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OpenAI adds product feed ads to ChatGPT

Google OpenAI

OpenAI is making a clearer push into e-commerce advertising by letting retailers generate ads directly from their product catalogues inside ChatGPT.

What’s happening. Retailers can now connect product feeds to ChatGPT, allowing the platform to automatically create ads using product names, images and attributes, instead of building campaigns manually.

The ads themselves don’t change for users. They still appear beneath responses and are clearly labelled as sponsored.

Why we care. Running ads at scale has been a major barrier for e-commerce brands in ChatGPT.

This update removes that friction, especially for retailers with large inventories, by turning product catalogues into ready-to-run ad campaigns.

Zoom in. Brands set rules for which products to include, then let the system generate ads automatically.

It mirrors how shopping campaigns work on platforms like Google, where structured feeds power both organic and paid visibility.

What’s new. Previously, product data could inform ChatGPT’s answers, but it couldn’t be used for advertising.

Now, that same data powers both, effectively linking organic presence with paid campaigns.

Between the lines. This signals a shift in how OpenAI plans to monetise shopping.

Rather than taking a cut of transactions, it’s moving toward capturing ad budgets already spent on platforms like Amazon and Meta.

What they’re saying. Industry analyst Debra Aho Williamson called feed-based automation “table stakes,” noting that ChatGPT’s edge lies in serving ads based on conversational intent rather than traditional signals.

Ad tech partners like StackAdapt say the setup integrates easily with existing feeds, lowering adoption barriers.

Context. The move follows a series of performance-focused updates, including cost-per-click bidding and new conversion tracking tools.

Cost-per-action models are also reportedly in development, pointing to a deeper push into performance advertising.

What to watch. Expect more retailers to test ChatGPT as a performance channel as setup becomes easier. The bigger question is whether conversational intent can drive conversions as effectively as traditional search or marketplace signals.

Bottom line. OpenAI is turning product feeds into ads — making ChatGPT a more viable, scalable channel for e-commerce advertising.

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How soft 404s and indexing issues caused a 90% traffic collapse

How soft 404s and indexing issues caused a 90% traffic collapse

When a website migration goes wrong, the consequences can be a devastating loss of organic traffic and revenue. But what happens when the damage isn’t immediately visible? What if Google is silently deprioritizing your content, page by page, until your traffic has evaporated?

This is the case study of how a multinational media organization lost 90% of its traffic following a domain migration, and how addressing a seemingly harmless technical issue — soft 404 errors — helped unlock suppressed traffic potential across 13 country-specific domains.

While this case study examines events from 2021–2023, the lessons learned remain timeless and directly applicable to any site facing indexing challenges today.

The catastrophic drop

In January, 2022, the Brazilian localization of a cryptocurrency news website completed a domain migration. After the transition, traffic didn’t just drop — it plummeted. Comparing December 2021 to December 2022, both sessions and pageviews had fallen approximately 90% year-over-year.

According to Google Search Console data, the old domain (xx.com.br) was receiving between 15,000 to 25,000 clicks per day before migration. After migrating to the new subdomain structure (br.xx.com) in January, traffic collapsed and never recovered. It stabilized at around 2,000 to 4,000 clicks per day — a sustained loss that persisted for over a year.

The migration coincided with three major Google algorithm updates in June 2021: the core update, spam update, and page experience update. While these updates caused the expected temporary volatility, the Brazilian site showed no signs of recovery.

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The migration problem: More than just redirects

Domain migrations typically show an initial traffic drop as Google recrawls and reassesses the site. That’s expected.

Normally, this traffic recovers within weeks or months. In this case, there were no signs of recovery.

The root cause? The old domain continued to be crawled by Google long after the migration.

According to the team’s analysis, proper redirect implementation and technical migration protocols weren’t fully implemented, causing Google to split its crawl budget between two domains rather than consolidating authority on the new one.

In mid-August 2022, after addressing the migration issues with the SEO and IT teams, there was a subtle uptick — a peak of 12 clicks and 37 impressions on Aug. 29, 2022. While modest, this represented the first signs of recovery and indicated that Google was beginning to properly recognize the new domain.

Using Facebook Prophet forecasting on pre-migration data, the team estimated that without the migration issues, the Brazilian site would have exceeded 2 million monthly clicks by early 2022. Instead, it was generating a fraction of that traffic.

Understanding the indexing bottleneck

While fixing the migration was critical, it revealed a deeper problem affecting not just Brazil, but all 13 of the site’s country domains: a massive indexing backlog.

Google’s page processing follows four stages:

  • Crawl: Google discovers and reads pages.
  • Render: The page code is rendered.
  • Index: Pages wait in a queue to be stored in Google’s index.
  • Rank: Pages appear in search results with rankings.

The Brazilian site was taking an average of 2 minutes for Google to crawl new articles (an acceptable amount of time for a news site). However, indexing these articles was taking 24 hours. For time-sensitive cryptocurrency news, this delay was catastrophic. By the time the site’s articles were indexed, the news cycle had already moved on.

The scale of the site migration problem: 513,000 crawled, but not indexed, pages

In January 2023, Google Search Console revealed alarming indexing issues across all domains:

  • Crawled – currently not indexed: 513,369 pages (Brazil alone)
  • Soft 404: 1,193 pages and growing rapidly
  • Alternate page with proper canonical tag: 2,532 pages
  • Discovered – currently not indexed: 524 pages

The “Crawled – currently not indexed” issue was particularly concerning. These were pages that Google had successfully crawled but chose not to index. This typically happens when Google considers a page low-quality, duplicate, or not worth the crawl budget.

Upon investigation, the team discovered that converter pages (e.g., “/usd-to-thor?amount=250” or “/eur-to-signaturechain?amount=1000”) were being automatically generated at scale. These thin content pages were consuming Google’s crawl budget, causing it to deprioritize the entire domain.

The soft 404 time bomb

While fixing the migration and removing low-quality pages was important, the most insidious issue was the proliferation of soft 404 errors.

A soft 404 occurs when a page returns a 200 (success) status code but actually contains no meaningful content — essentially a “page not found” that doesn’t properly signal its emptiness to search engines. Unlike hard 404s, which clearly communicate that the page doesn’t exist, soft 404s confuse search engines and waste crawl budgets.

The data revealed this wasn’t isolated to Brazil. Soft 404 errors were growing exponentially across multiple domains:

  • xx.com (main site): 90,400 affected pages
  • es.xx.com (Spain): 17,700 pages
  • kr.xx.com (Korea): 15,400 pages
  • fr.xx.com (France): 15,100 pages
  • de.xx.com (Germany): 8,010 pages

Specifically for France, Google Search Console data showed a direct correlation: As soft 404 errors began accumulating in October 2022, total crawl requests dropped from 60,000–70,000 per day to just 20,000–30,000 per day. Google was literally giving up on crawling the site efficiently.

The crawl budget crisis

The concept of crawl budget is critical to understanding why soft 404s matter so much.

Search engines allocate a finite amount of resources to crawl each website. If Google wastes time crawling broken, empty, or duplicate pages, it has less capacity to discover and index your valuable content.

For news sites publishing dozens of articles daily, this creates a vicious cycle: New content doesn’t get indexed quickly, engagement drops, Google further reduces crawl budget, and the problem compounds.

In January 2023, Google was wasting significant resources crawling pages that provided no value. This meant:

  • Slower indexing of new, timely content.
  • Reduced visibility in search results.
  • Lost traffic opportunities.
  • Degraded domain authority in Google’s eyes.

The systematic fix: Addressing root causes of site migration problems

Starting Jan. 31, 2023, the team implemented a comprehensive technical SEO remediation plan focused on three priorities:

Urgent: Soft 404 resolution

The team identified the source of soft 404 errors and implemented proper HTTP status codes. Pages that truly didn’t exist began returning proper 404 or 410 status codes. Pages with content were fixed to render properly.

High priority: Crawl budget optimization

  • Removed or noindexed automatically generated currency converter pages.
  • Implemented stricter URL parameter handling.
  • Used robots.txt to block low-value URL patterns.
  • Set up proper canonicalization for variant pages.

Medium priority: Core Web Vitals

While user experience metrics were important, the team recognized that fixing indexing issues would have a more immediate impact than optimizing page speed. Core Web Vitals improvements were addressed, but not at the expense of resolving indexing bottlenecks.

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The results: Dramatic recovery across all domains

Weeks after implementing the fixes, the impact was measurable:

Brazil (br.xx.com)

  • Crawled – currently not indexed: Dropped from 513,000 to 220,000 pages (57% reduction).
  • Soft 404 errors: Reduced from 1,193 to 370 pages (69% reduction).
  • Traffic recovery: Visible upward trajectory starting early 2023.

Germany (de.xx.com)

  • Indexed pages: Increased from ~150,000 to 370,748.
  • Total clicks: Rose from ~8,000/day average to sustained 12,000-15,000/day.
  • Google Discover traffic share: Jumped from 42% to 58%.

Poland (pl.xx.com)

  • Indexed pages: Grew from ~100,000 to 135,556.
  • Total clicks: Increased significantly with multiple traffic spikes above 30,000/day.
  • Google Discover traffic share: Rose from 15% to 86%.

Spain (es.xx.com)

  • Google Discover clicks: Increased from ~450,000 to 912,721 total.
  • Traffic distribution: Discover now represents 65% of total traffic.

All domains combined

By late April 2023, soft 404 errors across all domains had dropped from a peak of approximately 120,000 pages to under 20,000 — an 83% reduction.

Most remarkably, the biggest traffic gains came from Google Discover — Google’s personalized content recommendation feed. As indexing health improved, Google began trusting the domains enough to recommend their content more aggressively to users.

The Core Web Vitals paradox

Interestingly, improvements to Core Web Vitals (page speed, interactivity, and visual stability) showed mixed results:

Desktop improvements:

  • Germany: 25.1% → 97.1% good URLs
  • Poland: 20.5% → 68.9% good URLs
  • Korea: 15% → 84.6% good URLs

Mobile challenges:

  • Brazil: 0% → 0% (no improvement)
  • Argentina: 0% → 0%
  • Thailand: 0% → 0%
  • Korea: 93.4% → 0.5% (severe regression)
  • Turkey: 94% → 0% (severe regression)

The team’s hypothesis: Core Web Vitals performance is heavily influenced by regional factors like CDN proximity, server location, network quality, and device capabilities. Countries with poor mobile infrastructure or greater server distance showed minimal improvement despite technical optimizations.

This reinforced an important lesson: Not all technical SEO issues affect all markets equally. A one-size-fits-all approach would have wasted resources by optimizing for metrics that couldn’t improve without infrastructure investment, while the real wins came from addressing indexing fundamentals.

Key technical SEO lessons

1. Indexing issues trump almost everything else

No amount of content quality, backlinks, or page speed optimization matters if Google isn’t indexing your pages. Before optimizing what’s visible, ensure your content is actually being indexed.

2. Soft 404s are silent killers

Unlike hard 404s that immediately alert you to problems, soft 404s quietly accumulate, degrading your crawl budget until you notice traffic declining. Regular monitoring of Google Search Console‘s “Pages” report is essential.

3. Domain migrations require exhaustive validation

The Brazilian site’s migration issues persisted for over a year. A proper migration protocol should include:

  • Complete redirect mapping verification.
  • Confirmation of old domain deindexing.
  • Search Console property setup and validation.
  • Multi-week monitoring of both old and new domains.
  • Crawl rate and indexing speed tracking.

4. Crawl budget is real for high-volume sites

For sites publishing 10+ articles daily across multiple domains, crawl budget optimization is not optional. Automatically generated pages, URL parameters, and infinite scroll implementations can quickly consume available crawl resources.

5. Regional differences demand regional solutions

Core Web Vitals data showed that Brazil, Argentina, and Thailand couldn’t achieve the same performance as European markets. Instead of forcing uniform standards, prioritize fixes tailored to each market that can actually succeed.

6. Google Discover is increasingly critical

For news and timely content publishers, Google Discover accounts for a substantial share of traffic in some markets. But Discover only promotes content from sites Google trusts — and technical issues like soft 404s directly erode that trust.

Practical site migration implementation guide

For teams facing similar challenges, here’s a systematic approach:

Weeks 1-2: Audit and prioritize

  • Access Google Search Console for all properties.
  • Export “Page indexing” reports for all domains.
  • Identify the scale of each issue category.
  • Calculate the trend (growing, stable, or declining).
  • Prioritize based on issue volume and growth rate.

Weeks 3-4: Fix soft 404s

  • Sample 20–30 URLs from the soft 404 report.
  • Identify common patterns (empty pages, broken functionality, etc.).
  • Implement proper HTTP status codes (404, 410, or fix the content).
  • Validate fixes in Google Search Console.
  • Monitor for reduction in affected pages.

Weeks 5-8: Address crawled but not indexed

  • Analyze URLs to identify auto-generated content.
  • Implement robots.txt rules or noindex tags for low-value pages.
  • Review and strengthen internal linking to important pages.
  • Ensure proper canonicalization across variants.
  • Request reindexing via Search Console for key pages.

Weeks 9-12: Monitor and optimize

  • Track indexing coverage weekly.
  • Monitor crawl rate changes in Search Console.
  • Measure organic traffic recovery.
  • Identify remaining outlier issues.
  • Document learnings for future migrations.

Calculating the traffic loss from migration issues

How significant was this suppressed traffic opportunity?

According to Facebook Prophet forecasting based on pre-migration data, the Brazilian site was trending toward 20,000+ daily clicks. At the time of fix implementation in early 2023, it was receiving approximately 5,000–7,000 daily clicks. This represented roughly 6575% of potential traffic being suppressed — or conversely, the site was only achieving 25–35% of its forecasted potential.

More broadly, across all 13 domains, the soft 404 and indexing issues prevented approximately 500,000 pages from being indexed. Given average click-through rates for indexed pages, this represented millions of potential monthly impressions and hundreds of thousands of potential clicks being left on the table.

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Technical debt compounds

The most important lesson from this case study is that technical SEO issues don’t stay static — they compound. What starts as a few hundred soft 404s becomes thousands, then tens of thousands.

Google’s response isn’t immediate punishment, but gradual deprioritization. Traffic doesn’t crash overnight; it bleeds slowly.

For the Brazilian site, it took over a year to recognize the full scope of the problem. During that year, competitors filled the gap, topical authority eroded, and recovery became exponentially harder.

The good news? Once identified and systematically addressed, these issues are fixable. Within 12 weeks of implementing the remediation plan, every domain showed measurable improvement. Some saw traffic double or triple.

Technical SEO is often seen as unglamorous maintenance work. But as this case demonstrates, it’s the foundation upon which all other optimization rests. Before worrying about AI-generated content, E-E-A-T signals, or the latest algorithm update, ensure Google can actually find, crawl, and index your content.

Because the best content in the world is worthless if it’s trapped outside search engine indexes.

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Web Design and Development San Diego

How negative information spreads from Wikipedia into AI search

How negative information spreads from Wikipedia into AI search

Wikipedia was once widely considered an unreliable source. Today, however, it’s often treated as a credible reference point because of its extensive citations and collaborative editing process.

It’s also one of the primary sources AI search systems rely on. Alongside Reddit, Wikipedia heavily influences the information surfaced by ChatGPT and Google.

The downside to this is that Wikipedia isn’t always foolproof. Negative or outdated information often persists on certain pages for months or even years. That information is then funneled back into AI search systems and relayed to users.

This creates a feedback loop where outdated or negative narratives can gain long-term visibility and credibility across AI search platforms.

So, how does one navigate the scenario when negative information ends up on Wikipedia?

How content ends up on Wikipedia 

One of the main criteria of getting information on Wikipedia is verifiability. Media outlets and Wikipedia users verified by the platform itself are often the main providers of content.

For instance, respected third-party outlets such as news organizations and scientific journals are often the main sources. This leads to these outlets serving as gatekeepers of sorts.

It also means that verifiability is sometimes prioritized on Wikipedia over pure accuracy of content. Unfortunately, media outlets don’t always achieve 100% accuracy in their reporting. 

Another issue is that Wikipedia’s editors are often decentralized volunteers. This means that content uploaded to the platform is often based on general consensus.

The result is that there’s no central authority on Wikipedia that can quickly “fix” disputed content.

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Why does negative and outdated information stick?

Wikipedia openly acknowledges that controversies surround the platform. It even maintains a page documenting those disputes over the years.

Negative or outdated information can persist for several reasons. In many cases, it also originates from a single high-profile news story or legal issue that continues to be cited long after the situation changes.

Citations

Wikipedia citations have extreme permanence. Once information is essentially backed by a “reputable” and verified source, removal from the platform becomes extremely difficult. Even information that has long since been disproven can remain on Wikipedia if it comes from a proper source.

The echo chamber effect

The web is a highly influential sphere. Wikipedia serves as both the influencer and the influenced in terms of absorbing and spewing information. Negative claims often circulate and reinforce themselves through Wikipedia — and this is only becoming more prominent with AI search platforms.

Risk aversion

Simply put, Wikipedia’s editors don’t want to be viewed as biased. This means they often avoid removing content from verified sources.

Differing news coverage

Negative stories often receive more coverage than positive ones. Corrections also tend to attract far less attention than the original reports, creating an imbalance in the sources Wikipedia relies on.

Wikipedia’s role in AI search

Wikipedia has become a major source for generative AI platforms, giving its content an added layer of credibility in AI-generated answers.

ChatGPT and Google AI Overviews frequently condense information from Wikipedia and other sources, such as Reddit and news outlets, into simplified narratives. As a result, outdated controversies or disputed claims can quickly spread to large audiences.

The issue is compounded by changing user behavior. Many users now rely on AI-generated summaries instead of clicking through to verify information themselves. Some estimates suggest roughly 40% don’t fact-check AI search results.

That means when AI systems surface negative Wikipedia content, it can shape perception almost instantly.

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How Wikipedia and AI disrupted a social media company

My online reputation management company recently helped repair the image of a prominent marketing company. (For the sake of privacy, we’ll refer to them as Organization Z.) 

Organization Z faced plagiarism claims nearly a decade ago. These claims were eventually cleared and dismissed, with any hint of wrongdoing squashed. However, the claims appeared on Organization Z’s Wikipedia page, where they were labeled a “controversy.”

Making matters worse was that far more attention was paid on Wikipedia to the apparent “controversy” than to the fact that Organization Z’s name was eventually cleared.

AI search engines then began to pull this information directly from Wikipedia. When users searched for the brand online, they encountered terms such as “controversy” and “plagiarism” despite all claims having been dismissed. 

The controversy continued resurfacing online years after the claims had been dismissed.

How to navigate negative content on Wikipedia

Before diving into solutions, it’s important to understand what doesn’t work. Editing your own Wikipedia page creates a conflict of interest, and Wikipedia edits are closely monitored. You also can’t remove content without a strong policy-based justification, as the platform has strict standards around sourcing and removals.

With that in mind, here is a practical, step-by-step framework many ORM specialists recommend for addressing negative or outdated Wikipedia content.

1. Perform an audit

Identify the claims circulating on Wikipedia, along with the sources used. Outline any outdated references or integrity gaps. 

Determine whether the information on the page is still relevant and whether the coverage is fair and balanced.

2. Compare Wikipedia to current coverage

Compare the Wikipedia page with how the brand, person, or issue is currently represented online. In this context, it’s the same step you would take while performing an AI narrative audit

Identify whether important context is missing, outdated, or overemphasized. The goal is to spot gaps between reality and the narrative Wikipedia presents.

3. Address the citations

Now that you’ve identified mismatches and analyzed the sources Wikipedia is using, you can begin to address those citations. You’re not altering Wikipedia itself. You’re altering what Wikipedia cites. 

Aim to publish factual, positive content that reflects the current reality. Prioritize third-party mentions on reputable media outlets or in academic journals. 

4. Strengthen positive, balanced coverage

Build your brand image online with a specific focus on highlighting achievements and industry recognition. Make it clear that you’re a reputable voice in your industry, and Wikipedia will soon reflect that.

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AI search raises the stakes

Wikipedia remains a powerful source of information, but its reliance on citations and consensus can allow outdated or negative narratives to persist.

That becomes more consequential when AI search engines amplify those narratives in generated answers.

While brands can’t directly control what appears on Wikipedia, they can influence the sources that shape it. The key is to strengthen accurate, balanced coverage across reputable outlets and regularly audit how your brand appears online.

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Web Design and Development San Diego

Why vibe coding is becoming an SEO advantage

Why vibe coding is becoming an SEO advantage

SEO used to be constrained by one thing more than anything else: dependency.

Dependency on developers, roadmaps, and “maybe next quarter.”

If you wanted a new page template, a calculator, a comparison widget, or even a simple interactive component, you had to ask, wait, and compromise. That’s changing fast.

If you’re in SEO or GEO today and you’re not learning how to vibe code, you’re limiting your impact.

Vibe coding changed the power dynamics in SEO

A few years ago, building tools like calculators or interactive widgets meant tickets, specs, and dev cycles.

Today, with AI, I’ve personally built dozens of mini apps, tools, and UI components without involving a single developer.

Some of those tools are small. Some are relatively ugly but effective. Some now bring in thousands of organic sessions per month.

Entire pages built around a vibe-coded tool are now outperforming traditional text-heavy competitors.

Parents Hub "Back To School Countdown" Vibe-Coded Tool
Parents Hub “Back To School Countdown” Vibe-Coded Tool

Even more importantly, I’ve introduced this mindset to my SEO team, and they’re now building tools on their own to achieve our search goals. That alone changes everything.

SEO teams can now move faster, test ideas immediately, and reserve developers for actual engineering work, including new templates, infrastructure, and scaling.

And yes, there’s something genuinely satisfying about building a tool yourself, publishing it, and watching it attract traffic month after month.

You don’t need to build fancy things. Just things that get the job done.

Dig deeper: Inspiring examples of responsible and realistic vibe coding for SEO

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Stop talking about user personas. Start talking to them.

Everyone agrees on the user persona theory:

  • Identify user personas.
  • Understand their pain points.
  • Create content that addresses them.

What almost no one explains is how to actually present that information.

Historically, SEO handled personas with text:

  • “If you’re a parent…” 
  • “For families…” 
  • “Business travelers should consider…”

That approach is already outdated. Today, we can let users self-identify and surface only the information that matters to them.

One example from a brand I manage:

  • A vibe-coded tabbed component.
  • Each tab represents a different user persona.
  • Clicking a tab reveals persona-specific content.

For airport transfers in Majorca, a “family” persona doesn’t care about the same things as a solo traveler.

Example case of the "User Persona" component
Example case of the “User Persona” component

They care about vehicle safety, child seats, family-friendly routes, vehicle size, and indicative pricing. That content appears only when the Family tab is selected.

From an SEO and GEO standpoint, persona pain points were sourced directly from Google Search Console and query fan-out analysis.

The component was then vibe-coded and placed where intent needed to be satisfied immediately.

This aligns with how AI platforms already structure answers: segmented, persona-aware, and intent-first.

Entire traffic categories can be built on tools alone

On one personal project, we launched a brand-new Tools category — ten pages with simple tools, such as:

  • Calculators.
  • Checklists.
  • Calendars.
  • Countdown timers.
  • AI generators.

Each page leads with the tool and uses supporting components to answer sub-intents.

The result? More than 5,000 incremental clicks in two months. Most of those pages were also out of season.

Dig deeper: How to vibe-code an SEO tool without losing control of your LLM

UI is now a ranking lever

SEOs have never been more capable. The only real limitation left is creativity.

One of the most underrated SEO advantages today is how information is visually presented.

Text is cheap. Everyone can produce it. UI that answers intent instantly isn’t.

I’ve seen:

  • Two calculator pages add 10,000 monthly organic sessions.
  • One tool page rank in the top three within days for a high-volume government query.
  • Multiple seasonal pages rank off-season purely because the UI was better.

When competitors list information, we let users interact with it.

  • Eligibility calculators. 
  • Countdown timers. 
  • Dynamic tables. 
  • Visual comparisons.

These pages still include text. But the text supports the tool, not the other way around.

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‘SEO takes time’ — except when it doesn’t

One page we published targeted a Greek government school financial support program with a high-volume head term, dozens of long-tail queries, and extremely text-heavy competition.

We built:

  • A financial support eligibility tool.
  • A transparent explanation of the algorithm logic behind the tool for E-E-A-T.
  • Common rejection mistakes parents made when applying for support.
  • Historical program changes.
  • A step-by-step application flow.
Parents Hub Kindergarten Financial Support Eligibility Calculator
Parents Hub Kindergarten Financial Support Eligibility Calculator

We tagged the tool as a WebApplication, implemented HowTo schema for the process, and properly marked up the FAQs.

Three days after publishing, the page was already ranking on the first page for the main term and generating about 100 clicks.

Sometimes SEO really doesn’t take that long if you solve the problem better than anyone else.

Tools are the ultimate SEO and PR assets

Some tools are built purely for traffic. Others are designed to become linkable digital assets.

A pregnancy due date calculator, a baby name generator, or a comparison table based on TripAdvisor data isn’t just a page. It’s a potential PR campaign.

When a digital asset solves a real pain point, looks modern, answers intent better than SERP features, and has clear PR angles, that’s where SEO, PR, and branding start to collide. That’s when things get really interesting.

Dig deeper: How vibe coding is changing search marketing workflows

Finding tool-page opportunities is easier than ever

With MCP servers from SEO tools, you can now surface tool ideas directly from search demand without leaving the chat, assess difficulty instantly, and launch faster than ever.

I’ve built and launched multiple tool pages this way, and the speed difference compared with traditional workflows is massive.

We’re entering a period where ideation, validation, and execution can all happen in days, not months.

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The big shift

SEO is no longer about who can write the longest article, rephrase the same information better, or game templates. It’s about who answers intent fastest, removes friction, and builds search experiences instead of documents.

Vibe coding changed who gets to build. And right now, the people embracing it are pulling away fast. If you want to win in modern SEO and GEO, build tools, build components, and build search experiences. Text alone isn’t enough anymore. And honestly, that’s a very good thing.

Dig deeper: Build your own AI search visibility tracker for under $100/month

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Web Design and Development San Diego

Google Ads to auto-link YouTube channels starting June 10

Google is set to automatically link Google Ads accounts with associated YouTube channels — according to communications sent to multiple advertisers — tightening the connection between video engagement and ad performance.

What’s happening. Advertisers have received notices that, from June 10, 2026, Google Ads accounts that aren’t already linked to a YouTube channel will be automatically connected.

The update removes the need for manual linking and ensures advertisers can access video engagement data and targeting features by default.

Why we care. Linking a YouTube channel unlocks deeper insights and more advanced targeting options — something many advertisers either overlook or delay setting up.

By automating the process, Google is effectively making video data a standard part of campaign optimisation.

Zoom in. Once linked, advertisers can access organic video metrics, including view counts, directly within Google Ads.

They can also build audience segments based on how users interact with their YouTube content — from video views to channel engagement.

What else. The integration allows advertisers to track “earned actions,” such as subscriptions or additional views driven by ads, and use those engagements as conversion signals.

That creates a clearer picture of how video campaigns influence user behaviour beyond just clicks.

What to watch. How advertisers adapt their measurement strategies once organic and paid video data are combined, and whether this leads to broader use of engagement-based conversion tracking in campaigns.

Bottom line. Google is making YouTube data harder to ignore — turning automatic linking into a default step for better targeting, measurement and performance.

First spotted. Several advertiser reported getting the comms from Google, including Founder of JXT Group, Menachem Ani, founder of PPC News Feed Hana Kobzová, and PPC Specialist Arpan Banerjee.

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Web Design and Development San Diego

Adthena launches ChatGPT ads intelligence platform

ChatGPT growth

Adthena is bringing competitive visibility to ChatGPT ads — launching a new platform designed to track how brands show up across prompts, placements and competitors.

What’s happening. Adthena has unveiled its ChatGPT Intelligence Platform, positioning it as the first tool to offer whole-market visibility into ChatGPT Ads — similar to what it already provides for Google Ads.

The platform monitors more than 300,000 daily prompts, tracking which brands are advertising, where ads appear, and what messaging they use.

Why we care. ChatGPT’s native ads tools currently show advertisers a limited, self-focused view of performance.

Adthena is stepping in to fill that gap — giving advertisers insight into competitors, share of voice and prompt-level activity in a channel that’s still largely opaque.

Zoom in. The platform offers a full view of how ads appear across ChatGPT conversations, alongside competitive intelligence on who is bidding, where and with what creative.

It also includes real-time recommendations to optimise campaigns, helping advertisers act on insights rather than just observe them.

What else. Advertisers can analyse ad copy performance, monitor brand presence and track share of voice — all within a single dashboard that combines ChatGPT and Google Ads data.

That cross-channel view is designed to help teams make smarter budget decisions as search behaviour shifts.

Context. The launch follows Adthena’s earlier AdBridge tool, which helps advertisers migrate Google Ads campaigns into ChatGPT’s Ads Manager.

Together, the tools signal a growing ecosystem forming around AI-driven search advertising.

What they’re saying. CMO Ashley Fletcher said early adopters will shape the competitive landscape — and that the new platform “tells you exactly what to do about it.”

What to watch. Expect to see more third-party tools emerge as advertisers demand better visibility into AI-driven ad environments. Adoption will likely depend on how quickly brands start treating ChatGPT Ads as a core performance channel, while pressure may build on platforms like ChatGPT to improve their own native reporting capabilities.

Bottom line. Adthena is positioning itself as the visibility layer for ChatGPT Ads — giving advertisers a clearer view of a fast-growing but still opaque channel.

Read more at Read More

Google Search Algorithm Changes: 2026 Update

Key Takeaways

  • Google’s 2024 API leak confirmed that click data and user engagement signals carry more weight in rankings than the search giant has publicly acknowledged. Brand authority matters more than many search engine optimization (SEO) professionals realize.
  • Core updates now target multiple ranking systems at once. The March 2024 update, combined with prior efforts, reduced low-quality content in search results by 45 percent.
  • AI Overviews (AIOs) appear in more than 25 percent of searches and have reshaped how content gets surfaced. Optimizing for AIO citations requires a different approach than traditional SEO.
  • Spam enforcement has intensified, with Google actively targeting manipulative link profiles, scaled AI-generated content, cloaking, and site reputation abuse.
  • High-quality content, link profiles built on relevance rather than volume, technically sound sites, and verifiable experience, expertise, authoritativeness, and trustworthiness (E-E-A-T) signals have held up through every major update.

Have you noticed rankings shift after a recent update? 

Keeping pace with Google’s ranking algorithm can feel like chasing a moving target.

Google may tweak its algorithm thousands of times a year, but the core principle remains the same: rank sites that earn it and penalize those that game the system. 

If you understand what Google targets in every major update, you can stop reacting to Google algorithm changes and start anticipating them.

This guide covers what we know about ranking factors and every major Google algorithm change worth tracking. It also gives you 11 practical tactics to protect and improve your rankings, no matter what update comes next.

Use the table of contents to jump ahead or read start to finish if you’re new to algorithm changes.

What Do We Know About Google’s Algorithmic Ranking Factors?

Google doesn’t publish a definitive list of ranking factors. But in May 2024, more than 2,500 pages of internal API documentation were leaked, giving SEOs an unprecedented look under the hood.

The biggest revelation was NavBoost, a re-ranking system that uses Chrome clickstream data to evaluate how users interact with search results. 

The leaked documents reference click attributes including “goodClicks,” “badClicks,” “lastLongestClicks,” “unsquashed,” and “unicorn” clicks, all of which feed into how Google assesses page quality. Pages where users spend meaningful time send positive signals. Quick bounces do the opposite. 

Rand Fishkin of SparkToro, who analyzed the leak, concluded that building a recognizable, trusted brand outside of Google search is one of the most effective things you can do for organic rankings.

Leaked documentation from Google.

Source: https://sparktoro.com/blog/an-anonymous-source-shared-thousands-of-leaked-google-search-api-documents-with-me-everyone-in-seo-should-see-them/

The screenshot above comes straight from the leaked documentation. It catalogs the click-related fields Google tracks inside one of its page-quality modules, with attributes like goodClicks, badClicks, and lastLongestClicks listed directly. 

Beyond the leak, here’s a rundown of Google’s established ranking factors:

  • Page speed: Core Web Vitals (CWVs) are confirmed ranking signals. Slow-loading pages create friction that hurts user experience and rankings.
  • Content relevance: Google rewards content that matches user intent. Use targeted keywords naturally and build relevant content around the topics those keywords represent.
  • Freshness: The leaked documentation confirmed how recently a page was published or updated factors into rankings. Regularly refreshing content with current data and examples sends a positive signal.
  • Link quality: Backlinks from authoritative, relevant sources remain a core signal. The leaked documents suggest Google classifies links into low, medium, and high-quality tiers based in part on click data, with low-tier links ignored entirely. Google also appears to favor diverse link profiles with a range of referring domains over concentrated links from a small number of sources.
  • Mobile-first indexing: Google uses the mobile version of your site for indexing and ranking.
  • HTTPS: Secure connections are a baseline ranking signal and a trust factor for users.
  • User engagement: Signals such as dwell time, click-through rate, and pogo-sticking feed into how NavBoost evaluates page quality.
  • E-E-A-T: This shapes how Google’s quality raters evaluate content, which in turn influences how ranking systems are calibrated. The leaked documentation also suggests Google can identify authors and treat them as entities in the system, reinforcing the value of publishing content under recognized, credible bylines.

AIOs follow similar ranking principles but place added weight on structured content that directly answers specific questions. AIOs now trigger on nearly half of all tracked queries according to BrightEdge, and only about 38 percent of pages cited in AIOs also appear in the top 10 search results, according to Ahrefs. 

Topical authority and content depth are increasingly the deciding factors for AIO citations.

How Often Does Google Release Algorithm Changes?

Google search algorithm updates happen constantly. Google may push multiple changes in a single day, and the company has confirmed making thousands of changes to Search in a single year.

Most of these updates are small. You probably won’t notice a drop in page rankings from any individual one.

The exception is core updates. Google rolls out these larger, more sweeping changes a few times per year, and they can directly impact your page performance. 

Based on recent patterns, expect a core update about three to four times a year.

My Brief Timeline of Google Algorithm Updates

Below is a concise history of all Google algorithm updates that have had a lasting impact on how Google and SEOs operate, sorted by release date. Each entry links to a detailed breakdown further in this article.

  • March 2026 Core Update
  • December 2025 Core Update
  • August 2025 Spam Update
  • Site Reputation Abuse Update (May 2024, updated November 2024)
  • March 2024 Core Update
  • Search Generative Experience (May 2023, became AI Overviews May 2024)
  • How-To and FAQ Changes, September 2023
  • Product Review Update, April 2023
  • E-E-A-T Update, December 2022
  • Link Spam Update, December 2022
  • Helpful Content Update, August 2022
  • Page Experience Update, June 2021
  • Google RankBrain, October 2015
  • Google Hummingbird, September 2013
  • Google Penguin, April 2012
  • Google Panda, February 2011

The Google Algorithm Updates You Need to Know About

Here’s a closer look at each update and what it means for your SEO strategy.

March 2026 Core Update

Google’s first core update of 2026 began rolling out on March 27 and was completed on April 8, taking just over 12 days.

Google Search Status Dashboard.

Source:https://status.search.google.com/incidents/7eTbAa2jWdToLkraZj5y

The update produced ranking volatility, but this is more routine with updates than a red flag. SE Ranking data shared with Search Engine Land showed nearly 80 percent of top-three URLs shifting positions, and roughly one in four top-10 pages falling out of the top 100 entirely.  

Google described it as “a regular update designed to surface relevant, satisfying content for searchers from all types of sites.” 

Independent analysis by Aleyda Solis using Sistrix data showed visibility moving away from aggregators, directories, and comparison sites, and toward official sources, established brands, and specialist platforms.

  • Brand recognition: Is your site a known name in your niche, or could it be mistaken for a generic content site?
  • Original value: Are you producing data, analysis, or insights of your own, or summarizing what’s already ranking?
  • Destination authority: Does your site serve as a primary source or as a stop on the way to one?
  • E-E-A-T signals: Is it clear who wrote the content and why a reader should trust it?

The March 2026 update is harder to read on its own than most. The core update launched two days after the March 2026 spam update completed on March 25, and roughly a month after the February 2026 Discover update wrapped. That means any visibility changes from late March or early April could trace back to any of the three. 

If your rankings shifted during that window, segment your data by date before deciding which update caused it. 

December 2025 Core Update

Google’s third and final core update of 2025 began rolling out on December 11 and was completed on December 29, taking just over 18 days.

Google Search Status Dashboard in December 2025.

Source: https://status.search.google.com/incidents/DsirqJ1gpPRgVQeccPRv

Google described it as a regular update designed to surface relevant, satisfying content from all types of sites. 

Within the first few days, significant ranking volatility was observed across industries, followed by a second spike around December 20. Some sites saw major drops in visibility, while others that had been penalized in previous updates experienced partial recoveries.

Google didn’t release update-specific guidance. Its standing advice remains consistent: there’s no single fix after a core update. If your site lost rankings, the most likely culprit is content that Google no longer considers the most helpful result for the queries you were ranking for.

If you were hit, here are a few areas to review:

  • Content quality: Does your content fully satisfy the user’s search intent, or does it leave questions unanswered?
  • Originality: Are you offering a unique perspective, or summarizing what’s already ranking?
  • E-E-A-T signals: Is it clear who wrote the content, what their experience is, and why a reader should trust it?
  • Technical health: Have CWVs, crawl errors, or mobile usability issues emerged since your last audit?

Recovery from core updates typically requires patience. Google has noted that meaningful improvements usually become visible after the next core update, though incremental gains are possible in between. 

The December 2025 update came five months after the June 2025 core update, continuing a cadence of three to four core updates per year.

August 2025 Spam Update

Google’s August 2025 spam update rolled out from August 26 to September 22, running nearly four weeks. It was the first spam update since December 2024.

Spam updates use Google’s AI-powered SpamBrain system to identify and demote sites that violate Google’s spam policies, including link spam, thin content, cloaking, scraped content, keyword stuffing, and deceptive redirects. 

The overall network impact was minimal, but individual sites felt it sharply. Some saw organic rankings collapse for key terms, while others penalized in earlier updates experienced recoveries.

One notable pattern is that sites with old spammy backlinks were not immune. 

Case studies showed exact-match anchor text links from low-quality sources, some built five or more years ago, being retroactively devalued as SpamBrain’s pattern recognition continues to improve.

If you haven’t audited your backlink profile recently, run one through Ahrefs or Semrush and flag links with exact-match keyword anchors from irrelevant or low-authority sources. Going forward, focus new link acquisition on relevance and authority.

Site Reputation Abuse Update

Site reputation abuse, also known as “parasite SEO,” is the practice of publishing third-party content on a high-authority domain to exploit that domain’s established ranking signals. Think of a payday loan review page on a university website, or an unrelated affiliate section on a major news site.

Google announced the policy in March 2024 alongside the March 2024 core update, with enforcement beginning May 5, 2024. Initially, the policy targeted third-party content published with little or no host oversight.

In November 2024, Google closed a significant loophole: First-party involvement, including licensing agreements and partial ownership, no longer provides immunity. 

The impact was immediate. High-profile publishers, including Forbes Advisor and CNN Underscored, saw sections of their sites deindexed or stripped of rankings within 24 hours.

Enforcement remains manual through Search Console, though Google has indicated plans to build algorithmic enforcement over time. If you host third-party content that exists primarily to rank for keywords outside your site’s core authority, remove it or noindex it.

March 2024 Core Update

The March 2024 core update was one of the most consequential algorithm updates in years. It ran from March 5 to April 19, overlapping with a simultaneous spam update, and involved changes to multiple core ranking systems at once.

Google’s goal was to reduce low-quality, unoriginal content in search results by 40 percent. 

After the rollout completed, Google reported that the combined impact of the March update and previous efforts had reduced such content by 45 percent.

4 update.

Source: https://blog.google/products-and-platforms/products/search/google-search-update-march-2024/

The update also introduced three new spam policies, including expired domain abuse, scaled content abuse (targeting mass-produced pages regardless of whether they were human-written or AI-generated), and site reputation abuse.

One of the most significant structural changes was the retirement of the standalone Helpful Content system. Google folded its function into the core ranking systems, meaning helpful content evaluation now operates as part of the broader quality assessment rather than as a separate algorithmic layer. 

Sites that relied on high content volume at the expense of quality were hit hard, with some losing visibility within days of the rollout.

Search Generative Experience (SGE)

What started as SGE in May 2023 was the early prototype for what we now know as AIOs. At the time, SGE was an opt-in, U.S.-only experiment that used generative AI to produce detailed responses to search queries, complete with suggested follow-up questions and relevant links. 

An early AIO example.

Source: https://blog.google/products-and-platforms/products/search/generative-ai-search/

A Google search AIO query.

Source: Google Search, query example from blog.google/products/search/generative-ai-search/

The experiment ran through early 2024, with Google iterating on the format and expanding access. By May 2024, SGE was officially retired and replaced by AIOs, which rolled out broadly to U.S. users and later globally.

In hindsight, SGE was the blueprint. Many of the patterns observed during testing carried over directly into AIOs, including a preference for high-authority sources, structured content that clearly answers specific questions, strong E-E-A-T signals, and topical depth across a subject area. The major behavioral shift was that SGE required users to opt in, while AIOs appear automatically.

Today, AIOs trigger on approximately 48 percent of all tracked queries, up from roughly 30 percent a year earlier, according to BrightEdge. 

Presence rates climb above 80 percent in informational verticals like B2B technology and education. Only about 17 percent of AIO-cited sources also rank in the organic top 10, according to the same BrightEdge analysis, reinforcing that content depth and topical authority matter more than ranking position for earning citations.

How-To and FAQ Changes

This update, initially released in August 2023 and upgraded in September 2023, changed how Google displayed rich search results, such as frequently asked questions (FAQs) and how-tos.

Specifically, Google reduced the visibility of FAQ rich results and limited the visibility of how-to rich results on both desktop and mobile devices. As of September 13, 2023, Google no longer shows How-To rich results on desktop.

Where FAQ rich results are shown, they will be sourced from well-known, authoritative government and health websites.

There’s no need for websites to remove existing structured data that highlights FAQs and how-tos, but if they do, it won’t affect their rankings.

Product Review Update

The April 2023 Product Review Update focuses on experience. It leans heavily into E-E-A-T guidelines as a standard for content quality, prioritizing review content that goes above and beyond the formulaic results you generally see. Google says its ranking algorithm will reward these types of product reviews in search results.

So, if you’re writing product reviews, put in the extra effort to make them informative and helpful. That means enhancing experience with:

  • Visual evidence: Include original photos rather than stock images.
  • Audio experience: Add original audio to improve accessibility and depth.
  • Evidence of experience: Show proof that you’ve used the product.
  • Quantitative measurements: Track and share the product’s real-world performance.

E-E-A-T Update

Explaining how E-E-A-T works.

Source: https://neilpatel.com/blog/what-is-e-e-a-t/

On December 15, 2022, Google updated its Search Quality Rater Guidelines to add a fourth dimension to the existing E-A-T (Expertise, Authoritativeness, Trustworthiness) framework: Experience.

The addition recognized that first-hand, lived experience with a topic produces meaningfully different content than expertise acquired secondhand. A product reviewer who has used a product for six months writes differently from someone summarizing a manufacturer’s spec sheet. Google wanted its guidelines to capture that distinction.

Trustworthiness remains the most important member of the E-E-A-T family, according to Google’s own documentation. You can have expertise and experience, but if readers can’t trust that the content is accurate and honest, E-E-A-T breaks down.

Link Spam Update

On December 14, 2022, Google released a link spam update targeting websites that buy and sell links. Google started leveraging its AI-powered SpamBrain system specifically to detect and neutralize link spam, including identifying sites purchasing links and sites used for passing them.

Any benefit previously given to a purchased link was nullified. Google’s John Mueller has repeatedly stated that most sites don’t need to manually disavow spammy links, as Google’s systems are designed to ignore them.

Keeping a clean link profile is essential to avoid getting hit by this update. Don’t buy links, and only use white hat techniques to earn them going forward.

Helpful Content Update

Google’s August 2022 Helpful Content Update rewarded websites that produce high-quality content for visitors. Google wanted the top search results filled with content that users find useful, which meant prioritizing depth, accuracy, and genuine value over keyword-driven fillers.

The initial update targeted English pages but was later expanded globally to all languages. 

In March 2024, Google retired the standalone Helpful Content system and folded it into the core ranking systems, as covered in the March 2024 section earlier. It’s now part of how Google assesses quality across every core update, including the August 2024 update and beyond.

Page Experience Update

Google’s Page Experience update began rolling out in June 2021 and was completed in August 2021. It formalized CWVs as direct ranking signals, combining them with existing signals for mobile-friendliness and HTTPS security. Guidelines around intrusive interstitials were also part of the framework.

The three CWVs are:

  • Largest Contentful Paint (LCP): Measures loading performance. Target: under 2.5 seconds.
  • Interaction to Next Paint (INP): Measures interactivity and responsiveness. Target: under 200 milliseconds. (INP replaced First Input Delay as a CWV metric in March 2024.)
  • Cumulative Layout Shift (CLS): Measures visual stability. Target: a score below 0.1.

Google clarified that CWVs are ranking signals, not a standalone ranking system. A perfect score won’t guarantee top rankings on its own. But for competitive queries where multiple high-quality pages are vying for the same position, page experience can be the tiebreaker. 

Use PageSpeed Insights and Search Console’s CWV report to identify where your site needs attention.

Google RankBrain

In 2015, Google released a Hummingbird extension, RankBrain. It ranks pages based on whether they appear to answer a user’s search intent. In other words, it promotes the most relevant and informative content for a keyword or search phrase.

You can pass RankBrain’s scrutiny by researching the user intent behind every keyword and writing rich, quality content to meet their expectations.

Google Hummingbird

This 2013 ranking algorithm update was all about bridging the gap between what keywords people used and the type of content they wanted to find. In other words, it aimed to humanize the search engine experience and move the most informative and relevant content to the first page.

In response, marketers leveled up by including more keyword variations and relevant search phrases to improve their chances of meeting readers’ expectations.

Google Penguin

This update, introduced in 2012, directly combated “black hat” SEO tactics such as link directories and spammy backlinks. Like the Panda update, it also looked at keyword stuffing.

The goal was to shift away from emphasizing link volume to boost a page’s search ranking and instead focus on high-quality content that attracts valuable, engaging links.

Google Panda

Released in 2011, this SEO algorithm update targeted bad practices such as keyword stuffing and duplicate content. It introduced a “quality score” that ranked web pages based on how people would perceive their content rather than how many keywords they included.

To “survive” Google Panda, marketers needed to create quality content and use keywords strategically.

A chart of Google algorithm updates.

Source: https://thephagroup.com/blog/googles-algorithm-updates-a-timeline/

How Do I Know When Google Releases a New Algorithm Update?

Tracking algorithm updates doesn’t require constant monitoring. What it requires is the right setup.

Sources that tell you when updates happen:

  • Google Search Central on X: The official account where Google announces confirmed core updates and spam updates. This is the most reliable primary source. If a significant update is rolling out, it appears here first.
  • Google Search Status Dashboard: Google logs confirmed updates here with start and end dates. Bookmark it.
  • Google Alerts: Set up an alert for “Google algorithm update” to get notified whenever credible SEO publications cover new updates.
  • Industry publications: Search Engine Land and Search Engine Journal cover updates in detail. My blog does, too, so check back whenever you suspect a recent update. Subscribing to newsletters is an efficient way to stay informed without having to monitor daily.

Tools that show you when an update may have affected your site:

  • Google Search Console: The Performance report shows changes in impressions, clicks, and average position over time. If you see a steep, sustained drop in Search Console that coincides with a known update date, it’s a strong indicator of impact.
  • Google Search Central: Contains resources for diagnosing common performance problems, identifying possible algorithm penalties, and reviewing Google’s official recovery guidance after core updates.
  • Google Analytics 4: Monitor organic traffic at the channel level with your Google Analytics account. Sudden drops in organic sessions, particularly combined with changes in engagement rate, can signal an algorithmic shift.
  • MozCast: Tracks daily fluctuations in Google SERPs and displays them as a weather forecast. Mozcast’s high temperatures signal above-average ranking volatility.
  • Semrush Sensor: Monitors volatility across categories and device types, making it useful for determining whether a change is industry-wide or site-specific.
  • AccuRanker Grump: Provides volatility tracking by device and keyword category.
Google Grump ratings.

Source: https://www.accuranker.com/grump/

Is Google’s Algorithm Different from Other Search Engines?

Each search platform has its own algorithm and ranking factors. While many may overlap with Google’s ranking factors, they all take a unique approach to prioritizing internet content. 

Bing

Bing (which also powers Yahoo, DuckDuckGo, and AOL Search) shares broad principles with Google, but Bing’s specific ranking factors differ. It places more emphasis on keyword prominence in title tags and opening paragraphs and has historically been more transparent about incorporating social signals like likes and shares. 

Unlike Google, Bing has opted for a device-agnostic approach rather than mobile-first indexing, meaning desktop performance still carries significant weight in its rankings.

In April 2025, Bing launched Copilot Search, its own AI-powered answer layer that blends generative AI with traditional search results.

ChatGPT (SearchGPT)

ChatGPT’s search function operates on fundamentally different logic than a traditional search engine. Rather than ranking pages, it synthesizes answers from multiple sources using a large language (LLM) model augmented with live web retrieval, then presents them as conversational responses with inline citations. 

ChatGPT results.

Source: https://chatgpt.com/

An SE Ranking study comparing AI search tools found that ChatGPT produces the most reference-heavy responses of any AI search engine, drawing heavily from user-generated content platforms like Reddit and YouTube alongside established media sources. 

Structured content that directly answers specific questions tends to perform better for AI citation than long-form narrative content.

TikTok and Social Search

TikTok has become a genuine search engine for a significant segment of the population. According to Axios, only 46 percent of 18- to 24-year-olds start product and lifestyle searches on Google, while 21 percent go directly to TikTok. 

TikTok’s algorithm is engagement-first. The platform’s dominant signal is watch time, followed by shares, comments, and saves. Hashtags, captions, on-screen text, and spoken words all contribute to topical categorization. 

Follower count has minimal influence on content discovery, meaning small accounts can compete with large ones on content merit alone.

The bigger takeaway for SEO is that your brand’s visibility across Google, Bing, ChatGPT, TikTok, and YouTube is increasingly interconnected. Brand mentions and citations across authoritative platforms improve your position in AI-generated answers, including Google’s own AIOs.

How to Succeed with Google’s Algorithm

Ready to tackle Google’s algorithm and boost your page rankings? Try these 11 Google search hacks.

1. Optimize for Mobile

Google uses mobile-first indexing, which means the mobile version of your site is what gets indexed and used for ranking, regardless of whether a user searches from a phone or desktop.

The primary technical drivers of mobile optimization are page speed and CLS. Responsiveness, measured by INP, rounds out the CWV picture. On the design side, tap target sizes and font readability matter most. Content should render cleanly on small screens without requiring horizontal scrolling.

Start with Google’s PageSpeed Insights, which provides a detailed audit of your mobile performance alongside specific recommendations.

Pagespeed insights.

Source: https://pagespeed.web.dev/

For a deeper technical breakdown, use Lighthouse through Chrome DevTools. Search Console’s CWV report can then help you identify which specific pages fall below Google’s good threshold.

2. Audit Your Internal Links

Next, check your internal links. Do they all work properly, and do they link to relevant, up-to-date content? If not, fix the links and ensure they’re redirecting to useful posts to improve the user experience on your website.

Good quality internal links can improve your rankings.

Overuse is also something to look out for. A page crammed with dozens of internal links dilutes the value of each link. Aim for two to four internal links per post as a baseline, with more on longer, more comprehensive pages.

3. Boost User Engagement

Google Analytics 4 defines an engaged session as one lasting longer than 10 seconds, having a key event, or having at least two page views or screen views. A low engagement rate on key landing pages is a signal worth investigating.

Practical improvements you can make are:

  • Match content precisely to the query that brings users to the page.
  • Structure content so the most important information appears above the fold.
  • Use clear headings to help readers navigate.
  • Add internal links to keep users moving through your site.

If users leave immediately, there’s a good chance your content isn’t delivering what the query promised.

4. Decrease Site Load Time

A slow site hurts CWV scores and user experience. Two of the most common changes most sites can make are image optimization and script reduction.

Compress and convert images to WebP format. You can take it a step further by lazy loading any images that sit below the fold. Also, audit and remove JavaScript that isn’t critical to page functionality. 

Google will provide a prioritized list of fixes if you run PageSpeed Insights. Start at the top and work your way through them. One well-executed fix often improves multiple metrics simultaneously.

Pagespeed insights' search bar.

Source: https://pagespeed.web.dev/

5. Avoid Duplicate Content

Big or small, duplicate content on your website can attract a penalty.

To identify duplicate content, use Copyscape. You can search by URL to check if your content appears elsewhere on the web or paste in specific text to find matches. Review the results and take action if you find duplicates. 

Implement canonical tags to tell Google which version is the primary page, set up 301 redirects where appropriate, or noindex pages that need to remain accessible but shouldn’t be indexed.

The copyscape interface.

Source: https://www.copyscape.com/

6. Create Informative and Helpful Content

Helpful content fully answers the question a user searched for, ideally without them needing to click anywhere else. It provides context, accounts for follow-up questions, and comes from someone with genuine knowledge or direct experience with the topic.

The best way to do this is to write from real expertise and show your work with specific examples and data. If someone clicks on your website and stays there, Google knows you probably answered the user’s search query.

The result? Higher page rankings than if your articles are superficial or don’t target the right search intent.

7. Avoid Keyword Stuffing

Keyword stuffing means cramming the same keyword into your content multiple times just to boost your chances of ranking. This type of content is often distracting and difficult to read, and it falls foul of the Google algorithm.

Want to avoid keyword stuffing and stay on Google’s good side? Just use a keyword naturally within the text.

8. Improve Site Navigation

Clean navigation makes your site easier for users and search engines. It reduces bounce rate and supports crawlability. It also gives Google a clearer picture of your site’s hierarchy and the pages you want prioritized.

A few things worth reviewing:

  • Menu structure: Keep your primary navigation focused on the most important sections of your site. Burying key pages five clicks deep makes them harder for Google to prioritize.
  • Internal linking architecture: Pages you want to rank should be linked from multiple places. Your most authoritative content should link out to supporting pages. This creates a content cluster structure that signals topical depth to Google.
  • Sitemap: Submit an XML sitemap via Search Console to help Google discover your full page inventory, especially for larger sites.
  • Broken links: Run a site audit monthly. Broken links waste crawl budget and create dead ends for users. Fix or redirect them.

9. Increase Page Security

Hypertext Transfer Protocol Secure (HTTPS) has been a confirmed ranking signal since Google announced it in 2014. At this point, it’s a baseline. Sites still running on HTTP face trust warnings in Chrome, which affects user behavior regardless of ranking impact.

If you haven’t switched, you should be able to get a free Secure Sockets Layer (SSL) certificate from your hosting provider. Then update all internal links and references to HTTPS. Verify the redirect setup in Search Console to confirm that no ranking signals are lost during the migration.

10. Update and Refresh Old Content

Content that ranked well two years ago may not hold up today. Statistics go stale, tools change, best practices shift, and Google notices when a page stops reflecting current reality. 

The leaked API documentation confirmed that freshness is a ranking factor, so regular content refreshes send a direct positive signal.

Build a review cadence for your highest-traffic pages. Update outdated statistics with current data, replace broken or irrelevant outbound links, add new sections where the topic has evolved, and verify that your target keywords still match current search intent. 

Pages that have lost rankings over time are often the best candidates for a refresh, since the existing URL already carries domain authority and backlink equity.

11. Build Your E-E-A-T Signals

Strong E-E-A-T signals correlate with better rankings. Here’s how to strengthen each dimension:

  • Experience: Include original photos, first-person observations, and specific details that could only come from direct involvement with the topic.
  • Expertise: Add author bios with relevant credentials and links to professional profiles. For Your Money or Your Life (YMYL) content (think health, finance, legal, safety), have qualified experts review or co-author the material.
  • Authoritativeness: Earn links and mentions from credible sources in your industry. Press coverage and citations in widely-read publications carry particular weight.
  • Trustworthiness: Make your site transparently owned and operated. Clear About pages, accessible contact information, accurate citations, SSL security, and honest disclosure of commercial relationships all contribute.

FAQs

What is the Google algorithm?

Google’s algorithm is a system of ranking factors, signals, and machine learning models that determines which pages appear in search results for any given query. The 2024 API leak revealed over 14,014 individual attributes tracked across more than 2,500 modules, with core factors including content relevance, link quality, user engagement signals, mobile performance, and page security.

How does Google’s search engine algorithm work?

Google crawls and indexes web pages, then uses its ranking systems to evaluate which pages best match a given query. It weighs hundreds of signals, from content relevance and backlink authority to user engagement data collected through systems like NavBoost, to determine the order of results.

How often does Google change its algorithm?

Google makes minor changes daily. Core updates, which can significantly affect rankings, roll out three to four times per year, with additional spam updates in between.

How do I recover from a Google algorithm update?

Confirm the timing of your traffic drop against known update dates using the Google Search Status Dashboard or Google Search Central on X. Review which pages lost rankings, look for patterns in content quality and E-E-A-T signals, make improvements where warranted, and monitor for recovery after the next core update.

Does Google’s algorithm apply to AI Overviews (AIOs)?

AIOs draw from the same underlying ranking infrastructure as organic search. Pages with strong E-E-A-T signals, structured content, and clear answers to specific questions are most likely to be cited.

Conclusion

Google’s algorithm changes constantly, but what it rewards doesn’t. High-quality content that genuinely helps the reader, link profiles built on trust and relevance, strong E-E-A-T signals, and solid technical foundations have earned rankings through every major update from Panda to March 2026.

The newest layer is optimization for AIOs and LLMs. The fundamentals still apply there, too. Google’s AI draws from the same authoritative, well-structured sources its traditional algorithm has always favored.

Stay informed on the latest trends in SEO and check back here whenever a new update lands. If you need help translating these algorithm signals into a strategy for your specific site, my team at NP Digital is here to help.

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What Does the TikTok Sale Mean for Advertisers?

Key Takeaways

  • The TikTok sale is complete. TikTok USDS Joint Venture LLC closed on January 22, 2026, placing majority control in the hands of American investors Oracle, Silver Lake, and MGX. The ad infrastructure and auction mechanics are still running. 
  • User deletions spiked nearly 150 percent post-announcement, but active usage held flat. Sentiment and platform health are two different things. 
  • Governance shifts hit auction dynamics before they touch the product. Watch CPM and conversion rate week over week, not month over month. 
  • Pulling budget reactively during platform transitions destroys learning phase momentum and costs more to rebuild than staying in. 
  • Platform governance is now a media planning variable. The TikTok sale set a precedent that extends to every major platform in your media mix.

On January 22, 2026, TikTok USDS Joint Venture LLC officially purchased TikTok’s U.S. operations from ByteDance, transferring control to an American-led investor group anchored by the tech giant, Oracle, and investment groups Silver Lake and MGX.

What does this mean for advertisers on the platform?

The app isn’t shutting down. This is a governance restructuring, and TikTok’s ad products and auction mechanics are still running for its 170 million U.S. users. That said, regulatory shifts like this create real volatility risks that deserve a structured response.

This guide breaks down what did and didn’t change, and how to protect your performance without abandoning one of the most powerful paid channels in your media mix.

What the TikTok U.S. Sale Actually Changes

After the sale, TikTok USDS Joint Venture LLC now owns the U.S. aspects of the platform. ByteDance still owns a 20 percent stake, but the governing majority is now American.

Here’s what that means in practical terms.

What changed

Data governance is the biggest structural shift. U.S. user data is now stored and managed under American oversight, with Oracle handling cloud infrastructure. The new joint venture is also retraining TikTok’s recommendation algorithm on U.S. user data exclusively, to keep the content feed free from outside manipulation. Users won’t notice that change immediately, but it’s significant.

The American-owned entity now sets content moderation. The transition introduced additional compliance review processes for ad targeting parameters and audience segments, requiring some targeting options to be re-approved as the platform rebuilt its ad infrastructure. 

What didn’t change

The TikTok ads infrastructure is intact. TikTok Ads Manager, Smart+, TopView, and In-Feed formats are all still live. At the 2026 NewFronts, TikTok unveiled new ad formats, including Logo Takeovers and Prime Time placements, showing that new ownership isn’t slowing down on advertising anytime soon.

Creator monetization is also unchanged. The TikTok algorithm still powers discovery through the For You Page, so its rules are still critical for anyone trying to make money on the app. Per TikTok CEO Shou Chew’s internal memo, ByteDance’s global entity continues to manage the platform’s e-commerce operations and broader marketing functions on the new U.S. platform.

Early User Signals: Noise or Real Risk?

According to Sensor Tower data shared with CNBC, the daily average of U.S. users deleting TikTok jumped nearly 150 percent in the five days following the joint venture announcement, compared with the previous three months.

A drop that sharp could raise serious concerns for advertisers, but it deserves some context before we decide whether it signals real risk.

Three things fueled the spike, and none of them signal structural collapse:

  • A data center power outage caused failed uploads and For You feed irregularities, which TikTok publicly acknowledged.
  • An updated privacy policy prompted in-app backlash, though the flagged language was present in an archived August 2024 version of the same policy. 
  • Uncertainty around the new ownership’s content moderation approach prompted some creators to hedge their distribution across other platforms.

Competing platforms saw temporary bumps. U.S. downloads for UpScrolled increased more than tenfold, and platforms like Skylight Social and Rednote climbed 919 and 53 percent week over week, respectively.

Monitor trends like these. A sustained shift in creator behavior matters far more to your campaigns than a short-term uninstall spike driven by a data center outage and a misread privacy policy.

The Real Paid Media Variable: Auction Volatility

Here’s what most advertisers miss during a major platform transition: governance changes hit auction dynamics before they touch the product.

TikTok operates on an auction system where costs fluctuate based on competition, targeting choices, and ad quality. Your cost per mille (CPM) isn’t a fixed rate. It moves with how many advertisers are competing for the same audience at any given time, which makes the post-sale period worth watching closely.

Two forces are working in opposite directions right now.

The first is upward CPM pressure from the algorithm retraining cycle. The new joint venture is retraining TikTok’s recommendation algorithm on U.S. user data exclusively. As that process plays out, ad delivery patterns can shift mid-campaign. Campaigns optimized against the previous algorithm’s behavior may see performance move before any creative or targeting change explains it.

The second force is a temporary drop in auction competition. Some marketers were already planning to scale back spending heading into the transition. That window won’t stay open long. As advertiser confidence returns and paused budgets resume, CPM pressure will rise again.

Three things to monitor right now:

  • Watch your week-over-week CPM movement. Any sustained spike signals a shift in auction dynamics, not just creative underperformance.
  • Monitor conversion rates independently of volume, since algorithm retraining can compress efficiency without changing impression counts.
  • Track creative fatigue aggressively. TikTok’s auction dynamics and creative decay rates punish advertisers who let assets run too long without refreshing. 

Why Overreacting Hurts Performance

Pulling budget in response to platform uncertainty feels like risk management, but it’s often the riskiest move you can make in practice.

TikTok’s algorithm depends on a learning phase to optimize ad delivery. During this window, it tests bidding by evaluating your audience and creative to identify who is most likely to convert. Full optimization stability is generally reached around 50 conversions per ad group.  

Any significant change, like pausing campaigns or cutting budgets sharply, pushes an ad group back into the learning phase, resetting the optimization progress already built.

The cost of underfunding is equally concrete. Campaigns that don’t meet effective spending thresholds show CPMs 40 to 60 percent higher than properly funded ones, because the algorithm cannot optimize without sufficient data volume.

The post-sale period sharpens this dynamic considerably. With the algorithm retrained on U.S. data, cost per acquisition may increase 20 to 40 percent before stabilizing. Pausing during this window causes the algorithm to stop learning from your account entirely. Advertisers who read that temporary cost-per-action (CPA) spike as a signal to exit will reset their learning phase mid-cycle, compounding the problem they were trying to solve.

There’s also a competitive angle worth considering. Brands that maintained their presence through the transition period emerged with stronger relative positioning as competitors pulled back. When auction competition drops, CPMs follow. Advertisers who stayed in captured that efficiency. Those who paused paid higher costs to re-enter a recovering auction.

Volatility creates both inefficiency and opportunity. Which one you experience depends on whether you plan for it or react to it.

How to Protect Performance Without Abandoning TikTok

Here’s the operating model to build so you can capitalize on TikTok’s volatility now, or another platform’s in the future.

1. Pre-Approve Budget Flex Scenarios

Making significant budget changes reactively can ruin campaign performance. Deciding your triggers now means you respond with a plan instead of scrambling.

Don’t wait for a performance drop to decide how you’ll respond. Define your thresholds in advance, like a sustained CPM increase of 20 percent or more week-over-week or a conversion rate drop held across two consecutive weeks.

2. Keep Meta and YouTube Shorts Warm

A channel you haven’t run in months is a cold channel. Meta and YouTube Shorts require the same data runway as TikTok to reach full optimization stability, roughly 50 conversion events per ad group. Maintain enough spend on both to keep your audiences warm and your algorithms learning, so you’re never rebuilding from zero.

3. Increase Creative Velocity

On TikTok, creative has a short shelf life. Volatile auctions accelerate that decay further. Volatile auctions accelerate that decay. Have new creative variations ready to deploy before you need them, not after performance has already dropped.

4. Tighten Weekly Reporting Cadence

Temporarily shift from monthly to weekly performance reviews. CPM movement and conversion rate shifts during algorithm retraining happen fast. Catching them early gives you time to adjust bids before small inefficiencies compound.

5. Audit Platform Dependency

You want to ensure you’re spending enough to gain traction, but not so much that one platform can make or break your marketing success. Roughly 13 percent of agencies’ social spend over the past 12 months has gone to TikTok. If TikTok represents more than 30 percent of your paid social budget, you have concentration risk that deserves a contingency plan. 

Zooming Out: Governance Is Now a Media Planning Variable

The TikTok case underscores a growing tension between digital privacy and free speech in the government’s approach to technology platforms. As apps collect vast amounts of user data, governments will likely continue scrutinizing foreign-owned platforms.

Timeline_titulo-1024×576.jpg

 Source: Metricool

That scrutiny isn’t going away, and it won’t stay limited to TikTok. If another foreign-owned platform gains popularity, Congress may revisit this model of ownership-based restrictions. The legal and regulatory architecture built around TikTok is now a template.

Meanwhile, data sovereignty pressures are intensifying globally. Governments worldwide are restricting cross-border transfers and asserting jurisdiction over data within their borders, possibly touching every major platform operating at scale in the U.S. market.

Platform risk is no longer purely a performance question. Ownership structure and data governance now belong in the same due diligence conversation as CPM benchmarks and audience sizing. A channel that delivers strong return on ad spend (ROAS) today can face structural disruption tomorrow for reasons unrelated to its ad product.

FAQs

Did TikTok Sell?

On January 22, 2026, TikTok closed a deal to divest its U.S. entity to a joint venture controlled by American investors, with Oracle, Silver Lake, and MGX collectively owning 45 percent of the new entity. ByteDance retained nearly 20 percent. The platform continues operating under U.S. majority ownership as TikTok USDS Joint Venture LLC.

How Much Did TikTok Sell For?

The deal valued TikTok U.S. at approximately $14 billion, a figure widely considered low given that TikTok’s U.S. entity generates roughly $14 billion annually in advertising revenue alone.

Analysts have noted that the $14 billion price tag gives the company a price-to-sales ratio comparable to that of mature, low-growth companies, far below the multiples commanded by Meta and Alphabet. Most independent estimates put TikTok U.S.’s true market value significantly higher.

Conclusion

TikTok remains a Tier 1 paid media channel. The U.S. market accounts for roughly 38 percent of TikTok’s entire global advertising income, a concentration that reflects genuine advertiser confidence. That doesn’t change because of a governance restructuring.

What does change is how you should think about it. Tier 1 status doesn’t mean risk-free. The TikTok sale established a precedent for how governments can intervene in platform ownership, and that precedent applies beyond TikTok. Every major platform you rely on now carries some version of this risk.

The smart move is better planning.

Stay active on TikTok while the auction competition is still recovering. Build a paid media strategy that lets you flex budgets quickly when conditions shift. Define your thresholds now so you don’t make reactive decisions under pressure, and keep your creative velocity high. Short-form content gives you a low-cost way to keep creative cycling regardless of what’s happening at the platform level.

The platforms that attract 170 million users don’t disappear overnight. Build your strategy around that reality.

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Google expands UCP checkout to main search shopping results

Earlier this year, Google announced Universal Commerce Protocol (UCP), a protocol to allow AI-agents to buy directly from search. This went live only in Google’s AI Mode interface in February. But now, it seems to be rolling out in the main Google Search results where there are retailers that support UCP.

What it looks like. Brodie Clark posted a screenshot, which I can replicate, of the UCP-powered “Buy” button in the product detail overlay within Google Search, specifically for the retailer Wayfair. Here is his screenshot:

Clicking the Buy button will connect your Google checkout account with Wayfair and make the purchase without having to go to the Wayfair website to checkout.

About UCP. UCP establishes a shared language between AI agents and commerce systems, removing the need for custom integrations across agents or platforms.

  • UCP works with existing standards (e.g., Agent2Agent, Agent Payments Protocol, and Model Context Protocol).
  • Google co-developed it with partners including Shopify, Etsy, Wayfair, and Target.
  • More than 20 additional companies across retail and payments have already endorsed it.

Why we care. A lot of people are saying AI-agents are the future of the web, well, here is a clear sign of how agents can help retailers make money. While Wayfair did not get any traffic from Google for this query, and there is no click, 0 click-through rates from Google Search. There was an impression in Google Search that led to a purchase without any clicks to the web site.

This won’t necessarily stop all searchers for wanting to visit the site and learn more about the product before purchasing. Just like it doesn’t stop all buyers from going into a physical store to touch and feel the product before purchasing. But some may just click “Buy” and never visit your site.

Now that it is rolling out in the main search results, it is something to keep a closer eye on.

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Google rolls out new data, experimentation and MMM tools to improve measurement

Google is rolling out new tools to help advertisers better understand performance across increasingly complex customer journeys.

What’s happening. As AI continues to transform campaigns, creatives and targeting, Google is introducing updates focused on data integration, experimentation and media mix modelling — all aimed at helping marketers turn fragmented signals into actionable insights.

Why we care. Automation has made it easier to run campaigns, but harder to understand what’s actually working. These updates make it easier to connect data, prove what’s actually driving results, and make smarter budget decisions across channels. As AI handles more of the execution, having strong measurement in place becomes the key differentiator for performance and growth.

Data is the starting point. Google is expanding its Data Manager to give advertisers a clearer view of how their data flows across platforms like BigQuery, HubSpot and Shopify.

A new map-based interface will help marketers visualise connections between data sources and identify gaps in tracking or configuration. At the same time, updates to the Google tag aim to simplify setup, allowing advertisers to upgrade existing tags without additional coding.

The goal: make it easier to unify signals and improve data quality — which directly impacts campaign performance.

Between the lines. Google is acknowledging a long-standing issue — advertisers struggle more with data setup and integration than with campaign execution itself.

By simplifying tagging and data flows, Google is trying to remove one of the biggest blockers to effective AI adoption.

Proving what actually works. Google is also introducing Meridian GeoX, a new geo-experimentation tool designed to measure incremental impact across regions.

Built on an open-source framework, GeoX feeds into Google’s broader Marketing Mix Model, Meridian, giving advertisers a more defensible way to validate performance — especially when presenting results to finance teams.

This signals a shift toward causal measurement, not just correlation.

Why it matters. As privacy changes reduce visibility and attribution becomes more complex, marketers are under pressure to prove impact. Tools like GeoX aim to provide that “ground truth” — something many attribution models struggle to deliver.

Simplifying media mix modelling. To address the complexity of Marketing Mix Models (MMMs), Google is launching Meridian Studio — a Google Cloud-powered platform that helps teams build, customise and scale models more easily.

The focus is on operationalising MMMs, making them less resource-intensive and more accessible for enterprise teams managing large datasets.

What to watch:

  • Whether advertisers adopt MMMs more widely with simplified tools
  • How effective GeoX is in proving incremental impact
  • If improved data visibility translates into better campaign performance

Bottom line. Google is making a strategic shift: in an AI-driven world, better measurement — not just better automation — will determine who wins.

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