Lucid Engine

SEO · Paid

Lucid Engine focuses on AI search visibility for e‑commerce brands, showing how often and how prominently a store is cited in answers from ChatGPT, Perplexity, and Google’s AI Overviews. It treats Generative Engine Optimization (GEO) as a measurable channel, combining AI visibility scoring, competitor benchmarking, and a prioritized fix list so teams can win more AI recommendations instead of guessing what models see.

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Pricing

Discovery Plan : $55 per month; early access pricing for 3 months, then $99 per month. Includes 1 brand, 1 country, 60 prompts, up to 3 personas, weekly refresh, and email support.
Growth Plan : $449 per month; includes 1 brand, 3 countries, 200 prompts, up to 5 personas, weekly refresh, and priority support.
Enterprise Plan : $549 per month; includes custom brand, country, prompt, and persona counts, personalized support, and a custom engine configuration.

Features

AI Visibility Audit: Provides a baseline score that blends citations and prominence across ChatGPT, Perplexity, and Google AI, including separate sub‑scores for top‑position presence and citation quality by URL.
Competitor Radar & Share of Voice: Maps which brands AI engines recommend instead, with share‑of‑voice charts that compare a brand against rivals like Nike, Adidas, or Gymshark across monitored prompts and engines.
Action Backlog with P0/P1/P2 Priority: Translates visibility gaps into a clear backlog, flagging critical P0 issues such as missing product information or 404s, along with estimated impact percentages, so teams know what to fix first.
Live Tracking & Alerts: Monitors strategic prompts daily and highlights when a brand drops out of the top three or when new competitors appear, with alerting designed for channels like Slack and dashboards showing volatility over recent model updates.
Geo & Sentiment Intelligence: Runs identical prompts from different cities, surfaces which sources drive AI answers (Reddit, GQ, Trustpilot, YouTube, and others), and exposes sentiment, recurring adjectives, and topic gaps that shape how engines describe a brand.
E‑commerce Stack Integrations: Aligns with Shopify, Magento, and WooCommerce, reflecting its focus on catalog‑driven brands that need AI to mention products correctly in shopping‑type queries.

Use cases

E‑commerce Retailers: Tracking how AI assistants recommend their products in shopping‑oriented queries and where competitor brands are preferred.
Direct‑to‑Consumer Brands: Measuring AI share of voice in lifestyle, fashion, beauty, and home categories, and aligning PR, reviews, and content with what models quote.
Performance Marketing & SEO Teams: Using GEO insights to complement paid and organic search, feeding the P0/P1/P2 backlog into existing sprint workflows.
Marketplaces and Multi‑brand Retailers: Understanding which brands in their catalog AI tends to mention, and where to push content or reviews to close gaps.
Uncommon Use Cases: Used by PR and communications teams to audit narrative and sentiment in AI answers before major campaigns; adopted by investor or research teams as an extra signal when assessing brand strength and share of attention in AI assistants.