Free AI visibility preview for funded SaaS teams
No signup. One homepage crawl, one live buyer prompt — see where you stand in under a minute.
Scaling past this stage means winning buyers who’ve never heard of you. Increasingly, they ask ChatGPT and Perplexity before they ever Google you. If AI isn’t recommending you, it’s recommending a competitor. See where you show up, where you’re losing the recommendation, and what to fix to earn it.
Built for Series A–C SaaS teams who’ve found product-market fit and are now under pressure to build repeatable, scalable pipeline.
Create a comparison page with pricing proof, customer evidence, FAQs, and Product schema for the buyer question where competing sources are already cited.
AI visibility workflow example
Aparok connects where attributable AI traffic originates, which stage of the buyer journey it reaches, and the evidence-backed action your team should prioritize next.
Next best action
Prove the next channel
Post-raise, every channel has to earn its keep. See whether AI assistants already send buyers your way, and turn that into a metric worth reporting.
Beat them before the demo
You've already beaten them in the room. See whether ChatGPT or Perplexity is quietly sending your next buyer to them first — and fix it before it costs you the deal.
Move fast with a lean team
No time to manually test prompts across five AI platforms. Aparok runs the watchlist, tracks citations, and ranks the fixes so you know exactly what to ship next.
Built for post-raise SaaS teams
Use Aparok when you know AI search matters but don’t have time to manually test prompts, track citations, and watch competitors across every AI platform.
Prompt coverage
Track category, comparison, alternative, and trust prompts so you know exactly where your brand is missing or a competitor is winning the recommendation.
The report you can bring to your team or board
Aparok connects prompt, citation, competitor, landing-page, crawl, and traffic evidence for you. Each gap becomes a ranked action with the reason, funnel stage, winning source, expected impact, and confidence — ready to act on or report up.
How it works
Add your site. Aparok reads the page context, identifies your likely category and use cases, gathers the evidence, and turns it into a ranked plan you can act on.
Aparok reads your landing page to identify category, audience, and use cases—no signup needed for the first preview.
Monitor ChatGPT and Perplexity prompt results while attributing visits from ChatGPT, Perplexity, Gemini, Claude, and Copilot as a workspace for your domain.
See what is wrong, why it matters, which funnel stage it affects, who is winning, and the exact fix—ready to ship or report up to your team.
FAQ for startups
Common questions from Series A, B, and C SaaS teams evaluating Aparok.
Post-raise, you're expected to build repeatable, efficient pipeline. Buyers increasingly ask ChatGPT and Perplexity before they ever search Google or land on your site. If a competitor is the one being recommended, that's demand you're losing before your funnel even starts.
Aparok isn't a replacement for your traffic analytics. It's the layer GA4 and Mixpanel can't see: whether AI assistants mention, cite, or recommend your brand when buyers ask comparison and shortlist questions, plus AI-attributed traffic once you install the snippet.
Manually testing a handful of prompts once tells you nothing about trend or coverage. Aparok runs a watchlist of the buyer questions that matter for your category across ChatGPT and Perplexity on a schedule, tracks citations and competitor mentions over time, and ranks the fixes by expected impact.
The free preview needs no signup and no installation — just paste your URL. Ongoing AI traffic attribution uses a single script snippet, similar to installing Google Analytics.
The free preview returns a homepage crawl and one live buyer prompt in under a minute. Once you're tracking a full prompt watchlist, most teams see their first citation or competitor gap within the first report cycle.
Aparok is built for teams who've already proven the product works and are moving into repeatable growth. If you're still validating the product itself, the free preview is still worth running once to see the baseline — but the ongoing tracking pays off most once you're actively scaling acquisition.