---
title: "GPT-5.6 Listicle Citations : What 161 Queries Fan-out Show | Justin Hà"
description: "GPT-5.6 cut listicle and Reddit citations industry-wide. See why GEO-consultant queries in Vietnam did not follow the same pattern."
url: https://justinha.info.vn/geo/gpt-5-6-killed-listicle-citations/
---

# GPT-5.6 Listicle Citations : What 161 Queries Fan-out Show | Justin Hà

# 
            GPT-5.6 Listicle Citations: What Changed, What *Didn’t*        

        
            Written by
            [Justin Hà](https://justinha.info.vn/about/)
            ·
            
                September 19, 2026            
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                            ![A ChatGPT answer citing a third-party Top GEO Agency roundup listicle alongside direct brand sources](https://justinha.info.vn/wp-content/uploads/2026/09/listicle-format-citation-chatgpt.jpg)                
            
                
                    
                        
                    
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                                            - Industry-wide, ChatGPT's use of the site: search operator jumped from about 0.4% to 17% of fan-out queries within days of GPT-5.6 shipping in early August 2026. Source: Promptwatch, via TechRepublic.

                                            - Reddit's share of ChatGPT citations fell 86.4%, from 3.83% to 0.52%, in the same week. Source: Promptwatch, via Axios.

                                            - In our own 161-conversation dataset, captured after GPT-5.6, the site: filter rate for GEO-consultant queries was 22.4% (36/161), close to the new industry pattern.

                                            - Despite that, listicle-style "Top GEO Agency" pages were still cited in up to 34.8% of the same conversations, far more than the industry-wide "cut in half" headline would predict.

                                            - The likely reason: "who is a GEO expert in Vietnam" is a discovery-style query, the same category where a separate hotel-search study found listicle citations went up, not down, after GPT-5.6.

                                    

            
        
        
            

ChatGPT changed how it finds sources in August 2026. The change is well documented industry-wide. What is less documented is whether it applies equally to every type of question, and our own tracked data says it does not, at least not for one specific niche.

This article combines two things: independently reported industry data on the GPT-5.6 shift, and our own 161-conversation dataset tracked with ChatGPT Search Tracker, captured after that shift.

Number
What it measures

0.4% → 17%
Industry-wide site: operator use in fan-out queries, before vs after GPT-5.6

86.4%
Drop in Reddit’s share of ChatGPT citations, same week

84.8% → 77.8%
Listicle citation rate in our own data, without vs with a site: filter

100% → 15%
Range in listicle citation rate across the 12 prompt phrasings we tracked

## What Changed When GPT-5.6 Shipped

On August 8, 2026, ChatGPT began scoping far more of its background searches to specific domains instead of the open web. Promptwatch, an AI-visibility tracking platform, measured the shift directly in its fan-out query data.

Metric
Before Aug 8, 2026
After Aug 14, 2026

site: operator share of fan-out queries
~0.4%
~17%

Reddit share of ChatGPT citations
3.83% (Jul 18–Aug 7 avg)
0.52% (through Aug 17 avg)

Listicle citation share (Peec AI, 1M-prompt panel)
Baseline
Cut roughly in half

Source: Promptwatch, reported by TechRepublic and Axios, Aug 2026; Peec AI / Tomek Rudzki panel analysis, 2026.

> A shift in ChatGPT’s source selection is the obvious candidate.
> Klaas Foppen, Promptwatch co-founder and CTO, Aug 2026

A separate analysis from Trackerly adds a detail industry coverage mostly missed. ChatGPT did not stop reading Reddit: roughly one in four pages it retrieved was still a Reddit thread through the same week. It stopped putting those threads in the final answer. That gap between a page ChatGPT retrieves and a page it actually cites is its own diagnostic problem, covered in our breakdown of [why a page gets crawled by AI bots but never cited in an answer](https://justinha.info.vn/geo/ai-crawled-not-cited-fix/).

## Does This Apply to Every Query Type?

Not evenly, and not for the reason usually assumed. A separate hotel-search study re-ran the same before/after comparison on a different query shape and found listicle citations went up, not down, after GPT-5.6.

> **This only applies to some query shapes.** In a hotel-search corpus, listicle citation share went up after GPT-5.6, not down, and site: searches stayed at 0% before and after. Discovery-style questions like “best hotels in Bangkok” treat a listicle as the native answer format, not a workaround.
> Source: Nicolas Sitter, research note, 2026.

Our own 161-conversation dataset is built on discovery-style questions too, all versions of “who is a GEO expert in Vietnam.” We checked two things directly in our own data rather than relying on the hotel-study analogy alone: whether site: filters actually suppress listicle citations in the same conversation, and which exact question phrasings drive that suppression.

## What 161 GEO-Consultant Queries in Vietnam Show

All 161 conversations were captured after GPT-5.6 shipped, asking ChatGPT to find a [GEO](https://justinha.info.vn/geo/what-is-generative-engine-optimization/) or AI visibility expert in Vietnam. ChatGPT added a self-generated site: filter in 36 of those 161 answers.

site: target
Source type
Fan-out queries

site:linkedin.com/in
Personal LinkedIn profiles
27

site:linkedin.com
LinkedIn pages generally
5

site:upwork.com
Freelance marketplace listings
4

site:gtvseo.com
One named competitor’s own domain
3

site:seongon.com
One named competitor’s own domain
3

site:toponseek.com
One named competitor’s own domain
2

Source: ChatGPT Search Tracker, 161 conversations, Sep 16–17 2026.

At 22.4%, our site: filter rate sits close to the new industry-wide average Promptwatch measured. The same dataset also showed ChatGPT selecting one specific brand before running any search at all, a separate pattern detailed in [our analysis of ChatGPT’s query fan-out behavior](https://justinha.info.vn/geo/chatgpt-decides-who-wins-before-it-searches/).

## Listicles Are Down, Not Dead, in This Niche

Despite the heavier site: usage, roundup-style “Top GEO Agency” pages on third-party domains were still cited at meaningful rates across the same 161 conversations.

Roundup domain
Cited in
Share of 161

toponseek.com
56
34.8%

hashmeta.com
55
34.2%

saigon.digital
44
27.3%

dichvugeo.vn
44
27.3%

aigcmkt.com
29
18.0%

blog.applabx.com
25
15.5%

sota.media
25
15.5%

firstpagesage.com
19
11.8%

Source: ChatGPT Search Tracker, 161 conversations, Sep 16–17 2026.

![A ChatGPT answer citing a third-party Top GEO Agency roundup listicle alongside direct brand sources](https://justinha.info.vn/wp-content/uploads/2026/09/listicle-format-citation-chatgpt.jpg)A roundup-style listicle citation appearing inside a real ChatGPT GEO-consultant answer.

Peec AI’s panel found listicle citations cut roughly in half across a broad, mostly B2B-software query mix. In this hiring/discovery niche, several roundup domains still clear 25% to 35%, closer to the hotel-search pattern than the broad-average one.

We tested the mechanism directly rather than assuming it. Conversations where ChatGPT added a site: filter cited noticeably fewer listicle domains than conversations where it did not, in the same dataset.

With a site: filter
Without a site: filter

Conversations
36
125

At least 1 listicle domain cited
77.8%
84.8%

Average listicle domains cited per answer
2.08
2.56

Source: ChatGPT Search Tracker, 161 conversations, Sep 16–17 2026.

The gap is real but modest, seven points on the headline citation rate. site: filtering crowds out some listicle citations, it does not erase them. Something else drives most of the variation, and it turned out to be the exact wording of the question.

## Which Query Shape Actually Predicts Listicle Citations

Breaking listicle citation rate down by the 12 tracked prompt phrasings shows a sharper pattern than a generic “discovery vs comparison” split. It comes down to whether the question itself matches the shape of a roundup article.

Prompt phrasing
Listicle citation rate

Who are the leading GEO experts in Vietnam?
100% (16/16)

Best AI SEO / AI visibility consultants in Vietnam
100% (11/11)

Who helps tour agencies reduce OTA dependency through GEO?
100% (11/11)

Who’s a top GEO expert based in Ho Chi Minh City?
96% (23/24)

Solid GEO branding consultant in Vietnam for my business
94% (17/18)

Expert who helps hotels and resorts grow bookings
38% (6/16)

Freelance GEO specialist in Ho Chi Minh City for a small business
15% (2/13)

Source: ChatGPT Search Tracker, 161 conversations, Sep 16–17 2026.

“Who is the leading/top expert” is the exact question a roundup article is written to answer, so ChatGPT reaches for one almost every time. A question tied to a named niche, such as [tour agencies](https://justinha.info.vn/geo-ai-branding/tour-agency/) reducing OTA dependency, can still hit 100% when it is phrased as a ranking question. Once the same niche is phrased as an outcome instead, such as [hotels and resorts](https://justinha.info.vn/geo-ai-branding/hotel-resort/) growing bookings, the rate drops to 38%. The hotel-search study’s discovery-vs-comparison framing points in the right direction. Our own data draws the line at ranking-shaped versus outcome-shaped, which is the more testable version of the same idea.

## Where Listicles Still Work, and Where They Don’t

Listicles still get cited
Listicles are losing ground

“Who is the best/leading/top X” ranking questions
“Who helps me achieve Y” outcome questions

Category-wide comparisons with no brand named
Queries already naming a brand ChatGPT recognizes

Broad hiring questions with no niche attached
Niche-qualified questions (small business, specific outcome)

Questions with no site: filter triggered
Questions where ChatGPT scopes a site: filter

## What To Do About It

1. **Identify your query shape.** A “who is the best X” ranking question still favors listicles post GPT-5.6. A “who helps me get outcome Y” question mostly does not.

2. **Check your own site: visibility.** Ask ChatGPT your core buyer question and note whether it scopes a search to your domain, your LinkedIn, or a competitor’s.

3. **Audit the top roundups in your niche.** Search “best [your service] in [your city]” and record which third-party roundup pages ChatGPT cites.

4. **Recheck monthly.** Both the site: rate and the listicle reliance shift again with each model update, as this article shows.

## Audit Checklist

Everything below can be done by hand in ChatGPT, or run in a few clicks with our [free GEO Audit Tool](https://justinha.info.vn/geo-audit-tool/), which checks your citation rate, site: exposure, and listicle presence in one pass.

- Run your core hiring or discovery query in ChatGPT and record every citation.

- Flag whether ChatGPT added a site: filter to that query.

- Test both a ranking-shaped and an outcome-shaped version of your core query, and compare listicle citation rates.

- Search for “Top 10 [your service] in [your city]” and check if you appear.

- Contact the roundup authors you are missing from, if your niche still favors listicles.

- Repeat this audit after any major ChatGPT model update.

> **Run this audit without doing it by hand.** The [GEO Audit Tool](https://justinha.info.vn/geo-audit-tool/) checks your domain’s citation rate, site: exposure, and listicle presence against the exact patterns in this article, free.

## How Was This Data Collected?

The 161-conversation dataset comes from ChatGPT Search Tracker, a Chrome extension built by Justin Hà. It reads live ChatGPT sessions through UI scraping, not API calls, capturing fan-out queries, site: filters, and full citation lists broken down by domain, page, and prompt. The same extension also captures a separate local-business data layer ChatGPT pulls into hiring and discovery answers, the subject of a companion analysis on [how ChatGPT pulls in Google Maps-style data](https://justinha.info.vn/geo/chatgpt-pulls-in-google-maps-data-of-answers/), and a model-by-model breakdown in [gpt-5-6 vs gpt-5-6-mini citation behavior](https://justinha.info.vn/geo/gpt-5-6-vs-gpt-5-6-mini/).

## Want This Kind of Audit Run on Your Own Brand?

Every number in this article, the site: filter rate, the listicle citation shares, the ranking-vs-outcome breakdown, came from ChatGPT Search Tracker, an internal tracking tool built to run exactly this kind of audit. It is not public yet, but the same checks are available now through the [GEO Audit Tool](https://justinha.info.vn/geo-audit-tool/).

If your business depends on being cited when someone asks ChatGPT “who is the best X in my city” or “who helps me get Y done,” the split in this article is the first thing worth checking for your own brand: which query shape you currently win, and which one a competitor’s listicle mention still owns. Our [GEO and AI visibility service](https://justinha.info.vn/geo-ai-branding/) runs this audit and builds the entity and citation strategy around what it finds, with dedicated tracks for [hotels and resorts](https://justinha.info.vn/geo-ai-branding/hotel-resort/) and [tour agencies](https://justinha.info.vn/geo-ai-branding/tour-agency/).

        

        
        

---

        
        

            
            
                ![Justin Hà](https://justinha.info.vn/wp-content/uploads/2025/11/justin-ha-seo-specialist-hcm.jpg)
                
                    About the Author
                    **Justin Hà**
                    

Senior Global SEO & GEO Specialist · Founder of Luminal

                    
                        
                            
                            
                        
                        Ho Chi Minh City, Vietnam
                    
                
            

            
            
                

                    Justin Hà is a Senior Global SEO & GEO Specialist with 5+ years of experience driving organic growth across 9 international markets. He is among Vietnam's first practitioners of Generative Engine Optimization (GEO) - optimizing brand visibility inside AI-generated answers from ChatGPT, Gemini, Perplexity, and other platforms. In 2026, he founded [Luminal](https://www.linkedin.com/company/luminal-geo/), a GEO agency helping brands get discovered, cited, and trusted inside AI-driven search. With 2+ years in GEO and 100+ projects led or consulted, Justin helps brands adapt their content strategies to the rapidly evolving AI search landscape.
                

            

            
            
                
                    
                        
                            
                        
                    
                    
                        [Vietnam's First GEO Practitioner](https://justinha.info.vn/about/)
                    
                
            

            
            
                
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