You're looking at agentin.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 or transact with your business.
“Agentin AI trains foundational AI models and conducts research.”
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.
“Agentin AI”
“We are training foundational models and conducting research.”
“AI SaaS product”
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: Assistants recommend specific products and services. One they can't name, they can't recommend.
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: "Near me" and "in [city]" questions are how many local recommendations start. Without a clear location you can be left out.
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.
What this means: Customers need to know cost to evaluate feasibility.
Ranked by how many points each costs you. Fixing these 5 alone could take agentin.ai from 28 to about 47.
AI could not identify any specific product or service you sell.
Why it matters: 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.
No email link, phone link or contact form was found.
Why it matters: Agents acting for a user need a machine-usable way to reach you: a mailto link, a tel link or a simple form.
We found no clear call to action (book a call or request a quote).
Why it matters: When a user says "book it" or "buy it", the agent needs an obvious next step on your site that matches what you sell.
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.
Plus 26 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 research and model training). Full methodology
Your homepage loaded in 122 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 has only 10 words of readable text. There is very little for an AI to understand.
Why it counts: AI builds its picture of you from text. A short homepage leaves most questions to guesswork.
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.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 "Agentin AI".
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: "Agentin AI trains foundational AI models and conducts research."
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: "Agentin AI" (10 characters). Meta description: "We are training foundational models and conducting research." (60 characters). The title doesn't say what you do.
Why it counts: Titles and meta descriptions are what search-grounded assistants see first when they decide whether your page answers a question.
Your homepage H1 is "Agentin AI", which doesn't say what you do.
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 leans towards "AI research and model training" but isn't confident.
Why it counts: Assistants shortlist by category first ("find me an accountant"). If yours is unclear, you don't make the shortlist.
AI could not identify any specific product or service you sell.
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.
There are no identifiable offerings to describe.
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 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.
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: For professional services, publishing a starting price or explaining your pricing model lets assistants include you when users filter by budget.
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.
Not expected for your category.
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 research and model training (for example Service, ProfessionalService, LegalService).
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.
Missing Open Graph tags: og:image.
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.
No external profiles (LinkedIn, Google Maps, Instagram, review sites) are linked.
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.
No email link, phone link or contact form was found.
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.
We found no clear call to action (book a call or request a quote).
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.
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.
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 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.
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.
AI can't tell where you operate.
Why it counts: Location is one of the first filters an assistant applies. If it can't tell where you operate, it won't suggest you.
AI couldn't answer 6 basic questions about you, including: "What is the pricing model for accessing the trained models?", "Who are the intended users or customers of the models?" and "How can interested parties access or purchase the models?".
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 agentin.ai 28/100 for AI visibility. It thinks we're "Agentin AI trains foundational AI models and conducts research." 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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