For any company, one of the most important activities is understanding what consumers really think about their brand. With technological evolution, the methods of conducting this analysis have changed. No longer limited to basic surveys—often unreliable—businesses now turn to Artificial Intelligence (AI).
AI algorithms analyze massive amounts of data and extract meaningful insights. This method is far more reliable because it captures the real, unfiltered thoughts of consumers, free from external influence.
In this article, we will explore:
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How AI works in brand evaluation
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The key metrics that can be analyzed
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The advantages of using AI
Using AI today allows businesses to interpret consumer sentiment much faster and to respond effectively to customer needs.
Artificial Intelligence: A Powerful Tool in Expert Hands
How long would it take—and how many people would it require—to manually collect and analyze millions of pieces of data from comments, images, videos, articles, and forums? Such a process would demand enormous human and financial resources, with lengthy timeframes and questionable accuracy. Important signals could easily be overlooked.
By contrast, properly trained algorithms can identify patterns that would be nearly impossible for the human mind to detect.
At MRC Omnichannel, our algorithms process datasets ranging from 300,000 to 500,000 items. From this foundation, we measure specific brand-related metrics to give clients a complete view of what people really think. Another key advantage of AI is speed—results arrive far quicker than with any traditional method.
Net Sentiment
Net Sentiment reveals how consumers feel about a product or service.
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If the metric is negative, the brand should consider withdrawing the product or service, since it generates unfavorable perception and damages brand reputation.
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If the metric is positive, the product or service is well received by consumers.
While AI can process vast amounts of sentiment data, human interpretation remains essential. At MRC Omnichannel, our experts contextualize the results, offering clients clear, reliable explanations and recommendations for action.
Consumer Loyalty
Loyalty measures the likelihood that a consumer will purchase a product again after their initial experience.
By observing post-purchase behavior, brands can determine whether buyers had positive or negative experiences. Negative feedback significantly reduces the chance of repeat purchases.
Through these insights, companies can adjust their offerings to improve customer retention.
Brand Feeling
Brand feeling refers to overall consumer perception of a brand. Even if a product or service is of high quality, a negative perception can prevent sales.
Understanding what drives negative perceptions—and how to shift them—is therefore critical to improving brand performance.
Brand Position
MRC Omnichannel algorithms also measure a brand’s position within the communication network.
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A brand or product with a central role in the constellation of discussions is strong and strategically well placed.
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A brand mentioned only marginally is weak and must reposition itself to gain relevance.
Brand Connectivity
Connectivity measures how effectively a brand links to different themes and concepts in consumer conversations.
While expanding connections is beneficial, it is equally important that brands remain consistent with their values and history to maintain authenticity.
The Advantages of Using AI
The use of Artificial Intelligence offers several advantages:
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Massive data analysis: Algorithms can process vast datasets quickly, extracting multiple meaningful metrics.
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Honest signals: Consumers expressing themselves online—through comments, reviews, or social media posts—are not influenced by questionnaires or interviews. Their opinions are raw, honest, and authentic.
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Greater precision: Insights derived from AI allow brands to take targeted, effective actions to improve results.
Finally, the role of human valuation remains fundamental. The professionals at MRC Omnichannel give meaning to data, highlighting brand strengths and identifying weaknesses to address.