Explore Prompts

Using sample receipts or menu photos, rebuild SKU mix for rivals. Tag KVI items, margin drivers, and attach rate. Recommend shelf or menu engineering moves.

Reconstruct retail competitors’ promo calendars and loyalty mechanics. Measure discount depth, frequency, and lift proxies. Propose counteroffers and a test calendar.

For retail rivals, compute store density vs population and transit nodes. Estimate catchment overlap with us. Output cannibalization risks and new-store priority cells.

Map retail and hardware competitors’ channels: direct, marketplace, VAR/SI, carrier. Provide region coverage, margin estimates, and MDF practices. Recommend 3 counter-channel moves.

For a target device, outline a hypothetical BOM vs competitors. Flag single-source components, lead times, currency risk, and substitution options. Output a risk heatmap and mitigation plan.

Build a quick patent and standards map for 5 hardware rivals. Note assignees, citation networks, relevant standards bodies, and likely lock-ins. Output white-space opportunities and design-around ideas.

Analyze competitors’ hiring posts, release notes, and changelogs. Infer next 3 quarters of bets, required infra, and partner dependencies. Output a timeline with confidence levels.

Scrape or paste app reviews for 5 software competitors. Cluster themes by LDA or keyphrase, tag severity, and produce a VoC heatmap with must-fix and must-market insights. Provide a response playbook.

List top software competitors. For each, map features, integrations, SLAs, security certs, and roadmap hints. Score differentiation and copyability risk. Output a matrix and a moat narrative.

Collect competitor pricing: SaaS tiers vs hardware MSRP and street price, retail promo patterns, food menu bands, movie ticketing and subscription models. Output parity gaps, willingness-to-pay hypotheses, and 3 pricing experiments.

Given a product brief and geos, estimate TAM/SAM/SOM using top-down and bottom-up methods for movie, retail, food, software, and hardware analogs. Include assumptions, sources to verify, and a sensitivity table.

Build five-forces analyses for movie, retail, food, software, and hardware sectors in the target market. Rate each force 1–5 with evidence. Output sector-by-sector radar charts specs and a consolidated risk/opportunity note.