AI chatbots are the new search. Are you in the answers?
Every day we probe 9 AI platforms – ChatGPT, Gemini, Perplexity and more – and show where you are cited, where competitors win, and why.
Russian B2B already tracks AI visibility
Teams use Visiobrand to turn LLM mentions into a managed channel — from content briefs to measurable outcomes.
В рамках нового проекта нужно было отслеживать видимость и результативность в LLM-моделях. Тестовый период дал возможность понять: это именно то, что нужно.
Сервис дал нечто большее, чем просто отслеживание — это и составление ТЗ для контента, и поиск площадок для размещения, и наглядная результативность своих действий, а также потрясающие отчёты.
Огромное, большущее спасибо команде поддержки и разработчикам! Мне кажется, я ещё не встречал такого в сервисах: когда пишешь о проблеме или спрашиваешь, как пользоваться, тебе в ту же секунду начинают отвечать и помогать.
А доработки, скорость обновления и появление новых фишек — просто бешеная. Что-то не так? Написал, в ту же минуту «сейчас всё будет», проходит 30 минут, уже поправлено.
Ни о чём не жалею в выборе этого сервиса, рекомендую.
В этом году мы начали отслеживать видимость и позицию компании относительно конкурентов в LLM-моделях. Сервис от Visiobrand показался нам наиболее привлекательным среди других предложений.
Прежде всего, благодаря удобному, интуитивно понятному интерфейсу и качественной визуализации.
Мы используем программу уже несколько месяцев и остаёмся довольны. Visiobrand предоставляет множество данных для анализа, непрерывно развивается, в том числе и по нашим просьбам.
Отдельно хочется отметить работу Сергея, который всегда готов оперативно помочь и ответить на любые вопросы.
Мы однозначно рекомендуем данный сервис для работы.
Brand visibility in AI chats — four numbers
Dashboard tracks them daily across every model — no guesses, no spreadsheets
Brand visibility
Share of queries where LLM mentioned your brand at least once
Website citations
How often AI cites your domain as a source in its answer
Position in answer
Average rank of the brand among other options in a single response
Share of Voice
Brand mentions vs competitors within the category
Calculated separately for each of 9 AI models and rolled up into daily trends
Not just mentions. Your brand's role in the decision.
We analyze every AI response with our own LLM to answer the real question: who were you in this answer — a top recommendation, an alternative, or just a passing mention? It's not a counter — it's a diagnosis.
Intent classification
Every query is classified into one of 6 intent types — from comparisons and rankings to buying intent.
Role in the answer
Our LLM determines whether your brand shows up as a top pick, an alternative, or just a mention in a list.
Intent × Competitor matrix
One table reveals in which query types the AI favors you — or your competitors.
Three roles a brand can play
The same mention can mean very different things — it all depends on the role you're playing.
Top pick
AI names you first and unambiguously. This is a win.
To get more of these answers — strengthen E-E-A-T and your presence in authoritative sources.
Alternative
AI offers you as "another option." You're on the radar, but not the first choice.
Double down on concrete advantages and social proof — case studies, reviews, numbers.
Mention
AI just listed you along with others. You have recognition but little authority.
Priority is positioning and differentiation. Without a unique angle, AI will keep lumping you into the generic list.
Intent × Competitor matrix
Your brand plays different roles in different query types. We show it all in one table — so you can instantly see your strengths and gaps.
| Your brand | Competitor A | Competitor B | Competitor C | |
|---|---|---|---|---|
Rankings | 48% | 22% | 18% | 12% |
Comparisons | 62% | 24% | 10% | 8% |
Vendor discovery | 38% | 34% | 20% | 18% |
Buying intent | 52% | 28% | 14% | 10% |
Problem solving | 30% | 32% | 22% | 18% |
Informational | 22% | 18% | 20% | 16% |
In comparison queries you're the top pick in 62% of answers, while Competitor A gets only 24%. That means your comparison content is working — lean in and publish more case studies and "X vs Y" articles.
Mentions are a symptom. Role is a diagnosis.
Sometimes LLMs say untrue things about brands. We catch that.
Every response is checked — facts vs distortions, and which myths about the brand are growing
Fact-check answers
We compare what AI says about prices, product and specs against your brand knowledge base. Discrepancies are flagged.
Myth scanner
We track rising distortions before they spread.
Highlights inside the answer
Open a specific AI response — disputed claims are highlighted with the correct info and source from your KB.
From a visibility gap to a published article — without hallucinations
9 agents work the prompt cluster, ground in your brand knowledge and write an article that lands in LLM answers
Cluster research
Agent queries AI models, gathers existing answers, and where the brand has gaps
Grounded in your KB
Every claim comes from your knowledge base or a verified source — not from AI's imagination
Publish and measure lift
The article goes to your CMS; at +3/7/14 days we measure how cluster visibility changed
One source of truth — for every agent and check
Upload product, pricing and voice documents — every agent and check leans on them
Any document format
PDF, DOCX, Markdown, URLs — we parse and index. Categories: product, pricing, voice, competitive.
RAG retrieval over knowledge
When an agent needs a fact, it searches your KB — not invents one. That's what separates trustworthy from junk.
Shared with fact-check and briefs
Same KB powers AI response checks, article generation and briefs. Upload once — works everywhere.
Board-ready PDF — in a minute
Pre-built slides with visibility dynamics, competitors and recommendations — no copying charts into PowerPoint
Ready-made templates
Monthly report, quarterly review, competitive snapshot — every slide with numbers and trends
Your brand styling
Logo, colors and brand name are filled in automatically. Download PDF or editable PPTX.
60 seconds from click to file
No manual Excel or slide assembly — data is pulled from the platform automatically
Work with your data directly inside Claude and ChatGPT
Via our MCP server, your data connects to Claude.ai and ChatGPT — 8 tools out of the box
Claude.ai and ChatGPT
A "Visiobrand" connector appears inside Claude/GPT — ask about visibility and competitors right in chat
Example query
"Show top-5 prompts where Visiobrand was not mentioned this week" — Claude returns a table from the platform
API and webhooks
If MCP doesn't fit — there's a direct REST API and webhooks on every test
Pricing for brands
Track and grow your brand’s visibility across AI platforms — with analytics your team will love.
1 query = 1 prompt × 1 AI model. Choose models and testing frequency in your account.
How many prompts fit?
Pick models and testing frequency — we’ll show how many prompts fit each plan.
Each prompt × 5 models ≈30×/mo
Everything for Visibility Management
From monitoring to content optimization — a complete toolkit
Daily Monitoring
Automated tests on 7+ AI models every day. Visibility, position, sentiment, sources.
Content Optimization
Generate and optimize articles for maximum AI visibility. GEO score from 0 to 100.
AI Assistant
Ask a question — get an answer with charts and insights about brand visibility.
A/B Testing
Compare brand visibility before and after content changes. Measure the impact of optimization.
Frequently Asked Questions
Answers to popular questions about the platform and AI brand visibility monitoring
A mention is just a signal. We analyze the brand's role in the answer (main choice / alternative / mere mention), sentiment, position among options and share of voice vs competitors. We also fact-check separately: which facts about you AI gets right, and which it distorts.
9 models: ChatGPT, Gemini, DeepSeek, Yandex Alice, Yandex Search with Alice, Google AI Overviews, Google AI Mode, Perplexity and GigaChat. Tests run daily or weekly (your choice). Results land in the dashboard and as email/Telegram alerts on significant changes.
Content Lab is a 9-agent pipeline that goes from researching a prompt cluster to a finished article. Anti-hallucination: every claim is grounded in your brand knowledge base or a verified source, with multiple post-checks that strip out facts not present in the KB.
You upload your documents once — product description, pricing, brand voice, competitor material. The platform parses PDF/DOCX/Markdown/URLs and stores them as a knowledge base with RAG retrieval. All agents and AI-response fact-checks lean on the same KB.
After publishing via Content Lab, we automatically measure cluster visibility at +3, +7 and +14 days. You see how site citations grew, whether new brand mentions appeared and if the position vs competitors moved.
Yes. We have an MCP server — a “Visiobrand” connector appears inside Claude.ai and ChatGPT with 8 tools. You can ask about visibility, competitors and sources right inside the chat, and Claude/GPT returns a table from the platform. If MCP isn't a fit — there's a REST API and webhooks.