Instly Intelligence Layer
AI Visibility Audit
How confidently AI search engines can understand, trust, cite, and recommend instlytechnologies.com.
Website instlytechnologies.com
Industry AI Infrastructure for Insurance / Insurtech
Key pages analysed 5
AI Visibility Audit
12 Jul 2026
70/ 100
Moderate - fixable in ~30 days
5Key pages analysedPrioritised
3Priority risksAction needed
1Schema blocksFound
MediumSecret exposureChecked
Executive Summary
Instly Technologies possesses a highly sophisticated, entity-rich technical narrative that AI search engines can easily parse and understand. However, its AI visibility and recommendation potential are severely bottlenecked by a complete lack of third-party trust proof (such as case studies or client testimonials) and broken conversion paths (empty CTA links). While the site establishes a decent foundation with its detailed FAQ page, AI engines will hesitate to actively recommend the business to high-intent buyers until these validation and technical gaps are resolved.Executive Snapshot
Where the score comes from
The score reflects how much evidence, structure, trust, answer coverage, and conversion clarity Scout found during the scan.
AI Visibility
74/100
Buyer Intent
64/100
Trust & Credibility
52/100
SEO & AEO
62/100
Technology Stack
60/100
Security & Privacy
62/100
Weak: 0-39Moderate: 40-69Strong: 70-100
Competitive Benchmark
Where instlytechnologies.com sits
An estimated AI-visibility benchmark based on scanned page evidence, not a live search ranking. In production, Scout replaces these bands with named competitors from the same category and region.Category leadersStrong proof, comparison pages, schema
72-82
Niche content competitorsWin specific answer queries
62-74
Generic category pagesEstablished trust, weaker product clarity
45-60
instlytechnologies.comStrong base, optimisation opportunities remain
70
Top Priority Issues
HighEffort Medium
AI search engines (like Perplexity, Gemini, and Claude) prioritize entities with strong third-party validation when answering commercial recommendation queries. Without named case studies, client logos, or testimonials, AI engines will struggle to verify Instly's real-world efficacy, leading them to recommend more visible, validated competitors instead.
Evidence: The homepage claims '22 insurers structured' and '4,550 plans modelled', but there are zero named clients, partner logos, testimonials, or case studies across the entire scanned page set.
Recommended fix: Create a dedicated 'Case Studies' or 'Customers' section. Publish at least 2-3 detailed, anonymized or named deployment stories that highlight specific operational metrics (e.g., 'How an IPMI broker reduced quote turnaround from 4 hours to 12 seconds using Instly Engine'). This provides the factual, relational data AI engines need to cite and recommend your services.
HighEffort Low
Non-functional conversion paths prevent human users from converting and stop AI agents from understanding how to guide a user to the next stage of the sales funnel. This results in lost leads and signals poor site maintenance to search engine quality evaluators.
Evidence: Primary call-to-action buttons such as 'Talk to us', 'Start a conversation', and 'Book a demonstration' on the homepage and FAQ pages have empty href attributes (href="").
Recommended fix: Replace all empty href attributes on primary buttons with direct links to an active calendar scheduler (e.g., Calendly) or a dedicated contact form page (/contact). Ensure these links are fully crawlable and clearly labeled.
MediumEffort Low
Without structured data on core pages, AI engines must rely on heuristic parsing to understand your business entity, products, and geographic footprint. This increases the risk of misinterpretation and reduces the likelihood of appearing in rich snippets or structured AI search results.
Evidence: The structuredData array is completely empty for the homepage and the '/what-we-do' page. Only the '/faq' page contains structured data, which appears truncated in the crawl.
Recommended fix: Implement JSON-LD schema markup across all core pages. Add 'Organization' schema to the homepage (linking to social profiles, founders, and Estonia/Thailand registration details) and 'Product' or 'SoftwareApplication' schema to the '/what-we-do' page for core products like 'Instly Engine' and 'Nomi'.
Analysis By Domain
AI Visibility74/100
- Instly's content is highly readable for Large Language Models (LLMs) due to its clean, semantic HTML structure and precise industry terminology (e.g., 'IPMI', 'IPID', 'rPPG', 'rate normalisation'). The site is highly citeable for informational queries regarding insurance technology definitions because of its comprehensive FAQ page. However, for commercial recommendation queries ('best AI infrastructure for insurance brokers'), AI engines will likely bypass Instly in favor of competitors with stronger external citations, press mentions, or verified client portfolios, as Instly currently lacks these relational trust signals.
Buyer Intent64/100
- The site excels at the awareness and evaluation stages, explaining complex technical problems (e.g., why static lookup tables fail for dynamic pricing) and detailing its product suite. However, it completely neglects the decision and risk-mitigation stages. There is no pricing transparency (even high-level model types), no clear onboarding timeline, and no mention of service level agreements (SLAs) or security compliance certifications (e.g., SOC 2, ISO 27001), which are critical for enterprise insurance buyers.
Trust & Credibility52/100
- The raw numbers presented (22 insurers, 71,400 configurations) are excellent quantitative proof points. However, the qualitative proof is entirely missing. There are no client logos, partner endorsements, or founder credentials detailed beyond 'operators with 25+ years inside insurance'. AI engines rely heavily on cross-referencing entity relationships; without explicit mentions of trusted partners or clients, the trust score remains low.
SEO & AEO62/100
- Heading structures are generally logical, though some pages have repetitive navigation blocks in the visible text. The semantic density of terms like 'normalised pricing API', 'underwriting rules', and 'multi-currency' is excellent for Answer Engine Optimization (AEO). The FAQ page is a major asset, but its schema markup is truncated and needs validation.
Technology Stack60/100
- The site leverages a modern, high-performance stack including Vercel, Supabase, and GitHub, with integrations across Anthropic, OpenAI, and Gemini. This signals a highly capable technical foundation. However, the lack of canonical tags and structured data on core pages limits its technical discoverability.
Security & Privacy62/100
- The privacy policy is well-structured and specifically aligned with Thailand's PDPA, which is appropriate given the registration of Instly Co Ltd in Thailand. However, a medium-severity security signal was detected: a 'Secret-like browser storage key' in the page HTML across multiple pages. While this is not a full penetration test, exposing sensitive-looking keys in browser storage or client-side code poses a trust risk that should be audited by developers.
30-Day Priority Roadmap
1
Week 1Crawlability
Quote-page fallback and unique metadata.
2
Week 2AI structure
Schema and FAQ answer blocks.
3
Week 3Trust proof
Reviews, compliance and proof assets.
4
Week 4Conversion
Performance QA and measurement.
What Next
| Step | Priority | Outcome |
|---|---|---|
| 1 | Fix critical crawlability blockers | Make the quote path, key product pages, and high-intent CTAs readable to search engines and AI answer systems. |
| 2 | Add structured proof | Publish schema, trust signals, reviews, credentials, security reassurance, and visible evidence that supports the commercial claims. |
| 3 | Expand buyer-intent answers | Add concise FAQ and comparison content for eligibility, claims, pricing, coverage, objections, and next steps. |
| 4 | Rescan after implementation | Run Scout again after changes to measure score movement and identify the next layer of visibility improvements. |
| 5 | Move into implementation | Use the audit as a working backlog for content, technical SEO, schema, conversion, and trust improvements. |
Methodology & Scope
What Scout scanned
Scout analysed 5 key pages - the highest-intent pages found from the entry point (pricing, FAQs, product, contact and similar) - scoring evidence against the dimensions AI answer engines rely on: offer clarity, buyer intent, trust proof, AI readability, technical structure, and conversion path.
Each dimension is weighted into the overall 70 / 100 AI visibility score shown on the cover.
How to read this report
Benchmark bands are estimated from scanned-page evidence, not live search rankings, and this is not a penetration test.
Scores reflect the evidence available at scan time (12 Jul 2026) and are designed to be re-measured after implementation.
Need this implemented?
Instly can turn this audit into a focused plan across content, schema, conversion pages, trust proof, security reassurance, and measurement - making the site easier for AI systems to understand, trust, cite, and recommend.