CiteMetrix

11/04/2026

A person asks ChatGPT one question. The answer may depend on several smaller searches behind the scenes: one for an official product page, another for pricing, and another for reviews or comparisons. That process, often called query fan-out, is a useful new lens for LLM SEO.

For practitioners, the takeaway isn’t simply “write more content.” It’s to understand the distinct questions an AI assistant may need to answer, make your brand’s most reliable information easy to retrieve, and check whether your visibility changes across platforms and over time.
What query fan-out means for LLM SEO
In an October 2026 study, Ahrefs analyzed 66.6 million free, logged-out ChatGPT responses from August and September, along with about 15 million fan-out queries. Its findings add important nuance to the idea that every prompt triggers a bundle of searches:

- 14.4% of the responses triggered a web search.
- When ChatGPT searched, it generated about 1.6 fan-out queries per response on average.

11/03/2026

A German court has held Google responsible for an AI answer assembled from true facts, because those facts belonged to someone else.

That is the unsettling point at the center of a reported case from Aachen. It also shows why monitoring whether AI mentions your brand is not enough. You need to know whether the answer describes the right entity, and whether its claims match facts you have verified.

In his October 25, 2026 Substack article, “AI Search Is Merging Businesses With Their Lookalikes, and German Courts Are Starting to Hold the Platforms Responsible,” Duane Forrester reports on the Aachen case and explains the underlying failure. He calls it entity conflation: an AI system merges two distinct people or organizations and speaks about the combined result as if it were one.

Forrester deserves credit for both the reporting and the term. The practical lesson for marketers is clear: AI search visibility must include accuracy checks, not just citation counts.

11/02/2026

By Eric Richmond, Founder of CiteMetrix

Zero-click marketing works. That is also what makes it difficult to defend in a channel-level report.

A buyer may see your brand in an AI answer, a LinkedIn post, a search summary, or another platform-native format. They may find the answer useful, remember your name, and return weeks later through a branded search or direct visit.

Your analytics report may show none of that.

Instead, the report says the campaign generated impressions but few clicks. Impressions do not prove influence. Referral traffic proves a visit, but it misses the value created before the visit ever happens.

This is the measurement problem behind zero-click marketing: when the audience consumes the value without clicking, you need a visibility metric built for influence rather than sessions.
The click-based model breaks down in AI
Traditional digital reporting assumes a relatively linear path:

- A person sees content.
- They click.
- They visit your site.

By Eric Richmond, Founder of CiteMetrix Zero-click marketing works. That is also what makes it difficult to defend in a channel-level report. A buyer may see

10/30/2026

By Eric Richmond, CiteMetrix

A page cannot be cited by an AI system if the system cannot read it.

That sounds obvious, but crawler access has often been treated as a background technical setting: something for developers, infrastructure teams, or a robots.txt review once a quarter.

That is changing.

In Zyppy Signal’s September 16, 2026 survey, more than 130 search experts rated “AI Crawl Access & Snippet Eligibility” as the most important factor affecting whether a page is surfaced or cited in Google AI answers. It scored +2.20 on a seven-point scale, ahead of query-answer match and brand or entity memory.

As Fili Wiese of Search Brothers put it in the survey:
“Access works as a hard gate ahead of any ranking consideration.”
That is the important distinction. Content quality, authority, and brand knowledge matter, but they matter after a system can access and use your content.

Your crawler settings are now part of your visibility strategy.

By Eric Richmond, CiteMetrix A page cannot be cited by an AI system if the system cannot read it. That sounds obvious, but crawler access has often been treat

10/29/2026

By Eric Richmond, CiteMetrix

The better your repositioning campaign, the more surprising the failure can be.

You announce the change publicly. You update the homepage, product pages, paid media, and social profiles. You secure national coverage. Then someone asks ChatGPT what your company does, and receives an answer describing the business you left behind.

That is what happened in one of the examples documented by Semrush in “The LLM positioning lag: What it is and how to avoid it,” written by Dana Nicole with Alex Lindley and published September 29, 2026.

Hotjar was acquired by Contentsquare in 2021 and officially merged by July 2025. Contentsquare documented the change through press releases, blog posts, support documentation, video, and a dedicated landing page.

More than a year after the merger, Semrush asked ChatGPT for the best heatmapping software. The answer still returned Hotjar as its own product, without mentioning Contentsquare.

The repositioning shipped.

10/28/2026

By Eric Richmond, Founder of CiteMetrix

For twenty years, “winning” in search meant being in position one.

The goal was simple: rank above the other results, earn the click, and move the buyer toward a decision.

Conversational search changes that sequence.

When a buyer asks ChatGPT, Perplexity, Claude, Gemini, or another AI assistant a question, the first answer is not the decision. It is the opening bid.

The buyer who is still asking questions has not chosen anything yet.

They are clarifying. Adding constraints. Comparing options. Looking for proof. Testing whether the recommendation holds up.

A brand can be named first in the opening answer and still lose the buyer five questions later.

That is the strategic gap most AI visibility programs are not yet measuring: not whether your brand appeared once, but whether your position survived the conversation.

10/27/2026

By Eric Richmond, CiteMetrix · September 23, 2026

A default can be useful.

It can also be a decision made on your behalf.

That is the tension behind Cloudflare’s Bot Preference Sync. According to Search Engine Watch, Cloudflare now writes AI crawler settings directly into robots.txt. The feature has been enabled by default for new customers since August 21, with the behavior refined on September 15.

Convenient? Yes.

But the setting is being applied at the CDN layer, above the content team that may have written the original crawler policy. And when an automated system translates a broad preference into a live file, the nuance does not always make the journey.

This is not a reason to panic. It is a reason to audit.
Related reading: In our earlier piece, Your Crawler Settings Are Now a Visibility Decision, Not a Technical One, we covered why search indexing, AI training, and AI answers are three separate permissions.

By Eric Richmond, CiteMetrix · September 23, 2026 A default can be useful. It can also be a decision made on your behalf. That is the tension behind Cloudfl

10/26/2026

In a dashboard, a counted number and an estimated number can look exactly the same.

Duane Forrester makes this point in Duane Forrester Decodes: both numbers may appear as clean, confident figures in a chart, but only one can be checked. The other is an interpretation presented with the visual authority of a fact.

That distinction matters everywhere in marketing analytics. It matters even more in AI visibility.

A credible AI visibility dashboard should not only tell you what changed. It should tell you what it directly observed, what it inferred from those observations, and what it cannot see.
AI visibility is measured through a sample
Traditional analytics also involves assumptions, but many of its core events are directly recorded.

A pageview is recorded by an analytics system. A form submission creates an event. A crawler request appears in server logs.

In a dashboard, a counted number and an estimated number can look exactly the same. Duane Forrester makes this point in Duane Forrester Decodes: both numbers m

10/22/2026

By Eric Richmond

Three Google announcements in one week changed the shape of holiday commerce:

- September 16: Search Engine Land reported that Google expanded agentic commerce tools in Merchant Center, including UCP-powered checkout, cart transfers to merchant sites, improved checkout-flow testing, and expanded AI performance metrics.
- September 16: Search Engine Watch reported that Google introduced Business Agent in YouTube ads, allowing eligible retailers to answer product questions inside the ad experience.
- September 22: Search Engine Land reported that Google opened native AI checkout to eligible Shopify merchants, allowing qualifying US-based merchants selling to US customers to complete purchases inside Google AI Mode and the Gemini app.

The interpretation is straightforward: this is no longer just experimentation. It is infrastructure being laid before the highest-stakes shopping window of the year.

By Eric Richmond Three Google announcements in one week changed the shape of holiday commerce: September 16: Search Engine Land reported that Google expande

10/21/2026

Nearly every AI visibility test in the wild follows the same pattern: ask one question, record the answer, and check whether the brand appeared.

That tells you something about the opening answer. It tells you almost nothing about the decision.

A buyer rarely asks one question and immediately takes action. They clarify the problem, add constraints, compare options, validate the risks, and then decide what to do next.

Search Engine Land’s Louisa Frahm made this point in “The follow-up query: Rethinking SEO for conversational search,” published September 15, 2026. The article frames modern search as a sequence of questions rather than a single interaction.

That framing matters because a brand can appear in the opening answer and vanish from the conversation five minutes later.

The follow-up query is where consideration is actually decided.
Search is now a chain, not a prompt
A useful buyer conversation usually moves through five stages:

- Clarify: What is the problem?

Nearly every AI visibility test in the wild follows the same pattern: ask one question, record the answer, and check whether the brand appeared. That tells you