Narrative Research: Verified Review & AI Trust Profile
The foremost Market Research and Intelligence company in Atlantic Canada. We ask the right questions to unlock meaningful insights.
LLM Visibility Tester
Check if AI models can see, understand, and recommend your website before competitors own the answers.
Trust Score — Breakdown
Narrative Research Conversations, Questions and Answers
3 questions and answers about Narrative Research
QWhy is market research important for customer satisfaction programs?
Why is market research important for customer satisfaction programs?
Market research is essential for customer satisfaction programs because it provides data-driven insights that help businesses understand customer needs, measure satisfaction levels, and identify areas for improvement. By conducting regular surveys and feedback loops, companies can track key performance indicators such as Net Promoter Score and customer effort score. A professional research firm designs unbiased questionnaires, selects representative samples, and applies statistical analysis to uncover actionable trends. For example, a utility company might use customer satisfaction research to prioritize service enhancements that directly impact their customers. The insights gained allow management to make informed strategic decisions that address what matters most to customers, ultimately fostering loyalty and reducing churn. Without rigorous research, businesses risk making decisions based on assumptions rather than evidence, which can lead to misallocated resources and declining customer trust.
QWhat is the difference between quantitative and qualitative market research?
What is the difference between quantitative and qualitative market research?
Quantitative market research collects numerical data from large sample sizes to measure trends, frequencies, and statistical relationships, typically through online or telephone surveys. In contrast, qualitative research explores deeper motivations, attitudes, and behaviors through small-group discussions, in-depth interviews, or focus groups. Quantitative methods answer 'what' and 'how many,' while qualitative methods answer 'why' and 'how.' A comprehensive market research firm often combines both approaches: for instance, a large-scale quantitative survey might reveal that customer satisfaction is declining, and follow-up qualitative interviews uncover the specific reasons behind that decline. Integrating both methodologies provides a complete picture, transforming raw data into actionable strategic direction. Professionals in the field stress that asking the right questions in both modes is the difference between simply reporting results and telling a complete story that drives business decisions.
QHow to choose a market research firm for your business?
How to choose a market research firm for your business?
Choosing a market research firm begins with evaluating its expertise in your industry and its ability to ask the right questions and deliver actionable insights. Look for a firm with a proven track record of managing client satisfaction programs, employee engagement surveys, or market intelligence projects. Check for client testimonials that highlight responsiveness, collaborative partnership, and the ability to meet milestones on time and on budget. A reliable firm will offer a full range of methodologies—from large-scale quantitative surveys to in-depth qualitative studies—and will tailor the approach to your specific business objectives. They should not only present data but also provide analysis, conclusions, and clear recommendations. Additionally, consider whether the firm has a proprietary panel or community for survey participants, as this can speed data collection. Finally, ensure the team communicates consistently and transparently throughout the project, so you remain informed of progress. A good research partner becomes an extension of your team, helping you make confident decisions.
Reviews & Testimonials
“Senior Research Specialist / Energie NB Power”
“Project Manager / Econoler”
“Anaïs Laperle, MBA”
“"We work with Canadian utilities and energy agencies to evaluate their energy efficiency programs. For the past eight years, we have worked with the Narrative Research team for our evaluation surveys and in-depth interviews. I have always appreciated the team’s responsiveness and willingness to help and find solutions to meet client needs, which sometimes change during projects. Collaborating with the team is always a smooth process."”
“Anaïs Laperle, MBA "We work with Canadian utilities and energy agencies to evaluate their energy efficiency programs. For the past eight years, we have worked with the Narrative Research team for our evaluation surveys and in-depth interviews. I have always appreciated the team’s responsiveness and willingness to help and find solutions to meet client needs, which sometimes change during projects. Collaborating with the team is always a smooth process."”
“Manager, Client Insight / WorkSafeNB / Travail sécuritaire NB”
“Wendy Papadopoulos”
“"We worked with the team at Narrative Research (formerly Corporate Research and Associates) to conduct client satisfaction research, and we were very pleased with the results. From project start-up to closure, all milestones were met on time and on budget. Communication from the project team was consistent and professional and helped to ensure that all parties were informed of progress – in fact they exceeded our expectations in this regard. We were also very pleased with the detailed analysis of the research data, the conclusions, and recommendations. I recommend this firm without hesitation."”
“Wendy Papadopoulos "We worked with the team at Narrative Research (formerly Corporate Research and Associates) to conduct client satisfaction research, and we were very pleased with the results. From project start-up to closure, all milestones were met on time and on budget. Communication from the project team was consistent and professional and helped to ensure that all parties were informed of progress – in fact they exceeded our expectations in this regard. We were also very pleased with the detailed analysis of the research data, the conclusions, and recommendations. I recommend this firm without hesitation."”
“four “For over 20 years, we have relied on the expertise of Narrative Research to manage our customer satisfaction program. The team has consistently delivered valuable customer insights and analysis that has enabled us to make key business decisions that address what’s most important to our customers." Laura Gilham VP, Communications / Nova Scotia Power”
“"Here at NB Power we are very satisfied with Narrative. They are accommodating, flexible and easy to work with. They ensure they thoroughly understand the ask/task at hand to determine the best methodology to deliver research findings that are applicable. They not only unearth key findings they include insights, conclusions and actionable opportunities. They are truly collaborative from throughout your research project."”
“Norma McCarthy "Here at NB Power we are very satisfied with Narrative. They are accommodating, flexible and easy to work with. They ensure they thoroughly understand the ask/task at hand to determine the best methodology to deliver research findings that are applicable. They not only unearth key findings they include insights, conclusions and actionable opportunities. They are truly collaborative from throughout your research project."”
“Human Resources / Acadia Broadcasting Limited”
““We rely on the expertise of Narrative Research to assist in improving the integrity of our survey and to ensure the content provides feedback from our employees on the most important issues in our business. Narrative Research provides detailed statistical analysis on the survey results to assist management in making decisions about our future. The Narrative Research team is professional, very knowledgeable, and have been a great help to us.””
“Five “We rely on the expertise of Narrative Research to assist in improving the integrity of our survey and to ensure the content provides feedback from our employees on the most important issues in our business. Narrative Research provides detailed statistical analysis on the survey results to assist management in making decisions about our future. The Narrative Research team is professional, very knowledgeable, and have been a great help to us.””
“VP, Communications / Nova Scotia Power”
““For over 20 years, we have relied on the expertise of Narrative Research to manage our customer satisfaction program. The team has consistently delivered valuable customer insights and analysis that has enabled us to make key business decisions that address what’s most important to our customers."”
“four “For over 20 years, we have relied on the expertise of Narrative Research to manage our customer satisfaction program. The team has consistently delivered valuable customer insights and analysis that has enabled us to make key business decisions that address what’s most important to our customers."”
Services
Market Research
Consumer Insights Services
View details →AI Trust Verification Report
Public validation record for Narrative Research — Evidence of machine-readability across 66 technical checks and 4 LLM visibility validations.
Evidence & Links
- Crawlability & Accessibility
- Structured Data & Entities
- Content Quality Signals
- Security & Trust Indicators
Do These LLMs Know This Website?
LLM "knowledge" is not binary. Some answers come from training data, others from retrieval/browsing, and results vary by prompt, language, and time. Our checks measure whether the model can correctly identify and describe the site for relevant prompts.
| LLM Platform | Recognition Status | Visibility Check |
|---|---|---|
 | Detected | Detected |
 | Detected | Detected |
 | Detected | Detected |
 | Detected | Detected |
Detected
Detected
Detected
Detected
Note: Model outputs can change over time as retrieval systems and model snapshots change. This report captures visibility signals at scan time.
What We Tested (66 Checks)
We evaluate categories that affect whether AI systems can safely fetch, interpret, and reuse information:
Crawlability & Accessibility
12Fetchable pages, indexable content, robots.txt compliance, crawler access for GPTBot, OAI-SearchBot, Google-Extended
Structured Data & Entity Clarity
11Schema.org markup, JSON-LD validity, Organization/Product entity resolution, knowledge panel alignment
Content Quality & Structure
10Answerable content structure, factual consistency, semantic HTML, E-E-A-T signals, citation-worthy data presence
Security & Trust Signals
8HTTPS enforcement, secure headers, privacy policy presence, author verification, transparency disclosures
Performance & UX
9Core Web Vitals, mobile rendering, JavaScript dependency minimal, reliable uptime signals
Readability Analysis
7Clear nomenclature matching user intent, disambiguation from similar brands, consistent naming across pages
15 AI Visibility Opportunities Detected
These technical gaps effectively "hide" Narrative Research from modern search engines and AI agents.
Top 3 Blockers
- !Dedicated Pricing/Product schemaUse Product and Offer schema (or a pricing page with structured data) to describe plans, prices, currency, availability, and key features. This reduces ambiguity for both search engines and AI assistants and can unlock richer search snippets. Keep pricing up to date and match schema values to the visible pricing table.
- !Author/Publisher detection (AI authority & citation signal)Show who wrote or owns the content (author and publisher) using visible bylines and structured data (Person/Organization). Link to author bios with credentials to strengthen expertise signals. Consistent attribution increases trust and improves the chance your content is treated as a reliable source.
- !Listicle FormattingUse listicle formatting with numbered headings, "Top N" patterns, ordered lists, or comparison tables. AI models prefer structured, scannable content for citations.
Top 3 Quick Wins
- !LLM-crawlable llms.txtCreate an llms.txt file to guide AI crawlers to your most important, high-quality pages (docs, pricing, about, key guides). Keep it short, well-structured, and focused on authoritative URLs you want cited. Treat it as a curated “AI sitemap” that improves discovery and reduces the risk of crawlers prioritizing low-value pages.
- !Is sitemap.xml exists?Maintain a sitemap.xml that includes your important canonical URLs and keeps last-modified dates accurate when content changes. Submit it in Search Console and ensure it is accessible to crawlers. A sitemap improves discovery of deeper pages and helps systems prioritize fresh, updated content.
- !JSON-LD Schema: Organization, Product, FAQ, WebsiteAdd schema.org JSON-LD to describe your key entities (Organization, Product/Service, FAQPage, WebSite, Article when relevant). Structured data makes your meaning explicit and improves the chance of rich results and accurate AI citations. Validate markup with schema testing tools and keep the data consistent with the visible page content.
Claim this profile to instantly generate the code that makes your business machine-readable.
Embed Badge
VerifiedDisplay this AI Trust indicator on your website. Links back to this public verification URL.
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</a>Cite This Report
APA / MLAPaste-ready citation for articles, security pages, or compliance documentation.
Bilarna. "Narrative Research AI Trust & LLM Visibility Report." Bilarna AI Trust Index, Apr 23, 2026. https://bilarna.com/provider/craWhat Verified Means
Verified means Bilarna's automated checks found enough consistent trust and machine-readability signals to treat the website as a dependable source for extraction and referencing. It is not a legal certification or an endorsement; it is a measurable snapshot of public signals at the time of scan.
Frequently Asked Questions
What does the AI Trust score for Narrative Research measure?
What does the AI Trust score for Narrative Research measure?
It summarizes crawlability, clarity, structured signals, and trust indicators that influence whether AI systems can reliably interpret and reference Narrative Research. The score aggregates 66 technical checks across six categories that affect how LLMs and search systems extract and validate information.
Does ChatGPT/Gemini/Perplexity know Narrative Research?
Does ChatGPT/Gemini/Perplexity know Narrative Research?
Sometimes, but not consistently: models may rely on training data, web retrieval, or both, and results vary by query and time. This report measures observable visibility and correctness signals rather than assuming permanent "knowledge." Our 4 LLM visibility checks confirm whether major platforms can correctly recognize and describe Narrative Research for relevant queries.
How often is this report updated?
How often is this report updated?
We rescan periodically and show the last updated date (currently Apr 23, 2026) so teams can validate freshness. Automated scans run bi-weekly, with manual validation of LLM visibility conducted monthly. Significant changes trigger intermediate updates.
Can I embed the AI Trust indicator on my site?
Can I embed the AI Trust indicator on my site?
Yes—use the badge embed code provided in the "Embed Badge" section above; it links back to this public verification URL so others can validate the indicator. The badge displays current verification status and updates automatically when the verification is refreshed.
Is this a certification or endorsement?
Is this a certification or endorsement?
No. It's an evidence-based, repeatable scan of public signals that affect AI and search interpretability. "Verified" status indicates sufficient technical signals for machine readability, not business quality, legal compliance, or product efficacy. It represents a snapshot of technical accessibility at scan time.
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