Peec AI is an AI visibility analytics tool that tracks brand mentions and rankings across AI answer engines.
Peec AI is an analytics-first entrant in the AI visibility category. Its public positioning is about clear, shareable reporting on how a brand and its competitors appear across AI answer engines: mention rates, positions, sources, and how they trend. For marketing teams who need a dependable weekly view of AI search and a report they can forward, that is a sensible product to build, and it explains why Peec is frequently on shortlists alongside the other monitoring tools compared on this page.
Asva produces the same class of report, across eight AI channels, with share of voice, citation intelligence, sentiment, and regional breakdowns. The reason teams choose it over an analytics-only tool is what sits underneath the report. The DACT resolver re-attributes AI-driven sessions that GA4 records as "direct", so the report includes AI-attributed orders and GMV rather than mentions alone. The Intelligence queue turns findings into ranked fixes. And the agentic-commerce layer, with ACP checkout, UCP, an MCP server, and a one-script Shoppable Funnel widget, lets the engines you are reporting on complete purchases. Analytics is where the workflow starts; Asva is built so it does not have to end there.
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 | Peec AI |
|---|---|---|
| Primary focus | Full funnel: AI visibility, dark-traffic attribution, and agentic commerce in one platform | AI visibility analytics and reporting |
| 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 | Reporting-focused; white-label varies |
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 visibility analytics plus attribution and commerce, with a free tier and free tools to start. Or you are an agency that needs to report a revenue number, not only a mentions count.
You need lightweight AI visibility analytics and reporting only, with no attribution, optimization, or commerce requirements.
The reasons that come up most often in evaluations, each tied to a specific capability rather than a general claim.
Track, attribute, optimize, and sell, instead of stitching a monitoring tool to everything else.
Reveal AI-referred revenue hidden in GA4 "direct" with the DACT resolver, including per-platform sessions, orders, CVR, AOV, and GMV.
Use the free scanner and public tools to audit any site in minutes, which is also a useful way to qualify agency prospects.
ChatGPT, Perplexity, Gemini and AI Mode, Copilot, Grok, Meta AI, and Amazon Rufus, with product-level shopping visibility where it applies.
Monitor the subreddits and threads AI engines cite for your category, a source most analytics dashboards do not break out.
The agentic toolkit generates agents.json, UCP, and MCP manifests, and the Shoppable Funnel widget installs with one script tag.
Most people searching for a Peec AI alternative want one of two things: comparable analytics at a different price point, or analytics that connect to revenue. Asva is the second kind, and its free scan and public tools mean you can compare the analytics quality on your own brand before paying for anything. For a survey of the analytics-first alternatives, the comparisons linked on this page cover the rest of the category, and our ranked list of AI visibility tools explains the trade-offs in more depth.
A short evaluation checklist for Peec AI alternatives: confirm engine coverage against the assistants your buyers use, including Google AI Mode, Copilot, and, for product brands, ChatGPT shopping and Amazon Rufus; check whether full responses and citations are stored so a report can be explained, not just presented; ask how the tool handles multiple brands or clients if you are an agency, and whether white-label output is included; and ask what happens after the report. Analytics tools generally do well on the first three and stop at the fourth. Asva's answer to the fourth is the DACT resolver and the Intelligence queue: AI-attributed orders and GMV appear alongside share of voice, and the fixes that would move the numbers are ranked by impact. If that is the gap you are trying to close, run the free scan on your own site and compare the report you get with the one you have today.
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.
Recreate your reporting cadence first. Asva's share-of-voice, platform-breakdown, and citation views map to the standard analytics reports in this category, and agency plans add white-label output for clients.
Export your current prompt list from Peec AI (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.
Peec AI is an AI visibility analytics platform that tracks brand mentions and rankings across AI answer engines and reports on share of voice, sources, and trends.
Asva AI is a Peec AI alternative that combines multi-engine visibility analytics with AI-traffic attribution, agentic commerce integration, and a suite of free public tools. Analytics-first alternatives in the same category include Otterly.ai and Evertune.
Yes. Beyond visibility analytics, Asva attributes AI-driven traffic and enables selling inside AI agents, covering the funnel from mention to revenue.
Asva covers the standard reports in the category: share of voice, mention and citation tracking, competitor leaderboard, platform breakdown, sentiment, and regional visibility. It adds attribution and commerce reports that analytics-only tools do not have.
Yes, on agency plans. Reports can carry your agency branding, and multi-brand workspaces keep client data separate.
DACT stands for Dark Agentic Commerce Traffic: sessions from ChatGPT, Gemini, and Perplexity that GA4 classifies as direct. The resolver re-attributes them with a confidence score and reports sessions, orders, and GMV per AI platform.
Yes. The free AI visibility scan and eight-plus free public tools require no sales call. Paid plans add continuous tracking, attribution, and commerce features; see the pricing page.
Asva monitors eight AI channels including Grok, Meta AI, and Amazon Rufus. Coverage across the category varies by vendor and plan, so verify Peec AI's current engine list with the vendor.
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.