Most businesses treat "AI search" as one channel. ChatGPT, Gemini, and Perplexity actually pull data from different sources, weight different signals, and cite different types of content.
Your visibility strategy for ChatGPT might do nothing for Gemini. The directory that gets you recommended on Perplexity might not matter for ChatGPT at all.
Yext published the largest AI citation study to date in October 2025: 6.8 million citations across 1.6 million AI-generated responses. The data breaks down exactly where each engine gets its information, and the differences are bigger than most people expect.
86% of AI citations come from sources you control
The Yext study found that 86% of AI citations come from brand-managed sources. Not news articles or Wikipedia. The overwhelming majority of what AI engines cite when recommending businesses is content that brands directly control: websites, directory listings, and review profiles.
Most people assume AI pulls from some mysterious black box of internet data they can't influence. The 86% number says otherwise. You already control most of what these models read about your business.
But which sources matter depends entirely on which AI engine your customer is using.
Where ChatGPT gets its data
ChatGPT is the largest standalone AI search engine, holding 60.6% market share in First Page Sage's May 2026 tracker. Where it pulls business data matters more than any other single thing you can learn about AI visibility right now.
48.73% of ChatGPT's citations come from third-party sites. That's the Yext finding. When ChatGPT recommends a business, nearly half the time it's citing Yelp, TripAdvisor, MapQuest, or a similar directory. Google properties alone accounted for 465,000 citations in the study, but those are Google-indexed pages, not Google reviews.
The part that surprises most business owners: ChatGPT does not appear to have direct access to your Google reviews.
Google's review ecosystem is a controlled data layer. Search Engine Land's 2025 local search testing found that ChatGPT uses Bing-indexed web results and applies its own selection logic, but it does not directly reference Google as a live local data source. It may still pick up Google ratings when your website or another indexed page republishes them. In practice, ChatGPT evaluates your business through sources it can crawl and cite: Bing results, Foursquare, Yelp, the BBB, industry directories, local guides, and your website.
For subjective queries like "best Italian restaurant near me" or "top-rated plumber in Austin," the pattern shifts even more. Directory sources spike to 46.3% of all ChatGPT citations on subjective queries, per the Yext data. These are exactly the queries where a potential customer is making a buying decision.
What ChatGPT trusts most:
- Yelp reviews and business pages
- TripAdvisor (for hospitality and food)
- MapQuest and Foursquare (for location data)
- BBB profiles
- Your website (especially pages with structured data)
- Bing search index (your primary search pipeline into ChatGPT)
If your entire reputation strategy is built around Google reviews, you have a strong signal for Google and a weak signal set for AI engines that depend on third-party and Bing-indexed sources.
Where Gemini gets its data
Gemini is Google's AI engine. It remains the second-largest standalone AI search tool in First Page Sage's May 2026 tracker, and Google is pushing it deeper into Search. At I/O 2026, Google said AI Mode had passed 1 billion monthly users and that AI Overviews can now flow into AI Mode conversations across desktop and mobile.
52.15% of Gemini's citations come from brand-owned websites. That's the highest website-citation rate of any major AI engine. Gemini leans heavily on your own web properties.
This makes sense. Gemini has direct access to Google's infrastructure: Google Business Profiles, Google Maps, the full search index. It doesn't need third-party directories the way ChatGPT does because it already has Google's proprietary data layer.
In practice, Gemini rewards businesses that invest in their own websites. Detailed service pages, location-specific landing pages, proper JSON-LD schema markup, FAQ sections. Gemini reads all of it and uses it as primary citation material.
The Princeton GEO research (Aggarwal et al., KDD 2024) supports this pattern. Their study found that adding citations, statistics, and authoritative language to web content improved visibility in AI-generated responses by up to 40%. Content that reads like a primary source gets treated like one.
What Gemini trusts most:
- Your website (service pages, location pages, about pages)
- JSON-LD schema markup (LocalBusiness, Service, FAQPage)
- Google Business Profile data (hours, categories, attributes)
- Google Maps data (location accuracy, service areas)
- Structured content with statistics and citations
If you do one thing for Gemini visibility, invest in your website content.
Where Perplexity gets its data
Perplexity takes a different approach than both ChatGPT and Gemini. It positions itself as an "answer engine" and cites sources inline, which means its citation patterns are more visible and more specific than the others.
The Yext study found that Perplexity favors niche and industry-specific directories more than any other AI engine. For healthcare queries, Zocdoc dominates Perplexity's citations. For hospitality, TripAdvisor leads. For home services, industry-specific review platforms and directories carry far more weight than general ones.
For subjective queries, 24% of Perplexity's citations come from niche industry sources. That's a higher concentration on vertical-specific content than either ChatGPT or Gemini.
Perplexity also pulls from academic papers, industry reports, and specialized publications. The E-GEO paper from 2025 looked at this in e-commerce contexts and found that citation-heavy AI interfaces (like Perplexity) heavily favor content that itself contains citations and data.
This creates a feedback loop: content with references gets cited by Perplexity, which drives more traffic to that content, which makes it more likely to be cited again.
What Perplexity trusts most:
- Industry-specific directories (Zocdoc, Angi, Houzz, Avvo, TripAdvisor)
- Specialized review platforms relevant to your vertical
- Content with inline citations and data points
- Academic and research sources
- Niche publications and industry blogs
If you're not on the directories that matter in your specific industry, Perplexity won't find you.
Why one strategy doesn't fit all three
Say you run a dental practice.
On ChatGPT, your Yelp profile, industry directory presence, business website, and Bing-indexed footprint can matter more than your Google reviews because those are easier for ChatGPT to retrieve and cite. You'd want review depth on Yelp, Healthgrades, and Foursquare, plus an accurate Bing-visible web footprint.
On Gemini, your website does the heavy lifting. Individual pages for each service (cleanings, implants, orthodontics), LocalBusiness schema with your NPI number, accepted insurance, and service area. Gemini reads this structured data directly.
On Perplexity, your Zocdoc profile matters most. Perplexity pulls from Zocdoc more than any other source for healthcare queries. Healthgrades, Vitals, and state dental association directories all contribute too.
Same business, completely different playbooks depending on which AI your patient is using.
This is why the research on LLM product visibility (Kumar et al., 2024) matters for local businesses too. Their study found that strategic text placement on product pages significantly increased the chances of being the top LLM recommendation. The same principle applies to service pages: the content you put on your own website directly shapes how AI engines present your business.
Google reviews alone won't save you
We built the Cheers AI Visibility Grader to test how businesses actually show up across AI engines. Some of the results caught us off guard.
Chick-fil-A, one of the most recognizable restaurant brands in America, scored just 65/100 with only 2 out of 12 AI mentions across ChatGPT, Gemini, and Perplexity.
Why? Because brand recognition on Google does not automatically transfer to AI engines that build answers from different source sets.
BrightLocal's 2025 consumer search behavior study found that 40% of consumers now use generative AI when searching. Only 3% consider an AI platform their default for local searches, but that number is going to grow fast. The businesses that figure out multi-engine visibility now will own the channel before their competitors even realize it exists.
BrightLocal's 2026 LCRS data also found that 88% of AI users fact-check the results by verifying sources and checking reviews. AI recommendations don't replace reviews. They create a funnel where AI gives the initial recommendation and reviews close the deal. You need to be strong on both.
How to build a multi-engine AI visibility strategy
Based on the Yext citation data, the Princeton GEO research, and what we see across our client base at Cheers, here's what we recommend:
Start by auditing your current state. Ask ChatGPT, Gemini, and Perplexity to recommend businesses in your category in your market. Screenshot every response. Note where you show up, where you don't, and what sources each engine cites. This takes 15 minutes and tells you more than any SEO audit.
Then fix your website for Gemini. Add LocalBusiness JSON-LD schema. Build dedicated service pages with specifics: pricing ranges, service descriptions, areas served, response times. Add an FAQ section with real questions your customers ask. Gemini consumes this content as primary source material. The Princeton GEO study showed that content with embedded statistics and citations gets up to 40% more visibility in AI responses.
Build review depth for ChatGPT. Yelp, Foursquare, BBB, and industry directories are how ChatGPT learns about your business. Volume alone is weak. The actual text of reviews matters because AI reads the content rather than the star rating alone. Encourage customers to mention specific services, experiences, and outcomes in their reviews.
Claim vertical directories for Perplexity. Identify the top 3-5 directories specific to your industry. Healthcare: Zocdoc, Healthgrades, Vitals. Home services: Angi, Houzz, Thumbtack. Legal: Avvo, Justia, FindLaw. Hospitality: TripAdvisor, OpenTable. Perplexity gives these niche sources outsized weight.
Keep your NAP (name, address, phone) consistent everywhere. Your business name, address, phone number, and website URL need to match exactly across every platform. AI engines cross-reference multiple sources. Inconsistencies erode confidence, and when the model isn't confident, it picks someone else.
Finally, monitor and revisit regularly. AI models update their training data and retrieval sources on their own schedule. What works today might shift in six months. Run your AI visibility audit monthly and track which sources each engine cites for your category.
This market is moving fast
AI search adoption went from 6% to 45% in twelve months. ChatGPT has 800 million weekly active users. Google says AI Mode has passed 1 billion monthly users and is becoming a default part of how people continue searches after AI Overviews.
The businesses that build multi-engine visibility now will keep adding evidence while adoption grows. The businesses that wait will wonder why their phone stopped ringing even though their Google reviews look great.
Each AI engine trusts different sources. Once you know which sources matter for which engine, you can build your presence across all of them instead of hoping a single-platform strategy carries you. Turn that source map into a recurring workflow with How to Audit AI Search Visibility Across Locations, then use The Citation Stack for AI Search to decide which third-party sources deserve cleanup first.
Check where you stand today with the free Cheers AI Visibility Score.
Sources
- Yext: AI Visibility in 2025 (6.8M Citation Study)
- Yext: AI Citations Press Release
- Princeton GEO Paper (KDD 2024): Generative Engine Optimization
- Harvard: Manipulating LLMs to Increase Product Visibility (2024)
- BrightLocal: Local Consumer Review Survey 2026 / AI Trust
- BrightLocal: Consumer Search Behavior (2025)
- E-GEO: Generative Engine Optimization in E-Commerce (2025)
- First Page Sage: Top Generative AI Chatbots (May 2026)
- Google: A New Era for AI Search (I/O 2026)
- Search Engine Land: How ChatGPT Conducts Local Searches
Dylan Allen-Arnegård is the CEO of Cheers, the local search platform for service businesses.