AI visibility for indie SaaS: get your product named when buyers ask AI

Short answer: most small SaaS sites lose AI visibility on a handful of fixable things: a robots.txt that blocks AI search crawlers, no profile links in schema, pricing hidden behind a sign-up, no pages per use case, and no proof with numbers. SearchBind checks all of them in a free 61-check scan and writes the fixes in a one-time Website report.

A buyer who asks an AI assistant for a tool rarely clicks ten blue links. They read the short list in the answer and visit one or two sites. AI engines build that list from pages they can fetch, from brands they can identify, and from pages that match the exact question. A product with a great landing page can still be invisible if the page answers none of those questions in text.

Indie SaaS founders usually have the opposite problem from big brands. The product is good and the site is fast, but the site was written for people who already know the product. It says "the smarter way to work" and leaves the AI engine to guess what category you are in, who you serve and what it costs.

The issues we look for first

These are the public checks that matter most for a software product, in the order we would fix them. Each one is a line in your report with the fix written for your site.

• A1
  A3AI search crawlers are blocked. A "block AI bots" rule added in 2023, or a copied robots.txt, often blocks OAI-SearchBot or Claude-SearchBot along with the training crawlers. Blocking the search crawlers removes you from those answers. Training crawlers are a separate choice (A6).
• B1
  B2No Organization schema, or no profile links in it. AI engines confirm a brand through other sites. Organization JSON-LD with sameAs links to the profiles you really run (X, LinkedIn, GitHub, Product Hunt, G2) tells them the product on your site is the one people talk about elsewhere.
• D3Pricing is hidden. "Contact us" or a price shown only after sign-up means the engine cannot answer "how much does it cost". Publish a pricing page in plain HTML, ideally with Offer schema for each plan.
• D4No page per use case or segment. Buyers ask "best invoicing tool for freelance designers", not "best invoicing tool". One page for each of your top three segments gives the engine a page that fits the question.
• C7
  C9Docs, changelog and blog posts have no date and no author. Freshness and a named person behind an article both count. Add a visible "last updated" date, dateModified in schema, and a byline with Person schema on articles.
• D6No proof with numbers. A case study that says "cut reporting time from 3 hours to 20 minutes" is quotable. "Customers love us" is not. Ask one customer for real numbers and permission, and publish them.

Codes match the public 61-point GEO checklist. The free scan also runs the 10 high-impact checks that are explained only in paid reports.

Example fix

Most SaaS sites can fix B1 and D3 in one block. This SoftwareApplication JSON-LD describes the product and its plans with real prices. Put it on the home page or the pricing page, and use your own name, category and plan prices.

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "SoftwareApplication",
  "name": "Example App",
  "url": "https://example.com/",
  "description": "Example App is invoicing software for freelance designers.",
  "applicationCategory": "BusinessApplication",
  "operatingSystem": "Web",
  "offers": [
    {
      "@type": "Offer",
      "name": "Starter",
      "price": "9.00",
      "priceCurrency": "USD",
      "url": "https://example.com/pricing/"
    },
    {
      "@type": "Offer",
      "name": "Pro",
      "price": "29.00",
      "priceCurrency": "USD",
      "url": "https://example.com/pricing/"
    }
  ]
}
</script>

The prices in the schema must match the prices on the page. If they disagree, parsers trust neither. For monthly plans, say "per month" next to the price in the visible text so the answer can quote it correctly.

What the Website report gives you

• Every issue on your site, all 61 checks, with the reason and a priority, in plain English.
• Ready-to-paste fixes: robots.txt, llms.txt and JSON-LD written for your pages, including SoftwareApplication and Offer markup with your real plans.
• 4 to 6 content drafts for the pages your buyers ask about, for example a use-case page for your main segment or a pricing FAQ. You edit them; nothing is published for you.
• A one-time AI visibility check: 10 questions your buyers ask, run once with LLM web search, showing whether you appear and who is named instead.
• Delivered within 24 hours as a private report page plus an email. $59 one-time, no subscription.

Rather not touch the code? We can help: contact us for details.