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AI app

Lucid Engine

Tracks how a brand is cited and described across AI answer engines like ChatGPT, Perplexity and Google AI, and provides audits and action briefs to improve visibility.

  • Paid
  • Free tier

Listing data refreshed Built from public product pages and documentation. SourcesClaim this listing

ecommerceguide summary

Lucid Engine tracks how a brand is cited and described across AI answer engines, covering ChatGPT, Perplexity and Google AI on the $89 per month monitoring plan. It runs weekly checks on 60 strategic prompts for one brand in one market, showing score by engine, cited sources, competitors and buying intent, then issues action briefs, an AI readiness audit with an /llms.txt generator and publication verification. A free checker and a $29 one-off snapshot are also sold.

Why it stands out

Monitoring plan runs 60 prompts weekly across three engines and verifies published fixes, with Claude and Gemini listed as coming add-ons.

What Lucid Engine does

ecommerceguide editorial
  • Weekly runs across ChatGPT, Perplexity and Google AI
  • Tracks 1 brand, 1 market, 60 strategic prompts
  • Truth Layer, cited source mix and competitor view
  • Action briefs, AI readiness audit and /llms.txt generator
  • Publication verification plus run history and drift detection
  • Free checker $0, $29 one-off snapshot, $89 monthly plan
  • Yearly billing discounted 17%; EU servers, GDPR compliant

How ecommerce teams could use it

ecommerceguide editorial

Illustrative scenarios written by ecommerceguide from the product's documented capabilities. They are not customer case studies.

  1. Brand marketing team whose category is researched through AI assistants

    They want to know which prompts return competitors instead of their products

    Intended outcomeLucid Engine runs the prompt set weekly across ChatGPT, Perplexity and Google AI and reports score by engine, competitors and cited sources

  2. Content team maintaining product and comparison pages

    Audit findings need turning into specific pages and proof to publish

    Intended outcomeThe workspace issues action briefs and prioritised directives, drafts an /llms.txt file, then verifies the published change and stores it in run history

  3. Marketing lead reporting on how AI answers describe the brand

    Monthly reporting needs consistent figures rather than ad hoc prompt checks

    Intended outcomeTruth Layer, sentiment and buying intent views give repeatable metrics per engine, with drift detection across runs

Who it suits

ecommerceguide editorial

Best for

You want weekly tracking of one brand across ChatGPT, Perplexity and Google AI with action briefs and publication checks, at $89 per month.

Probably not for

You need multiple brands or markets, more than 60 prompts, or Claude, Gemini and DeepSeek coverage, which are listed as coming soon.

Business size
Any stageSelf-serve pricing runs from a free checker and a $29 snapshot to an $89 per month monitoring plan, with team and multi-brand options still described as in development.

Lucid Engine pricing

From the vendor

As published by the vendor. Checked . Confirm current prices on the vendor's site.

Model
Paid
Try before buying
Free tier
PlanMonthlyWhat is included
Free checker$0No signup before result
One-shot snapshot$19Full prompt + competitor view, Truth Layer + AI readiness audit, Action briefs + next proof to publishOne-time purchase
Main plan Monitoring plan$89Keep the Luci Engine workspace live every weekMonthly plan

Discount available for yearly subscriptions (-17%)

Often used alongside

ecommerceguide editorial

What the vendor and reviewers say

From the vendor

Customers named by Lucid Engine

  • Hyperfunnel
  • BrandRank.AI
  • DeployHub
  • AnyTrack
  • Ascend2
  • CustomerBase.ai
  • AlgoExpert
  • Abmatic AI
  • Bento Engine
  • TestParty
  • Breeze Docs
  • FastStrat

Named on the vendor's own site (source (opens in a new tab)). Not confirmed with the customers.

Security and compliance claims

  • GDPR
  • PCI DSS

As stated by the vendor (source (opens in a new tab)). Ask the vendor for certificates before relying on them.

Categories and use cases