ecosystem, but also set the standard for AI-powered marketing across the industry.

YouTube Dominates AI Search with 200x Citation Advantage

BrightEdge data reveals that YouTube earns 200 times more citations in AI search results than competitors like TikTok, Vimeo, and Twitch across platforms including ChatGPT, Perplexity, and Google’s AI Overviews. With a 29.5% citation rate in Google’s AI Overviews, YouTube has become the go-to source for tutorials, product demos, and how-to content in the age of generative search.For brands and content marketers, this is a clarion call to double down on YouTube strategy. Educational, product-focused video content is now a critical driver of AI visibility and discovery, far outpacing short-form rivals in terms of authority and reach.Agencies and CMOs should prioritise YouTube content production, optimisation, and measurement, ensuring that videos are structured, transcribed, and tagged for maximum discoverability. The brands that build robust video libraries and align with AI-powered search trends will capture the next wave of organic and paid traffic in an increasingly visual digital landscape.

Conclusion: The Strategic Imperative for AI-Driven Marketing in 2026

The past few weeks have crystallised a new reality for marketing leaders: AI is not a distant disruptor, but the engine powering today’s most successful campaigns, ecommerce journeys, and customer experiences. From agentic commerce and multimodal search to influencer-driven ads and omnichannel automation, the pace of change is only accelerating. Those who adapt quickly—by investing in AI tools, optimising for AI-powered discovery, and building agile, data-driven teams—will lead the next era of digital growth.To stay ahead, marketing professionals and agencies should:

• Invest in AI-powered automation and agentic commerce integrations across ecommerce, paid media, and customer engagement workflows.
• Prioritise content and data strategies that maximise AI visibility—focusing on structured data, entity optimisation, and multimodal assets (especially video).
• Build agile teams and measurement frameworks capable of tracking AI-driven performance, adapting quickly to new platforms, and capturing emerging opportunities in influencer, social, and conversational commerce.

The future belongs to those who embrace AI as a strategic partner—not just a tactical tool. The time to act is now.

Key Takeaways

• Rebuild your SEO strategy around AI visibility: prioritise structured data, entity optimisation and authoritative content that can be cited in Google AI Overviews, Bing AI answers and Gemini-powered AI Mode results, as highlighted in the AI Overviews, Bing guidance and 2026 content strategy sections.
• Shift PPC optimisation from channel-level to asset- and audience-level by using Google Ads’ new Performance Max asset/channel reporting plus YouTube Partner Match to identify top-performing creatives and high-value segments, then reallocate budget accordingly.
• Prepare your ecommerce stack for agentic commerce by ensuring clean feeds, live inventory and frictionless checkout across Shopify, ChatGPT Instant Checkout and Google AI Mode’s booking features so AI agents can complete end-to-end transactions.
• Double down on YouTube and educational video content, as its 200x citation advantage in AI search makes it a critical surface for both organic discovery and paid performance across search and AI assistants.
• Integrate creator and UGC strategies into paid social: TikTok creator ads and Meta’s expanded Partnership Ads tools show that influencer-led formats now drive superior CTR, engagement and scalable performance.
• Update measurement frameworks to track mentions, citations, impressions in AI answers and cross-surface share of voice, not just clicks and rankings, so you can understand the true impact of AI-driven search and recommendation systems.
• Continuously monitor how your brand appears in ChatGPT, Gemini, Bing and other AI interfaces, and run ongoing tests on copy, formats and feeds to influence AI recommendations at the point of intent.

Frequently Asked Questions

How will AI Mode and AI Overviews affect my SEO strategy?

AI Mode and AI Overviews reduce traditional organic CTR, so ranking in the top blue links is no longer enough. You need to optimise for inclusion within AI-generated answers by using structured data, building brand authority and earning mentions and citations from trusted sources. Treat “generative engine optimisation” (GEO) as a core SEO discipline, not an add-on.

What changes should I make to my Google Ads and YouTube campaigns?

Use the new Performance Max asset and channel reporting to identify which creatives, audiences and placements actually drive conversions, then shift spend towards those winners and cut underperformers. On YouTube, activate Partner Match to leverage your first- and third-party data for highly targeted Video Reach, Views and Demand Gen campaigns, with creative tailored to key segments.

How do I optimise for Google AI Overviews and Bing’s AI search?

Focus on high-quality, expert content that directly answers user questions, supported by clear schema markup and well-structured pages. Build authority via reviews, PR, citations and strong entity profiles so your brand and content are more likely to be referenced in AI summaries across Google and Bing.

How can ecommerce brands capitalise on ChatGPT Instant Checkout and agentic booking?

Ensure your product and booking data is accurate, comprehensive and machine-readable, with strong imagery, reviews and clear policies so AI agents can confidently recommend and transact. Integrate with platforms like Shopify and supported booking providers, and closely monitor how your catalogue appears in ChatGPT and Google AI Mode to refine feeds and offers.

What should PPC and paid social teams do about the rise of creator-led and UGC ads?

Rebalance budgets to test creator-led formats on TikTok and Meta, using Partnership Ads and creator handles where possible to tap into existing trust and engagement. Build repeatable workflows for sourcing creators, approving content and turning top-performing UGC into scalable paid ads with robust tracking and brand safety controls.

Conclusion

AI is now the connective tissue between search, media buying, ecommerce and social, collapsing the gap between discovery and conversion. For SEO and PPC teams, winning in this environment means optimising not only for clicks, but for presence inside AI-generated answers, agentic journeys and multimodal experiences. Prioritise clean data, structured content, privacy-safe audience targeting and rigorous testing across Google, Bing, YouTube, ChatGPT and social platforms. If you need support re-architecting your search and paid media strategy for the AI era, contact the Anicca team or subscribe to our newsletter for ongoing insights. The next phase to watch is full-funnel attribution across AI surfaces, as measurement finally catches up with this new reality.Need help adapting your search strategy for AI-driven search? Contact the Anicca team for expert guidance on SEO and PPC in the AI era.