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Free AI Readiness Audit — How AI Systems See Your Website

Discover how AI tools like ChatGPT, Perplexity, and Google AI Overviews understand your business. We check 12 factors across llms.txt, structured data, metadata, crawlability, and local clarity — and generate a custom llms.txt you can deploy today.

Need help implementing the fixes? We offer free consultations for Southern Oregon businesses.

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We fetch your public homepage, robots.txt, sitemap.xml, and llms.txt — same as any web crawler. No account required.

What We Check in Your AI Readiness Audit

Our AI readiness audit evaluates 12 factors across six weighted categories. Each check tells you not just whether you pass or fail, but exactly why it matters and how to fix it.

llms.txt presence and content quality
JSON-LD structured data (LocalBusiness, Service, FAQ)
AI bot permissions in robots.txt
XML sitemap presence and accessibility
Page title and meta description clarity
Open Graph metadata completeness
Business name signal detection
Business type and category detection
Service description extraction
Location and address clarity
Phone number visibility
AI comprehension composite score

Why AI Visibility Is the Next Frontier for Local Businesses

Traditional SEO has been the playbook for online visibility for 20 years. But the way people find businesses is shifting. An increasing share of searches now happen through AI assistants — ChatGPT, Perplexity, Claude, and Google's own AI Overviews. When someone asks “who does FORScan programming near me?” or “find me a good web designer in Roseburg, Oregon,” they're no longer scanning a list of blue links. They're getting a direct answer.

For that answer to include your business, AI systems need to be able to read, understand, and accurately describe what you do and where you operate. Most local business websites aren't built for this. Vague taglines, missing schema markup, no llms.txt, and blocked AI crawlers all reduce your chances of appearing in these new AI-driven discovery flows.

For businesses in Southern Oregon — Roseburg, Medford, Grants Pass, Ashland, and surrounding areas — this is still a wide open opportunity. Your competitors almost certainly haven't thought about AI readiness yet. Implementing it now while it's early puts you in front of the curve.

The Six AI Readiness Categories

llms.txt (15%)

The llms.txt file is a new open standard for helping AI systems quickly understand your business. Think of it as your AI-facing business card — your name, what you do, where you're located, your services, and your key links, in a plain-text format that any AI can read in seconds. Sites with a well-structured llms.txt are far easier for AI to describe accurately.

Schema Markup / Structured Data (20%)

JSON-LD structured data is the most powerful signal you can give AI systems and search engines. LocalBusiness schema tells Google and AI tools your exact business category, address, phone number, and service area. Service schema describes each of your offerings in machine-readable detail. FAQPage schema gives AI a ready-to-use set of questions and answers about your business.

Metadata Quality (10%)

Your page title and meta description are the first things AI crawlers read. They need to clearly state what your business does, ideally in the first sentence. Generic titles like 'Home | Company Name' tell AI nothing. Clear, specific titles like 'FORScan Module Programming for Ford Trucks — Southern Oregon' tell AI exactly who you serve and what you do.

Local SEO Clarity (20%)

AI systems trying to answer local queries need to know where you operate. Are your city and state mentioned in your content, your schema, and your metadata? Is your phone number structured in a format AI can recognize? Is your service area explicit? This category checks all of those signals and flags any that are missing.

Crawlability (15%)

AI systems can only learn about your business if they can crawl your site. This category checks your robots.txt for any rules that block known AI crawlers, verifies your sitemap.xml is accessible, and confirms there are no crawl-blocking directives on your key pages. Unintentionally blocking AI bots is a common issue we catch regularly.

AI Understanding (20%)

The highest-weighted category — a composite assessment of how accurately an AI system could describe your business from your public pages alone. We extract business name, type, services, location, contact info, and other signals, then generate the summary an AI would produce. If the summary is vague or wrong, you know exactly what's missing.

Want us to implement all of this for you?

We implement everything in this audit — schema markup, llms.txt, robots.txt cleanup, metadata optimization, and local SEO clarity — for local businesses across Southern Oregon. Most clients see measurable improvements in AI-powered search visibility within 30 days of implementation.

Book a Free AI Readiness Consultation

AI Readiness FAQs

What is an AI Readiness Audit?

An AI Readiness Audit evaluates how understandable, crawlable, and structured your website is for AI systems — including LLMs like ChatGPT and Claude, AI-powered search engines like Perplexity, and Google's AI Overviews. As more people get information through AI tools rather than traditional search, being 'AI-readable' is becoming as important as being 'Google-readable.'

What is llms.txt and why does it matter?

llms.txt is a plain-text file you host at the root of your website (e.g., yourbusiness.com/llms.txt) that gives AI systems a concise, human-readable summary of your business, products, services, and key information. It follows the llms-txt.org open standard. When AI tools crawl your site to answer user questions, an llms.txt file helps them quickly understand who you are, what you do, and where you're located — improving your chances of being cited accurately in AI responses.

How does this audit check if my site is AI-friendly?

We analyze six dimensions: (1) llms.txt presence and quality, (2) structured data / JSON-LD schema markup, (3) page metadata quality, (4) local SEO clarity — is it obvious who you are and where you operate, (5) crawlability — whether AI bots can access your content via robots.txt and a proper sitemap, and (6) overall AI understanding — a composite assessment of how accurately an AI system could describe your business from your public web pages.

How do I know if AI bots can crawl my site?

We parse your robots.txt file for User-agent directives targeting known AI crawlers — GPTBot (OpenAI), ClaudeBot (Anthropic), Google-Extended (Google AI), PerplexityBot, CCBot, OAI-SearchBot, and anthropic-ai. If any of these agents have a Disallow: / rule, we flag it as a warning. Blocking AI bots is a valid choice if you prefer not to be indexed by these systems, but most businesses benefit from being included.

What structured data helps AI systems most?

For most local businesses, LocalBusiness schema is the single highest-impact addition. It explicitly tells AI systems your business name, type, phone number, address, service area, and hours. Beyond that, Service schema for each of your offerings, FAQPage schema for your common questions, and BreadcrumbList schema all help AI systems build an accurate picture of your business. Our audit checks for all of these.

How is AI readiness different from regular SEO?

Traditional SEO focuses on optimizing for keyword-based ranking algorithms. AI readiness focuses on semantic clarity — how accurately an AI can describe your business after reading your pages. Overlaps include schema markup, metadata quality, and crawlability. Key differences include llms.txt (entirely new), AI bot permissions in robots.txt, and whether your content clearly answers the 'who, what, where, and why' questions an AI would ask about your business.

Will this help my business appear in ChatGPT or Google AI Overviews?

There are no guaranteed rankings in AI systems, but improving your AI readiness score does increase your chances. Google AI Overviews pull from indexed web pages and favor sites with clear structured data, good E-E-A-T signals, and local clarity. ChatGPT and Perplexity use web search alongside their training data. A well-structured site with clear business signals is more likely to be cited accurately and frequently across all these platforms.

How often should I run an AI Readiness Audit?

Run one immediately to establish your baseline, then after any significant changes to your site structure, schema markup, or robots.txt. Also re-run it quarterly — the AI landscape is evolving quickly, and audit criteria will be updated as new AI systems and standards emerge. If you add new services or change your service area, update your llms.txt and re-audit to make sure the changes are reflected.

Is llms.txt an official standard?

llms.txt is a community-proposed standard from llms-txt.org, not an official W3C or IETF specification. However, it's gaining adoption among developers and has been recognized by several AI tool vendors. It follows the same pattern as robots.txt and sitemap.xml — simple, well-understood conventions that help machines understand your content. Implementing it now puts you ahead of the curve.

What score should I aim for in the AI Readiness Audit?

A score above 70 indicates good AI readiness — your site has solid structured data, clear business signals, and no major crawlability issues. Scores between 45–70 indicate important gaps that are worth fixing, especially schema markup and llms.txt. Below 45 means AI systems have significant difficulty accurately understanding your business, and you're likely missing out on AI-driven referrals and citations.

Related tools and resources:

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