SEOIntel Weekly News Round-up (First Week of December 2025)

The last month of 2025 rolls in, and with it is another big week in search and AI — with changes rolling out across both tools and the underlying landscape. Google Search Console is testing a new AI-Powered Configuration tool to build custom reports with natural-language prompts, while globally Gemini 3 and Nano Banana Pro […]
Marie Aquino
December 5, 2025

The last month of 2025 rolls in, and with it is another big week in search and AI — with changes rolling out across both tools and the underlying landscape. Google Search Console is testing a new AI-Powered Configuration tool to build custom reports with natural-language prompts, while globally Gemini 3 and Nano Banana Pro are expanding in AI Mode.

At the same time, OpenAI has sounded the alarm with a full “code red” for ChatGPT as new rivals surge, signaling a turning point in the generative-AI race.

Then there’s a fresh study showing how small and mid-sized businesses are reshaping their website and traffic strategies in response to AI and social changes — plus a handy primer on using Search Console Insights for content performance.

And with the recent surge of Google ranking volatility shaking up SERPs again (is another core update looming, to end the year with a bang?), this feels like one of those pivot-points for search.

Get this week’s SEO news round-up below:

Google Tests “AI-Powered Configuration” In Search Console

Google recently rolled out a new experimental feature — AI-Powered Configuration — in the Search Console Performance report. This tool allows you to describe the data you want using natural language, and Search Console will automatically build the report for you with the correct filters, metrics, and comparisons.

What the New Feature Does

With the AI-Powered Configuration, you can generate custom Performance reports by typing instructions like:

  • “Show me queries on mobile containing ‘shoes’ from the last 3 months.”
  • “Compare clicks and impressions for /blog pages between Q3 and Q4 last year.”

Instead of manually selecting metrics, filters, and date ranges, Google will interpret your prompt and instantly “configure” the report. That means metric selection (Clicks, Impressions, CTR, Position), filters (query, page, country, device, date range, search appearance), and even comparisons — all handled in one simple step.

Why It Matters: Faster, Smarter Reporting for SEOs

  • Saves time & reduces friction — No more digging through menus or building complex filter sets. A simple natural-language prompt does the heavy lifting.
  • Makes insights more accessible — Even non-technical team members can generate advanced reports without needing deep Search Console expertise.
  • Encourages more frequent analysis — With lower effort, teams are more likely to explore different data slices (device type, query groups, time ranges, etc.) and catch trends or anomalies fast.
  • Supports deeper analysis and hypothesis testing — Want to test the impact of a site update, compare performance before/after, or isolate device-specific traffic — you can configure those quickly without manual overhead.

Important Limitations & Things to Know

  • The feature currently works only for the Performance report (Search results). It doesn’t support Discover or News reports.
  • It doesn’t yet support sorting tables or exporting data. So you may still need to export full dataset for detailed manual analysis.
  • Since it interprets natural-language prompts, the AI can occasionally mis-interpret your request. Always double check the filters and settings before making decisions.
  • Rollout is gradual: not all properties have access yet, and Google warns it’s still experimental.

What You Should Do Now

  • Test it out — If you have access, start by running simple natural-language reports like “Show me mobile vs desktop CTR last 30 days.” See how it works for your site.
  • Integrate into reporting workflow — Use it to create quick weekly or monthly dashboards without manual setup, saving time for deeper analysis or strategy work.
  • Use for hypothesis testing — When you publish new content, updates, or UX changes, use AI-powered configuration to compare performance before/after easily.
  • Verify carefully — Because AI interprets your prompt, double-check filters, metrics, and date ranges before drawing insights or exporting data.

Why This Reflects a Broader Trend

This launch echoes a larger shift in how search and website analytics tools are evolving in the AI era. Just as search engines are becoming more conversational and context-aware, analytics tools are getting smarter, more intuitive and more accessible. For SEO professionals and site owners, tools like this reinforce the importance of data literacy, quick experimentation, and constant monitoring.


Gemini 3 & Nano Banana Pro Expand Globally

Google has rolled out its most advanced AI search model, Gemini 3, to AI Mode in Search across about 120 countries and territories worldwide (for English-language queries), marking one of the broadest expansions of AI-powered search features yet.

Alongside Gemini 3, the enhanced image generation and editing model Nano Banana Pro is also being made available in the same territories — giving users new options for rich, generative visuals within search and AI workflows.

What’s New & What’s Possible

  • Advanced Reasoning + Multimodal Understanding: Gemini 3 powers more complex, nuanced search responses — able to interpret rich context, combine text + visuals, and use “agentic” reasoning to respond to complex or multi-step queries.
  • Dynamic Generative UI: With Gemini 3 in AI Mode, users may get custom layouts, interactive tools, simulations or visual-rich responses — not just plain text.
  • Nano Banana Pro Image Generation: For users on eligible plans, Nano Banana Pro allows creation/editing of images, infographics, diagrams, or other visual assets — useful for content, marketing, or visual storytelling.
  • Global Reach: The expansion isn’t limited to a few regions — users in major markets across Americas, Europe, Asia-Pacific, Middle East, and more reportedly now have access under English query mode.

Why It Matters for SEO, Content & Marketers

  • Search is evolving — from link lists to answers & experiences: With Gemini 3, results may increasingly look like “mini-apps” or interactive answers, not just blue-link dumps. That shifts what “visibility” means.
  • Multimodal content gains value: Pages with rich media — images, infographics, structured data, clear visuals — may be more likely to get used or cited by AI-powered search results.
  • Opportunity for early advantage: Since this is still relatively new globally, content creators and brands that adapt early — with well-structured, deep, and visually-rich content — may capture more visibility on AI-driven surfaces.
  • New expectations for quality and clarity: Because AI aggregation pools from many sources, content must be clear, authoritative, and compatible with AI reasoning. Poorly structured or shallow content risks being ignored.

What to Do Now

  • Audit your content for depth + multimodal support — add high-quality images, diagrams, infographics, structured data, and logical formatting.
  • Consider building content types that benefit from visual/interactive elements (guides, comparisons, calculators, infographics) — these may perform better under AI-Mode search results.
  • Monitor traffic and engagement carefully — as some users may get answers directly in AI Mode (with less click-through), focus more on brand value, citations, and conversions rather than just traffic.
  • Stay alert to new opportunities: as AI Mode expands globally, regional markets might get surges in AI-driven discovery — a chance to reach new international audiences.

With Gemini 3 and Nano Banana Pro rolling out to 120 countries, Google has taken a big step toward making AI-powered search a global standard — not just a U.S. or experimental feature. For search professionals, content creators, and marketers, this expansion means the rules of visibility are shifting. It’s no longer just about ranking for keywords — it’s about being structured, visual, and AI-ready. Adapt now, and you might just ride the wave of this next generation of search.


Google Blends AI Mode Into AI Overviews

Robby Stein — VP of Product for Google Search — officially announced on X that Google is beginning global tests to merge AI Mode directly into AI Overviews on mobile.

Under the new flow, when users tap the “Show more” button on an AI Overview, they’ll be taken into AI Mode where they can ask follow-up questions, continue the conversation, and get deeper, dynamic responses without leaving the results page.

In essence, what had been two separate experiences — a static AI-generated summary (AI Overview) and a full chatbot-style AI Mode — are merging into one seamless, end-to-end AI search experience. On mobile search results, this test promises to make AI Mode feel like the natural next step whenever someone wants more depth than a brief summary.

What Changed — And Why It Matters

From Snapshot to Conversation

AI Overviews were designed to give a quick, static summary of results, often enough for simple queries. With this new update:

  • Clicking “Show more” no longer simply expands the summary — it launches full AI Mode with an “Ask anything” bar.
  • Users get both the convenience of a quick answer and the option for deeper follow-up — without switching interfaces.

Global, Mobile-First Test

The change is rolling out globally — at least for mobile users — and is meant to simplify the search experience across languages and devices.

More Pressure on Click-throughs & Publishers

Because follow-ups and deeper answers now happen within Google’s AI interface, there’s a strong possibility that fewer users will click through to websites. As one source puts it: “This brings AI Mode more directly into Google Search and sadly, will likely result in fewer clicks to websites.”

What This Means for SEO, Content & Publishers

  • Visibility doesn’t end at ranking. With AI Mode absorbing more user intent and offering answers directly inside Google, your content needs to be optimized not just for SERP ranking but for being usable by AI — structured, clear, comprehensive, and authoritative, so that AI Mode considers it a credible source.
  • Content depth and clarity matter more than ever. Pages that offer real substance, thorough answers, and strong structure (headings, lists, schema, references) stand a better chance of being cited or used in AI-powered summaries.
  • Expect drop in organic click-through—track differently. Traditional SEO metrics like CTR may drop. It may be time to add AI-visibility metrics (citations, mentions inside AI responses) alongside traditional traffic tracking.
  • Adapt content strategy to AI decision paths. Users may no longer navigate through multiple pages; instead, one well-optimized page might satisfy their query. Focus on comprehensiveness and user satisfaction over volume of pages.
  • Test and monitor user behavior carefully. Watch for shifts in behavior: fewer clicks but maybe higher conversions, or shorter sessions but increased “zero-click” satisfaction. Adjust KPIs accordingly.

With the announcement, Google is nudging search — and SEO — into a more tightly integrated AI-first paradigm. The line between summary and conversation is blurring, and websites will need to evolve from simply ranking to being AI-trustworthy reference points. For content creators, marketers and SEO pros: the test is now, your content’s readiness will determine whether you ride the next wave — or get left behind.


OpenAI Declares “Code Red” on ChatGPT as Rivals Surge

In early December 2025, OpenAI CEO Sam Altman triggered a company-wide “code red,” ordering all hands on deck to overhaul ChatGPT’s core — putting new features and ad plans on hold to prioritize reliability, speed, personalization, and broad-coverage reasoning.

The move comes amid mounting pressure from competitors — particularly Gemini 3 — which recently leapt ahead of ChatGPT on key benchmarks and is being aggressively rolled out across Google’s search and AI offerings.

What OpenAI Says It Will Fix — And What’s On Pause

According to internal communications, OpenAI is doubling down on improving several aspects of ChatGPT: faster response times, broader reasoning capabilities, better personalization, and more reliable output.

As a result, other planned initiatives are being deferred or suspended, including:

  • Advertising integrations within ChatGPT (previously under testing)
  • New AI agents for shopping, health, and brokerage of specialized tasks
  • The upcoming personal-assistant product codenamed “Pulse”

In short — the message is clear: ChatGPT must become stronger before chasing new features or monetization.

Why the “Code Red” Came — Outside Pressure & Internal Risks

There are a few strong drivers behind this move:

Rising Competition

Gemini 3 (and other newer models) have posted stronger benchmark scores, prompting concern that ChatGPT is losing competitive edge. For example, Gemini 3 is being rolled out aggressively across Google’s platforms and is seeing strong user momentum.

User & Market Expectations

With AI adoption accelerating and people expecting near-human reasoning, small lapses in correctness, personalization, or speed can quickly erode confidence. The code-red signal suggests OpenAI sees this as an existential moment for ChatGPT.

Monetization Trade-offs

OpenAI reportedly planned to introduce ads and specialized agents as revenue sources — but prioritizing quality over income for now suggests long-term thinking.

What It Means for Users, Developers & the AI Landscape

  • Users may see fewer new features in the short term — as OpenAI channels resources into refinement rather than expansion.
  • Advertisers & marketers may need to hold off on growing ChatGPT-based ad or agent strategies, since the ad rollout is delayed for now.
  • Developers and enterprise buyers might benefit: if ChatGPT becomes more reliable and capable, it could remain a strong foundation for AI-powered tools and workflows, especially once the next reasoning model rolls out.
  • The competitive AI arms race is heating up. OpenAI’s urgency underscores how quickly leadership can shift in the generative-AI space — winners won’t just be the first, but the most consistent.

What to Watch Next

  • The upcoming “next-gen reasoning model” OpenAI reportedly plans to release — this will indicate how seriously they take the performance gap.
  • Whether suspended features (ads, specialized agents, Pulse) are shelved or relaunched post-overhaul — and under what terms.
  • Reaction from competitors, especially if Gemini and other rival AI tools continue aggressive feature rollouts.

By declaring a code red, OpenAI acknowledges what many observers already sense: the foundation of generative AI competition is shifting from novelty to maturity. It’s no longer enough to be first — now you have to be stable, capable, and responsive. For developers, marketers, and creators, this moment demands balance: between experimenting with new AI tools and building resilience in case the tools run into trouble. The next few months will be critical — not just for ChatGPT, but for the future of AI-powered search, content, and discovery.


How AI and Social Are Reshaping Small and Mid-sized Business Website Strategy (WordStream Study)

The recent SMB Website Trends Report 2026 from WordStream offers one of the clearest snapshots in recent years of how small and mid-sized businesses (SMBs) are adapting their web, SEO, and marketing strategies in a rapidly shifting digital landscape. The report is based on a survey of over 300 small businesses from dozens of industries — evaluating how they get traffic, generate leads, handle SEO (and emerging generative-search visibility), and plan for future growth.

Key Findings from the Report

According to the report:

  • Websites remain vital: Among SMBs that have websites, 69% say their site is a major source of leads, and 70% sell directly from their site.
  • Traffic & conversions are the biggest challenge: Driving visitors and converting them into customers remains the #1 concern — more than content creation or keeping up with algorithm changes.
  • Social media now outpaces SEO for many SMBs: 64% of respondents said social media was a main traffic source, vs. 52% naming SEO. For some businesses — especially smaller ones — social channels or marketplaces remain their primary source of visibility and leads.
  • SEO still works (for many): Despite these shifts, 72% of SMBs rated their SEO performance as “very or somewhat effective,” with that percentage rising to 89% among larger SMBs in the survey.
  • Traffic losses due to AI and algorithm shifts: Nearly 40% of surveyed businesses noted traffic decreases attributed to search algorithm changes or competition from AI-powered search results.
  • Growing awareness of generative search (GEO): As AI-driven search and generative engines gain steam, a growing number of SMBs are considering them in their long-term visibility strategy — though many remain uncertain how to tackle them.

What This Means for SMBs & Digital Marketers

1. Website is still non-negotiable — but not sufficient alone.
Even now, a website remains essential for credibility, lead capture, and direct sales. But given how often SMBs find social media and marketplaces delivering traffic — sometimes even more than SEO — relying solely on search ranking is risky. Diversification across channels is increasingly necessary.

2. Conversion and UX matter as much as traffic.
Since many SMBs highlight conversion — not just traffic volume — as their biggest challenge, it’s clear that a high-traffic site won’t deliver results unless the user experience, CTAs, lead flows, and trust signals are optimized.

3. SEO remains relevant — but must adapt.
It’s encouraging that a majority of SMBs still find SEO effective. However, with traffic losses linked to AI-driven search changes, businesses should broaden their SEO strategy: focus on content quality, structured data, brand authority, and multichannel presence (social, directories, marketplaces) rather than just classic ranking metrics.

4. Embrace AI / generative search early — but wisely.
For businesses that want future-proof visibility, the rise of generative search (sometimes called GEO) cannot be ignored. Though still nascent, optimizing for AI citations and mentions — not just traditional SERPs — might become a key differentiation for SMBs going forward.

5. Be agile and channel-diverse.
Given how fragmented traffic sources and search behavior have become (social, marketplaces, AI search, traditional SEO), flexibility is critical. Companies that rely on a single channel risk volatility. A balanced presence across website, social, local listings, marketplaces — and now AI-search — offers more resilience.

What to Do If You Run or Work With SMBs

If you manage SEO or marketing for a small to mid-sized business, here are some practical takeaways based on the report:

  • Maintain and optimize your website — but invest in user experience, conversion paths, trust signals, and clarity to maximize lead generation.
  • Diversify visibility: build a presence on social media, local directories, marketplaces — and monitor marketplaces/social for lead opportunities.
  • Treat SEO as part of a broader visibility strategy — continue optimizing for traditional search, but also begin considering AI search readiness (structured data, clear content, authority signals, brand mentions).
  • Track and monitor conversion and lead metrics — not just traffic volume — to understand real business impact.
  • Stay adaptive: expect disrupted traffic patterns due to algorithm shifts, AI changes, and evolving SERP/AI-search behaviors.

In Conclusion

The WordStream “SMB Website Trends Report 2026” reinforces what many small businesses already know: the digital landscape is more fragmented than ever, and success requires adaptability, diversity, and focus on both visibility and conversion. For SMBs willing to invest in quality websites, diversified channels, and emerging search trends — including generative AI — there’s still a strong opportunity to compete, grow, and thrive.

Read the full report here.


Getting Started with Search Console Insights (Google Search Central Video)

If you’re new to Search Console — or you want a faster way to understand how your site is performing — this short training video is the perfect place to start. Google’s Daniel Waisberg walks through Search Console Insights, a high-level dashboard that shows your top-performing content, rising and declining pages, trending queries, and where your search traffic is coming from. You’ll learn how to interpret clicks, impressions, branded vs. non-branded queries, and how to jump into deeper performance reports when needed. It’s a quick, practical primer that helps you spot wins, uncover opportunities, and monitor content performance — all in just a few clicks.


What’s clear is this: the ground under “search” is shifting fast — not just how content gets found, but how visibility, discovery, and ranking are being redefined. With AI-powered tools reshaping what gets surfaced and how users interact, and Search Console and analytics tools evolving to match — staying on top means being adaptive, data-aware, and ready to test new workflows. As volatility comes and goes, the brands and sites that stay visible and relevant will be those that embrace flexibility, build for AI-readiness, and treat performance as more than just rankings.