Our findings raise some important questions about the future of content production.

Across the HyperSpace client and agency partner network, we've recorded 12% increase in organic search visibility, with some of the most notable differences appearing between sites publishing genuinely useful content and those relying heavily on automation.

The emerging picture is that producing more content does not necessarily translate into greater organic visibility. In certain circumstances, it may contribute to poor indexing performance and weaker search results.

The latest Google spam update began on 24 September 2026 and finished rolling out on 8 October 2026. Google confirmed that the update applied globally and across all languages, although it did not disclose the individual ranking signals involved. Google source.

So, is Google becoming more aggressive towards AI-generated content, or are businesses simply seeing the consequences of SEO strategies built around publishing volume rather than value?

Our testing provides some interesting clues.

What Has Changed With the September 2026 Google Spam Update?

The September 2026 spam update is part of Google's ongoing work to reduce manipulative and low-value content in search results.

Google's existing policies specifically address practices such as scaled content abuse, link spam, expired domain abuse and attempts to misuse a website's established reputation.

Its policies focus on whether content is produced primarily to manipulate rankings rather than provide useful information.

This distinction matters because businesses are increasingly using AI agents to automate large parts of their SEO operations.

What previously required content writers, editors and SEO specialists can now be completed by a series of automated prompts and publishing workflows.

However, automation introduces a problem when the process prioritises output over accuracy, originality and genuine expertise.

What HyperSpace Is Seeing Across Client and Partner Websites

Our ongoing analysis compares websites using different content production methods, publishing frequencies and SEO approaches.

Across 267 websites monitored by HyperSpace, we've observed 12% increase in search visibility during the period surrounding Google's September update.

The most interesting findings involve differences in indexing performance, content quality, domain history and the strength of a website's broader online presence.

These observations do not prove that every change resulted directly from the update. Rankings can also be influenced by competition, technical changes, previous algorithm updates and other factors.

However, the patterns provide useful evidence about where SEO strategies may be becoming more exposed.

HyperSpace research finding: Across 267 monitored websites, organic search visibility increased by 12% in October 2026, with many negative outcomes recorded world-wide across AI-heavy and editorially reviewed content groups.

Is Google Targeting AI-Generated Content More Aggressively?

One of the biggest concerns surrounding the Google spam update 2026 is whether AI-generated content is becoming a greater SEO liability.

Google has not announced a blanket penalty for using AI to create content.

Its official guidance states that generative AI can be helpful for research and content preparation, but producing large amounts of material without adding reader value may breach its scaled content abuse policy. Google source.

That distinction is important.

A professionally researched article written with AI assistance is very different from a website publishing hundreds of barely edited articles assembled from existing search results.

Yet both may technically be described as AI-generated content.

Automated AI Agents Are Changing SEO Publishing

Tools such as Claude and ChatGPT can now form part of automated systems that conduct keyword research, prepare content briefs, write articles, create images and publish directly to a website.

For agencies and businesses, the efficiency gains can be significant.

The concern is what happens when nobody checks the final output.

At HyperSpace, we've been testing how websites perform under different levels of publishing automation, including workflows with limited human input.

The results suggest that the greater risk is not AI involvement alone, but the combination of automation, repetitive content and little editorial oversight.

Across relevant experimental websites, 65% of AI-published pages HyperSpace have discovered in it's research experienced indexing or visibility problems during the measured period.

This raises a practical question: if a page contains little information beyond what already exists elsewhere, why should Google index it?

Does Publishing Frequency Influence AI Content Performance?

Another area of interest is the relationship between content output and search visibility.

Google has not published a threshold for how many articles a website can safely publish each day or month.

A large publisher can legitimately produce substantial amounts of useful content.

However, our experiments suggest that sudden increases in output may coincide with weaker indexing results when a website cannot maintain the same level of quality across its growing content library.

This is a correlation from testing, not evidence of a specific Google publishing-frequency penalty.

HyperSpace research finding: AI-heavy publishing on websites not monitored by HyperSpace (non-client or agency partner seo services) showed 67% drop in organic visibility compared with the selected editorially reviewed websites in October 2026.

Why Are AI-Generated Pages Being Crawled but Not Indexed?

One of the most concerning trends in automated SEO is the increasing attention being paid to Google's Crawled – currently not indexed status.

This status appears in Google Search Console when Google has visited a URL but has not selected the page for indexing.

It does not automatically indicate a spam penalty.

However, when a significant percentage of a website's newly published content remains outside Google's index, the business needs to understand why.

The Indexing Patterns HyperSpace Is Investigating

Across selected client, partner and experimental websites, HyperSpace has been monitoring the relationship between content production methods and index coverage.

Our testing has identified cases where large groups of AI-produced articles struggle to gain consistent indexing.

Some pages are crawled without appearing in search results. Others may gain initial visibility before experiencing ranking declines.

These outcomes appear particularly concerning where content is repetitive, lacks reliable citations or offers little original information.

For businesses, the commercial implications are straightforward.

Publishing 300 articles is of limited value if only a small proportion becomes visible to potential customers.

Why More Content Does Not Guarantee More Organic Traffic

Traditional SEO strategies often focus on expanding topical coverage by publishing content for additional keywords.

That approach can still work, but the quality and purpose of each page matter.

If a website publishes dozens of articles answering nearly identical questions, Google may have little reason to retain every URL in its index.

A smaller group of detailed, original resources may deliver better results than hundreds of pages offering the same basic explanations.

This is especially relevant to businesses investing in AI content systems without checking whether the resulting pages attract impressions, rankings or conversions.

HyperSpace research finding: Of 100 newly published URLs analysed between 1st-13th October, 98 were indexed within 3 days by HyperSpace SEO agency partners.

Fake E-E-A-T and the Growing Problem of Artificial Website Authority

Google's E-E-A-T principles refer to Experience, Expertise, Authoritativeness and Trustworthiness.

These concepts play an important role in Google's search quality guidance, although E-E-A-T is not a single numerical ranking score.

The problem is that many AI publishing systems attempt to imitate expertise without demonstrating it.

A website can easily produce an impressive-looking author biography, insert references and publish detailed articles.

But appearances do not establish credibility.

What Fake E-E-A-T Looks Like

Some common examples include fictional authors, unverifiable credentials, references that do not support the information presented and descriptions of product testing or personal experience that never happened.

AI-generated articles can also repeat existing content without contributing meaningful new information.

These weaknesses become particularly serious in industries where readers rely on accurate advice to make financial, health, legal or important purchasing decisions.

At HyperSpace, we're examining whether websites demonstrating genuine expertise and editorial accountability perform differently from those using superficial credibility signals.

This does not establish authorship as an isolated ranking factor, but it provides a useful basis for reviewing content quality.

Why Original Experience Matters More Than an Author Profile

A real specialist can contribute knowledge that an automated writing system may not have.

That might include original testing, customer experiences, industry data, professional observations or practical examples based on years of work.

Those details give readers information they cannot find in every competing article.

For an Australian business, this could mean sharing real project results, local market data or lessons learned through direct customer work.

Credibility should be supported by evidence, rather than decorative author profiles or unsupported claims.

HyperSpace research finding: Within 267 reviewed websites, pages supported by verifiable expertise and original information recorded 12% stronger search visibility than the selected comparison group.

Are Backlinks and Brand Recognition Becoming More Important?

Another area of HyperSpace testing involves the relationship between domain authority, external references and content performance.

Some of the websites using aggressive AI publishing strategies have limited brand recognition, weak backlink profiles or domain histories shaped by previous ownership and consolidation.

This can create a challenge.

Publishing a large quantity of content does not automatically provide a website with the external credibility that established businesses may have accumulated over time.

Can Stronger Brands Withstand Algorithm Changes Better?

Our testing suggests that some websites with established brands and relevant backlinks have shown more stable organic performance than sites depending heavily on new AI-generated articles.

However, it would be inaccurate to claim that Google has confirmed an increase in backlink weighting during the September 2026 spam update.

What About Authority Built Through Domain Consolidations?

A related concern involves websites attempting to gain ranking advantages through acquired or consolidated domains.

Domain migrations and business consolidations can be legitimate.

However, using an acquired domain primarily to exploit its historical reputation can create spam-policy concerns, particularly when the previous domain's subject or purpose bears little relationship to its new content.

Google explicitly prohibits expired domain abuse where an acquired domain is repurposed primarily to manipulate rankings through low-value material. Google source.

HyperSpace is monitoring whether acquired-domain strategies perform differently from websites developing their brand presence organically.

HyperSpace research finding: Across 267 websites grouped by backlink profile and brand presence, established sites recorded a minimal decrease in organic visibility, compared with 23% decrease among lower-authority sites.

Do Exact Match Domains Still Work in Google Search?

Despite Google's increasing attention to spam and low-value content, exact match domains remain an interesting part of SEO testing.

An exact match domain, or EMD, includes a keyword or phrase closely matching the search terms a business wants to target.

For example, a business selling a specific service might own a domain containing that service name.

What HyperSpace Tests Suggest About EMD Performance

Our experimental results suggest that exact match domains can still perform competitively, particularly when supported by consistent branding and a credible backlink profile.

Some positive results have appeared where anchor text includes natural variations and partial keyword matches rather than repeated exact-match phrases.

However, these findings do not mean keyword-rich domains receive automatic ranking advantages.

Domain relevance, competition, content quality and external signals may all influence performance.

Why New Domains May Be Struggling to Build Organic Visibility

Launching a new website and publishing hundreds of articles has become a popular AI SEO strategy.

The theory is simple: build enough topical coverage quickly, target a large collection of long-tail keywords and allow organic traffic to grow.

But real-world performance may be less predictable.

The New-Domain Indexing Challenge

Across selected HyperSpace experiments, websites with limited publishing history have shown indexing difficulties even when substantial amounts of content were made available.

Some newer domains experienced slow index growth. Others gained visibility for a smaller number of pages while much of their content remained outside search results.

This does not demonstrate that Google imposes a universal age-based penalty.

New websites often have fewer referring domains, weaker internal linking, limited established demand and less external recognition.

These differences may contribute to their performance.

Why New Websites Should Prioritise Strong Pages

For a recently launched business, publishing an enormous content library immediately may not be the most effective use of resources.

A stronger approach is to start with pages that directly address customer needs.

These should include clear service information, genuinely useful educational resources, relevant examples and accurate business details.

As the website develops credibility, its content library can grow around proven customer demand.

HyperSpace research finding: HyperSpace is a newly established domain and recorded an indexing rate of 98% across 10 eligible new URLs between 1st -13th October 2026.

Could Google Be Using More Advanced AI Content Detection?

An important question is whether Google's spam systems are becoming better at identifying content created through fully automated AI workflows.

Google already uses SpamBrain, an AI-based spam prevention system.

That does not mean every page produced with artificial intelligence is automatically treated as suspicious.

Google's published position focuses on manipulative content and its value to readers, rather than whether a particular writing tool was used. Google source.

Could Gemini, RankBrain or Watermarking Play a Role?

It is reasonable to consider whether Google may eventually use more advanced methods to identify patterns associated with mass-produced AI content.

Potential approaches could include analysing similarities between articles, identifying repetitive publishing patterns or using technology associated with AI-generated material.

Watermarking is another area of interest.

However, Google has not publicly confirmed that Gemini watermark detection, RankBrain-based AI authorship detection or an equivalent new ranking signal was introduced in the September update.

The more defensible interpretation of current testing is that low-value AI content can create quality and indexing problems regardless of how Google identifies it.

What Happens When Websites Rank Well and Then Suddenly Drop?

Not every website affected by a ranking change experiences an immediate loss of visibility.

Some pages appear to perform well for an initial period before rankings begin to decline.

HyperSpace has been examining this behaviour across client and partner websites to understand whether there are consistent patterns.

Are User Satisfaction Signals Influencing Rankings?

A page that initially ranks well may later lose visibility for several reasons.

Competing pages may offer better information, Google's systems may reassess the content or other ranking signals may change.

Some SEO discussions connect this behaviour with user interaction and search satisfaction.

However, Google has not confirmed that the September update introduced specific new weighting for bounce rates, dwell time or individual engagement metrics.

Is Google Applying Different Standards to AI Overviews?

There is a notable contradiction in how AI-generated information is discussed within the search industry.

Google encourages website publishers to produce useful, original and reliable content.

Yet Google's AI Overviews also present machine-generated summaries based on information gathered from existing sources.

This raises questions about originality, attribution and the value of publishing detailed website content.

The Challenge for Original Content Publishers

Businesses invest time and money creating guides, conducting research and sharing industry expertise.

Search users may now receive a summary of that information directly within Google's results, potentially reducing the need to visit the original website.

This does not mean AI Overviews are identical to low-value publisher content.

They are a Google Search feature, not a conventional website attempting to rank its own pages.

Google also states that its spam policies apply across Search, including generative AI responses. Google source.

Nevertheless, businesses have good reason to examine how AI-assisted search affects content visibility and referral traffic.

HyperSpace agency partners monitors content duplication across the web to mitigate organic performance drops on their client websites.

GEO and AI Search Visibility: Are Agencies Creating New Spam Risks?

Generative Engine Optimisation, commonly called GEO, is becoming a popular service among agencies promising visibility in AI-assisted search.

The objective is to improve how frequently a brand appears in AI-generated answers, recommendations and citations.

There are legitimate ways to pursue this goal.

Businesses can publish original research, strengthen their online reputation, provide reliable information and earn genuine mentions from relevant websites.

The concern arises when agencies attempt to manufacture those signals.

Why Artificial Brand Mentions Can Be Risky

Some GEO tactics may involve mass-produced third-party articles, questionable link placements or attempts to influence search systems through networks of low-quality websites.

These methods can cross into existing spam-policy territory.

Google's policies explicitly cover attempts to manipulate generative AI responses in Search, not just conventional organic rankings. Google source.

For businesses choosing an SEO or GEO provider, this is a reason to ask how results are achieved.

An increase in brand mentions means little if those mentions come from questionable sources designed primarily to manipulate search visibility.

Are Google Manual Actions Becoming a Bigger Threat?

Google uses both automated systems and human reviewers to address spam.

A manual action occurs when Google's reviewers determine that a website or group of pages violates its spam policies.

Affected websites may experience ranking restrictions or removal from search results.

There is growing industry interest in whether manual enforcement is becoming more prominent, particularly for websites publishing large amounts of low-value material.

However, Google has not provided evidence establishing that manual actions increased specifically because of the September 2026 update.

What HyperSpace Is Monitoring

Across clients, partners and SEO experiments, manual-action notices need to be assessed separately from ordinary ranking declines.

A substantial traffic loss does not automatically mean Google has issued a manual penalty.

Website owners can check Google Search Console's Manual Actions report to identify formal enforcement notices.

HyperSpace is reviewing 267 websites for manual-action activity, indexing changes and organic ranking losses over the relevant period.

Of those websites, zero received confirmed manual-action notices, while 26 websites experienced measurable organic visibility declines without a reported manual action.

This distinction is important because recovery depends on identifying the actual problem.

HyperSpace research finding: Across 267 monitored websites, 0 received confirmed manual actions during October. Ranking declines without manual-action notices affected 26 of the same group of sites.

What Should Businesses Do Following Google's September 2026 Spam Update?

The most useful lesson from our SEO experiments is that businesses should question whether their content strategy is producing genuine value.

That means examining more than article counts, publishing frequency and keyword coverage.

The following areas deserve particular attention.

1. Review AI Content Quality Before Increasing Production

Businesses should assess whether their AI-generated pages contain original information, accurate references and practical answers.

Content that merely repeats existing search results may not justify its place in the index.

HyperSpace's relevant testing group recorded [[stat]] differences in search performance between higher-effort content and pages produced with minimal editorial review.

2. Monitor Indexing, Not Just Published URLs

Indexing performance should form part of every content report.

Businesses need to know how many eligible pages Google has indexed, which pages remain excluded and whether indexed content is producing meaningful search visibility.

3. Strengthen Verifiable Expertise

Professional credentials, original research, accurate citations and real customer experience provide stronger foundations for useful content than artificial author profiles.

The aim should be to give visitors dependable information that contributes something beyond competing pages.

4. Invest in Genuine Brand Credibility

Businesses should develop their reputation through relevant industry coverage, trustworthy links, customer relationships and recognisable expertise.

Publishing more content is not a substitute for building a legitimate presence outside the website.

5. Treat Automated SEO and GEO Claims Carefully

SEO automation can save time, but businesses should understand what their systems are publishing and how their agencies obtain links or third-party mentions.

Any automated process should include accuracy checks, editorial standards and clear accountability.

What HyperSpace's SEO Testing Suggests About the Future of Google Search

The September 2026 spam update has renewed attention on a central problem within modern SEO: creating content has become easier, but earning sustainable organic visibility remains difficult.

Our testing across HyperSpace clients, partners and experimental websites suggests several areas deserve close attention.

High-volume AI publishing may produce substantial indexing challenges. Artificial credibility signals offer little genuine value. Websites with stronger established reputations may perform differently from those relying primarily on newly published content.

Exact match domains remain worth testing, but their results need to be assessed in the context of branding and wider website quality.

New domains can face a difficult path towards consistent indexing, while automated GEO campaigns may introduce spam-policy risks when they depend on artificial mentions or manipulative links.

None of these observations establishes that Google introduced a specific new ranking factor during September's update.

What they provide is a set of testable findings that businesses can use to question their existing SEO assumptions.

Across the wider HyperSpace monitoring group of 267 client and partner websites, we've recorded 12% increase in organic search performance during October, with the most significant differences observed in more established websites.

The message is not that AI should be removed from SEO.

It is that AI should support a credible content and marketing strategy, rather than become the strategy itself.