#llmsmap.me

Independent technical audit

glyphsoftware.org

glyphsoftware.org

Overall AI readiness score

A combined result across all audit signals.

69of 100Average
AI readiness audit: 7/21/2026Public technical data

Overall AI readiness assessment

How ready glyphsoftware.org is for AI systems

69/100

Glyph Software LLP was independently audited by llmsmap. glyphsoftware.org currently scores 69/100 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 683 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 was not found, so explicit crawler policy could not be confirmed. No Schema.org type was detected on the homepage. 9 OpenGraph tags were found and markup completeness is 60%, leaving more entity interpretation to crawlers.

The mobile Lighthouse profile adds Performance 89/100, Accessibility 90/100, Best Practices 100/100, SEO 100/100, and experimental Agentic Browsing 67/100. These signals have a limited weight: they complement rather than replace llms.txt, robots.txt, and structured-data checks.

Confirmed strengths

  • Accessible llms.txt

Priority improvements

  1. 1Add llms-full.txt for richer first-party context.
  2. 2Publish robots.txt with explicit search and AI crawler rules.
  3. 3Declare the current sitemap.xml in robots.txt.
  4. 4Add JSON-LD for the organisation, website, and core entities.
llms.txt tokens683
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
89

Performance

90

Accessibility

100

Best Practices

100

Technical SEO

67

Agentic Browsing

What these results mean

Mobile performance is 89/100, with the largest visible content block appearing in 3.5 s and the browser main thread blocked for 40 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 90/100, Best Practices 100/100, and technical SEO 100/100. The experimental Agentic Browsing category scored 67/100. 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

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.

4

Improve interface contrast and readability

Increase contrast for text, states, and interactive controls so both people and visual agents can distinguish content from actions and supporting labels.

FCP0.9 s

First content

LCP3.5 s

Main content

CLS0

Layout stability

TBT40 ms

Blocking time

SI4.1 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://glyphsoftware.org/llms.txt
llms-full.txt

Full version was not found

ai.txt

ai.txt file was not found

robots.txt

robots.txt file was not found

Sitemap in robots.txt

Sitemap is not declared in robots.txt

Schema.org (JSON-LD)

Schema.org markup was not found on the homepage

OpenGraph60%

9 OG tags found

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

OpenGraph tags

Social preview metadata found on the homepage.

Markup completeness: 60%
og:titleGlyph Software LLP
og:descriptionCrafting Scalable Solutions for Modern Needs
og:urlhttps://glyphsoftware.org
og:site_nameGlyph Software LLP
og:localeen_US
og:image:width100
og:image:height100
og:typewebsite

# Glyph Software LLP

> Crafting Scalable Solutions for Modern Needs

We empower engineering and analytics‑driven organisations with user‑first, performance‑optimized software and AI.

## About

- [Why Glyph. Why Now.](https://glyphsoftware.org/#about): Founded in 2025; small team, quality‑first, startup‑focused.
- [What We Build](https://glyphsoftware.org/#about): Internal tools, cloud‑native APIs, AI‑enhanced workflows, data‑driven insights.

## Services

- [Web Development](https://glyphsoftware.org/#services): Custom web apps and e‑commerce.
- [Mobile Development](https://glyphsoftware.org/#services): iOS and Android apps.
- [Software Integration](https://glyphsoftware.org/#services): Seamless workflows across your tools.
- [Cloud Solutions](https://glyphsoftware.org/#services): Migrations and modernization.
- [Data Analytics](https://glyphsoftware.org/#services): Actionable insights for better decisions.
- [Generative AI Solutions](https://glyphsoftware.org/#services): Agentic/Generative AI and intelligent data ecosystems.

## Pricing

- [Basic Plan — $399/month](https://glyphsoftware.org/#pricing): 1–3 members, 2–6 weeks, 2 revisions, basic testing, standard deploy, 20‑day support.
- [Pro Plan — $599/month](https://glyphsoftware.org/#pricing): 4–6 members, 6–10 weeks, 3 revisions, unit+integration tests, CI/CD cloud deploy, 30‑day support.

## Technology Stack

- [Frontend](https://glyphsoftware.org): React 19.1, Next.js 15.4, TypeScript 5, Tailwind CSS 4.1, Radix UI.
- [Backend & Infrastructure](https://glyphsoftware.org): Node.js, Python, PostgreSQL+pgvector, Redis, Docker, Kubernetes, AWS/Azure/GCP.
- [AI/ML Pipeline](https://glyphsoftware.org): Transformers, PyTorch/TensorFlow, LangChain/LlamaIndex, vector DBs, vLLM/Ollama.

## LLMs & Tools

- [Commercial LLMs](https://glyphsoftware.org): GPT‑4o/4‑Turbo, Claude 3.5/3, Gemini Pro/Flash, Cohere Command R+.
- [Open Source LLMs](https://glyphsoftware.org): Llama 3.1, Mixtral/Mistral, Phi‑3, Qwen 2.5, DBRX, Falcon, Gemma 2, StarCoder2, CodeLlama, DeepSeek.
- [Frameworks & Ops](https://glyphsoftware.org): LangChain, LlamaIndex, Haystack, Semantic Kernel, Ray Serve, vLLM, TGI, TensorRT‑LLM, Pinecone, Weaviate, Qdrant, Chroma, Milvus, pgvector, LangSmith, Langfuse, W&B, MLflow, Evidently, TruLens.

## Contact

- [Website](https://glyphsoftware.org)
- [Email](mailto:contact@glyphsoftware.org)
- [GitHub](https://github.com/Glyph-Software)
- [LinkedIn](https://www.linkedin.com/company/glyph-software/)
- [Hugging Face](https://huggingface.co/glyphsoftware)

## Legal

- [Privacy Policy](https://glyphsoftware.org/privacy-policy)
- [Terms of Service](https://glyphsoftware.org/terms-of-service)

---

Last Updated: 2025‑08‑11
Version: 1.1
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Added 7/19/2026
glyphsoftware.org - AI readiness audit | llmsmap.me