ChatGPT vs Perplexity: AI Recommendation Comparison
Sample of 13094 businesses across 30 industries and 10 Spanish cities. This is not an estimate of the entire market.
Data aggregated on 7 September 2026 from 406 ranking pages. Editorial updates do not refresh this measurement.
ChatGPT
29%
3852 businesses mentioned
Perplexity
26%
3412 businesses mentioned
In this sample, ChatGPT mentions 29% of businesses and Perplexity mentions 26%: a 3-percentage-point difference. This does not establish a universally better model or show whether it recommends your business today.
How to choose between ChatGPT and Perplexity for your task
To check which businesses a customer discovers, compare unbranded web-search questions and inspect the sources. To work on documents you provide, assess that task separately: it does not measure public discovery. These rates do not compare writing or reasoning quality.
In Perplexity, inspect citations and distinguish the business website from directories or portals. A citation lets you check a claim, but does not guarantee the interpretation is correct.
The full 4-model comparison
How all 4 AI models perform across our dataset of Spanish SMBs
What this result can and cannot tell you
Questions, date, location and search mode can change responses. This study observes mentions; it does not identify the algorithm or source that caused each one. Check response links before assigning a cause.
Strategic implications
- 1
Check that your website, services and profiles describe the same business. Correct public errors before interpreting a mention as a commercial opportunity.
- 2
Start with the free check: five initial questions in ChatGPT. To compare models, check plan coverage and keep questions, country and measurement period consistent.
- 3
Separate mentions, citations and visits or enquiries. Absence in one test does not equal losing a fixed share of customers.
Start by checking your business in ChatGPT
The free check includes five initial questions in ChatGPT. Other models depend on the plan; this does not reproduce the historical sample.
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