Original Research • June 2026

Are listicles the AI-search silver bullet? Not quite.

When a real person asks ChatGPT for the "best X" in their own words — lowercase, casual, "ok i need a good crm for my small business, what do you actually recommend?" — it cites a listicle 100% of the time. But the listicle is not a universal silver bullet. Across 138 ChatGPT queries built from real conversational prompts spanning five search intents, listicle citations fell from 100% for people comparing options to choose, to 71% for local, 50% for transactional, 13% for informational, and 0% for navigational. The listicle is an intent-specific play: it wins when a buyer is weighing options, and all but vanishes when they want a fact or a specific website.

By Sebastian Pinzon Duran, Head of Discovery, AIVO · Independent research, no brand paid for inclusion

Companion study: Do you have to talk to ChatGPT like a search engine?

Research scope

138
ChatGPT queries
46
Real-user prompts
5
Search intents
5
Category types
n=3
Runs per prompt
100%

of commercial-investigation answers cite a listicle

0%

of navigational answers cite a listicle

138

ChatGPT queries (46 real-user prompts × n=3)

92%

of cited listicles carry the current year

10

median items in a cited listicle

Executive Summary

When does a listicle actually win in ChatGPT?

Listicles have become the reflexive answer to "how do I show up in ChatGPT?" — but the data shows they are an intent-specific play, not a universal silver bullet. We ran 138 ChatGPT queries built from 46 real, messy, conversational prompts across five search intents and five category types to find exactly when a ranked roundup wins, when it disappears, and what a cited listicle actually looks like.

The Bottom Line

When a real person asks ChatGPT for the "best X" in their own words, a listicle is in the answer 100% of the time — but that dominance is specific to buyers comparing options. Listicle citations fall to 71% for local, 50% for transactional, 13% for informational, and 0% for navigational. The winning roundups are current (92% carry the year), about ten items long, and comparison-framed — and they come from a long tail of 300+ domains, not just big publishers. Treat listicles as a precision tool for commercial-investigation intent, and focus on earning your brand into the current roundups AI already trusts.

Q1

Does ChatGPT cite listicles for every kind of question?

Finding: No. Across 46 real conversational prompts (n=3), listicle citations tracked search intent closely: 100% for commercial-investigation ("best X", "X vs Y"), 71% local, 50% transactional, 13% informational, and 0% navigational.

Insight: The drop-off is steep and orderly — the listicle is near-universal for buyers comparing options and collapses for people who want a fact or a specific site.

Implication: Spend listicle effort where the buyer is comparing options to choose; don't expect roundups to carry informational or navigational queries.

Confidence: high
Q2

Within "best X", does the listicle win for every category?

Finding: Yes for presence: software, professional services, events, and physical products all cite listicles 100% of the time. Category changes the answer shape, not whether listicles appear — 50% of physical-product answers also rendered a shopping/product carousel.

Insight: For physical products a listicle is necessary but not sufficient; ChatGPT pairs editorial roundups with a structured product carousel.

Implication: Software, service, and event brands win on roundup presence alone; consumer-goods brands also need clean product-feed data (price, rating, merchant).

Confidence: high
Q3

What does a listicle ChatGPT actually cites look like?

Finding: Current, around ten items, comparison-framed. 92% of cited listicles carry the current year in the title, the median list length is 10, and 80% of commercial-investigation citations were listicle-type sources.

Insight: Recency is the single biggest lever — a stale, undated roundup is effectively invisible.

Implication: Target current-year, ~10-item ranked roundups with comparison framing, and re-date and refresh them every year.

Confidence: high
Q4

Do you have to be Forbes to get cited?

Finding: No. ChatGPT spread its best-X citations across 300+ distinct domains, with the single most-cited domain at only ~3% of citations. Niche specialists (Searchbloom, ProPicked, MeetScouty) rank alongside authority media (Tom's Guide, TechRadar, Runner's World).

Insight: The bar isn't being a major publisher — it's being present and recommended in the current third-party roundups across your category.

Implication: Earn your brand into the listicles AI already trusts; that earned placement is the currency ChatGPT pays out.

Confidence: high
Start here

The five searches, in plain English

"Search intent" just means what a person is actually trying to do when they ask. We sorted every prompt into one of five intents — and wrote each one the messy way people really talk to ChatGPT, not as a clean keyword. Here is each intent, with real examples from the study.

Commercial-investigation

Comparing options to pick the best one.

ok i need a good crm for my small business, what do you actually recommend?getting back into running, what are the best shoes right now?

Local

Finding the best option in a specific place.

whos a good dentist in miami?wheres the best brunch in san francisco?

Transactional

Ready to buy, or checking the price.

how much is hubspot crm gonna run me?where can i actually buy the hoka clifton 10?

Informational

Learning how something works — no purchase in mind yet.

how does noise cancelling actually work?what does a creative agency actually do?

Navigational

Heading to one specific brand or site — they already know where they want to go.

whats nike's official websitei can't remember how to log into salesforce, where do i go?
Finding #1

Listicle citations by search intent

We grouped 46 real conversational prompts into five intents and measured how often ChatGPT's answer cited at least one listicle, best-of, comparison, or directory source (n=3 runs each). The drop-off is steep and orderly.

Commercial-investigation
"whats the best X right now?"
100%
Local
"whos a good X near me?"
71%
Transactional
"how much is X?", "where can i buy X?"
50%
Informational
"how does X work?"
13%
Navigational
"whats X's official site?"
0%

The verdict

We pre-registered a 10-point falsification rule: if non-commercial intents landed within 10 points of commercial-investigation, the listicle would be a general silver bullet. They didn't — the nearest, local, is 29 points below, and informational and navigational are near zero. The listicle is intent-specific, not a universal play. Spend listicle effort where the buyer is comparing options.
Finding #2

Category type and answer shape

"Category type" just means the kind of thing being searched for. We tested five, each with real "best X" prompts — for example:

Software

whats the best project management tool for a small team?

Service

looking to hire an seo agency, which ones are actually any good?

Event

what marketing conferences are actually worth going to this year?

Physical product

looking for a good espresso machine under 500 bucks, any recs?

Local service

whos a good dentist in miami?

Listicle presence (commercial-investigation)

100%

Identical across software, professional services, events, and physical products. If someone asks ChatGPT for the "best" of your category — however casually — a roundup is in the answer, whatever you sell.

The differentiator: answer shape

50%

Half of physical-product "best X" answers also rendered a shopping/product carousel (price, rating, merchant) alongside the roundups. Software, service, and event answers did not.

Why it matters

For physical products a listicle is necessary but not sufficient. ChatGPT pairs editorial roundups with a structured product carousel, so consumer-goods brands need two things: presence in the "best X" roundups and clean product-feed data (price, rating, merchant) to appear in the carousel. For software, services, and events, the roundup is the whole game.
Finding #3

What a cited listicle looks like

Current, about ten items, and framed as a comparison. The cited roundups share a clear and reproducible shape.

92%

of cited listicles carry the current year (2026 / 2025) in the title. Recency is the single biggest lever — re-date and refresh annually.

10

median items in a cited listicle (average ~11, range 3–50). "Top 10" remains the format ChatGPT reaches for.

80%

of all commercial-investigation citations were listicle-type sources — ranked roundups, comparisons, and directories.

What gets cited

The roundups ChatGPT cites are current, ranked, around ten items, and comparison-framed — titles like "Best CRM for Small Business 2026: 9 Platforms Ranked" and "Asana vs ClickUp vs Monday" recur. Recency is the hard filter: a stale, undated roundup is invisible. Treat this as the bar for the lists you want your brand featured in.
Finding #4

Who publishes the roundups

Most-cited listicle domains across commercial-investigation answers (citation count). ChatGPT pulls its best-X citations from a long tail of more than 300 distinct domains, authority media and niche specialists alike.

  • 1
    Tom's Guideauthority media
    18
  • 2
    Runner's Worldauthority media (sport)
    10
  • 3
    TechRadarauthority media
    8
  • 4
    MeetScoutyniche specialist (conferences)
    6
  • 5
    TechRepublicauthority media (tech)
    6
  • 6
    ProPickedniche specialist
    5
  • 7
    Searchbloomniche specialist (SEO)
    5

The takeaway

Listicles matter — and the real lever is getting your brand named inside the listicles AI already trusts, not just publishing your own. Best-X citations are spread across more than 300 domains where niche specialists rank right alongside Tom's Guide and TechRadar, and the single most-cited domain is only about 3% of citations. The bar isn't being a major publisher — it's being present and recommended in the current third-party roundups across your category. That earned placement is the currency ChatGPT pays out.
Hypothesis Scorecard

Pre-registered hypotheses

Hypotheses and the falsification threshold were fixed before any data was collected.

Listicles dominate commercial-investigation queries

"best X" answers lean on ranked roundups

Confirmed

Listicle presence drops sharply for non-commercial intents

informational, transactional, navigational, local lean elsewhere

Confirmed

Falsification: non-commercial intents within 10 points of commercial = general silver bullet

pre-registered kill condition for the intent-specific thesis

Rejected

For "best X", listicles win regardless of category — software, services, events, and products alike

category changes the answer shape, not whether listicles appear

Confirmed

The pattern holds even when people ask casually, not in keywords

study used real conversational prompts, not clean search terms

Confirmed
FAQ

Listicles & ChatGPT: Common Questions

Methodology

How We Built This Study

Single engine, one market, real conversational prompts, pre-registered design — built to isolate the effect of intent on listicle citation.

Research design

  • •46 real-user conversational prompts across 5 search intents × 5 category types
  • •Messy, casual phrasing — how people actually type, not keywords
  • •n=3 runs per prompt = 138 ChatGPT queries
  • •US market, English; pre-registered hypotheses + 10-point falsification threshold

What we measured

  • •ChatGPT only — one engine, fewer variables
  • •The actual answers and the sources they cite
  • •Multiple runs per prompt for stable, repeatable results
  • •Citation patterns, not model opinions

Classification

  • •A listicle definition fixed before the data (best-of, comparison, directory)
  • •Every cited source classified against it
  • •Hand-checked for accuracy; conservative throughout — reported rates are floor estimates
  • •A companion study tested keyword vs conversational phrasing: results match, except local

Independence

  • •Independent AIVO research
  • •No brand paid for inclusion or was notified before publication
  • •Reflects ChatGPT behavior at the time of collection
  • •Results are subject to change as models update

Ready to benchmark your brand's AI visibility?

Get a personalized analysis of how your brand performs across ChatGPT, Google AI, and Perplexity— plus actionable recommendations to improve your visibility.

View More Research
Free 30-minute consultation
Custom benchmark report
No commitment required

More AIVO Research

View all industry research →