How to Conduct Deep Brand Research Using AI-Powered Prompt Chaining
If you’re looking to research a company, analyze reviews, and synthesize insights into an authoritative marketing statement, using structured prompt chaining ensures the most accurate, synthesized, and data-rich results.
In this guide, we’ll walk through an optimized AI prompt sequence to gather, analyze, and synthesize company data in a way that ensures thorough, error-proof insights.
Before running any prompts, define the company details as template variables for easy reuse:
[COMPANY_NAME] = [Insert Full Company Name] [ALTERNATE_COMPANY_NAMES] = [Any Other Known Names] [WEBSITE_URLS] = [Official Website URLs] [REVIEW_WEBSITES] = houzz, bbb, google reviews, facebook, yelp, guildquality, birdeye.com, mapquest, cladsiding
💡 Tip: Add any additional review sites where the company may have customer feedback.
First, we collect company information, including services, background, and unique differentiators.
Act as a researcher. Crawl through all the pages at [COMPANY_NAME]’s website ([WEBSITE_URLS]) and learn about the company. Synthesize the content into key details: 1. Overview (history, mission, purpose). 2. Services and products offered. 3. Key differentiators. Store findings under **COMPANY_INFO** and confirm when complete.
Now, we extract real customer feedback from major review sites.
Search the web for customer reviews of [COMPANY_NAME] (also known as [ALTERNATE_COMPANY_NAMES]). Use the following sources: [REVIEW_WEBSITES] and any additional relevant review sites. 1. Gather star ratings and customer satisfaction scores. 2. Identify positive and negative review patterns. 3. Note any major complaints or praise. Store findings under **REVIEWS** and confirm when complete.
This step expands on the previous reviews, ensuring that all customer feedback has been fully analyzed across multiple sources.
Conduct a **thorough** search of ALL review sites for [COMPANY_NAME]. 1. Aggregate all good and bad reviews. 2. List the sources used. 3. Calculate **average individual and overall ratings**. 4. Convert into KPI metrics (Customer Satisfaction %, Timeliness %, Work Quality %, Communication %). Store findings under **THOROUGH_REVIEWS** and confirm when complete.
This step gathers company credibility—awards, accreditations, and industry recognition.
Search for **awards, certifications, achievements, differentiators, and clout factors** for [COMPANY_NAME]. 1. List industry-recognized awards (e.g., Guildmaster, Houzz, BBB). 2. Document certifications (e.g., James Hardie Elite, NARI, EPA). 3. Note any publications, features, or high-profile partnerships. Store findings under **CERTIFICATIONS** and confirm when complete.
Using all previous research, generate a high-authority brand statement.
Using knowledge from **COMPANY_INFO, REVIEWS, THOROUGH_REVIEWS, and CERTIFICATIONS**, synthesize an authoritative brand statement. 1. Highlight the company’s **credibility, differentiators, and service quality**. 2. Use actual **stats and awards** to substantiate authority. 3. Ensure data integrity with **verified review ratings**. Store findings under **HIGHLIGHTS** and confirm when complete.
This step answers: What benefits will customers experience after using the company’s services?
Based on all gathered research, summarize **additional benefits customers experience** after using [COMPANY_NAME]'s service. 1. Emotional and practical benefits (e.g., improved home value, reduced stress). 2. Long-term advantages (e.g., warranties, lower maintenance). Limit response to **700 characters** and store under **BENEFITS**.
Now, we optimize the StoryBrand questions based on all refined research.
Reprocess each **StoryBrand Question** based on all collected data: - Compare each new answer to the original. - Ensure responses are **succinct, clear, and authority-driven**. Store updated findings under **SB_QUESTIONS** and confirm when complete.
Now, we compile everything into a high-value report featuring:
Print out the final research report with the following structure: ### **Story Brand Questions** (Output SB_QUESTIONS) ### **Benefits** (Output BENEFITS) ### **Brand Authority** (Output AUTHORITY)
How to Conduct Deep Brand Research Using AI-Powered Prompt Chaining
If you’re looking to research a company, analyze reviews, and synthesize insights into an authoritative marketing statement, using structured prompt chaining ensures the most accurate, synthesized, and data-rich results.
In this guide, we’ll walk through an optimized AI prompt sequence to gather, analyze, and synthesize company data in a way that ensures thorough, error-proof insights.
Before running any prompts, define the company details as template variables for easy reuse:
[COMPANY_NAME] = [Insert Full Company Name] [ALTERNATE_COMPANY_NAMES] = [Any Other Known Names] [WEBSITE_URLS] = [Official Website URLs] [REVIEW_WEBSITES] = houzz, bbb, google reviews, facebook, yelp, guildquality, birdeye.com, mapquest, cladsiding
💡 Tip: Add any additional review sites where the company may have customer feedback.
First, we collect company information, including services, background, and unique differentiators.
Act as a researcher. Crawl through all the pages at [COMPANY_NAME]’s website ([WEBSITE_URLS]) and learn about the company. Synthesize the content into key details: 1. Overview (history, mission, purpose). 2. Services and products offered. 3. Key differentiators. Store findings under **COMPANY_INFO** and confirm when complete.
Now, we extract real customer feedback from major review sites.
Search the web for customer reviews of [COMPANY_NAME] (also known as [ALTERNATE_COMPANY_NAMES]). Use the following sources: [REVIEW_WEBSITES] and any additional relevant review sites. 1. Gather star ratings and customer satisfaction scores. 2. Identify positive and negative review patterns. 3. Note any major complaints or praise. Store findings under **REVIEWS** and confirm when complete.
This step expands on the previous reviews, ensuring that all customer feedback has been fully analyzed across multiple sources.
Conduct a **thorough** search of ALL review sites for [COMPANY_NAME]. 1. Aggregate all good and bad reviews. 2. List the sources used. 3. Calculate **average individual and overall ratings**. 4. Convert into KPI metrics (Customer Satisfaction %, Timeliness %, Work Quality %, Communication %). Store findings under **THOROUGH_REVIEWS** and confirm when complete.
This step gathers company credibility—awards, accreditations, and industry recognition.
Search for **awards, certifications, achievements, differentiators, and clout factors** for [COMPANY_NAME]. 1. List industry-recognized awards (e.g., Guildmaster, Houzz, BBB). 2. Document certifications (e.g., James Hardie Elite, NARI, EPA). 3. Note any publications, features, or high-profile partnerships. Store findings under **CERTIFICATIONS** and confirm when complete.
Using all previous research, generate a high-authority brand statement.
Using knowledge from **COMPANY_INFO, REVIEWS, THOROUGH_REVIEWS, and CERTIFICATIONS**, synthesize an authoritative brand statement. 1. Highlight the company’s **credibility, differentiators, and service quality**. 2. Use actual **stats and awards** to substantiate authority. 3. Ensure data integrity with **verified review ratings**. Store findings under **HIGHLIGHTS** and confirm when complete.
This step answers: What benefits will customers experience after using the company’s services?
Based on all gathered research, summarize **additional benefits customers experience** after using [COMPANY_NAME]'s service. 1. Emotional and practical benefits (e.g., improved home value, reduced stress). 2. Long-term advantages (e.g., warranties, lower maintenance). Limit response to **700 characters** and store under **BENEFITS**.
Now, we optimize the StoryBrand questions based on all refined research.
Reprocess each **StoryBrand Question** based on all collected data: - Compare each new answer to the original. - Ensure responses are **succinct, clear, and authority-driven**. Store updated findings under **SB_QUESTIONS** and confirm when complete.
Now, we compile everything into a high-value report featuring:
Print out the final research report with the following structure: ### **Story Brand Questions** (Output SB_QUESTIONS) ### **Benefits** (Output BENEFITS) ### **Brand Authority** (Output AUTHORITY)