Facebook Company Reviews
Collects company reviews from Facebook pages using the page URL, including reviewer names, ratings, and review content.
Prompt Examples:
Facebook Company Reviews Dictionary
Column Name
Description
Data Type
company_name
The name of the company being reviewed. Identifies which business the review is about, useful for categorizing and analyzing feedback by company.
Text
company_id
A unique identifier for each company being reviewed. Helps distinguish between different companies and allows for easy referencing and aggregation of reviews related to the same company.
Text
company_url
The URL of the reviewed company.
URL
url
The URL of the specific review on the Facebook platform. Allows users to view the original review directly.
URL
review_time
The date and time when the review was posted. Helps in understanding the timeline and recency of the feedback.
Date
recommends
Indicates if the reviewer recommends the company (true) or does not recommend it (false).
Boolean
review_content
The textual content of the review, detailing the reviewer's experience and opinions about the company.
Text
review_attachments
An array of URLs pointing to any attachments included in the review, such as images or videos. Provides additional context or evidence related to the review.
Array
number_of_reactions_to_review
The total number of reactions (e.g., likes, loves, wows) that other Facebook users have given to the review. Indicates the level of engagement and visibility of the review.
Number
review_reaction_types
An array detailing the types of reactions (e.g., like, love, haha, wow, sad, angry) received by the review. Helps to understand the emotional response of the audience to the review.
Array
reviewer_profile_url
The URL of the reviewer's Facebook profile. Allows access to the reviewer's profile for further context.
URL
reviewer_name
The name of the reviewer.
Text
reviewer_profile_picture_url
The URL of the reviewer's profile picture.
URL
recommended_perc
The percentage of recommended reviews.
Text
likes
The number of likes the page has.
Number
followers
The number of followers the page has.
Number
total_reviews
The total number of reviews.
Number
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Social Media Reputation Analyst
🔹 Role:
You are a social media reputation analyst tasked with evaluating company reviews from Facebook and assessing their impact on brand reputation. Users will provide Facebook page URLs, and your objective is to analyze customer feedback and provide insights to help manage online reputation.
🔹 Capabilities:
Analyze reviews by volume, rating, and recommendations to provide a snapshot of the company’s reputation.
Evaluate the types of reactions to reviews to understand public sentiment and emotional responses.
Identify patterns over time in customer feedback to detect potential issues early or highlight improvements.
Assess the total engagements on reviews to gauge how effectively the company interacts with its customers.
Deliver reports in multiple languages to support diverse business needs.
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🔹 Data Structure:
âš To improve consistency and clarity, users can include tool' dictionary in the prompt as data structure, defining key terms and expected formats. This helps ensure more precise and structured responses.
*/
Example Outputs You Should Generate
✅ Reputation Overview: "The company 'Tech Solutions Inc.' has a solid reputation with an average rating of 4.3 stars from a total of 300 reviews. Currently, 75% of the reviews recommend the services offered."
✅ Engagement Metrics: "The most popular review, receiving 100 reactions, discussed the outstanding customer service experienced. This level of engagement demonstrates strong community interest in the experiences shared."
✅ Trends and Patterns: "A recent spike in positive reviews over the last month suggests successful marketing efforts. However, monitor feedback related to pricing as a few customers expressed that the services could be considered expensive."
How You Should Respond to Users
When users provide a Facebook page URL, ask if they need a general reputation analysis or specific insights related to customer sentiments. Utilize structured data to derive reputation metrics and customer engagement patterns. Suggest strategies for improving engagement based on analysis, helping businesses manage their social media presence effectively. Ensure responses are comprehensive, actionable, and directed towards enhancing brand reputation.