Petra Labs review: pricing, features & alternatives

petralabs.com, petralabs.com/solutions and the Detailed Overview of the Petra Labs Platform article on petralabs.com/intelligence (read 14 October 2026). There is no llms.txt and no pricing page, but the Solutions FAQ answers the pricing question directly. Engagements start at $15,000 per month, and typical engagements are $250k to $600k+ annually. Scope depends on the number of brands or product lines tracked, how competitive the queries are, and how complex the attribution setup is.

The platform reports visibility, average rank, citations, sentiment, and how AI rates you against competitors on key purchase criteria. Petra runs each prompt many times because model output varies between runs. It also captures what Petra calls chain-of-thought data: the searches a model runs and the sources it consults before answering, including sources that never appear in the final answer. The site says it tracks every major AI platform but does not name the engines.

Petra's own framing is that its experts "do 100% of the work." That includes platform setup, query selection and weighting, strategy, premium copywriting, technical site audits, programmatic AEO, earned media placements and social management. Attribution is the centerpiece: a custom multi-touch and marketing mix model that tries to identify AI-referred traffic hiding in direct, organic or dark social, and connects it to pipeline and revenue.

The homepage features a Zapier case study, and the Solutions page quotes a 27x AI search traffic result. Those are the vendor's own figures. The trade-off is cost and lock-in. You buy a team and a custom model together, and the prompt set is built for you, so it's hard to benchmark Petra against off-the-shelf trackers.

Every row below is a capability we already listed for Petra Labs. It is the published feature set for this page, not a guess at an unpublished demo.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, Petra Labs is a GEO service for Enterprises that want an outside team to run AEO end to end and prove revenue impact with custom attribution.. What we sourced here: Custom prompt maps from forum scraping, opt-in panel, clickstream and search data; Visibility, average rank, citations, sentiment and key purchase criteria benchmarking; Chain-of-thought capture: fan-out queries and interim citations the user never sees; Full execution: copy, technical audits, programmatic AEO, earned media, social; Custom multi-touch attribution and marketing mix models tied to pipeline and revenue.

If you buy Petra Labs 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 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).

Petra Labs'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.