See how your business shows up across AI systems
Enter a brand → the service queries ChatGPT, Claude, Gemini, GigaChat, YandexGPT, Perplexity, Mistral, Qwen, and more through one API and, in ~30 seconds, builds a report: metrics, sentiment, competitors, hallucinations, and recommendations.
Sure—here’s the kind of structured answer models often produce, with a quick “why” line for each:
- Skillbox — broad catalog across marketing and adjacent tracks, polished student experience.
- Нетология (Netology) — practice-heavy flow, career services, multiple entry levels.
- Yandex Practicum — guided paths, portfolio projects, beginner-friendly positioning.
- GeekBrains — modules around performance, analytics, and related digital skills.
This is what a ChatGPT-style school roundup can look like. LLMCheck shows whether your brand appears in these lists, in what order, and with what sentiment.
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Audience
Who it’s for
Marketers, SEOs, business owners, agencies, and startups—anyone who cares how the brand shows up in AI answers, not just in classic search. Below are typical usage scenarios: what to check and why it matters day to day.
Marketing & SEO
Benchmark against competitors in ChatGPT, Perplexity, and other LLM answers alongside traditional SERPs.
- Build content and landing briefs around real user phrasing—the kinds of questions people ask models, not only Google.
- Review share of voice, list placement, and sentiment per model before a campaign launch or positioning change.
- Find gaps: you’re missing from recommendations, rivals win the same niche, or the model describes you inaccurately.
- Capture a timestamped snapshot and re-run after shipping new pages, links, or offer updates.
Business owners
Get a clear picture of “what AI tells customers about us” without manually probing a dozen tools.
- Check hallucination risk—wrong prices, terms, or features the model may invent.
- See weak AI citation patterns: whether answers point to your site and how stable that is across queries.
- Share a dated report with your team, agency, or partners as a single source of truth for one moment in time.
- Try the demo without a VPN or foreign card—quick evaluation before you commit.
Agencies
Treat AI visibility as a standard line item in client reporting and cut manual snapshot work.
- One run covers multiple models, prompt sets, a technical audit block, and recommendations—one narrative for the client.
- Attach the report to monthly SEO/performance reviews or pitches: show how LLM “opinions” shift.
- Compare clients side by side or track before/after site and content changes.
- Turn the action plan into a backlog for copy, engineering, PR, and internal alignment.
Startups
Validate fast whether the market “sees” the product the way your site and deck describe it.
- Before heavy marketing spend, check if you appear for category queries like “best tool for …”.
- Prepare for a funding round, public launch, or press—capture how models phrase your value prop and who they compare you to.
- Align messaging across site, support, and LLM outputs; the report highlights mismatches.
- Use repeat checks as a light regression test after homepage, pricing, or product name changes.
Flow
How it works
We don’t send a single random prompt. The core is custom check packs: ready-made scenarios and prompt chains aligned with methodologies and best practices from leaders in AI visibility—recommendations and roundups, competitor comparisons, fact-checking, AEO, and technical signals. You provide brand context; a standardized funnel runs the same way across models so results stay comparable.
- Inputs & check type. You enter brand, site, niche, region/language, and query type (e.g. full audit vs. focused snapshot). That selects a scenario pack from our library—prompts and steps—not an ad-hoc one-off question.
- Parallel model runs. Your chosen 12+ models are queried through one OpenAI-compatible API. The same custom checks run on each engine to see where you’re recommended, omitted, or misdescribed.
- Aggregation into a report. We merge visibility and share of voice, sentiment, competitors, hallucinations & fact-check, AEO, citations, and an action plan into one timestamped report.
- Progress & history. The UI streams progress (SSE) and dashboard state—per-model worker status, re-runs, and history to track change over time.
