SEORCE is an AI-powered SEO + GEO platform that helps brands monitor, optimize, and grow visibility across traditional search and AI/LLM answers like ChatGPT. It combines rank tracking, web analytics, site crawls, content and authority insights, competitor monitoring, and prompt intelligence in one workspace. Teams can see where they appear in AI platforms, understand why, and act with guided recommendations and AutoFix SLM to apply safe, step-by-step improvements without juggling tools daily.
Monitor how your brand shows up inside AI assistants and LLM answer engines. AI Beacon tracks presence across multiple AI platforms, surfaces the prompts and topics where you’re mentioned, and reports visibility trends over time. You can compare against competitors, spot gaps by product or keyword cluster, and export reports for stakeholders. This makes “AI search” measurable—so teams can prioritize content, authority, and technical fixes based on real discovery, not guesses.
Track rankings and SERP changes with a built-in rank tracker, then layer in recurring competitor analysis to see who’s gaining share. Local and device context helps you validate real-world performance, while historical views make wins and losses obvious. Use the same workspace to monitor keywords, pages, and competitors together so you’re not stitching reports from multiple tools. The result is faster diagnosis and clearer priorities for SEO roadmaps and client reporting.
Run deep site crawls to uncover technical issues that block growth—broken links, indexing problems, duplicate content, performance issues, and on-page gaps. SEORCE ties crawl findings to content and authority signals so you see what matters most for discovery, not just a long issue list. Recommendations are grouped into actionable themes you can assign and track, helping teams improve health, relevance, and trust signals with fewer manual audits.
Connect visibility to outcomes with web analytics in the same product. Track traffic, conversions, and landing page performance alongside rankings and AI mentions, so you can tell which efforts actually drive growth. Funnels, UTM/source breakdowns, and time comparisons explain what changed after a fix or content push. This unified view reduces reporting overhead and keeps SEO work tied to business results instead of vanity metrics for teams and agencies.
Move from insight to action with AutoFix SLM, which applies guided, reviewable fixes based on SEORCE findings. Instead of a black-box “optimize” button, AutoFix proposes step-by-step changes—like metadata, on-page updates, or technical adjustments—so teams can approve, roll back, and learn. Combined with alerts and scheduled reporting, this creates a repeatable workflow for improving both classic SEO and AI discovery without constant manual effort.
Brands and agencies that need one platform for SEO and AI search visibility. Great for marketing and growth teams tracking rankings, crawls, analytics, content, and competitors, plus “GEO” work to improve how they appear in LLM answers. Ideal for SaaS, ecommerce, and content businesses that want measurable discovery signals, scheduled reports, and guided fixes—without stitching dashboards or adding a separate stack for AI monitoring across markets.
Replaces a pile of disconnected SEO tools with a single system that measures discovery across search and AI and turns it into action. It solves the visibility blind spot in LLM answers, reduces crawl and reporting overhead, and shortens time from insight to implementation with guided AutoFix steps. Teams iterate faster, align priorities with growth goals, and keep an audit trail for what changed, when, and why across sites, regions, and campaigns.
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