21.77% of Canadian Insurance Reviews are Likely AI in 2025

The widespread availability of generative artificial intelligence (AI) tools has introduced a new dimension to online content creation, including customer reviews.

This has significant implications for industries where consumer trust is paramount, such as the insurance sector.

In Canada, insurance companies occupy a critical role in the financial well-being and risk management of individuals and businesses alike. 

From auto and home to health and life insurance, policyholders often rely on online reviews to make informed decisions about which providers to trust. 

However, the increasing presence of AI reviews across a number of platforms, including Canadian ‘Big 5’ Banks, Canadian Online Banks, and Glassdoor, raises important concerns. 

• Are prospective customers being misled by reviews that were not written by real policyholders? 
• To what extent are AI reviews shaping perceptions of service quality in the Canadian insurance market?

This study aims to analyze the impact of AI on consumer reviews for Canadian insurance companies. 

Objectives of the Study

This study investigates the prevalence of AI-generated content in consumer reviews of Canadian insurance companies between 2018 and 2025.

By examining these aspects, this study aims to offer new insights into how synthetic content is redefining public perception and digital engagement in the Canadian insurance sector.

Our analysis centers on these guiding questions:

• What percentage of insurance-related customer reviews are likely AI?
• How has the frequency of AI reviews changed over time?
• What are the broader implications of these trends for consumer trust, industry regulation, and digital reputation management?

The findings are intended to inform both consumers and regulators about the growing need for transparency, accountability, and trust in online reviews.

Key Takeaways (TL;DR)

• In 2025, Likely AI reviews in Canadian Insurance surged to 21.77%
• In 2025, over 1 in 5 insurance reviews are Likely AI.
• Comparatively:
  
  • In 2018, 2% of reviews = Likely AI
  • By 2024, 11.61% of reviews = Likely AI
  • As of 2025, 21.77% of reviews = Likely AI
• From 2018 to 2025, this represents a 988% rise in the prevalence of AI reviews. 

This trend suggests a significant shift in communication practices for reviews in the Canadian insurance sector.

2018 to 2025: Likely AI Canadian Insurance Reviews Increased 988%

The analysis of consumer reviews for Canadian insurance companies shows a clear and sustained increase in AI-generated content over the observed time period. 

Key Observations: 

• In 2018, only 2.00% of reviews were flagged as AI-generated. 
• By 2024, the rate of Likely AI reviews had climbed to 11.61%, reflecting the growing adoption of generative AI tools in online review writing. 
• In 2025, the rate rose even further to 21.77%.
• This indicates that in 2025, over 1 in 5 insurance-related reviews are Likely AI.

The overall increase from 2018 to 2025 represents a 988% rise in the prevalence of AI-generated reviews. 

This sharp upward trajectory highlights the rapid integration of AI tools in consumer-facing digital platforms and signals a fundamental change in how public perception is shaped online.

21.77% of Canadian Insurance Reviews are Likely AI in 2025

The growing presence of AI-generated reviews presents both opportunities and challenges for insurers. 

While AI-generated tools may enhance linguistic quality and accessibility, their use in customer feedback introduces questions about authenticity, transparency, and influence on purchasing behaviors. 

These findings underscore the need for monitoring tools and content moderation strategies that can help preserve the integrity of online review ecosystems in trust-based industries like insurance.

How Does This Impact Readers?

The significant rise in AI-generated content within consumer reviews of Canadian insurance companies presents a notable shift in how feedback is being produced and consumed online. 

In a sector like insurance, where customers rely heavily on reviews (given the complexity and long-term nature of insurance contracts), the presence of synthetic content poses important ethical and regulatory concerns. 

If a growing share of reviews are generated by AI rather than real customers, the credibility of review platforms could be undermined, and genuine consumer voices may be diluted. 

This raises concerns not only for customers making informed decisions but also for companies attempting to maintain fair competition and transparent reputations.

Final Thoughts

The findings show a 988% increase from 2018 to 2025 in Likely AI insurance reviews, underscoring a rapid evolution in the digital feedback landscape.

While AI-assisted writing offers benefits such as improved clarity and accessibility, its unchecked presence in consumer review platforms presents risks to transparency and trust.

As generative AI continues to evolve and its use becomes more widespread, it is critical that review platforms, regulators, and businesses implement mechanisms for disclosure, verification, and moderation.

In a trust-dependent industry like insurance, preserving the authenticity of customer experiences must remain a priority.

Wondering whether a post or review you’re reading might be AI-generated? Use the Originality.ai AI detector to find out.

Read more about the impact of AI:

• Is That Canadian “Big 5” Bank Review You’re Reading, Real or Fake?
• How Originality.ai Could Have Prevented the AI-Generated Book List Scandal
• 1,586% Increase in AI Lawyer’s Office Reviews in the USA: 2022 to 2025
• 376.3% Increase in AI Glassdoor Reviews for S&P 500 Companies: 2022 to 2024
• 73% of Abstracts in AI Journals are AI-Generated in 2025
• 1367% Increase in AI Climate Change Paper Abstracts: 2018 to 2025

Methodology

This study analyzed the prevalence of AI-generated reviews in the Canadian insurance sector using data from public review platforms and the Originality.ai AI detection tool. The process had two main phases: (1) data collection via web scraping and (2) AI detection using the Originality.ai API.

Data Collection

Consumer reviews of Canadian insurance companies were scraped from Trustpilot Canada using a Python script. 

• The scraper navigated paginated listings, extracting review text and timestamps with BeautifulSoup. 
• Metadata was parsed from HTML tags and saved incrementally to a CSV file. 

The script supported resumable scraping and included time delays to avoid server overload, producing a large, timestamped review dataset.

AI Detection

Reviews (50+ words) were scanned with Originality.ai, which returned a binary classification and confidence score. A Python script processed each review, logged the outcome, and saved results in batches of 500 to ensure data progress was retained. 

Upon completion, the final output was stored in a CSV file containing the review date, company, review content, AI score, AI classification, and scan status.

This structured, scalable method enabled a comprehensive assessment of AI-generated review content in the Canadian insurance industry.