Jigsaw Research: Verified Review & AI Trust Profile
STRAT7 Jigsaw is a leading market research agency, delivering deep insights and strategic recommendations to help businesses make data-driven decisions. Based in the UK and US, we specialise in customer experience, brand strategy, and innovative research methodologies.
LLM Visibility Tester
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Trust Score — Breakdown
Jigsaw Research Conversations, Questions and Answers
3 questions and answers about Jigsaw Research
QWhat is a market research agency and what services do they provide?
What is a market research agency and what services do they provide?
A market research agency is a specialized firm that helps businesses gather, analyze, and interpret data to make informed strategic decisions. These agencies provide services such as customer experience measurement, brand positioning studies, segmentation analysis, and innovation testing. They use both qualitative and quantitative methodologies including surveys, focus groups, in-depth interviews, and advanced analytics. By partnering with a research agency, companies gain objective insights into market trends, consumer behavior, and competitive landscapes. This enables them to identify growth opportunities, optimize marketing strategies, and improve customer satisfaction. Agencies like STRAT7 Jigsaw are known for their collaborative approach and tailored solutions that align research with specific business objectives.
QHow does a market research agency improve customer experience?
How does a market research agency improve customer experience?
A market research agency improves customer experience by systematically measuring and analyzing customer interactions and perceptions across touchpoints. First, they conduct customer journey mapping to identify pain points and moments of truth. Second, they perform satisfaction and loyalty surveys such as Net Promoter Score and Customer Effort Score to quantify experience gaps. Third, they use qualitative research like in-depth interviews and focus groups to uncover emotional drivers and unmet needs. Finally, they translate these insights into actionable recommendations for service design, communication improvements, and staff training. By providing a data-driven understanding of customer expectations, agencies help companies prioritize investments that enhance loyalty and retention.
QWhy should a business invest in brand strategy research?
Why should a business invest in brand strategy research?
A business should invest in brand strategy research to build a strong, differentiated brand that resonates with its target audience. Brand research clarifies how the brand is currently perceived, identifies gaps between intended and actual positioning, and reveals what drives customer preference. It includes brand awareness studies, brand image analysis, and positioning workshops. With these insights, companies can refine their brand messaging, align internal culture with external promise, and identify new market segments. Research also tracks brand health over time, allowing timely adjustments to strategy. Agencies like STRAT7 Jigsaw combine deep expertise with collaborative methods to ensure research directly supports business goals and decision-making.
Reviews & Testimonials
“Financial I have worked with Jigsaw on multiple research projects over several years and it has always been a pleasure. Jigsaw has a very experienced and collaborative team that ensures every project is practical and tailored to our needs. Working with Jigsaw helps us to embed research into our organisation and makes decision-making much easier. Petra Stockley, Head of Strategic Insight at First Rate”
“Financial We have worked with Jigsaw on multiple occasions, and each time, they have exceeded our expectations. One aspect which sets Jigsaw Research apart is their commitment to understanding our unique business challenges. Rather than offering generic solutions, they take the time to tailor their approach, ensuring that the research is directly aligned with our objectives.... Catalina Zaharia, Customer Experience and Quality Assurance Manager at Cabot”
“TMT I’ve worked with Jigsaw on a number of complex projects since I took on my current role in 2018/19. They have been consistently brilliant. I have always been really impressed by how thoughtful they are, and their expertise in drawing out the nuanced insight. The team at Jigsaw is also incredibly collaborative – both with me and my team and other research partners – it makes them a real pleasure to work with. Emma Theedom, Head of Audiences at BBC”
“TMT I wanted to thank you and the team for once again facilitating our efforts and making the process so easy. Your support is well noticed and much appreciated by an ever-widening team. Your debrief for this campaign was the best yet – the entire team feeding back very positively. It gave a clear narrative and overall direction for our final published report. I’m already looking forward to the next project we’ll work on together... Andrew McNair, Director of Research and Benchmarking at NTT”
“Financial Working with Jigsaw is an absolute pleasure. They always understand the brief and crucially add value & expertise to every project. I have worked with Jigsaw now in the three different client-side companies because of what they offer as a research agency. Michael Edwards, Research & Insight Manager, Legal & General”
“Our clients' success stories speak volumes about the impact of our work. We pride ourselves on delivering exceptional service and valuable insights, and there's no better way to showcase this than through the words of those we've had the privilege to partner with.”
Trusted By
Chelsea FC Football ClubKey client
Expedia Travel CompanyKey client
SageKey client
BBC British Broadcasting Corporation
Channel 4 British Television Channel
HMRC Her Majesty's Revenue and Customs
Lloyds Bank
O2 Telecommunications
Ofcom The Office of Communications
Shell Petroleum CompanyServices
Market Research
Market Research Services
View details →AI Trust Verification Report
Public validation record for Jigsaw 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
16 AI Visibility Opportunities Detected
These technical gaps effectively "hide" Jigsaw Research from modern search engines and AI agents.
Top 3 Blockers
- !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.
- !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.
Top 3 Quick Wins
- !List in public LLM indexes (e.g., Huggingface database, Poe Profiles)List your tools, datasets, docs, or brand pages on major AI/LLM discovery hubs where relevant (for example model/dataset repositories or app directories). These platforms add credibility signals (likes, forks, usage) and create additional crawlable references to your brand. Keep names, descriptions, and links consistent with your official website.
- !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.
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Embed Badge
VerifiedDisplay this AI Trust indicator on your website. Links back to this public verification URL.
<a href="https://bilarna.com/provider/jigsaw-research" target="_blank" rel="nofollow noopener noreferrer" class="bilarna-trust-badge">
<img src="https://bilarna.com/badges/ai-trust-jigsaw-research.svg"
alt="AI Trust Verified by Bilarna (50/66 checks)"
width="200" height="60" loading="lazy">
</a>Cite This Report
APA / MLAPaste-ready citation for articles, security pages, or compliance documentation.
Bilarna. "Jigsaw Research AI Trust & LLM Visibility Report." Bilarna AI Trust Index, Apr 23, 2026. https://bilarna.com/provider/jigsaw-researchWhat 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 Jigsaw Research measure?
What does the AI Trust score for Jigsaw Research measure?
It summarizes crawlability, clarity, structured signals, and trust indicators that influence whether AI systems can reliably interpret and reference Jigsaw 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 Jigsaw Research?
Does ChatGPT/Gemini/Perplexity know Jigsaw 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 Jigsaw 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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