Independent technical audit

lektra.com

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 lektra.com is for AI systems

93/100

Lektra was independently audited by llmsmap. lektra.com currently scores 93/100 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 535 tokens. An expanded llms-full.txt is also available with 785 tokens, giving agents more direct context. 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: 1. The homepage exposes Schema.org types Organization, WebSite, FAQPage; 9 OpenGraph tags were found and markup completeness is 100%.

The mobile Lighthouse profile adds Performance 91/100, Accessibility 90/100, Best Practices 92/100, 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
Expanded llms-full.txt
1 sitemap declaration
Schema.org: Organization, WebSite
Complete social metadata

Priority improvements

1Keep machine-readable files and markup aligned with future site changes.

llms.txt tokens535

llms-full.txt tokens785

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

Accessibility

Best Practices

100

Technical SEO

Agentic Browsing

What these results mean

The mobile page renders efficiently; its largest visible content block appeared in 3.2 s.

Accessibility scored 90/100, Best Practices 92/100, 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.

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.

FCP0.8 s

First content

LCP3.2 s

Main content

CLS0

Layout stability

TBT90 ms

Blocking time

SI3.4 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://lektra.com/llms.txt

llms-full.txt

Full version is available

https://lektra.com/llms-full.txt

ai.txt

ai.txt file was not found

robots.txt

File found

https://lektra.com/robots.txt

Sitemap in robots.txt1

1 sitemap found

Schema.org (JSON-LD)

Types: Organization, WebSite, FAQPage

OpenGraph100%

9 OG tags found

AI bot access

Based on robots.txt analysis

GPTBotAllowed

OAI-SearchBotAllowed

ChatGPT-UserAllowed

Google-ExtendedAllowed

ClaudeBotAllowed

Claude-SearchBotNot mentioned

Claude-UserNot mentioned

BytespiderNot mentioned

CCBotNot mentioned

PerplexityBotAllowed

Perplexity-UserNot mentioned

Sitemaps

Declared discovery routes for crawlers and agents.

https://lektra.com/sitemap.xml

OpenGraph tags

Social preview metadata found on the homepage.

Markup completeness: 100%

og:titleLektra - Powering Intelligence

og:descriptionSolar-powered GPU cloud compute. NVIDIA H200 and RTX PRO 6000 instances at a fraction of the cost. No egress fees, no lock-in.

og:urlhttps://lektra.com/

og:site_nameLektra

og:imagehttps://lektra.com/images/home/Image-block.webp

og:image:width899

og:image:height827

og:image:altLektra - Solar-powered GPU cloud infrastructure

og:typewebsite

Schema.org markup

Structured entities and properties exposed on the homepage.

Types found: 3 · Properties: 7

OrganizationWebSiteFAQPage

nameLektra

urlhttps://lektra.com

descriptionLektra transforms solar sites into edge AI cloud infrastructure, delivering affordable, grid-independent GPU compute powered by renewable energy.

logohttps://lektra.com/icon.svg

sameAshttps://www.linkedin.com/company/lektracloud/, https://x.com/lektracloud, https://www.facebook.com/profile.php?id=61563732235044

contactPoint{"@type":"ContactPoint","telephone":"+1-212-796-0919","contactType":"sales","availableLanguage":"English"}

publisherhttps://lektra.com

# Lektra

> Lektra transforms distributed solar energy into decentralized AI computing power, enabling sustainable, low-cost GPU rentals at the edge. Formerly Ava Energy, the company leverages patented technology to connect renewable energy with high-performance compute.

## Overview

Lektra operates a distributed cloud infrastructure powered by solar energy from homes and businesses. By converting excess renewable energy into AI compute, Lektra reduces costs, carbon footprint, and grid strain while sharing profits with energy producers.

## Key Features

- Solar-powered edge computing nodes
- Patented Energy Operating System (EOS) for distributed compute
- Built-in resilience: runs during blackouts with battery + grid fallback
- Open, transparent pricing — no hidden fees, no egress charges, no vendor lock-in
- Lumis™ smart energy management for residential and commercial use

## Usage

Lektra Cloud is designed for AI developers, researchers, and startups needing affordable, sustainable GPU power. Users can rent GPUs by the second, with no long-term commitments.

Residential and commercial solar owners can join the Lektra network as Energy Hosts, monetizing excess solar capacity by powering AI workloads and earning up to 100× more than standard grid sellback rates.

## Contact

- Email: contact@lektra.com
- Website: [https://lektra.com/contact/](https://lektra.com/contact/)
- LinkedIn: [linkedin.com/company/lektracloud](https://www.linkedin.com/company/lektracloud/)
- X: [x.com/lektracloud](https://x.com/lektracloud)

## Pages

- [About Lektra & Technology](https://lektra.com/about/)
- [News & Press](https://lektra.com/news/)
- [Patent: Distributed Compute from Renewable Energy](https://lektra.com/news/lektra-third-patent-distributed-compute/)

## Optional

- [Full context](https://lektra.com/llms-full.txt)

## Markdown Versions (text/markdown)

- [Homepage](https://lektra.com/index.md)
- [About](https://lektra.com/about/index.md)
- [Contact](https://lektra.com/contact/index.md)
- [How Your Server Earns](https://lektra.com/earn-with-your-solar-guide/index.md)
- [News](https://lektra.com/news/index.md)

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Added 7/19/2026