Know exactly what your competitors are doing.

Automated competitive intelligence is the continuous, AI-driven process of monitoring competitors' public digital presence, their pricing, marketing strategy, product offerings, technology stack, and search visibility, without manual research. Lightspace Labs runs a three-layer AI pipeline per competitor: five parallel Claude Haiku scout agents gather raw data simultaneously, a Claude Sonnet specialist analyst synthesizes it into a structured profile, and a Claude Opus strategic synthesizer produces a cross-competitor intelligence brief with prioritized opportunities. The pipeline runs on a rolling schedule, citation visibility daily on Growth and Scale plans (weekly on Starter), marketing and pricing weekly, product analysis monthly, so intelligence stays current without any client effort.

Most clients have a ready-to-review competitor candidate list within a few hours of signing up. Lightspace Labs immediately researches your brand, generates search queries for your market, and scans Perplexity AI, ChatGPT, and Gemini to identify which domains co-appear with your business in AI-generated results. After you star the competitors you want to track, the first full five-module intelligence pass completes the same day.

Citation visibility measures how often each competitor appears as a cited source in AI-generated search responses, broken down by engine (Perplexity AI, ChatGPT, Gemini) and by query. It updates daily on Growth and Scale plans, and weekly on Starter. As AI search becomes a primary discovery channel, appearing in AI-generated answers is a direct measure of market authority. Citation visibility shows exactly which competitors are gaining or losing AI search presence, and how your own site compares.

Manual competitive intelligence, checking competitor sites, reviewing pricing pages, reading their blog, takes hours per competitor and produces a snapshot that is immediately out of date. AI-powered CI runs continuously: citation visibility updates daily on Growth and Scale plans (weekly on Starter), marketing strategy and pricing update weekly, and product hierarchy updates monthly, with no time investment from you. AI also processes signals a manual researcher cannot: response headers for tech stack detection, visual product hierarchy extraction using Claude's vision capability across screenshots, and citation frequency tracking across three AI search engines simultaneously.

Yes. Lightspace Labs uses only publicly available information, the same data any person could access by visiting a competitor's website. The platform analyzes public web pages, pricing pages, product descriptions, and publicly visible response headers and script sources. It does not access data behind login walls, scrape private systems, or circumvent any technical protection. Gathering and analyzing publicly available competitor information is a standard, legal business practice.

Lightspace Labs uses three Claude models in its CI pipeline. Layer 1 uses Claude Haiku, five parallel agents per competitor, optimized for speed on high-volume extraction tasks. Layer 2 uses Claude Sonnet, a specialist analyst that synthesizes all five scout outputs into a structured competitor profile. Layer 3 uses Claude Opus, reserved for strategic synthesis across all competitor profiles to produce the StrategicIntelligenceBrief with prioritized opportunities and content briefs. All plan tiers receive Opus synthesis; quality is not gated by price.

Yes. Beyond the auto-discovered candidates, you can add any competitor by URL directly from your portal. Manually added competitors are treated identically to discovered ones, star them to activate the full five-module CI schedule. This is useful for tracking specific regional competitors, known rivals in adjacent markets, or businesses that do not yet appear in AI search alongside your brand.