Measures AI visibility
See how often your brand appears for selected prompts, how its share changes, and which topics make it lose the user's attention.
AI Search Visibility · LLM Monitoring · AEO/GEO
See what AI says about your brand
LLM Control turns an invisible channel into a measurable system: define the questions your customers ask, collect AI-search answers regularly, and see whether your brand is mentioned, who ranks above it, which pages get cited, and what to improve next.
5 AI systems in one projectResponses and citations in historyPrompt × provider without a manual spreadsheet
Live walkthrough
What one monitoring cycle looks like
demo
Your questionrun_2026_09_14
The system sends the same commercial question to selected AI providers so the comparison stays repeatable and fair.
AI responsebrand found
ChatGPTPerplexityGoogle AIGeminiClaude
Share of Voice78%
Visibility Analytics
Visibility trends, Share of Voice and positions by period
Responses & Citations
Full model responses and the sources they cite
Prompt Hub
One prompt set for repeatable measurements and comparisons
One operating loop
What LLM Control actually does
It is not just another report. It covers the full cycle of observing brand presence in generative search — from the question you choose to the task your SEO or content team can act on.
Saves real responses
The result is not reduced to a green or red indicator: the full answer stays available for review, comparison and team discussion.
Breaks down citations
See which URLs and domains the model used as sources, which competitor pages get cited, and where your site lacks supporting evidence.
Compares competitors
The system collects brands appearing alongside you, making it clear who owns the category, prompt or position in the answer.
Runs a Prompt Hub
Store tagged questions, run them across selected AI systems, and see progress for every prompt × provider pair.
Builds history and reports
Repeat runs become history: filter by period, LLM and prompt tags, then export conclusions for your team or client.
Questions it answers
What stops being a guess
LLM Control is for the moment when Google rankings are no longer enough, while claims about AI visibility still rely on isolated manual checks.
Do AI systems recommend my brand?
Check your brand in the real customer wording: recommendations, comparisons, roundups and high-intent product questions.
Who appears instead of me?
Responses preserve competing brands, so you see the actual participants taking attention in your category.
Which pages does AI cite?
Citation history shows URLs and domains from responses, separating a simple brand mention from a source the model actually used.
Why am I mentioned but not chosen first?
Comparing positions, response wording and Share of Voice helps identify gaps in relevance, completeness or trust.
How do I check many prompts without manual work?
Add prompts once, tag them by topic and run the same set across selected providers from Prompt Hub.
Does visibility change over time?
Saved runs create history by period, provider, prompt and tag, turning one-off observations into a trend.
What can I show a manager or client?
Export visibility summaries, charts, competitors, mentions, positions, citations, responses and usage ledger to XLSX or PDF.
Is this a replacement for an SEO rank tracker?
No. A rank tracker tells you where a URL ranks in search; LLM Control tells you how an AI system forms a recommendation and which sources enter the answer.
From setup to action
How it works in practice
You control the measurement method; collection and normalization follow the same repeatable workflow.
01
Create a project
Add your brand, websites, aliases, industry and target topics — the shared context for analysis.
02
Add prompts
Write questions as a customer would and tag them: category, product, comparison or region.
03
Choose AI systems
Run the same set across available providers so a single model's behavior is not mistaken for a market change.
04
Read the trend
Compare runs, citations, positions and competitors, then turn the gap into a page or content task.
A new operating metric
LLM Control complements SEO — it does not hide it
Classic SEO monitoring
- —URL position for a keyword
- —Clicks, impressions and technical errors
- —One search result page and its familiar factors
- —The report usually ends with a page diagnosis
LLM Control
- Brand presence inside a generated answer
- Position among recommendations and Share of Voice
- Which sources and URLs the model cited
- Competitors, full responses and trends across AI systems
- A direct bridge from observation to an AEO/GEO hypothesis
Who benefits and why
SEO and GEO specialists
Get a measurable surface for AEO/GEO work: which prompts decline, which pages need review and how to evaluate changes.
Content teams
Understand which facts and answers a page lacks, which sources are trusted, and why a competitor becomes citeable.
Marketing and leadership
Discuss a new part of the funnel using clear metrics instead of 'AI seems not to like us': trends, prompts, positions and sources.
Audit the page first, then track the outcome
AI Readiness answers 'is this page ready to be found, understood and cited?'. LLM Control answers the next question: 'what is actually happening to our brand in AI responses?'. Together they connect page diagnosis with market observation.
Open AI ReadinessLearn AI search without the noise
SEO Control's blog covers practical questions about visibility, model responses and citations: what to measure, how to read the result and which changes are worth making.
Read LLM visibility articlesFAQ
Common questions about LLM monitoring
What is LLM Control in simple terms?
It monitors how generative AI systems answer questions about your company, product or category. It shows brand mentions, relative positions, competitors, cited sources and changes over time.
Which AI systems can I compare?
The project supports runs across five AI systems, including ChatGPT, Perplexity, Google AI, Gemini and Claude. Availability depends on the current server configuration and provider response.
Do I need to copy responses into a spreadsheet?
No. Prompt Hub sends selected prompts to selected systems, saves normalized results and connects them to the project, tag and run history.
Can I measure citations, not only mentions?
Yes. Responses and Citations separate the answer text from its sources, so you can see whether the brand was named and which domain or URL supported the answer.
Will it tell me what to fix on the site?
It shows where the gap appears, which competitors are present and which pages get cited. For a deep audit of a specific page, use the linked AI Readiness tool for a technical and content improvement brief.
How often should I run monitoring?
It depends on how quickly your category changes. The important part is keeping prompts consistent and comparing regular runs so you see a trend, not a random difference between two answers.
Can I use LLM Control for client reporting?
Yes. Analytics includes filters, charts, history, competitors, mentions, citations and full responses, with selected sections exportable to XLSX or PDF.
How is it different from AI Readiness?
AI Readiness is a one-off diagnosis of a specific page's retrieval and citation readiness. LLM Control is recurring observation of actual AI responses for a set of prompts and brands.
Do I need to expose a Bright Data key in the browser?
No. Data collection is managed by SEO Control's server, and keys are never requested from or sent by the user's browser.
Measure more than rankings — measure answers
Create a project, add a few real customer questions and get your first map of brand visibility in AI search.