Lumar review: pricing, features & alternatives

Lumar's March 2026 launch post describes AI Search Visibility as prompt tracking inside the GEO platform. You set brand, domain, engines, and cadence (daily through monthly), cluster prompts under topics, and Lumar extracts brand mentions, citation positions, sentiment, and competitor brands from each answer. The headline metric is an AI Visibility Score — mention frequency weighted with citation quality — retained for up to two years.

Named engines: ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity, and Claude. Because the module lives in Lumar, the intended next click is a crawl diagnosis: robots.txt, rendering, schema, indexability — the reasons a page that should be cited never is.

There is no public SKU. Current customers talk to their account team; everyone else books a platform demo. That is appropriate for crawl-platform pricing and frustrating if you wanted to trial mention tracking tonight.

If your stack is already Lumar, this add-on is the path of least resistance. If it is not, do not buy an enterprise crawler to get a prompt tracker. Buy the tracker (Promptwatch) and keep crawl in whatever you already use — or evaluate Lumar when technical GEO is the actual project.

Every row below is a capability we already listed for Lumar. It is the published feature set for this page, not a guess at an unpublished demo.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, Lumar is a Enterprise GEO platform for Enterprise SEO teams already in Lumar, or buying crawl + AI visibility as one procurement.. What we sourced here: Prompt tracking across ChatGPT, AI Overviews, AI Mode, Gemini, Perplexity, and Claude; AI Visibility Score combining mention frequency and citation quality; Brand sentiment scores for how models describe you, not only whether they mention you; Competitor mentions and topic-level share of voice; Daily, weekly, fortnightly, or monthly cadence; up to two years of stored data.

If you buy Lumar for the job above, plan a second tool (or Promptwatch) for the layers this listing does not document. Still missing here: AI crawler logs (Agent Analytics), crawl-to-citation path, bot errors; 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).

Lumar'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.