See how your business shows up across AI systems
Supported models
ChatGPT
Sample reply · online schools
Recommend a few trusted online schools for digital marketing beginners. Keep it short with one strength each.
Sure—here’s the kind of structured answer models often produce, with a quick “why” line for each:
- OpenClassrooms — mentor-guided learning paths and project-based progression.
- FutureLearn — short professional programs from UK/EU universities and partners.
- Le Wagon — intensive cohorts focused on practical, job-ready digital skills.
- Code Institute — structured pathways for beginners with portfolio-oriented milestones.
Wording and order can change in a real chat—that’s exactly what brands should monitor.
This is what a ChatGPT-style school roundup can look like. getllmspy shows whether your brand appears in these lists, in what order, and with what sentiment.
Trusted by teams like
Names are illustrative training-sector examples for positioning; no endorsement by those organizations is implied. Featured review on the homepage is published with the author’s consent for marketing use.
Comparison
getllmspy vs Semrush AI, Otterly, Brandwatch & Profound
| Criterion | getllmspy | Semrush AI | Otterly.ai | Brandwatch | Profound |
|---|---|---|---|---|---|
| Entry threshold | Free tier Solo — $9.90/mo · 10-check pack — $9.90 · pricing | from ~$140/mo | from $29/mo | from ~$800/mo on request | from ~$500/mo on request |
| Paying from Russia | Mir, Russian Visa/MC, invoicing — no VPN or intermediaries | Foreign card or intermediary only | Foreign card | USD/EUR contract | USD contract |
| Russian UI | Yes | No | No | No | No |
| GigaChat & YandexGPT | Yes every run | No | No | No | No |
| ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek, … | Yes all in one run | Limited set | Partial | Not product focus | Partial |
| Product focus | Pure LLM visibility: mentions, sentiment, competitors, hallucinations | Large SEO suite; AI visibility is one module | AI search & citations in chat answers | Social listening & media | Enterprise AI visibility |
| Pricing without a sales call | Yes | Yes basic plans | Yes | After brief | After brief |
| Hallucination detector | Yes | No | No | No | No |
Indicative only—vendors differ by legal terms and roadmap. Entry prices reflect public pages and reviews as of March 2026; Brandwatch and Profound often omit full grids on-site. Verify with each vendor before you buy.
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.
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
Not a one-off chat question: you run ready-made scenario packs—roundups, competitor angles, fact checks, AEO-style signals. Brand context is for scoring only; prompt text does not name your brand, so mentions in answers are organic. The same scripted steps run on every model you choose.
1. Brand context and check type
You fill in brand, site, niche, region/language, and check type (full audit for brand checks, or Top 10 in niche). That picks a fixed prompt pack—category-style questions, not “tell me about Brand X”.
2. Parallel queries across models
Your selected models (12+) are queried in parallel via API—each model on its own connection. You see where you’re recommended, skipped, or described incorrectly.
3. One dated report
Outputs merge into one dated report: visibility, share of voice, sentiment, competitors, hallucination risk, citations, and what to do next.
4. Progress, re-runs, and history
Live progress in the UI, re-runs, and history so you can see how answers change over time.
Check pipeline
1
Brand
Site, niche, region, language, and check type—the entry to the funnel.
2
Check pack
Custom scenarios and prompt chains aligned with market-leader AI visibility practice.
3
LLM API
Parallel queries to 12+ models—each over its provider API.
4
Aggregation
Score, SoV, AEO, risk, sentiment, competitors, and recommendations.
5
Report
One timestamped snapshot: what models said and what to do next.
6
SSE / dashboard
Per-model worker progress, re-runs, and history.
Next step: run a check
You’ve seen how it works—enter your brand and context, we run the scenario pack across models, and you get a timestamped report. The job runs on the server: you can close the tab and open the finished report from History after sign-in.
Daily Reports
Daily reports
FAQ
Questions before you run a check
A concise, non-repetitive overview of what getllmspy does, how it differs from a manual chat, and how to read visibility metrics—written for marketing and SEO teams, not for keyword stuffing.
For data retention, query types, and support channels, see the full FAQ.
Voices
What teams say about AI visibility
It matters to watch daily dynamics: in AI answers there is no ‘stable week’—what ranks today can shift tomorrow. A daily slice keeps surprises out of your numbers and gives you room to act before the trend shows up in revenue.
Nikita Vikhrov
CMO
We needed one snapshot across several models without hopping UIs. The dated report and per-prompt breakdown went straight into a board deck—clear where we show up in roundups and where competitors edge us out.
Head of performance, e-commerce
Model-level share of voice and competitor names pulled from answers replaced our collage of screenshots. It became the starting point for a content roadmap and landing refreshes aligned with how people actually phrase questions to LLMs.
VP Marketing, B2B SaaS
We care about reproducibility, not a single lucky chat frame. Query type plus the check pack give comparable before/after runs around a homepage launch—visibility either moves, or it doesn’t.
SEO lead, fintech
Retention is easier when clients see one coherent story: many models, competitors, recommendations. Check history answers “what did it look like a month ago?” without digging through threads.
Founder, boutique digital agency
A frictionless demo—no foreign card gymnastics—let the team validate a niche hypothesis in an evening before committing to an overseas monitoring stack.
Product marketer, marketplace
When models invent prices or terms, that’s operational risk. The report surfaces it early so legal and support can align the site and macros before a bad answer spreads.
Head of customer experience, services
Brief
Tell us what you need
Four short steps — we’ll reply on Telegram or by email. No spam.
What do you want to achieve?