Quattr AI Visibility review: pricing, features & alternatives

quattr.com/features/generative-engine-optimization, quattr.com, quattr.com/pricing and the Quattr MCP help center at quattr.com/docs/quattr-mcp (read 14 October 2026). quattr.com/llms.txt returned a 404. The GEO page says tracked prompts run on your schedule, daily by default, and that each answer is recorded so you can follow citations, mentions, share of voice, sentiment and competitor presence by prompt, engine, country and run date.

The engine list shifts a little between pages. The GEO page FAQ names ChatGPT, Google AI Mode, Perplexity, Gemini and Claude. The same page's feature copy names Google AI Overviews, ChatGPT, Claude, Perplexity and AI Mode. The MCP docs list AI visibility as ChatGPT, Perplexity, Gemini and AI Mode, and treat Google AI Overviews as a separate on-SERP metric inside market share. Read it as five answer engines plus AI Overviews, and confirm Claude on your contract.

Quattr's argument is first-party data. AI visibility sits next to Search Console (1 to 2 days of lag), GA4 or Adobe (loaded nightly), Google Ads, Lighthouse and a site crawl. Server web logs, refreshed within hours to nightly, unlock AI crawler activity and Googlebot verification. That means one platform can show a prompt you lost, whether AI crawlers fetched the page, and what the page earned in clicks and conversions.

The case studies on the site, such as Kiteworks at +79% Google AI Overview presence in six weeks, are Quattr's published figures and we have not audited them. The buying path is the real limit. The pricing page is a form, the free trial comes after a call, and nothing on the pages we read lists prompt counts, engine limits or plan names.

Every row below is a capability we already listed for Quattr AI Visibility. It is the published feature set for this page, not a guess at an unpublished demo. Compare it with the Promptwatch checklist that follows.

On this listing, Quattr AI Visibility is a Enterprise GEO platform for Enterprise SEO teams that want AI citations measured against their own Search Console, analytics and log data, and are fine buying through a demo.. What we sourced here: Engines: ChatGPT, Google AI Mode, Perplexity, Gemini, Claude (daily by default); Google AI Overviews via market share data; Citations, share of voice, mentions and sentiment by prompt, engine, country and run date; Joins AI visibility with Search Console, GA4 or Adobe, Google Ads and server logs; AI crawler analysis (GPTBot, ChatGPT-User, PerplexityBot, ClaudeBot) when server logs are connected; GIGA agent and guided editor prepare content and fixes for review; MCP server for Claude, ChatGPT, Cursor and VS Code.

If you buy Quattr AI Visibility for the job above, plan a second tool (or Promptwatch) for the layers this listing does not document. Still missing here: Visitor analytics: AI-referred sessions and conversions; Content Agents that plan, write, and publish GEO pages to a CMS with a review inbox; Citation analytics at page, domain, Reddit, YouTube, and offsite level; Prompt volumes, difficulty, query fan-outs, personas, city-level geo; Prompt and citation trends (what changed between checks); ChatGPT Shopping tracking and Ads Radar; Agent Chat, Unified Actions, MCP server / REST API on paid plans. Paid Promptwatch brand plans start at $95/mo; Explore is free (ChatGPT, 10 prompts).

Quattr AI Visibility's public pages (and this listing) describe a narrower job than Promptwatch. Most rivals answer whether you were mentioned. Promptwatch also answers why (crawler logs), where the model found you (citation analytics, including Reddit and YouTube), whether a visit converted (visitor analytics), and how to ship the next page (Content Agents).

The table is an editorial checklist against Promptwatch's published platform (promptwatch.com/llms.txt, 2026-08-23). It is not a hidden feature list for this vendor. 'Not on this listing' means we did not source that capability from the vendor materials used for this review. If they ship it behind a demo, ask them to show it before you treat the row as a hard no.