You're looking at cubic.dev's AI visibility report. What does AI think your business is?
Scan my website freeAI understands your business well, with gaps that can cost you recommendations.
“cubic provides AI-powered code review and automated code scanning for software development teams, delivered as a web-based service.”
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.
“AI code reviews for complex codebases | Built to make you extraordinarily productive.”
“AI code reviews for complex codebases | Built to make you extraordinarily productive.”
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: AI can't tell whether you fit the person asking, so it leans towards businesses that say it plainly.
What this means: An assistant or agent can't send a customer to a next step it can't find.
What this means: When AI compares options it repeats concrete reasons. Without one, it has nothing to say about you.
Ranked by how many points each costs you. Fixing these 3 alone could take cubic.dev from 83 to about 95.
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.
AI can't identify what makes you different from alternatives.
Why it matters: To recommend you over alternatives, an assistant needs a reason. Generic claims ("quality service", "passionate team") give it nothing to say.
AI can't tell who your customers are.
Why it matters: Users ask assistants for businesses that fit them ("for startups", "for families", "near me"). An unclear audience means fewer matches.
Plus 4 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 code review platform). Full methodology
Your homepage loaded in 263 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.
You block model-training crawlers (GPTBot, ClaudeBot, Google-Extended, Applebot-Extended, CCBot, Meta-ExternalAgent and 1 more). That's a legitimate choice: your content stays out of future training data, and models may know less about you by default. Live answer engines are separate and scored above.
Why it counts: Training opt-outs don't stop AI search, but they reduce what models know about you without browsing.
Your homepage serves 1344 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.
Found a sitemap with 388 URLs at /sitemap.xml.
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 "cubic".
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: "cubic provides AI-powered code review and automated code scanning for software development teams, delivered as a web-based service."
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: "AI Code Review | cubic, #1 on independent benchmarks" (52 characters). Meta description: "AI code review designed to catch bugs in the most complex codebases. #1 on every independent benchmark. Try cubic free." (119 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: "AI code reviews for complex codebases".
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 code review 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 3 offerings: Starter (Free), Team and Pro.
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.
3 of 3 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.
Found a dedicated page: /pricing-plans.
Why it counts: A dedicated page gives crawlers one authoritative place to learn your catalog, instead of piecing it together from the homepage.
AI can't tell who your customers are.
Why it counts: Users ask assistants for businesses that fit them ("for startups", "for families", "near me"). An unclear audience means fewer matches.
Your offerings are marked up as SoftwareApplication and Offer.
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.
Found a pricing page: /pricing-plans.
Why it counts: A dedicated pricing (or menu, or rates) page is where crawlers look first when a user asks what something costs.
1 priced offer found in your structured data.
Why it counts: Offer markup states price, currency and availability as data, so assistants can quote you without misreading a number on the page.
Pricing model stated: "Start your free trial".
Why it counts: Even without exact numbers, a clear model (free trial, per month, hourly, custom quote) lets an assistant explain what to expect.
Found 3 JSON-LD blocks describing: Organization, SoftwareApplication, Offer, FAQPage, Question, Answer and 2 more.
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.
Your Organization markup includes name, url, logo and sameAs.
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.
All JSON-LD blocks parse correctly.
Why it counts: Invalid JSON-LD is silently ignored. You get none of the benefit.
Your markup covers what matters for your category (SoftwareApplication and Offer, FAQPage).
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 ("cubic").
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.
Proof found: "Customer quote: I hit Install, and within minutes cubic was flagging an AWS foot‑gun that even tests missed. (— Alex Chantavy, cofounder an…".
Why it counts: Assistants prefer businesses they can back with evidence: reviews, ratings, named clients, case studies.
Linked profiles: LinkedIn, X and 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.
The people behind the business are mentioned ("Maintainers at Subimage , founded by Alex Chantavy and Kunaal Sikka (YC W25), struggled to provide …").
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 a demo", "Start free" and "Watch demo".
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 can't identify what makes you different from alternatives.
Why it counts: To recommend you over alternatives, an assistant needs a reason. Generic claims ("quality service", "passionate team") give it nothing to say.
Concrete facts found, for example "I've been a dev for 13+ years and I'm still routinely humbled by what cubic catches. We've tried ot…".
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 could answer the common questions a customer would ask.
Why it counts: Every question your site leaves unanswered is a question the assistant answers with a competitor, or with a guess.
The link opens this report. Anyone who opens it can check their own website.
AI gave cubic.dev 83/100 for AI visibility. It thinks we're "cubic provides AI-powered code review and automated code scanning for software development teams, delivered..." What does AI think your business is?
Shows your latest score and scan date, and links to this report.
| 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 | × Blocked |
| Claude-SearchBot Anthropic | Claude search results | ✓ Allowed |
| Claude-User Anthropic | Pages Claude opens for a user | ✓ Allowed |
| ClaudeBot Anthropic | Model training | × Blocked |
| PerplexityBot Perplexity | Perplexity answers | ✓ Allowed |
| Googlebot Google | Google Search and AI Overviews | ✓ Allowed |
| Google-Extended Google | Gemini training and grounding control | × Blocked |
| Bingbot Microsoft | Bing and Copilot answers | ✓ Allowed |
| Applebot-Extended Apple | Apple model training | × Blocked |
| CCBot Common Crawl | Open dataset used by many AI labs | × Blocked |
| Meta-ExternalAgent Meta | Meta AI training | × Blocked |
| Bytespider ByteDance | Model training | × Blocked |
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