You're looking at trymonte.ai'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.
“Monte builds continual learning and post‑training infrastructure for AI agents, embedding with enterprise teams to create specialized, self‑improving agents from their data.”
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.
“Monte”
“Monte is an applied research lab building continual learning and post-training infrastructure for AI agents.”
“Monte helps companies turn general models into specialized agents that continuously learn from organizational knowledge.”
“While foundation models become increasingly capable, they fail to specialize to your work and don't learn from how you use them.”
“It could be mistaken for a consulting firm rather than a SaaS platform.”
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: Customers need to know cost to evaluate feasibility.
What this means: Legal and data residency requirements may affect adoption.
What this means: Enterprise customers handle sensitive proprietary data.
What this means: Timeline impacts project planning.
What this means: Enterprise users need reliability guarantees.
What this means: Integration compatibility is critical for adoption.
Ranked by how many points each costs you. Fixing these 3 alone could take trymonte.ai from 61 to about 72.
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 couldn't answer 6 basic questions about you, including: "What is the pricing model for Monte's platform?", "Which regions or countries does Monte serve?" and "What data security and privacy measures are in place?".
Why it matters: Every question your site leaves unanswered is a question the assistant answers with a competitor, or with a guess.
No pricing or rates page was found in your navigation or sitemap.
Why it matters: A dedicated pricing (or menu, or rates) page is where crawlers look first when a user asks what something costs.
Plus 17 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 continual learning platform). Full methodology
Your homepage loaded in 53 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 510 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 1 URL at /sitemap-index.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 "Monte".
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: "Monte builds continual learning and post‑training infrastructure for AI agents, embedding with enterprise teams to create specialized, self‑improving agents from their data."
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: "Monte" (5 characters). Meta description: "Monte is an applied research lab building continual learning and post-training infrastructure for AI agents. We embed w…" (187 characters). The title doesn't say what you do. The description is outside the 50 to 170 character range.
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: "Monte Specialized Agents Trained on Your Work".
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 continual learning 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 2 offerings: Monte Platform and Contract Review Agent.
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.
2 of 2 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: Enterprise teams that need specialized AI agents built from their own data..
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.
Found 4 JSON-LD blocks describing: Organization, ContactPoint and WebSite.
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 doesn't describe the things that matter for a ai continual learning 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.
No llms.txt found at the root of your site.
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.
Linked profiles: LinkedIn and X.
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.
Missing: privacy policy and terms.
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.
Contact methods found: email and contact form.
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.
The only next step is a generic contact option. For a ai continual learning platform, users expect to sign up, start a trial or book a 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.
Nothing can be completed online: every path ends in a form or a phone call.
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.
Your forms have labeled fields and no CAPTCHA.
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.
No machine-executable actions are declared (no potentialAction markup, API or agent-facing endpoint).
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: Monte focuses on turning generic foundation models into specialized, continuously learning agents that improve from real workflow data..
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 pricing model for Monte's platform?", "Which regions or countries does Monte serve?" and "What data security and privacy measures are in place?".
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 trymonte.ai 61/100 for AI visibility. It thinks we're "Monte builds continual learning and post‑training infrastructure for AI agents, embedding with enterprise t..." 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 | ✓ 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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