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Focus

AI visibility for B2B SaaS

Software buyers ask AI assistants for a shortlist before they visit a vendor's site. We measure whether you're on it, and engineer for it.

In short

AI visibility for B2B SaaS is whether AI assistants name your product, describe it correctly and describe it well when a buyer asks about your category. Our focus is B2B SaaS. We measure how assistants answer real software-buying prompts, trace each answer to the sources behind it, and engineer the fixes most likely to change it.

The three questions

Every AI answer about your product is checked against the same three questions, in this order.

  1. Named

    Does the AI mention the brand at all?

    Example: a buyer asks for the best software in your category for their use case. The answer lists other vendors and leaves you out.

  2. Accurate

    Is what it says correct (pricing, features, integrations)?

    Example: the answer names you, but quotes a plan you retired, or says you lack an integration you shipped.

  3. Favourable

    Is the description positive, neutral or negative?

    Example: the answer names you and gets the facts right, then calls you the harder option to set up, based on an old review.

Three kinds of buyer prompt

We build every SaaS prompt set around three kinds of buyer question.

  • "best {category} software for {use case}" Discovery. The buyer has a problem and no shortlist yet. Being named here is how you get on one.
  • "alternatives to {competitor}" Switching. The buyer knows a competitor and is looking around. Either you come up, or you don't.
  • "{brand} vs {competitor}" Comparison. The buyer is down to two. What matters now is whether the facts and the tone are right.
IllustrationQuery (example)"Your Brand vs Brand B"Gemini

Both suit small teams. Your Brand is the easier of the two to set up and has the stronger reporting [1]. Brand B has more integrations. Your Brand has no free plan and starts at a higher price [2].

NamedPartly accuratePositive
  • [1]review site
  • [2]your-site.com/pricing

In this illustration the brand is named and described well, but the price is wrong, and the cited source is the brand's own pricing page. That makes it a fix you control.

What we measure

  1. Named, accurate, favourable

    The three questions above, for every prompt, on every run.

  2. Sources cited

    Which pages each answer draws on: yours, a competitor's, a review site or a community thread.

  3. Brand facts

    Whether your pricing, features and integrations are stated the same way on your site, your docs and the listings engines read.

  4. AI crawler access

    Whether AI crawlers can reach your pages, and whether your content is in the HTML.

  5. AI referral baseline

    Sessions arriving from AI assistants, and the signups or demo requests they produce, taken from your own analytics.

The measurement is the AI Visibility Audit. The work that follows is AI Search Visibility andTechnical & Content SEO.

Questions

About B2B SaaS work

Do you only work with B2B SaaS companies?
No. B2B SaaS is our focus, so our prompt sets, examples and checks are built around how software gets bought. The same method applies to other considered purchases.
Our product is early. Is it too soon?
If your product is live and has a public site, there's something to measure. If it isn't live yet, wait. There's nothing for engines to read.
What access do you need?
Read-only access to Google Search Console and your analytics. The prompt runs need no access at all. We don't need admin rights or CMS logins for an audit.
How soon will the answers change?
We don't promise dates. Corrected facts can be picked up within weeks; earning recommendations takes longer. Re-running the same prompts shows you the trend.
Next step

Find out what AI says about you.

Book a short call. We'll agree whether this is the right starting point before anything is scoped or priced.

Book a callSee what an audit measures