Waikay is an AI brand-visibility reporting tool that shows how AI models describe, rank, and recommend a brand in response to category questions.
Waikay belongs to the reporting-oriented side of the AI visibility category. Its public positioning is about giving brands a clear picture of how AI models talk about them: whether the brand comes up for the questions its customers ask, how it is characterized, and how it stacks up against competitors. That report is often the first thing a marketing leader wants when they realize buyers have started asking assistants instead of search engines, and it is a reasonable place to start.
Asva produces the same picture across eight AI channels and keeps it live rather than periodic: prompt responses, share of voice, citations, sentiment, and regional breakdowns refresh continuously. It then does two things a report cannot. The DACT resolver connects those answers to sessions, orders, and GMV by re-attributing traffic GA4 classifies as "direct", so the report gains a revenue column. And the agentic-commerce layer (ACP checkout, UCP, an MCP server, and the Shoppable Funnel widget) lets the models that describe your brand also sell your products. If you need to know what AI says about you, both address it; if you need to change and monetize it, Asva is built for that.
Fourteen criteria, from the monitoring features every tool in this category shares to the attribution and commerce layers that separate a dashboard from a revenue system. A check marks a capability the category does not generally offer.
| Capability | Asva AI | Waikay |
|---|---|---|
| Primary focus | Full funnel: AI visibility, dark-traffic attribution, and agentic commerce in one platform | AI brand-visibility reporting: what models say about a brand |
| AI engines monitored | ChatGPT, Perplexity, Gemini and Google AI Mode, Microsoft Copilot, Grok, Meta AI, Amazon Rufus | Major AI engines; coverage varies by plan |
| Prompt-level tracking | Yes: the prompts that trigger mentions, with the full AI response captured | Yes, standard for the category |
| Citation and source tracking | Yes: which URLs and domains each engine cites for your topics | Yes, standard for the category |
| Share of voice vs competitors | Yes: leaderboard, platform breakdown, topic ranking | Yes, standard for the category |
| Sentiment analysis | Yes, per platform and per topic | Varies by vendor |
| AI shopping visibility (ChatGPT shopping, Rufus) | Yes: product-level visibility inside AI shopping surfaces | Varies by vendor |
| Free tier to start | Yes: free AI visibility scan, no sales call required | Varies by plan; verify with vendor |
| Free public tools (no signup) | 8+ tools: JSON-LD generator, robots.txt AI-crawler check, llms.txt generator, agentic toolkit | — |
| Dark AI traffic attribution (GA4 "direct" to AI) | DACT resolver: re-attributes sessions, orders, and GMV per AI platform | — |
| Agentic commerce (sell inside AI agents) | ACP checkout, UCP, MCP server, and the Shoppable Funnel widget | — |
| Reddit citation intelligence | Subreddit monitoring for the threads AI engines cite | — |
| Content optimization | Intelligence queue with one-click fixes plus brand-kit content generation | Varies by vendor |
| Agency and white-label reporting | Yes, on agency plans | Varies by vendor |
Comparison reflects each platform's publicly available positioning as of September 2026 and highlights Asva's differentiators. Rows marked "varies" are category-level; verify current features and plans with each vendor.
You want continuous AI visibility with prompt-level detail, plus attribution and the ability to sell inside AI engines. Or you have read the report and now need a system that changes the numbers in it.
You want a periodic, report-style view of how AI models describe your brand and have no requirement for attribution, on-site fixes, or commerce.
The reasons that come up most often in evaluations, each tied to a specific capability rather than a general claim.
Prompt responses, share of voice, sentiment, and citations refresh continuously across eight AI channels, so you see changes when they happen.
The DACT resolver re-attributes GA4 "direct" sessions to ChatGPT, Gemini, and Perplexity with a confidence score, reporting orders and GMV per platform.
ACP checkout, UCP, MCP, and the Shoppable Funnel widget let AI agents buy from your catalog, not just mention it.
A free AI visibility scan and eight-plus free public tools let you see your own data before committing.
The Intelligence queue turns findings into GEO, attribution, and checkout fixes, many applied with one click, so the report leads to change.
Track the subreddits AI engines cite and your product-level visibility inside ChatGPT shopping and Amazon Rufus.
Searches for a Waikay alternative usually come from teams who have seen the initial report and now want an ongoing system: continuous tracking, prompt-level detail, fixes to act on, and ideally a link to revenue. Asva covers that path and starts with a free scan that shows your AI visibility without a sales call. The comparisons linked on this page cover the other monitoring and analytics tools in the category, and our ranked list of AI visibility tools explains where each is strongest.
When you shortlist Waikay alternatives, decide first whether you need a report or a system. A report answers a point-in-time question, usually for leadership, and several tools in the category are designed to deliver it well. A system answers the ongoing questions that follow: which prompts are we losing and to whom, which sources shape those answers, what should we change on-site, did it work, and what did it produce in revenue. Ask each vendor to show you the full AI response behind a score, the citations for a prompt you care about, and the list of fixes they would recommend. Then ask how a change in visibility appears in your analytics. Asva is built to answer all of those from one platform, with continuous tracking across eight channels, the Intelligence queue, and the DACT resolver, and the free scan is the fastest way to see your starting point.
Full-funnel alternative
Visibility across eight AI channels, DACT attribution, and agentic commerce in one platform. Run the free scan or see pricing.
Monitoring-first alternatives
We compare every other platform in this category head to head. Start with the best AI visibility tools or jump to a specific comparison below.
Moving between AI visibility platforms is lighter than a traditional analytics migration because the inputs are prompts and topics, not historical event data. Here is the sequence most teams follow.
Turn the questions in your Waikay report into tracked prompts in Asva, grouped by topic. Each prompt keeps its full AI response history, so the qualitative "how are we described" view is preserved and becomes searchable over time.
Export your current prompt list from Waikay (or rebuild it from the topics you care about) and load it into Asva as tracked topics and prompts. Most teams are running comparable coverage within a day.
Connect GA4 during onboarding so the DACT resolver can start re-attributing "direct" sessions to ChatGPT, Gemini, and Perplexity from the first week. This is the data you will not have had before, so give it a full reporting cycle.
Run both platforms side by side for one reporting period. Visibility scores are not standardized across vendors, so compare trends and share-of-voice direction rather than absolute numbers.
If you sell online, generate your agents.json, UCP, and MCP manifests from the agentic toolkit and install the Shoppable Funnel widget. This is the step that turns visibility into orders and has no equivalent in a monitoring-only stack.
Rebuild any client or executive reports on Asva's share-of-voice, citation, and attribution views; agency plans include white-label output so external reporting does not need a separate tool.
Waikay is an AI brand-visibility reporting tool. It shows how AI models describe, rank, and recommend a brand for the questions customers ask, and how that compares with competitors.
Asva AI is a Waikay alternative for teams that want continuous tracking rather than periodic reports, plus AI-traffic attribution, agentic commerce integration, and free public tools. Other reporting and monitoring tools in the category are compared on this page.
Both show how AI models talk about a brand. Asva tracks it continuously across eight channels, connects it to revenue through the DACT resolver, and lets AI agents transact against your catalog. Waikay's public positioning is centered on the reporting itself.
Yes. Every tracked prompt stores the full AI response, and sentiment analysis summarizes tone per platform and topic, so you can read exactly how each engine characterizes you.
Yes. The free AI visibility scan produces an immediate report without a sales call. Paid plans add continuous tracking, attribution, and commerce.
ChatGPT, Perplexity, Gemini and Google AI Mode, Microsoft Copilot, Grok, Meta AI, and Amazon Rufus. Coverage in the category varies by vendor, so verify Waikay's current list directly.
Yes. Visibility, citation, sentiment, and attribution work for any brand. The agentic-commerce layer is optional and applies only if you have a catalog AI agents could buy from.
Converting report questions into tracked prompts takes hours. Connecting GA4 for attribution is a few minutes, and a full reporting cycle is needed before attribution figures are meaningful.
Each capability referenced in this comparison has its own page with screenshots and setup steps. Start with the ones that matter for your team, or browse solutions by role.
Share of voice, prompts, and sentiment across eight AI channels.
Which URLs, domains, and Reddit threads each engine cites.
Continuous tracking with full AI responses stored per prompt.
How SEO teams add AI search to their existing workflow.
The AEO playbook behind the Intelligence queue.
Generate a compliant llms.txt file without signing up.