Overall AI readiness score
A combined result across all audit signals.
Excellent
AI readiness audit: 7/21/2026Public technical data
Overall AI readiness assessment
How ready mersanresearch.com is for AI systems
MersanResearch was independently audited by llmsmap. mersanresearch.com currently scores 78/100 for AI readiness. The result combines AI-specific files, crawler policy, sitemap discovery, structured homepage data, and—when available—the mobile Google Lighthouse technical profile.
Audit context
llms.txt is accessible and contains 378 tokens. An expanded llms-full.txt is also available with 859 tokens, giving agents more direct context. A separate ai.txt policy is published.
robots.txt is available. 11 of 11 tracked AI bots are not blocked. Declared sitemaps: 1. No Schema.org type was detected on the homepage. 0 OpenGraph tags were found and markup completeness is 0%, leaving more entity interpretation to crawlers.
The mobile Lighthouse profile adds Performance 67/100, Accessibility 94/100, Best Practices 96/100, SEO 85/100, and experimental Agentic Browsing 100/100. These signals have a limited weight: they complement rather than replace llms.txt, robots.txt, and structured-data checks.
Confirmed strengths
- Accessible llms.txt
- Expanded llms-full.txt
- Published AI policy
- 1 sitemap declaration
- Strong Google agentic signals
Priority improvements
- 1Add JSON-LD for the organisation, website, and core entities.
- 2Complete OpenGraph and canonical homepage metadata.
- 3Reduce mobile rendering delay and main-thread work.
llms.txt tokens378
llms-full.txt tokens859
ai.txt
sitemap.xml
Google Lighthouse technical profile
A mobile Lighthouse measurement. Google’s experimental Agentic Browsing category is explained separately and does not replace the broader llmsmap AI-readiness score.
67
Performance
94
Accessibility
96
Best Practices
85
Technical SEO
100
Agentic Browsing
What these results mean
Mobile performance is 67/100, with the largest visible content block appearing in 7.6 s and the browser main thread blocked for 10 ms. Layout shift was 0.004. The main thread is where the browser runs JavaScript, calculates layout, and paints the page; long work there delays both user input and browser-agent actions.
Accessibility scored 94/100, Best Practices 96/100, and technical SEO 85/100. The experimental Agentic Browsing category scored 100/100. It measures signals Google currently tests for software agents and is shown separately from the llmsmap AI-readiness score.
1
Free the main thread and accelerate the first view
Split long JavaScript tasks, defer non-critical scripts and styles, and shorten blocking request chains. This helps the primary content appear sooner and makes controls usable earlier.
2
Reduce code that loads without helping the page
Remove unused CSS and JavaScript, load heavy widgets on demand, and limit third-party scripts. Less code means less parsing and background work on the device.
3
Reduce network delay
Improve server response time, remove unnecessary redirects and repeat downloads, and use compression, caching, and selective preconnect hints.
4
Make controls unambiguous
Give buttons and links accessible names, associate labels with fields, and use ordered headings and semantic regions. The same structure helps screen readers and software agents understand actions.
FCP3.9 s
First content
LCP7.6 s
Main content
CLS0.004
Layout stability
TBT10 ms
Blocking time
SI3.9 s
Visual speed
Metric glossary
- FCP · First content
- When the first text or image appeared on screen.
- LCP · Main content
- When the largest visible element in the first viewport rendered.
- CLS · Layout stability
- How much content shifted unexpectedly while loading; lower is better.
- TBT · Blocking time
- How long the browser main thread could not respond quickly to input.
- SI · Visual speed
- How quickly the visible viewport filled with content.
7/21/2026Lighthouse 13.4.0Mobile profile
AI readiness checks
Machine-readable files, crawler policy, discovery, and homepage markup.
Sitemap in robots.txt1
1 sitemap found
Schema.org (JSON-LD)
Schema.org markup was not found on the homepage
OpenGraph0%
OpenGraph tags were not found on the homepage
AI bot access
Based on robots.txt analysis
GPTBotNot mentioned
OAI-SearchBotNot mentioned
ChatGPT-UserNot mentioned
Google-ExtendedNot mentioned
ClaudeBotNot mentioned
Claude-SearchBotNot mentioned
Claude-UserNot mentioned
BytespiderNot mentioned
CCBotNot mentioned
PerplexityBotNot mentioned
Perplexity-UserNot mentioned
Sitemaps
Declared discovery routes for crawlers and agents.
# MersanResearch > MersanResearch is a Turkish firearms manufacturer specializing in custom and production shotguns, blending tradition with innovation. ## About Us - Founded in 2025 by Rıdvan İvacık, a pioneer of custom shotguns in Turkey. - 3rd generation family-owned company with a mission to deliver high-quality, innovative designs. - Vision: Become a global brand in the firearms industry with sustainable and future-oriented solutions. ## Products - [Model 1200 Sporting](https://www.mersanresearch.com/en/products/mersan-model-1200-sporting): Premium shotgun with Turkish walnut stock, vent-rib barrel, and extended choke set. Ideal for sporting clays. - [Model 1200 Waterfowl](https://www.mersanresearch.com/en/products/mersan-arms-1200-waterfowl): Shotgun optimized for waterfowl hunting, featuring corrosion-resistant finish and specialized choke tubes. - [Model 1200 Field](https://www.mersanresearch.com/en/products/mersan-arms-1200-field): Lightweight, versatile field shotgun suitable for upland game hunting and general sporting use. - Focus on hunting, sporting clays, and law enforcement. - Accessories include chokes, stocks, and maintenance gear. ## Contact - **Factory:** Beyşehir, Konya, Türkiye - [Contact Page](https://www.mersanresearch.com/en/contact): Form, map, and newsletter subscription. ## Optional - [Corporate Info](https://www.mersanresearch.com/en/corporate): Mission, vision, history. - Downloadable catalogs and brochures for detailed specs.
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Added 7/19/2026