Top Websites AI Models Trust for Shopping Inquiries

```json
{
  "alt": "Marketing funnel showing Awareness, Evaluation, Purchase stages with associated actions.",
  "caption": "Explore the marketing funnel: from sparking Awareness with 'what is,' to Evaluation through 'compare,' and sealing the deal at Purchase with 'buy now.'",
  "description": "This image illustrates a marketing funnel chart, displaying three stages: Awareness, Evaluation, and Purchase. Each stage is paired with actions: 'what is' for Awareness, 'compare' for Evaluation, and 'buy now' for Purchase. The funnel spectrum is marked from 0.00 to 3.00, representing the progression of consumer engagement and decision-making. Keywords: marketing funnel, consumer journey, purchase decision."
}
```

Last Updated: December 22, 2025

Back in June 2025, I noticed an interesting infographic circulating widely. It highlighted the most-cited websites by AI models, according to a comprehensive SEMrush study of over 150,000 citations. Naturally, seeing Reddit at the top sparked a buzz among marketers, who began to believe that featuring on Reddit was key to their GEO strategy.

But, here’s the catch: most of these citations were research-oriented, not necessarily geared towards buying intents. For instance, Reddit was frequently mentioned in queries like “Where in Europe should I take a family vacation?” but not so much in “What are the best web design firms?”

This led to some misguided assumptions. Although Reddit does play a role in AI models like ChatGPT, Perplexity, and Gemini, it represents only about 11% of their commercial recommendation algorithms. So, placing too much emphasis on Reddit won’t really boost your product or service visibility in these AI models.

The Most Cited Websites by AI Models for Buying-Intent Queries

Our research team dug deeper into this in October 2025 and later updated it in December 2025. We conducted 36,127 buying-intent queries on ChatGPT and tallied the top-cited websites. Our “buying-intent query” was defined on a scale measuring how close a query was to a purchase decision. A simplified version of this scale is captured in the infographic below:

Detailed Query Intent Scale

A query scoring higher than 1.35 was marked as “buying-intent.”

Simplified Query Intent Scale

Top Website Types Cited by AI Models for Buying-Intent Queries

We meticulously categorized the types of websites AI models prefer for such queries. Understanding the types helped us unravel which channels are more effective at GEO—essential in influencing AI chatbots to nominate certain companies.

```json
{
  "alt": "Graph depicting buying intent scale for AI chatbot e-bike queries.",
  "caption": "Exploring the buying intent behind various e-bike related queries processed by AI chatbots, from awareness to purchase stages.",
  "description": "The image features a graph titled 'Scale of Buying Intent for AI Chatbot Queries.' It illustrates the progression of buying intent from awareness to purchase for e-bike queries. The x-axis represents buying intent, ranging from 0.07 to 3.00, with labels like 'what is an e-bike' and 'buy e-bike near me.' The spectrum is divided into awareness, evaluation, and purchase stages, providing insights into consumer decision-making processes. Source: Bailyn et al., 2025."
}
```

Top Website Types Cited by AI Models for Buying-Intent Queries

#Website TypeDescription# of Citations
1Product Recommendation
Media
“Best of” and “Top 10” review sites largely monetized via affiliate links (e.g., Wirecutter, Tom’s Guide, TechRadar).7,642
2Consumer Review PlatformsUser-generated review aggregators like Trustpilot, BBB, and Google Reviews.5,983
3Traditional MediaEstablished publishers including product roundups or consumer coverage (Forbes, NYT, Wired).4,581
4New MediaDigital-native outlets that frequently review or endorse products (TechCrunch, The Verge).3,826
5YouTube / Video Review ChannelsVideo-based reviews and product comparisons often transcribed or summarized by AI models.3,211
6Directory SitesStructured provider listings (Yelp, TripAdvisor, Angi).2,639
7Commercial / Brand SitesOfficial manufacturer or retailer sites promoting their products.2,208
8Marketplace Directories (B2B)Listings and SaaS marketplaces such as G2, Clutch, UpCity.1,762
9eCommerce MarketplacesDirect retail and product pages from major sellers like Amazon, Walmart, and Best Buy.1,413
10Corporate Blogs / Thought LeadershipBrand-run content hubs (HubSpot Blog, Salesforce Newsroom, Adobe Blog).1,109
11Influencer / Creator SitesIndependent blogs or Substacks with personal authority and genuine reviews.928
12Forum CommunitiesPublic discussion boards like Reddit, Quora, and StackExchange.674
13Deal & Coupon SitesDiscount and promotion aggregators (Honey, RetailMeNot, Slickdeals).505
14Niche Publications / Enthusiast MediaSpecialized media focused on one domain (Outdoor Gear Lab, PC Gamer).393
15Local Listings / Maps DataGoogle Maps, Apple Maps, and other local data sources.318
16Reference SitesGeneral-purpose informational references (Wikipedia, Investopedia).265
17Social PlatformsCitations to public posts from LinkedIn, X (Twitter), or Facebook Groups.224
18Academic / Research SourcesScholarly content (Google Scholar, PubMed, arXiv).193
19Government / Institutional SitesRegulatory or authoritative institutional content (FDA.gov, FTC.gov).159
20Standards & Certification BodiesOfficial verification or compliance organizations (UL, ISO, Energy Star).119

The major takeaway from parsing this data? Websites offering list-based product recommendations feature heavily in AI rankings. Being listed on these commercial publications can greatly enhance a product’s visibility in AI recommendations like ChatGPT, Perplexity, and others.

Industry Breakdown: Websites Most Cited by AI Models for Buying-Intent Queries

Next, our analysis focused on the top three websites each industry traditionally relies on. This provided a glimpse into which platforms AI models commonly heed within specific verticals, giving GEO marketers a decisive edge in targeting their media placement efforts.

Top Websites Cited by AI Models in Buying-Intent Queries, by Industry

IndustryTop-Cited Websites by AI for Buying-Intent Queries
eCommerceWirecutter, Forbes, Tom’s Guide
Managed ServicesClutch, G2, UpCity
HealthcareForbes Health, Verywell Health, Medical News Today
ManufacturingThomasnet, IndustryWeek, Engineering360 (GlobalSpec)
Financial ServicesNerdWallet, Investopedia, Forbes Advisor
CybersecurityCybersecurity Insiders, Gartner Peer Insights, TechRadar
Real EstateZillow, Realtor.com, Redfin
PharmaceuticalDrugs.com, FDA.gov, PubMed
SaaSG2, DesignRush, Clutch
ConstructionEngineering News-Record, Construction Dive, HomeAdvisor
Home ServicesAngi (Angie’s List), Thumbtack, HomeAdvisor
AutomotiveCar and Driver, Kelley Blue Book, Edmunds
Marketing ServicesClutch, HubSpot Blog, First Page Sage
Higher EducationUS News Education, Higher Education Marketing Institute, Niche.com
IndustrialThomasnet, Engineering360 (GlobalSpec), IndustryWeek
HospitalityTripAdvisor, Booking.com, Yelp
Software DevelopmentClutch, G2, First Page Sage

A key insight here is the fragmented nature of website citations. Trade journals contributed more than the top three sites in any category. As with website types, the predominance of review sites and product recommendation platforms was notable.

Questions, Media Inquiries, or Other Requests

Curious about our study? Have a media request, or want a PDF copy? Reach out to us here.


Inspired by this post on First Page Sage Blog.


crushpress.ai community screenshot

FAQs

What is the main focus of the article?

The article analyzes which websites AI models rely on for buying-intent queries and its impact on marketing strategies.

Which website types are most cited by AI models for buying-intent queries?

Product Recommendation Media, Consumer Review Platforms, Traditional Media, and New Media are among the top cited types. The article lists 20 website types in total.

Can you name examples of top-cited websites by industry?

Examples include Wirecutter, Forbes, and Tom’s Guide for eCommerce; Clutch, G2, and UpCity for Managed Services.

When was the study conducted and how large was the data sample?

The analysis was conducted in October 2025 and updated in December 2025, based on 36,127 buying-intent queries on ChatGPT.

Where can I contact for media inquiries or a PDF copy?

Readers can reach the article’s contact page via the ‘here’ link in the post.

Comments

Leave a Reply

Your email address will not be published. Required fields are marked *