Independent technical audit

heeb.ai

Overall AI readiness score

A combined result across all audit signals.

Excellent

AI readiness audit: 8/26/2026Public technical data

Overall AI readiness assessment

How ready heeb.ai is for AI systems

77/100

heeb (heeb.ai) received an AI-readiness score of 77/100 in an automated technical audit. llms.txt was accessible, llms-full.txt was not found, and ai.txt was not found. The robots.txt analysis found 0 explicitly allowed and 0 blocked AI crawlers, with 1 declared sitemap. Homepage markup completeness was 50%; no Schema.org types were detected and 5 OpenGraph tags were detected. Results reflect the public site response observed on 2026-08-26T00:14:51.141Z.

Audit context

llms.txt is accessible and contains 643 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: 1. No Schema.org type was detected on the homepage. 5 OpenGraph tags were found and markup completeness is 50%, leaving more entity interpretation to crawlers.

The mobile Lighthouse profile adds Performance 72/100, Accessibility 93/100, Best Practices 96/100, 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
1 sitemap declaration
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 tokens643

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

Accessibility

Best Practices

100

Technical SEO

100

Agentic Browsing

What these results mean

Mobile performance is 72/100, with the largest visible content block appearing in 5.1 s and the browser main thread blocked for 0 ms. Layout shift was 0.002. 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 93/100, Best Practices 96/100, 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.

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.

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.

FCP3.8 s

First content

LCP5.1 s

Main content

CLS0.002

Layout stability

TBT0 ms

Blocking time

SI3.8 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.

8/26/2026Lighthouse 13.4.1Mobile profile

AI readiness checks

Machine-readable files, crawler policy, discovery, and homepage markup.

llms.txt

File found and accessible

https://heeb.ai/llms.txt

llms-full.txt

Full version was not found

ai.txt

ai.txt file was not found

robots.txt

File found

https://heeb.ai/robots.txt

Sitemap in robots.txt1

1 sitemap found

Schema.org (JSON-LD)

Schema.org markup was not found on the homepage

OpenGraph50%

5 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

Sitemaps

Declared discovery routes for crawlers and agents.

https://heeb.ai/sitemap.xml

OpenGraph tags

Social preview metadata found on the homepage.

Markup completeness: 50%

og:typewebsite

og:titleheeb | LLM Mentions API

og:descriptionLLM Mentions API

og:urlhttps://heeb.ai

og:imagehttps://heeb.ai/og.png

# heeb

> AI SEO API allows developers to query and analyze multiple LLMs such as ChatGPT, Claude, and Perplexity with a single prompt. Get structured JSON responses containing mentions, citations, sentiment, and content gap insights, helping product, SEO, and research teams understand AI visibility and optimize for better representation across models.

## Homepage

- [heeb](https://heeb.ai): heeb offers an AI SEO API to track brand mentions, sentiment, and visibility across top LLMs like ChatGPT and Perplexity.

## Blog

- [LLM Mentions API: heeb.ai Quick Walkthrough | heeb](https://heeb.ai/blog/llm-mentions-api-heeb-ai-quick-walkthrough): Learn how to integrate the heeb.ai LLM Mentions API into your workflow for automated brand visibility and sentiment tracking across AI models.

- [Monitoring Brand Mentions Across LLMs | heeb](https://heeb.ai/blog/monitoring-brand-mentions-across-llms): LLMs shape brand discovery; monitor and optimize for AI visibility.

- [Adapting SEO for Generative AI | heeb](https://heeb.ai/blog/adapting-seo-for-generative-ai): AI transforms SEO: 2025 trends, strategies, and case studies for visibility.

- [Guide to llms.txt: What It Is and How It Works | heeb](https://heeb.ai/blog/guide-to-llmstxt-what-it-is-and-how-it-works): LLMs.txt: Markdown standard guiding LLMs to essential website content.

- [AI and Data Analytics: Essential Insights | heeb](https://heeb.ai/blog/ai-and-data-analytics-essential-insights): AI revolutionizes data analytics with insights, trends, and ethical challenges for 2025.

- [Top AI Tools for Marketing Analytics | heeb](https://heeb.ai/blog/top-ai-tools-for-marketing-analytics): AI transforms marketing analytics into predictive, real-time insights for better ROI.

- [Top AI SEO Tools for Efficient Optimization | heeb](https://heeb.ai/blog/top-ai-seo-tools-for-efficient-optimization): AI revolutionizes SEO with automated tools and predictive analytics for future-proof strategies.

- [Introducing heeb: The API for AI SEO and LLM Visibility Data | heeb](https://heeb.ai/blog/introducing-heeb-ai): Discover heeb, the API powering AI visibility and SEO automation.

## Contact

- Website: [https://heeb.ai](https://heeb.ai)
- Email: hello@heeb.ai
- Company: heeb

## Last updated

August 26th, 2026

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Added 8/26/2026