42 AI agents working 24/7. No hiring. No management. No burnout. They research, create, sell, and measure — while you sleep.
No calls. No onboarding. No setup fees. You tell us your business — we come back with exactly what your market looks like.
Submit your business name, location, and industry. That's it. Takes about 60 seconds. No account needed for a one-time report.
SINCOR maps your 5 closest competitors and pulls data across pricing, reviews, social presence, website content, marketing activity, and estimated ad spend.
You get a detailed competitive intelligence report in your inbox with 3 specific, actionable findings — not vague insights. Real numbers. Real gaps.
Adjust your pricing, add a service competitors are missing, fix a reputation gap, or double down on what's working. Most clients find at least one thing worth changing immediately.
Six sections. Every one focused on helping you make a specific decision about your pricing, positioning, or marketing.
Exact prices where available. If a competitor hides pricing, we note that too — and explain what that usually signals to customers. You'll see how you compare on every major service.
NLP analysis of competitor reviews to find what customers actually complain about — and what they love. These are the gaps your marketing should exploit and the mistakes you should avoid.
Are your competitors running paid ads? What content are they posting? How often? What's getting engagement? We look at social activity, ad spend estimates, and content strategy.
Where are competitors weak? Low review count, slow response times, unresolved complaints — these are opportunities. We flag the specific areas where you can own the narrative.
Services customers are asking for that none of your competitors offer. Review mining often surfaces requests for services, hours, or options that are underserved in your area.
Every report ends with three concrete actions — not "improve your marketing" (useless). Real actions: "Raise your price on X service by $Y based on competitor data." "Add Sunday hours — no competitor in your area offers them." "Respond to your last 10 reviews — your competitors aren't." These are decisions you can make this week.
We're not going to tell you "AI finds $100K opportunities." Here's exactly how we get the data and what we actually do with it.
Google Business listings, Yelp reviews, competitor websites, Instagram/Facebook, Google Maps, local news, and industry directories. All publicly available. All legal. No scraping protected data.
We run NLP on review text to find themes across hundreds of reviews. We use statistical modeling to estimate ad spend from ad library data. The output is patterns, not predictions.
Automated data collection + human QA pass. No calls, no discovery meetings, no 2-week timelines. You submit, we analyze, you get a report in your inbox the next day.
If a competitor hides their pricing, we say so. If data is missing from a source, we flag it. We don't fabricate confidence where none exists. You get what the public data actually shows.
Pick based on how often you need to know what's happening in your market. Annual plans save 20%.
Multi-location businesses, franchises, or complex competitive landscapes. We scope it per engagement. Email enterprise@getsincor.com.
Resell SINCOR reports under your brand. We handle the data, you handle the client relationship. Partner pricing available. Email partners@getsincor.com.
Anonymized examples of real findings from SINCOR reports. All figures are from actual competitive analysis, not projections.
"We had no idea the rest of the market was charging $380+ per unit. We were at $295 for years because we were afraid to raise prices. The report showed us exactly where we stood — and gave us the confidence to move."
We understand if "AI-powered competitive intelligence" sounds like marketing speak. Here's what we actually do, technically, step by step.
We scrape competitor websites for service menus and pricing pages. We check Vagaro, Mindbody, and Square booking pages (often publicly accessible). We also analyze pricing mentioned in reviews ("paid $X for Y"). Where pricing is hidden, we flag it explicitly — we don't guess.
We use NLP (natural language processing) to categorize review text into themes: pricing, wait time, staff, cleanliness, results, parking, etc. We track sentiment and frequency across all competitors to find patterns — not just averages. A 4.2★ rating with 40% of reviews mentioning "rude staff" tells a very different story than a 4.2★ with no recurring themes.
We check the Facebook Ads Library (public) for active ad campaigns. We look at Instagram post frequency and engagement rates. We check Google Business post activity, website blog recency, and SEO keyword presence. We estimate ad spend ranges from visible ad density and duration — not exact figures, but directional.
We pull fresh data for each report — no stale caches. Review data is typically 1–7 days old depending on source update cycles. We analyze business data only — no personal customer data, no individual tracking, no PII. We're analyzing how businesses present themselves publicly, not anything private.
Your competitors are out there. Their pricing is public. Their review problems are documented. You just need someone to pull it all together and tell you what it means.