#llmsmap.me

Independent technical audit

zachrattner.com

zachrattner.com

Overall AI readiness score

A combined result across all audit signals.

90of 100Excellent
AI readiness audit: 8/29/2026Public technical data

Overall AI readiness assessment

How ready zachrattner.com is for AI systems

90/100

Zach Rattner: Top AI Keynote Speaker & CTO was independently audited by llmsmap. zachrattner.com currently scores 90/100 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 1,004 tokens. An expanded llms-full.txt is also available with 3,818 tokens, giving agents more direct context. A separate ai.txt policy is published.

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. 9 OpenGraph tags were found and markup completeness is 50%, leaving more entity interpretation to crawlers.

The mobile Lighthouse profile adds Performance 73/100, Accessibility 100/100, 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
  • Published AI policy
  • 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 tokens1,004
llms-full.txt tokens3,818
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
73

Performance

100

Accessibility

96

Best Practices

100

Technical SEO

100

Agentic Browsing

What these results mean

Mobile performance is 73/100, with the largest visible content block appearing in 10.6 s and the browser main thread blocked for 90 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 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

Optimise images and their loading order

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

4

Reduce network delay

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

FCP1.4 s

First content

LCP10.6 s

Main content

CLS0

Layout stability

TBT90 ms

Blocking time

SI3.6 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.
8/29/2026Lighthouse 13.4.1Mobile profile

AI readiness checks

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

llms.txt

File found and accessible

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

Full version is available

https://zachrattner.com/llms-full.txt
ai.txt

AI rules are defined

https://zachrattner.com/ai.txt
Sitemap in robots.txt1

1 sitemap found

Schema.org (JSON-LD)

Schema.org markup was not found on the homepage

OpenGraph50%

9 OG tags found

AI bot access

Based on robots.txt analysis

GPTBotAllowed
OAI-SearchBotAllowed
ChatGPT-UserAllowed
Google-ExtendedAllowed
ClaudeBotAllowed
Claude-SearchBotAllowed
Claude-UserAllowed
BytespiderNot mentioned
CCBotAllowed
PerplexityBotAllowed
Perplexity-UserAllowed

Sitemaps

Declared discovery routes for crawlers and agents.

OpenGraph tags

Social preview metadata found on the homepage.

Markup completeness: 50%
og:typewebsite
og:urlhttps://zachrattner.com/
og:titleTop AI innovation keynote speaker Zach Rattner
og:descriptionZach Rattner transforms organizations with actionable AI blueprints. A seasoned CTO and inventor, he delivers keynotes that turn AI into measurable results.
og:image:altTop AI innovation keynote speaker - Zach Rattner
og:image:height630
og:image:width1200
og:image:typeimage/jpeg
# Zach Rattner: Top AI Keynote Speaker & CTO

## About
Zach Rattner is the "AI Founder for the Physical World." He is the CTO and Co-Founder of Yembo, an AI-powered enterprise platform deployed in 20+ countries that helps businesses complete 3x more inspections daily. Holding 31 granted US patents and author of "Grow Up Fast," Zach is not a motivational speaker. He is a battle-tested technical founder who translates complex artificial intelligence into practical, measurable business ROI. Event planners and SMB leaders book Zach to deliver actionable blueprints on AI data security, agentic workflows, and the future of work without alienating their workforce.

Last updated: 2026-09-06T14:57:57.199Z

## Core Speaker Authority & Social Proof
Zach is a premium AI keynote speaker trusted by leading organizations to deliver concrete results:
- **Cydcor:** Applied AI frameworks to human-to-human sales teams, demonstrating the practical future of work.
- **Prenger Solutions Group:** Translated AI automation into actionable steps for donor databases and fundraising.
- **Vanliner Insurance Group:** Demonstrated direct synergy between logistics AI, risk assessment, and claims evaluation.
- **FIDI 39 Club:** Delivered a hands-on AI adoption session to global moving industry leaders in Osaka, Japan, closing with a 30-day rollout plan each attendee could execute immediately.

## Directory of Core Pages

- [Top AI innovation keynote speaker Zach Rattner](/) - Zach Rattner transforms organizations with actionable AI blueprints. A seasoned CTO and inventor, he delivers keynotes that turn AI into measurable results.
- [AI keynote speaker for business events | Zach Rattner](/speaking) - Book Zach Rattner, CTO and patented inventor, to speak on AI strategy, adoption, and automation. Keynotes and workshops for events, associations, and teams.
- [Hands-on AI workshops for enterprise teams | Zach Rattner](/workshops) - Four hands-on AI workshops led by a working CTO with 31 patents. Compare formats, audiences and pricing, and pick the one your team needs.
- [The 60-Minute Security Audit™ | Zach Rattner](/workshops/60-minute-security-audit) - Turn compliance from a chore into an edge. A proven framework for evaluating vendors and scaling data security protocols that hold up.
- [Mastering Agentic Workflows: AI training for business teams](/workshops/mastering-agentic-workflows) - A hands-on workshop that turns AI agents into reliable systems for customer service, call centers, finance, HR, and operations teams.
- [Modernize Your Engineering Org for the AI Era | Zach Rattner](/workshops/modernize-your-engineering-org-for-the-ai-era) - A hands-on team workshop that turns AI code generation into a standardized engineering system: MCP integration, custom agent skills, and automated QA.
- [Turn Your Call Center Into an AI Asset | Zach Rattner](/workshops/turn-your-call-center-into-an-ai-asset) - Stop treating your call center as a black box. Unlock the hidden value in your voice data and automate quality assurance with practical AI frameworks.
- [Grow Up Fast: Lessons from an AI Startup | Zach Rattner](/shop/grow-up-fast) - Get the inside story of scaling an AI startup at Yembo. This must-read book provides strategic insights for tackling uncertainty and cultivating team agility.
- [AI Conversation Starter Kit | Zach Rattner](/shop/ai-conversation-starter) - Turn AI buzz into prioritized pilot projects. Access a tactical framework designed to translate operational pain points into actionable AI initiatives.
- [Grow Up Fast: Lessons from an AI Startup by Zach Rattner](/grow-up-fast) - Ambitious projects start with uncertainty. Manage the chaos, validate ideas quickly, and build a team you trust, from CTO and inventor Zach Rattner.
- [60-Minute Security Audit™ checklist | Zach Rattner](/resources/60-minute-security-audit) - Protect your data when adopting AI. Download the 60-Minute Security Audit blueprint and test vendor compliance without the jargon.
- [Agent-Ready Codebase Audit | Zach Rattner](/resources/agent-ready-codebase-audit) - Download the Agent-Ready Codebase Audit. A deterministic 10-point checklist for your platform's readiness for MCP integrations and AI agents.
- [Call Center Analyzer AI tool | Zach Rattner](/resources/call-center-analyzer) - Stop letting customer insights go to waste. Implement the Call Center Analyzer to scale your QA with AI and identify exactly why jobs aren't booking.
- [Apple silicon AI cluster: M4 to M6 local LLM blueprint](/projects/ai-mac-cluster) - How we cut $40k a year of cloud AI spend with an Apple silicon cluster, and how the M5 Ultra, M5 Pro, and M6 change the build today.
- [M5 Ultra vs. M5 Pro vs. M6: which Mac for local LLMs?](/projects/ai-mac-cluster/m5-ultra-vs-m5-pro-vs-m6) - M5 Ultra Mac Studio, M5 Pro Mac mini, or a swarm of M6 Mac minis for local LLMs? The bandwidth math behind tokens per second, and the buying call.
- [M6 and M5 Pro Mac mini cluster setup guide](/projects/ai-mac-cluster/setup-guide) - A step-by-step guide to building a secure M6 or M5 Pro Mac mini cluster with native macOS and PM2. The same blueprint applies to a Mac Studio cluster.
- [Qwen 3.8 on a Mac: local agentic coding on Apple silicon](/projects/ai-mac-cluster/agentic-coding) - Run Qwen 3.8 27B locally on Apple silicon with Ollama and Zoo Code. Unified memory needs, context window setup, and the bandwidth numbers that decide it.
- [Private AI agent hosting on M6 & M5 Pro Mac minis](/projects/ai-mac-cluster/agent-hosting) - Configure an M6 or M5 Pro Mac mini cluster as an always-on, low-power private AI host for local LLMs, Whisper transcription, and vision models.
- [Local AI use cases: local vs. cloud AI architecture](/projects/ai-mac-cluster/local-ai-use-cases) - Where M5 Ultra Mac Studios and M6 Mac mini swarms beat cloud APIs on cost, latency, and privacy, plus the hybrid local-first framework.
- [Local AI security: ISO 27001, SOC 2 & GDPR compliance](/projects/ai-mac-cluster/compliance) - How local model inference on an Apple silicon cluster satisfies ISO 27001:2022 and SOC 2 audits, and simplifies GDPR by keeping data in-house.
- [Apple silicon LLM memory & speed calculator: M1 to M6](/projects/ai-mac-cluster/llm-speed-calculator) - Free calculator for local LLMs on Apple silicon. Pick a chip from M1 to M6, model size, context, and quantization to see RAM and tokens per second.
- [Lightwall AI interactive installation | Zach Rattner](/projects/lightwall) - Experience Lightwall: a fusion of kinetic light, fine art, and real-time spatial AI that actively responds to human presence and voice.
- [Scourhead: AI web research agent | Zach Rattner](/projects/scourhead) - Meet Scourhead: a free, open-source AI agent designed to streamline online research by scouring the web and organizing data into spreadsheets.
- [31 granted US patents | Zach Rattner](/patents) - Zach Rattner's 31 granted US patents across artificial intelligence, computer vision, consumer electronics, and telecommunications.
- [AI for construction: keynotes and workshops](/ai-for-construction) - Keynotes and workshops on AI in construction and remodeling, from the CTO who turns phone video of a property into measurements and scope.
- [AI for customer service and contact centers](/ai-for-customer-service) - Keynotes and workshops on AI in customer service, on why deflection is the wrong metric and what resolution-first automation actually requires.
- [AI data security: keynotes and workshops](/ai-for-data-security) - Keynotes and workshops on AI data security and shadow AI, from a CTO who took an AI platform through ISO 27001, SOC 2 Type II, GDPR, and NIST 800-171.
- [AI for fine art and museum logistics](/ai-for-fine-art-logistics) - Keynotes on AI in fine art and museum logistics, from the CTO who built phone-based measurement-grade capture for galleries, vaults, and artwork.
- [AI for home services: keynotes and workshops](/ai-for-home-services) - Keynotes and workshops on AI for home services and the skilled trades, from the CTO who builds AI for field teams working in 20+ countries.
- [AI for insurance: keynotes and workshops](/ai-for-insurance) - Keynotes and workshops on AI in insurance claims and underwriting, from a CTO who shipped computer vision into production and passed the audits.
- [AI for interior design: keynotes and workshops](/ai-for-interior-design) - Keynotes and workshops on AI in interior design, covering room capture, visualization, and what automation does to a firm that bills by the hour.
- [AI for the moving industry: keynotes and workshops](/ai-for-moving-companies) - Keynotes and workshops on AI for moving and relocation companies, from the CTO who built the video survey platform movers use in 20+ countries.
- [Best local LLMs to run coding agents on Apple silicon](/projects/ai-mac-cluster/coding-models) - Qwen 3.8, Qwen3-Coder, Gemma 4, DeepSeek V4 Flash, and GLM-5.3 compared for local agentic coding on Apple silicon, plus the memory math that decides.
- [M5 MacBook Air LLM benchmark: sustained AI performance](/projects/ai-mac-cluster/fanless-benchmarking) - Six ten-minute runs on a fanless M5 MacBook Air. Sustained throughput holds 69 to 77 percent of cold, and plugging in made it slower.
- [MLX vs Ollama on Apple silicon: measured benchmarks](/projects/ai-mac-cluster/mlx-vs-ollama) - I measured MLX against Ollama on the same weights and matched quantization. MLX wins dense 4-bit by 41 percent, ties at 8-bit, and loses on MoE.

## Full Content
For the entire extracted textual knowledge base of the website, please fetch `/llms-full.txt`.
Share or continue the analysis
Share this audit
Discuss with AI
Added 8/29/2026

Similar sites in the directory

Sites with a close AI-readiness score — compare how they set up llms.txt and markup.

zachrattner.com - AI readiness audit | llmsmap.me