How do I see which review sites AI chatbots rely on in my industry?

The most reliable way is to run a small citation audit for the questions people in your industry actually ask—not rely on a generic list of “AI-trusted” review sites. The sources vary by chatbot, question wording, and run, and ChatGPT shows clickable citations when it uses web search. (help.openai.com)

Try this audit

1. Write 15–30 realistic prompts a customer might ask, such as:
   • “What are the best [product/service] companies for [need]?”
   • “Compare [your company] with [competitor].”
   • “Which [industry] providers have the best reviews for [specific use case]?”
   • “Is [company] worth it? What are the pros and cons?”

1. Test them in the chatbots your customers use. Turn on web search where available, and record the date, prompt, chatbot, answer, and every cited URL. Don’t count uncited claims as a cited source.

1. Make a simple spreadsheet with columns for:

   Prompt | Chatbot | Cited page | Domain | Source type | Your brand mentioned?

Label source types such as review site, directory, forum, news/article, analyst, or company website. For review sites, capture the specific page too—an industry comparison article can be more relevant than a platform’s general homepage.

1. Repeat the same prompts on another day or two. Treat your results as a sample, not a definitive ranking: answers and citations can change between runs. (searchengineland.com)

1. Rank the domains by how often they appear, and note which questions they show up for. Prioritize sites that recur across multiple prompts and chatbots, especially in “best,” “compare,” and “reviews” queries.

You can do this manually for a first pass. AI-visibility tools can automate repeated prompts and citation collection, but compare their platform coverage and methodology before paying; their results depend on the prompts they track. For Google, Search Console now has a generative-AI performance report, but that’s about links to your own site in Google AI features—not a complete audit of every review site chatbots cite. (searchintel.tech)

If you tell me your industry and a few competitors, I can draft a starter set of audit prompts.

The most direct way is to run the questions your buyers ask through the AI tools and record which domains they cite. Tracking tools can automate this, and published studies give you industry benchmarks to compare against.

1. Check industry benchmarks first
Several 2026 studies list the review sites AI engines cite most. Seer Interactive's study of more than 800,000 AI responses found that Trustpilot was cited most often across ChatGPT, Google AI Mode, Gemini, and Perplexity (For this study, we analyzed ChatGPT, Google AI Mode, Gemini, and Perplexity. We found Trustpilot is the most frequently cited review website, and by sizable margins.). For software, an analysis of AI Overviews put Gartner Peer Insights, G2, Capterra, Software Advice, and TrustRadius at the top, with Gartner first at 26.0% of review-platform links (Gartner Peer Insights, G2, Capterra, Software Advice, and TrustRadius account for 88% of all review platform links.). Each industry tends to have its own sites: Yelp and Tripadvisor for local businesses and hospitality, Trustpilot for consumer services, G2 and Clutch for software and B2B services. Healthcare, legal, and home services have their own lists too, such as Healthgrades and Zocdoc, Avvo, Justia and FindLaw, and Houzz, Angi and HomeAdvisor (per the table in source 1).

2. Check your own category by hand (free)

• Write 20–50 questions a buyer would type, such as "best [your category] for small teams" or "is [your brand] legit."
• Run them in ChatGPT, Perplexity, Gemini, and Google (AI Overviews appear in search results).
• Note every source cited and tally the review domains. Repeat monthly, since results change.

3. Use a tool that logs cited domains
Several tools automate this and show which domains and URLs get cited:

• Otterly.ai tracks all cited URLs and source domains in AI responses for the prompts you set, and it can show trends against competitors.
• Surfer's AI Tracker evaluates a set of prompts and identifies which domains are being cited or referenced when those prompts are answered.
• Peec AI, Profound, Scrunch, and SE Visible also track citations across major engines, with varying price points and coverage. Profound is often described as the enterprise option.
• Semrush's AI Visibility Toolkit is an option if you already use Semrush for SEO.

Start with a free trial or a small prompt set, since the tools differ in which engines they cover by default.

Caveats

• The published studies use different methods, sample sizes, and time windows, so their rankings don't fully agree. Treat them as directional.
• Citation patterns differ by platform. One analysis found that Perplexity 31%, Google AI Overviews 13%, ChatGPT about 7% for citations from social and community sites, so check each engine separately.
• Your own prompt list matters most. Industry-wide data helps less than seeing which sites appear for the questions your customers actually ask.

To determine which review sites and sources AI chatbots rely on in your industry, you must move beyond traditional SEO tools and focus on Generative Engine Optimization (GEO)—the practice of analyzing and influencing how AI models retrieve, synthesize, and cite information.

Because there is no single "AI dashboard" that lists its sources, you can uncover this information through the following steps:

1. Perform "Retrieval Audits" (The Manual Method)

The most direct way to see what an AI "trusts" is to simulate the customer journey by asking the same questions your potential customers are asking.

• Use Industry-Specific Prompts: Ask chatbots (ChatGPT, Gemini, Perplexity, etc.) questions like: "What are the best [your industry] companies in [your city/region]?" or "Compare top [your industry] providers."
• Analyze the Citations: Look at the footer or the specific links provided in the AI’s response. These are the "grounding" sources. Record the domains (e.g., Trustpilot, Reddit, specific industry trade publications, or local directories) that appear consistently across multiple attempts.
• Track Patterns: You will likely notice that the AI favors certain high-authority domains. These are the platforms that currently hold the most "influence" in your specific industry’s AI search results.

2. Use AI Visibility & Citation Tools

For a more scalable approach, several dedicated tools have emerged to track which sources AI engines cite for specific keywords and categories.

• How they work: These tools (e.g., DeepSmith, Profound, Ahrefs Brand Radar) automate the process of querying AI models and logging the domains cited in their answers.
• What they provide: They can show you a list of publishers, review sites, and expert roundups that AI models in your industry lean on. This allows you to pivot your PR and outreach efforts toward those specific platforms rather than "spraying and praying" your content.

3. Understand the "Review Source" Hierarchy

AI models typically pull from a few specific buckets of information. Knowing these can help you identify which sites to prioritize:

• High-Confidence Directories: Platforms like Google Business Profile, Apple Maps, and well-known industry directories are often prioritized because they provide structured data (Name, Address, Phone) that AI can easily verify.
• Community & Discussion Forums: Platforms like Reddit and YouTube are frequently cited across almost all industries because they are viewed as "unbiased" or "real-world" proof.
• Editorial & Expert Content: For many professional industries, AI leans on independent media, trade publications, and expert blogs. If a site consistently appears in your audits, it is a high-value target for your content or PR efforts.

4. What to Look For (The "Confidence" Signals)

AI does not just look for "reviews"; it looks for evidence to increase its "confidence" in a recommendation. When analyzing which sites are cited, look for:

• Recency: Is the AI citing reviews from three years ago, or does it prefer recent activity? (Current, active reviews are usually favored).
• Specificity: AI models often prefer reviews that mention specific use cases or details (e.g., "fixed my HVAC in under an hour" vs. "great service").
• Consistency: The AI is looking for consensus. If a business has 5-star reviews on one platform but no presence elsewhere, the AI may be less likely to recommend it than a company with a consistent footprint across three or four trusted sources.

Summary Checklist for Your Industry

1. Define your priority prompts: Create a list of the top 5–10 questions customers ask about your industry.
2. Audit the responses: Run these prompts through major AI platforms and log the cited domains.
3. Identify the "Power Sources": Find the 3–5 domains that show up most frequently.
4. Optimize your presence: Ensure your business info is consistent, accurate, and active on those specific domains.

Pro Tip: If you see that your competitors are being cited from a particular forum or directory that you aren't on, that is your primary action item. Building a presence there is often more effective than trying to optimize your own website's keywords.

The most reliable approach is to test the buyer questions people actually ask, then log the sources the AI names or links to. AI answers can vary by prompt, platform, location, and date, so treat the results as a pattern—not a definitive list of sites an AI always “relies on.”

A practical workflow

1. Build a prompt list. Include questions such as:
   • “What are the best [product/service] options for [use case]?”
   • “Compare [your company] with [competitor].”
   • “Which [industry] providers are best for [customer type]?”
   • “What should I look for when choosing a [category]?”

Use the wording your customers use, and include relevant locations or specialties.

1. Run the same prompts on several AI platforms. Try the chatbots your customers are likely to use. For answers with web search or citations, record every linked source. For answers without visible citations, note that the source is unclear rather than guessing.

1. Keep a simple log. Track the date, platform, prompt, cited URL, domain, and source type—for example, review site, industry publication, forum, comparison article, or company website. Repeat the tests periodically, since answers can change.

1. Look for recurring domains. Count which review sites appear most often overall and for specific query types. Also note whether they appear in answers about your competitors, even when your company is absent.

1. Scale up with citation-monitoring software if needed. AI visibility tools can run a prompt set repeatedly and report cited URLs, domains, and competitor mentions. Compare tools on which AI platforms they cover, how often they refresh results, and whether they show the actual source URLs—not just a visibility score. Citation-analysis products can also group sources into categories such as review sites, forums, and earned media.³⁴

A spreadsheet is enough to start. For a more automated view, tools such as Semrush, Otterly, Profound, Peec AI, or HubSpot AEO are among the products described in current AI-visibility coverage; verify platform coverage and features directly before choosing one, as they differ.¹²⁴

Tip: Don’t focus only on sites that cite your own brand. The review and comparison sources repeatedly cited when buyers ask about your category can reveal where competitors are being discovered—and which sources may be worth evaluating for your own presence.