Independent technical audit

netguru.com

Overall AI readiness score

A combined result across all audit signals.

Average

AI readiness audit: 7/21/2026Public technical data

Overall AI readiness assessment

How ready netguru.com is for AI systems

67/100

Netguru was independently audited by llmsmap. netguru.com currently scores 67/100 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 1,431 tokens. No accessible llms-full.txt was detected, so deeper context still has to be assembled from regular pages. No separate ai.txt policy was detected; it is optional, but can clarify training, retrieval, and attribution preferences.

robots.txt is available. 11 of 11 tracked AI bots are not blocked. Declared sitemaps: 12. 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 71/100, Accessibility 100/100, Best Practices 100/100, SEO 100/100, 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
12 sitemap declarations
Strong Google agentic signals

Priority improvements

1Add llms-full.txt for richer first-party context.
2Add JSON-LD for the organisation, website, and core entities.
3Complete OpenGraph and canonical homepage metadata.
4Reduce mobile rendering delay and main-thread work.

llms.txt tokens1,431

llms-full.txt tokens—

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.

Mobile · Lighthouse

Performance

100

Accessibility

100

Best Practices

100

Technical SEO

100

Agentic Browsing

What these results mean

Mobile performance is 71/100, with the largest visible content block appearing in 4.1 s and the browser main thread blocked for 310 ms. Layout shift was 0. 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 100/100, Best Practices 100/100, and technical SEO 100/100. 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.

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.

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.

Optimise images and their loading order

Serve correctly sized modern formats, prioritise the primary visual, and lazy-load content below the first viewport.

Reduce network delay

Improve server response time, remove unnecessary redirects and repeat downloads, and use compression, caching, and selective preconnect hints.

FCP3.0 s

First content

LCP4.1 s

Main content

CLS0

Layout stability

TBT310 ms

Blocking time

SI5.1 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.

llms.txt

File found and accessible

https://www.netguru.com/hubfs/llms.txt

llms-full.txt

Full version was not found

ai.txt

ai.txt file was not found

robots.txt

File found

https://netguru.com/robots.txt

Sitemap in robots.txt12

12 sitemaps found

Schema.org (JSON-LD)

Schema.org markup was not found on the homepage

OpenGraph

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.

# Netguru

> Netguru is a digital acceleration partner delivering end-to-end product design, software engineering, and AI solutions. We help enterprises and scale-ups ship reliable software, adopt generative AI, and modernize data and cloud foundations — from strategy to production and continuous improvement.

From strategy sprints and MVPs to platform modernization and AI copilots, Netguru builds systems designed to drive measurable outcomes and future-proof digital capabilities in an era where large language models and generative AI reshape discovery and decision-making.

Our cross-functional teams integrate AI-driven insights with proven product and engineering practices, ensuring every engagement is immediately effective and aligned with long-term visibility and reliability.

## Services

Netguru provides a comprehensive suite of product, engineering, data, and AI services, including:

- **AI Development & GenAI**: foundation model integration, RAG, AI copilots/assistants, evaluation, governance & safety.
- **AI Agent Development**: agentic planning/execution, tools & API orchestration, guardrails, monitoring.
- **Product Design (UX/UI)**: discovery, research & testing, product strategy, design systems, accessibility.
- **Web Development**: modern frontends & backends, microservices, headless architectures, performance & SEO.
- **Commerce Development**: composable commerce architecture (MACH: microservices, API-first, cloud-native, headless), headless storefronts, superapps, autonomous stores, PIM/DAM, CMS, e-commerce engines, marketplaces, search & discovery, payments, promotions, OMS, CDP/DXP integrations, personalization & experimentation, omnichannel enablement.
- **Mobile Development**: native iOS/Android, React Native, Flutter, app modernization & CI/CD.
- **Data Engineering & ML**: pipelines & lakes, MLOps, feature stores, model training & serving.
- **Cloud Strategy & Platforms**: AWS/GCP/Azure architecture, cost optimization, security, observability, platform engineering.
- **MVP & Rapid Prototyping**: clickable prototypes and production-ready MVPs to de-risk and validate ideas.
- **Quality Assurance**: manual & automated testing, performance and security testing.
- **Product Management**: discovery, delivery, roadmaps, experimentation & KPIs.
- **Team Extensions**: dedicated teams, staff augmentation, delivery centers.
- **Software Maintenance**: SRE, reliability, continuous improvements & LTS support.

## Languages supported

English

## Main Navigation Links

- [Home](/): Company overview and featured services
- [Services](/services): Full portfolio across product, engineering, data, and AI
- [Industries](/industries): Finance, Commerce, Healthcare, Education, Proptech, Greentech
- [Clients](/clients): Case studies and outcomes
- [About us](/about-us): How we work, sustainability, careers
- [Insights](/blog): Blog, newsletters, and originals
- [Estimate project](/estimate-project): Start a project scope & estimate

## Technologies

- **Frontend**: React, Next.js, Vue, Angular, TypeScript, Tailwind CSS
- **Backend**: Node.js (NestJS/Express), Python (Django/FastAPI), Ruby on Rails, Java (Spring), .NET, Go
- **Mobile**: Swift (iOS), Kotlin (Android), React Native, Flutter
- **Cloud & DevOps**: AWS, Google Cloud, Microsoft Azure, Docker, Kubernetes, Terraform, GitHub Actions, GitLab CI
- **Data & AI**: Python, TensorFlow, PyTorch, scikit-learn, LangChain, LlamaIndex, vector databases (Pinecone, Weaviate, pgvector), Kafka, dbt, BigQuery, Snowflake
- **Web CMS & Commerce**: Headless CMS (Contentful, Sanity, Strapi), composable commerce
- **Commerce & Retail Tech**: MACH (Microservices, API-first, Cloud-native, Headless), headless storefronts, superapps, autonomous stores, PIM/DAM (e.g., Pimcore, Akeneo), e-commerce engines (e.g., commercetools, Shopify, BigCommerce), CMS & DXP, search & recommendations, payments & wallets, OMS, marketplaces, CDP, experimentation & A/B testing, analytics & observability, omnichannel orchestration.

## Sitemap

https://www.netguru.com/hubfs/sitemaps/sitemap-main.xml
https://www.netguru.com/hubfs/sitemaps/sitemap-index-en.xml
https://www.netguru.com/hubfs/sitemaps/sitemap-en-industries-1.xml
https://www.netguru.com/hubfs/sitemaps/sitemap-en-resources-1.xml
https://www.netguru.com/hubfs/sitemaps/sitemap-en-misc-1.xml
https://www.netguru.com/hubfs/sitemaps/sitemap-en-services-1.xml
https://www.netguru.com/hubfs/sitemaps/sitemap-en-glossary-1.xml
https://www.netguru.com/hubfs/sitemaps/sitemap-en-clients-1.xml
https://www.netguru.com/hubfs/sitemaps/sitemap-en-blog-1.xml

## Contact

- [Estimate project](/estimate-project): Inquiries and consultations
- [Press Office](/about-us/press): Media and press contacts

## Bot Access Policy

Netguru's preferences for AI/LLM access, training, and content usage:

- **User-agent: gptbot**
  Allow-Training: yes
  Allow-Retrieval: yes

- **User-agent: claudebot**
  Allow-Training: yes
  Allow-Retrieval: yes

- **User-agent: google-extended**
  Allow-Training: yes
  Allow-Retrieval: yes

- **User-agent: perplexitybot**
  Allow-Training: yes
  Allow-Retrieval: yes

- **User-agent: neevabot**
  Allow-Training: yes
  Allow-Retrieval: yes

- **User-agent: youbot**
  Allow-Training: yes
  Allow-Retrieval: yes

- **User-agent: ccbot** (Common Crawl)
  Allow-Training: yes
  Allow-Retrieval: yes

- **User-agent: duckduckbot** (DuckDuckGo AI)
  Allow-Training: yes
  Allow-Retrieval: yes

- **User-agent: yandexbot**
  Allow-Training: yes
  Allow-Retrieval: yes

- **User-agent: archive.org\_bot**
  Allow-Training: yes
  Allow-Retrieval: yes

### Default Rule for Unspecified or Future Bots

- **User-agent: \***
  Allow-Training: yes
  Allow-Retrieval: yes

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Added 7/19/2026