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LLM Mentions API for
AI visibility and GEO data

Track brand mentions and AI visibility across LLMs

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Tap into the largest database of millions of LLM prompts and petabytes of related data

LLM chats data

Measure AI brand visibility with aggregated LLM chats data

The DataFoSEO LLM Mentions API offers data that generating optimization specialists can use to track and improve brand visibility in AI answers. For software companies, the same data powers a new generation of AI visibility and generative-search tracking tools, turning raw mention data into products clients can act on. And by surfacing the domains and pages cited most often in AI responses, the API helps teams pinpoint the authoritative sources shaping those answers.

Search for domain or keyword mentions in LLM responses’ data

DataForSEO boasts a vast database of LLM responses from the most popular AI models, allowing you to search for the mentions relevant to a keyword or domain.

Use the Search Mentions endpoint to specify a keyword or domain and explore how and in which context they are mentioned in AI responses.

Measure AI visibility at scale with reliable prompt data

The Target Metrics endpoint provides a comprehensive overview of how often a certain domain or keyword was mentioned in LLM responses.

The data is grouped by location, language, LLM, and domains – so you can quickly assess how much traffic mention can bring and identify the domains that appear in AI responses for different prompts.

Compare how often different brands are mentioned in LLM responses

The Cross Aggregated metrics endpoint allows you to specify multiple targets to get mentions data for and set up a search scope for comparing multiple brands.

Use this endpoint to benchmark a brand against competitors by analyzing how different targets perform in AI mentions side-by-side.

Track domains and webpages that appear in AI responses

The Top Domains and Top Pages endpoints of AI Optimization API help identify the domains and pages that appear most frequently in LLM responses.

Power your Generative Engine Optimization (GEO) strategy by identifying the authoritative sources shaping AI responses in your industry.

Keep an eye on top brands mentioned in LLM answers

The Top Brands endpoint reveals which brands are cited most often in AI models’ responses across the topic or industry you specify in the API request.

Get a clear, ranked overview of who owns the conversation in LLM-generated answers and benchmark your brand against competitors.

Historical LLM Mentions

Historical LLM Mentions data for identifying trends and tracking GEO progress

Historical LLM Mentions endpoints let you move beyond a current data point and see how a brand, domain, or keyword’s presence in AI answers has shifted over time. Instead of measuring visibility on any given day, you can pull mention data across past periods to surface trends, spot when a competitor started gaining ground in LLM responses, and tie changes in AI visibility back to the cited content that drove them.

Analyze historical LLM Mentions data for domains, brands, or keywords

The Live LLM Mentions Historical endpoint returns month-by-month mention counts and AI search volume for any keyword or domain across Google’s AI Overviews and ChatGPT, with data going back to 2025.

Get a continuous timeline of how your brand surfaces in AI answers.

Track how AI visibility shifts over time

The Live LLM Mentions Timeseries Delta endpoint shows the change in mentions and AI search volume for any keyword or domain between two dates, grouped by day, week, month, or year, across Google’s AI Overviews and ChatGPT

Find out exactly how much your visibility in AI answers rose or fell between time periods.

Compare how often different brands are mentioned in LLM responses

The Live LLM Mentions Timeseries New and Lost endpoint shows exactly where your AI visibility is gained and lost over time. For any keyword or domain, it reports new and lost mentions with matching AI search volume for each period all the way back to 2025.

LLM mentions data

Lightweight endpoints for obtaining LLM mentions data quickly and without overhead

The Lite endpoints are built for when you want LLM Mentions data ASAP. Each returns the same core data – mention counts and AI search volume for your target keywords, domains, brands, categories, or pages across Google’s AI Overviews and ChatGPT, but trimmed to the essentials, skipping the heavier breakdowns. That makes them the fast, lightweight way to check AI visibility at a glance, ideal for dashboards, quick comparisons, and high-volume monitoring.

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DataForSEO LLM Mentions API Pricing

Rapid Results

LLM Mentions endpoints feature a turnaround time of up to 2 seconds

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Pay-as-you go pricing

You get full control over your spending and pay only for LLM Mentions data you use

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Integration support

Our 24/7 customer support team is with you every step of the way

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Pay As You Go Pricing

Request Settings

API Mode: LIVE

Real-time results with a single POST request

Your account will be billed for setting a task and retrieving its results, where one row in the results is the object containing data on a single domain or keyword mention with related data.

rows

Summary

Price per request $0.1
Number of requests 1
Price per row $0.001
Number of rows 1,000
$0.05

LLM Mentions data for your GEO use case

Whether you are a marketing software company looking to expand into AI visibility tracking, brand agency seeking to improve your customer’s online reputation, or a GEO enthusiast interested in sentiment analysis – DataForSEO LLM mentions API will provide a piece of a solution for your challenging use case.

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Generative search optimization (GEO) experts, who want to enhance AI visibility of their customers’ businesses.

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Software developers who want to build a new generation of tools for tracking generative search performance;

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Brand agencies that want to assess and improve brands’ perception and share of voice in LLM searches.

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Dive into AI Optimization with DataForSEO

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In this article, we break down the key similarities and differences between SEO and GEO, focusing on visibility tracking, keyword analysis, and setting KPIs.

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Use Cases for LLM Mentions API

In this article, we’ll explore how to use this API to pull and track LLM mentions effortlessly.

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Use Cases for LLM Mentions API

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Frequently Asked Questions

Can I pull AI search metrics for multiple domains, brands, keywords or products simultaneously?

Yes. The LLM Mentions endpoints of AI Optimization API support multi-target analysis for domains, brands, products, keywords and other entities. This option is useful for tracking AI visibility, as well as mentions, and citation performance across several competitors or any other entities you want to track in LLM responses.

How can I get LLM citation data with the AI Optimization Data API?

Citation data can be retrieved through the LLM Mentions API, which provides access to source references, text snippets, mentions, and more from ChatGPT responses and Google AIO. This data helps to analyze which websites get cited in AI answers and how often they appear.

Which LLM Mentions endpoints support historical data, and what is the cut-off date for it?

Three endpoints provide historical data: Historical Mentions, Timeseries New & Lost, and Timeseries Delta. The historical data in these endpoints is available up to 2025-08-01.

What is AI Search Volume in DataForSEO?

AI Search Volume is a metric for estimating demand for AI searches and prompts. It allows assessing which topics, questions, or keywords are more or less popular in AI search environments.

Can I use DataForSEO LLM Mentions data in a GEO tool I sell to my own customers?

Yes. Our pricing model is optimized for software builders, and most of our customers ship SEO and GEO tools that surface our data to their own end users. The specifics are in our Terms of Service. If you have a non-standard distribution model or an enterprise use case, our team is happy to talk it through.

What data sources are used in the LLM Mentions endpoints of AI Optimization API?

DataForSEO AI Optimization API and its LLM Mentions endpoints rely on various internal data sources and ptroprietary databases to provide data to users. Although we do not disclose our internal algorithms, it’s important to note that we do not use customer data (including customer API responses) in any of our products.

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