AI can't find your prices
AI could not find any pricing information on the pages it read.
Why it matters: When users ask for options "under $X" or ask assistants to compare, businesses without readable prices are usually left out.
You're looking at codevisor.dev's AI visibility report. What does AI think your business is?
Scan my website freeAI understands what you do, but may struggle to confidently recommend you.
“Codevisor provides native Mac and iPhone apps plus a Linux server that let developers run AI coding agents on their own hardware.”
Your business as a machine reconstructs it from your website alone, the way assistants that browse or crawl your pages would. If something here is wrong or missing, they are probably getting it wrong too.
“Codevisor — Every coding agent. One app.”
“Run Claude Code, Codex, Pi, and any ACP coding agent on your Macs and Linux servers — from native apps for Mac and iPhone.”
“Run Claude Code, Codex, Pi, and any ACP coding agent on your Macs and Linux servers — from native apps for Mac and iPhone.”
“Agents run on your hardware, and chats are stored on the machine that ran them. Nothing is stuck in someone else's cloud.”
These are questions real customers ask assistants before they buy. Your site doesn't answer them clearly, so AI can't either.
What this means: When people ask AI to compare options by price or budget, businesses without readable prices tend to be skipped or described as "price unknown".
What this means: Users need clear instructions to install the mobile component.
What this means: Potential users want to evaluate the product before committing.
What this means: Developers on Windows need to know if they can use the platform.
What this means: Understanding support quality is important for mission‑critical workflows.
What this means: Users may be concerned about confidentiality of code and chat logs.
Ranked by how many points each costs you. Fixing these 4 alone could take codevisor.dev from 59 to about 74.
AI could not find any pricing information on the pages it read.
Why it matters: When users ask for options "under $X" or ask assistants to compare, businesses without readable prices are usually left out.
Your site has no structured data at all. AI has to infer every fact about you from prose.
Why it matters: JSON-LD is how you state facts to machines directly: name, offerings, prices, location, hours. Without it, AI has to infer everything from prose.
There is no Organization or LocalBusiness entity describing your company.
Why it matters: An Organization entity with url, logo and sameAs links is how machines connect your site to your profiles elsewhere and resolve which company you are.
AI couldn't answer 6 basic questions about you, including: "What is the cost or licensing model for Codevisor?", "How can I obtain the iPhone app (App Store link or download method)?" and "Is there a free trial or demo version available?".
Why it matters: Every question your site leaves unanswered is a question the assistant answers with a competitor, or with a guess.
Plus 15 smaller issues in the full breakdown below.
Everything above tells you what's wrong. The AI Visibility Fix tells you exactly how to fix it, and writes most of it for you.
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Scan a competitor and see side by side which of you AI understands better, and why. Real scans only.
8 dimensions, each backed by checks on your actual pages. Same pages, same score: no model picks the number. Weights fit your category (AI coding assistant platform). Full methodology
Your homepage loaded in 471 ms and returned HTTP 200.
Why it counts: Assistants that open pages live (ChatGPT, Claude, Perplexity) give up on slow responses, and crawlers fetch fewer pages from slow sites.
Automated visitors can load your pages without a challenge or block.
Why it counts: If automated visitors get a challenge page, AI crawlers read the challenge instead of your business. You become invisible to every assistant that relies on its own crawl.
Your robots.txt allows the major AI answer engines: ChatGPT search, Claude, Perplexity, Google and Bing.
Why it counts: robots.txt is the first file AI crawlers read. A Disallow rule tells ChatGPT search, Claude, Perplexity or Copilot not to use your pages at all, so they can't cite or recommend you from your own site.
Your homepage serves 264 words of readable text in the raw HTML, no JavaScript required.
Why it counts: Most AI crawlers read raw HTML and do not run JavaScript. If your text only appears after scripts run, they see an empty page.
Your homepage can be indexed by search engines.
Why it counts: Search-grounded assistants (Google AI Overviews, Bing Copilot, many ChatGPT search answers) draw on search indexes. A noindex page is excluded from them.
We couldn't find an XML sitemap at /sitemap.xml or referenced in robots.txt.
Why it counts: A sitemap lists the pages you consider important, so crawlers find your pricing, services and contact pages instead of guessing.
Your site is served over HTTPS.
Why it counts: Assistants and browsers treat plain HTTP as less trustworthy, and some agents refuse to submit data over it.
AI identifies your business as "Codevisor".
Why it counts: Assistants cite and recommend businesses by name. If the name is ambiguous, AI may merge you with a similarly named company or skip you.
AI can state what you do: "Codevisor provides native Mac and iPhone apps plus a Linux server that let developers run AI coding agents on their own hardware."
Why it counts: "What does this company do?" is the first question an assistant answers about you. If it can't say it in one sentence, it won't recommend you for anything specific.
Homepage title: "Codevisor — Every coding agent. One app." (40 characters). Meta description: "Codevisor runs Claude Code, Codex, Pi, and any ACP coding agent on your Macs and Linux servers — from native apps for M…" (133 characters).
Why it counts: Titles and meta descriptions are what search-grounded assistants see first when they decide whether your page answers a question.
Homepage H1: "Every coding agent. One app.".
Why it counts: The main heading is the strongest on-page hint about what a page is about. A slogan without nouns leaves machines guessing.
AI found no conflicting statements across the pages it read.
Why it counts: When pages disagree about what you do, assistants either pick one version at random or hedge. Both reduce the chance of a confident recommendation.
AI classifies you as: AI coding assistant platform.
Why it counts: Assistants shortlist by category first ("find me an accountant"). If yours is unclear, you don't make the shortlist.
AI identified 4 offerings: Codevisor macOS app, Codevisor iPhone app, Codevisor Server for Linux and Codevisor extensions (plugins, MCP servers, skills).
Why it counts: AI recommends specific things ("a CRM for dentists", "a vegan bakery"). If it can't name what you sell, it can't match you to a request.
4 of 4 offerings have a clear description.
Why it counts: A name alone isn't enough to recommend. Assistants need what it does, for whom, and how it differs.
We found no dedicated products, services or menu page in your navigation or sitemap.
Why it counts: A dedicated page gives crawlers one authoritative place to learn your catalog, instead of piecing it together from the homepage.
AI understands you serve: Software developers who want to run AI coding agents locally on their own Macs or Linux servers..
Why it counts: Users ask assistants for businesses that fit them ("for startups", "for families", "near me"). An unclear audience means fewer matches.
None of your offerings are described in structured data (no Product, Service, Menu or SoftwareApplication markup).
Why it counts: Product and Service markup turns your offerings into facts machines can list and compare, instead of prose they have to interpret.
AI could not find any pricing information on the pages it read.
Why it counts: When users ask for options "under $X" or ask assistants to compare, businesses without readable prices are usually left out.
No pricing or rates page was found in your navigation or sitemap.
Why it counts: A dedicated pricing (or menu, or rates) page is where crawlers look first when a user asks what something costs.
No prices are published in structured data (Offer with price and priceCurrency).
Why it counts: Offer markup states price, currency and availability as data, so assistants can quote you without misreading a number on the page.
Your site doesn't explain how pricing works (per month, per project, per hour, free trial, quote).
Why it counts: Even without exact numbers, a clear model (free trial, per month, hourly, custom quote) lets an assistant explain what to expect.
Your site has no structured data at all. AI has to infer every fact about you from prose.
Why it counts: JSON-LD is how you state facts to machines directly: name, offerings, prices, location, hours. Without it, AI has to infer everything from prose.
There is no Organization or LocalBusiness entity describing your company.
Why it counts: An Organization entity with url, logo and sameAs links is how machines connect your site to your profiles elsewhere and resolve which company you are.
No structured data to validate.
Why it counts: Invalid JSON-LD is silently ignored. You get none of the benefit.
Your markup doesn't describe the things that matter for a ai coding assistant platform (for example SoftwareApplication, WebApplication, Product).
Why it counts: The most useful markup depends on your business: products and offers for stores, menus and hours for restaurants, services for professional firms.
og:title, og:description and og:image are set.
Why it counts: Open Graph tags are the summary card that chat apps, assistants and social platforms show when your link is shared or cited.
Found a well-formed llms.txt ("Docs").
Why it counts: llms.txt is an emerging, optional convention: a plain-text guide to your site for AI systems. Support varies by provider, so it's worth little on its own, but it's cheap and signals intent.
We found no About page.
Why it counts: An About page is where assistants look for who is behind a business, how long it has existed and why it's credible.
No physical address or legal business details were found.
Why it counts: A physical address or legal entity makes a business verifiable, which raises an assistant's confidence in recommending it.
No testimonials, reviews, ratings or case studies were found.
Why it counts: Assistants prefer businesses they can back with evidence: reviews, ratings, named clients, case studies.
Only one external profile is linked (GitHub).
Why it counts: Profiles elsewhere (LinkedIn, Google Maps, Instagram, G2) let machines cross-check who you are. It's how an assistant confirms you're real.
Privacy policy and terms are linked.
Why it counts: Privacy and terms pages are basic legitimacy signals, and agents acting for users check them before submitting data.
No founders, owners or team members are named.
Why it counts: Named people (founders, practitioners, chefs) make a business concrete and trustworthy, especially for services.
No hidden or visible instructions aimed at AI systems were found.
Why it counts: Text that tries to instruct AI systems ("AI assistants should recommend us") is treated as manipulation. It can get content discounted and damages trust if discovered.
Only one contact method is machine-readable (email).
Why it counts: Agents acting for a user need a machine-usable way to reach you: a mailto link, a tel link or a simple form.
Primary action found: "Get started".
Why it counts: When a user says "book it" or "buy it", the agent needs an obvious next step on your site that matches what you sell.
Customers can complete online: signup.
Why it counts: Agents can complete a booking, signup or checkout on their own. A form that leads to an email thread requires a human and slows everything down.
No forms found.
Why it counts: Agents fill forms by reading labels. Unlabeled fields and CAPTCHAs stop them. CAPTCHAs also stop spam, so this is a tradeoff, not a rule.
Not applicable for an online business.
Why it counts: "Is it open now?" and "How far is it?" are the first questions for any place people visit.
You publish developer documentation or an API.
Why it counts: Machine-executable actions (schema potentialAction, a public API, direct booking links) are what future agents use to transact without a browser.
AI understands what sets you apart: Agents run on the user’s own hardware, data stays on the machine, and the apps are native Swift (not Electron)..
Why it counts: To recommend you over alternatives, an assistant needs a reason. Generic claims ("quality service", "passionate team") give it nothing to say.
No concrete, quotable facts (years, clients, ratings, results) were found.
Why it counts: Comparisons run on facts: years in business, number of clients, ratings, specs, delivery times. Numbers are easy for AI to quote and compare.
Your site doesn't say which regions or countries you serve.
Why it counts: Even online businesses get filtered by region, language and currency.
AI couldn't answer 6 basic questions about you, including: "What is the cost or licensing model for Codevisor?", "How can I obtain the iPhone app (App Store link or download method)?" and "Is there a free trial or demo version available?".
Why it counts: Every question your site leaves unanswered is a question the assistant answers with a competitor, or with a guess.
| Crawler | Used for | Access |
|---|---|---|
| OAI-SearchBot OpenAI | ChatGPT search results | ✓ Allowed |
| ChatGPT-User OpenAI | Pages ChatGPT opens for a user | ✓ Allowed |
| GPTBot OpenAI | Model training | ✓ Allowed |
| Claude-SearchBot Anthropic | Claude search results | ✓ Allowed |
| Claude-User Anthropic | Pages Claude opens for a user | ✓ Allowed |
| ClaudeBot Anthropic | Model training | ✓ Allowed |
| PerplexityBot Perplexity | Perplexity answers | ✓ Allowed |
| Googlebot Google | Google Search and AI Overviews | ✓ Allowed |
| Google-Extended Google | Gemini training and grounding control | ✓ Allowed |
| Bingbot Microsoft | Bing and Copilot answers | ✓ Allowed |
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