ai-visibility.best
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About ai-visibility.best and Founder Arya Swift

Learn why Arya Swift built ai-visibility.best and how the product helps SaaS teams measure AI mentions, competitor recommendations, and source gaps.

Jul 10, 20265 sectionsArya Swift

What is ai-visibility.best?

ai-visibility.best is an AI visibility tool for SaaS teams. It runs buyer-intent prompts across AI answer engines, records whether a product is recommended, shows which competitors appear instead, and turns the evidence into a prioritized fix and retest workflow.

The product is built for founder-led and growing B2B SaaS teams that already understand SEO, content, positioning, and competitor research but cannot see the buyers who ask AI for a shortlist and never reach a traditional search result.

Run a free AI visibility check or view a complete sample report.

Why the product exists

Traditional analytics can show impressions, clicks, visits, trials, and conversions. They cannot clearly show the buyer who asked ChatGPT, Perplexity, or Gemini for a recommendation, received a list of competitors, and stopped before visiting your website.

ai-visibility.best was created to make that missing discovery layer inspectable. Every important result is designed to trace back to a buyer prompt, platform, timestamp, answer evidence, detected brands, likely source gaps, and a concrete next action.

The product does not promise guaranteed AI recommendations. AI answers are nondeterministic, platform behavior changes, and one scan is not a stable ranking. The useful workflow is to save a prompt set, inspect the evidence, improve one source or positioning gap, and retest the same questions.

Who is Arya Swift?

Arya Swift is the founder of ai-visibility.best. The product started after observing that a small SaaS with real customers and page-one Google rankings could still disappear from AI-generated recommendation answers.

Arya is building the product in public and documenting the measurement rules, limitations, pricing, and research behind it. The goal is to give smaller SaaS teams an evidence-first alternative to opaque scores, manual spreadsheets, and enterprise platforms that are difficult to justify before the channel is proven.

Follow the build on X and GitHub, or contact support@ai-visibility.best.

How we work

The product follows four operating principles:

  1. Evidence before scores. A metric should link back to the prompt and answer behind it.
  2. Recommendations are different from mentions. Knowing a brand is not the same as shortlisting it.
  3. Platform disagreement stays visible. ChatGPT, Perplexity, and Gemini should not be hidden behind one unexplained blended number.
  4. Measurement should lead to action. A report should identify the page, source, FAQ, schema, comparison, or positioning change worth testing next.

Read the full AI visibility methodology and the SaaS AI Visibility Benchmark.

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