No product description has been published for this domain yet. Everything below is measured directly.
Customer Supportpaka.aiTracked since 2026-08-191 discovery source
2.8KBacklinks
120Referring domains
22Domain authority
+19.6%Referring domains · 90 days
Authority & distribution
How strong is Paka AI’s web footprint?
Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.
Backlinks
2.8KCurrent snapshot
Referring domains
120Current snapshot
Authority
22Domain authority · category median 22
90-day move
+19.6%Referring domains, last 90 days
At 22, Paka AI sits above the 22 median for its category.
Trajectory · Pro
The counts above are the latest of 370 daily observations. The curve through them is on the full profile.
Traffic makes more sense when you can connect it to the actual product promise.
“Paka AI”
No usable description reached this profile from any discovery source, so none is shown. The measured signals below are unaffected.
Customer SupportSeen 2026-08-19 → 2026-08-19Coverage tier C
What we have measured
4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.
Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
What problem does Paka AI solve for businesses?
Paka AI solves the problem of missed opportunities and operational inefficiency by providing 24/7 automated communication. It handles 90%+ of routine inquiries and scheduling, preventing lead loss after hours and freeing staff from repetitive tasks, as described in its homepage comparison of old vs. new systems.
What key features and services does Paka AI offer?
Paka AI offers comprehensive communication solutions including an AI Receptionist for answering calls, Smart Call Routing based on intent, a Message Center for capturing leads, Appointment Scheduling integrated with calendars, and WhatsApp Engagement. These are listed as its core services on the homepage.
How does Paka AI automate business communications?
Paka AI automates communications by having AI agents that handle calls and WhatsApp messages, analyze caller intent for routing, book appointments automatically with calendar integration, and capture customer messages. It is positioned as a next-gen solution for scaling business communication.
What is Paka AI used for and in what situations?
Paka AI is used for business communication automation, specifically for handling incoming calls, routing traffic, scheduling appointments, and engaging customers via phone and WhatsApp. It is used in situations where businesses need to manage customer inquiries, capture leads, and book appointments continuously.
Who is Paka AI designed for?
Paka AI is designed for businesses ready to scale beyond limits, as indicated by its tagline and the description of automating calls and scheduling. Its homepage targets businesses looking to innovate their communication with AI-powered agents.
5 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.
Behind the lock
Unlock full Paka AI intelligence.
Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
AI referral detailHow much traffic assistants send.
Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.
Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured