AI Visibility Monitor

AI Visibility Monitor shows whether AI answers mention a brand, which competitors and sources they favour, and whether that is improving. It can also ask ChatGPT, Claude, Gemini or Perplexity a question directly and capture what the ChatGPT or Gemini app shows a user.

It replaces manual prompt checks and disconnected spreadsheets with comparable evidence. Results keep the AI dataset, market, language, observation time and demand estimates, so measured visibility is never mistaken for a guaranteed ranking.

What you can do

brand_visibility and compare_competitors — mentions, demand and share for one brand or a set
mention_search — read the sampled questions and answers that mention a brand or cite a domain
mention_history and visibility_trends — monthly mentions, new and lost mentions, or the net change between dates
top_brands, top_cited_domains and brand_categories — who AI answers name and cite for a topic
citation_opportunities — the pages cited most for a topic
prompt_demand — which conversational prompts have meaningful demand
llm_answer — ask one AI model a prompt and get its answer, sources and token use
chat_answer_snapshot — the answer, sources and brands the ChatGPT or Gemini app shows for a prompt

Who it's for

SEO and communications agencies, brand teams, founders and content strategists who need repeatable AI search evidence and client-ready comparisons.

How to use it

Measure the brand with brand_visibility in one dataset and market, then compare_competitors
See who wins the topic with top_brands and top_cited_domains, and read real answers with mention_search
Spot-check live answers with llm_answer or chat_answer_snapshot
Track change with mention_history or visibility_trends over equivalent date windows

Getting started

Call brand_visibility with an exact brand name, then keep the same platform, language and market when comparing competitors or measuring change. The answer, snapshot and mention lookups run as background jobs. Capture Google AI Overview and AI Mode answers and their cited references with the optional LiteScrape actions. A snapshot can be absent or vary by location and time; it is not a historical visibility score.

Google AI Overviewpaid

Retrieve the Google AI Overview for a query, including ordered answer blocks and cited sources when Google publishes an overview.

Returns: Source results, available pagination tokens, selected provider and observation time

Google AI Modepaid

Ask Google AI Mode a question, inspect cited references and optionally continue the conversation or supply an image prompt.

Returns: Source results, available pagination tokens, selected provider and observation time

Measure Brand Visibilitypaid

Measure one exact brand across an AI answer dataset with mention totals, estimated demand, source domains, and related entities.

Returns: Brand mention totals, demand estimates, cited domains, related brands, and observation scope

Compare Competitor Visibilitypaid

Compare two to ten named brands in the same AI answer dataset and calculate each brand share within the requested comparison set.

Returns: A sorted competitor table with mentions, demand, and share across the requested brands

Find Citation Opportunitiespaid

Find pages most frequently cited in AI answers for one topic, with mention and estimated demand evidence for content planning.

Returns: Frequently cited pages for the topic with mention, demand, and source evidence

Measure AI Prompt Demandpaid

Estimate current AI search demand and historical trend for up to fifty conversational prompts before investing in content.

Returns: Prompt-level AI demand estimates and trend data for prioritizing content

Track Visibility Trendspaid

Track newly gained and lost brand mentions plus demand changes across an explicit date range using equivalent observation settings.

Returns: A dated series of new and lost mentions and corresponding demand changes

Search AI Mentionspaid

Read sampled AI questions and answers that mention a brand or cite a domain, with sources, other brands named and demand. Runs as a background job; poll get_job_result until it completes.

Returns: Sampled AI answers mentioning the brand or citing the domain, with sources and demand

AI Mention Historypaid

Month-by-month AI answer mentions and estimated demand for a brand or a cited domain, from August 2025. Runs as a background job; poll get_job_result until it completes.

Returns: Monthly mention counts and estimated AI search volume

Information

Price: From $0.01
Billing: The final price is shown before running. Failed paid calls do not charge.
Providers: LiteScrape, DataForSEO
DataForSEO API Login: API login from the DataForSEO API Access page; this is usually your account email. · Get key
DataForSEO API Password: Generated API password from DataForSEO; it is different from your account password. · Get key
LiteScrape API Key: Optional provider for public search, places, reviews, storefronts and rendered pages · Get key

Example workflows

Compare brand visibility and cited sources

Measure one brand in a fixed AI-answer dataset, compare named competitors, and inspect the pages being cited.

Call `brand_visibility` with an exact brand, platform, language, and market.
Run `compare_competitors` with the same scope so the share calculation stays comparable.
Use `citation_opportunities` and `prompt_demand` to identify source patterns and observed conversational demand.

Frequently Asked Questions

What does AI visibility measure?

It measures observed brand mentions, estimated prompt demand, source domains, related entities, and new or lost mention signals in the selected DataForSEO AI-answer dataset. It is evidence from that dataset, not a guaranteed rank.

Can I compare my brand with competitors?

Yes. `compare_competitors` accepts two to ten exact brand names and calculates each brand’s share within that requested comparison set while keeping the market, platform, and language fixed.

Which AI platforms and markets are supported?

The current tools expose Google AI-answer and ChatGPT mention datasets. ChatGPT observations are currently limited to the United States in English, and LLM mention history starts on 1 August 2025.

Can it tell me which pages AI answers cite?

Yes. `citation_opportunities` returns the pages and domains most often cited for an explicit topic so a human can inspect source patterns before planning content.