#llmsmap.me

Independent technical audit

docs.frigade.com

docs.frigade.com

Overall AI readiness score

A combined result across all audit signals.

75of 100Excellent
AI readiness audit: 10/4/2026Public technical data

Overall AI readiness assessment

How ready docs.frigade.com is for AI systems

75/100

Frigade (docs.frigade.com) received an AI-readiness score of 75/100 in an automated technical audit. llms.txt was accessible, llms-full.txt was accessible, 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 0%; no Schema.org types were detected and 0 OpenGraph tags were detected. Results reflect the public site response observed on 2026-10-03T04:04:47.921Z.

Audit context

llms.txt is accessible and contains 1,253 tokens. An expanded llms-full.txt is also available with 1,253 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. 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 66/100, Accessibility 96/100, 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
  • Expanded llms-full.txt
  • 1 sitemap declaration
  • Strong Google agentic signals

Priority improvements

  1. 1Add JSON-LD for the organisation, website, and core entities.
  2. 2Complete OpenGraph and canonical homepage metadata.
  3. 3Reduce mobile rendering delay and main-thread work.
llms.txt tokens1,253
llms-full.txt tokens1,253
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
66

Performance

96

Accessibility

96

Best Practices

100

Technical SEO

100

Agentic Browsing

What these results mean

Mobile performance is 66/100, with the largest visible content block appearing in 7.7 s and the browser main thread blocked for 250 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 96/100, 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.

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

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.

FCP2.6 s

First content

LCP7.7 s

Main content

CLS0

Layout stability

TBT250 ms

Blocking time

SI3.3 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.
10/4/2026Lighthouse 13.5.0Mobile profile

AI readiness checks

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

llms.txt

File found and accessible

https://engage-docs.frigade.com/llms.txt
llms-full.txt

Full version is available

https://engage-docs.frigade.com/llms-full.txt
ai.txt

ai.txt file was not found

Sitemap in robots.txt1

1 sitemap 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.

# Frigade

> Frigade is an AI agent that learns your product by actually using it, then guides your users through real workflows inside your app. Unlike tools that rely on help docs or pre-built flows, Frigade autonomously navigates your product to understand how features connect, where users get stuck, and how to walk them through tasks step-by-step. It handles onboarding, in-app support, feature adoption, and user research in one platform.

Frigade is used by product, growth, and support teams at B2B SaaS companies including Productboard, Merge, Arc, Sanity, Valley, Orb, and 200+ other product-led organizations. It is SOC 2 Type II and GDPR compliant.

## How It Works

Frigade deploys as a lightweight snippet in your application. Once installed, the AI agent uses your product like a real user to learn how it works. There are no workflows to configure, no decision trees to build, and no documentation to write. The agent stays current as your product changes, so guidance never goes stale.

Key capabilities:
- Guides users through multi-step tasks inside the product UI
- Takes actions on behalf of users (form fills, navigation, feature activation)
- Detects where users get stuck and proactively offers help
- Hands off to human support when needed
- Provides insights on user behavior and friction points
- Supports theming and full white-label customization

Setup takes minutes, not weeks. Frigade installs like adding a user to your product.

## Use Cases

- **Onboarding and activation**: Personalized onboarding journeys from day one. Accelerate time-to-value with guided flows tailored to each user.
- **Customer support**: Resolve common support questions with step-by-step guidance inside the product. Reduce ticket volume without scaling headcount.
- **Feature adoption**: Surface underused features at the right moment with contextual nudges and walkthroughs.
- **Product marketing**: Deliver in-app announcements, banners, and promotions without code changes.
- **User research**: Collect feedback through in-app surveys and forms integrated into natural workflows.
- **Revenue expansion**: Convert free users to paid with targeted in-app messaging and trial-to-paid flows.

## Pricing

- **Free**: Live demo access, no setup required
- **Growth**: Starting at $1,000/mo. Includes 5 seats, 2 agents, 2,500 queries with volume discounts.
- **Enterprise**: Custom pricing. Unlimited agents, SSO, EU data residency, self-hosting, custom DPA, and dedicated support.

## Integrations

Frigade connects to the tools your team already uses:
- **Analytics**: PostHog, Amplitude, Segment, Mixpanel, Heap, Rudderstack, Google Analytics
- **CRM and help desk**: HubSpot, Salesforce, Intercom, Zendesk, Pylon, Freshdesk, Front, Help Scout
- **Communication**: Slack, Microsoft Teams, Discord
- **Developer docs**: Mintlify, ReadMe, GitBook, Notion
- **Custom**: REST API, JavaScript SDK, React SDK, Mobile SDK (Enterprise), webhooks

## Security and Compliance

SOC 2 Type II certified. GDPR compliant. Enterprise plans include SAML 2.0 SSO, EU data residency, self-hosting options, and custom data processing agreements. 99.9% uptime guarantee.

## Frigade vs. Frigade Engage

Frigade and Frigade Engage are two separate products built by the same team. Frigade is an AI agent that autonomously learns your product and guides users through real workflows with no manual configuration. Frigade Engage is a developer-first adoption platform with drop-in React UI components for building onboarding flows, tours, checklists, and surveys. Engage gives engineering teams full control over the implementation. Frigade AI requires no workflow building at all. Companies choose one or both depending on whether they want code-level control (Engage) or autonomous AI guidance (Frigade). Learn more about Frigade Engage at https://frigade.com/engage.

This domain (docs.frigade.com) is the developer documentation for Frigade Engage (NOT the Frigade AI product)

## Company

Frigade was founded by Eric Brownrout and Christian Mathiesen and is based in San Francisco. The company is backed by Y Combinator, Craft Ventures, General Catalyst, Defy.vc, and Magic Fund, with angel investors including Guillermo Rauch (Vercel), Arash Ferdowsi (Dropbox), and Jean-Denis Greze (Plaid).

## Pages

- [Homepage](https://frigade.com): Product overview, core value proposition, and customer testimonials
- [How It Works](https://frigade.com/how-it-works): Technical explanation of Frigade's autonomous learning approach
- [Pricing](https://frigade.com/pricing): Plan comparison with feature matrix
- [About](https://frigade.com/about): Team, investors, and company mission
- [Product Updates](https://frigade.com/updates): Latest features and improvements
- [Valley Case Study](https://frigade.com/case-studies/valley): How Valley reduced support tickets 35% and reached time-to-value 3x faster

## Optional

- [Product Updates](https://frigade.com/updates): Latest features, integrations, and product improvements
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Added 9/28/2026
docs.frigade.com - AI readiness audit | llmsmap.me