AI visibility measures how often your brand and content are mentioned in AI-powered search results across platforms such as ChatGPT, Google AI Mode, and Perplexity. It helps you understand your visibility in the evolving AI search landscape and compare it to competitors.

Traditional SEO focuses on rankings on standard search engine results pages (SERPs) and on measuring clicks, impressions, and rankings. AI Visibility measures the visibility of AI-generated answers, enabling users to find information without clicking through to websites, and requires new metrics such as brand mentions and citation frequency.

AI Visibility tracks ChatGPT, Google AI Mode, Google AI Overviews, Google Gemini and Perplexity. You choose the platforms for each campaign.

Yes. Assist can list your AI Visibility campaigns and query their answers.

We use vetted third-party providers. They submit each prompt to the platform's public website, as a logged-out user in the chosen country. We store the answer that this user sees.

Data is updated weekly or daily, depending on your frequency settings.

We collect every answer from the platform's public website. API answers can differ from what users see, so we do not use them.
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There is no REST API. The Botify MCP server publishes the same tools as Assist and accepts a Botify API key.

We use LLM knowledge to:

Your confidential data is not used to train LLMs nor shared with other customers.
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Each platform supports a fixed list of countries; Google AI Mode covers 239 countries. The campaign form disables a platform when the country is not on its list.

Yes. Open the Query fan-out page (ChatGPT only), or open an answer to see its fan-out queries.
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AI platforms do not provide first-party data; therefore, AI visibility is the best proxy available. Building prompts using your GSC data improves the relevance of the AI visibility results. See “Do we see any differences between the scraped content and API content?”
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Strategic pages, as shown in the AI Discoverability report, are those that generate 500 or more GSC impressions. You should focus on having these pages retrieved by LLMs.
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Retrieval is when the ChatGPT-User and Perplexity-User bots visit a site during a user query.

Yes. Select Google AI Overview when you create or edit a campaign.
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The data on the AI Discoverabillity page shows a comparison of LLM activity vs. pages with impressions on Google SERPs from GSC. Strategic pages (i.e., those receiving 500+ impressions in GSC) should also see a high volume of activity from LLMs. Drill into these charts to investigate the strategic pages that LLMs are not retrieving, followed by pages that received between 100 and 500 impressions.

The percentage of answers mentioning your brand aggregated across LLMs (e.g., when the brand is visible in a single ChatGPT prompt but not Perplexity, visibility = 50%).

The number of visits comes from your integrated logs, identified by referral data and ?utm_source=chatgpt.com entries (only available for ChatGPT).

By exact URL

An LLM performs sentiment analysis.

Yes. Use the CSV export button on the Answers, Brands, Query fan-out, Citations and Discoverability pages.

Yes. In Top GSC Keywords campaigns, an LLM removes prompts that are not relevant to your brand. A moderation model removes unsafe questions. Category and CSV campaigns keep all their prompts.

They should not capture or store prompts for future model training, as we are using licensed models under our license terms. Botify cannot warrant actions of third parties we do not control, but those entities are contractually required not to use the data. Refer to our Terms of Use for Botify GenAI Features for more information.

An answer is the combination of a prompt, a platform, date, and country, since a prompt can be run multiple times across each. The “Answers” page displays the list of prompts in the first column. For each run, we retrieve the overall response from ChatGPT, Perplexity, and Google AI Mode, which may vary. This means there may be duplicate prompts, but when considered with the platform and country, each is unique. You can click on a row for more details and see the platform’s full response.

A run starts one hour after the last campaign change. Each period (a week, or a day, based on settings) allows one extra run on top of the scheduled one. Later changes wait for the next scheduled run. Refer to Managing AI Visibility Campaigns for more information.

Each project runs on a fixed slot: once weekly or daily, based on your settings. The Campaigns page header and the left-hand navigation show the next run date. Refer to Managing AI Visibility Campaigns for more information on data updates.

We take the top keywords by clicks over the last 60 days. Each PAA question expires after 90 days. We then rebuild it from the current top keywords.

Since we do not have first-party data from AI search engines, we need to find effective directional prompts. "People also ask" shows popular queries from Google search, which are different from what you would ask ChatGPT, but still a good indicator of your visibility (i.e., the "directional" part).

It depends on how much the top keywords are changing over time:

We use an LLM to generate up to ten topics and up to three broad topics per prompt. We compute topics once per prompt and reuse them for 90 days, not at every run.

AgenticCatalog writes these numbers in answers to identify its sources. The Cited Domains card lists the sources collected.

The competitive analysis shows how your brand compares to competitors across AI platforms. You can build up to ten competitor sets to track of up to ten brands each. Discover the brands that the answers mention but that you do not track yet.

An LLM analyzes the answers to detect brands. You can add your main competitors for SoV computation in Settings › Brands, and with competitor sets in Settings › Competitor sets.

Yes, for every brand, competitors included. To fix a grouping, edit the brand's aliases in Settings › Brands.

Mentions refer to your brand appearing in the AI Search Result; citations refer to the client domain appearing in the AI Search Result.

An LLM determines if your brand is mentioned in the answers by evaluating all brands in the answer against your brand and its aliases, ignoring case.

Partly. At setup, if a project has no secondary brand names, an LLM takes them from its branded keywords. Those names then count as your brand.

No, brand names are not case-sensitive in brand mentions.

PAA is used for top keywords, but not for categories. We use “People Also Search For” (PASF) first, then an LLM to generate category prompts.

We use PASF to identify related keywords, then an LLM to generate prompts based on those keywords. See more about how we generate topics.

An LLM evaluates intent as follows:

There is no average campaign size. Prompts are distributed equally across all campaigns by default. You can adjust this distribution using sliders to increase or decrease the percentage allocation for each campaign.

Each campaign has its own size. Together, your active campaigns must fit your plan's answer budget. In Manage Campaign Distribution, move the sliders to resize Top GSC Keywords campaigns. Or click Distribute evenly to split the remaining budget between them.

The number of keywords is dynamic and adaptive. We fetch as many keywords as necessary to generate the configured number of PAA questions.

The country flag is the country where we asked the question to the LLM. A prompt in the same language but in different countries will not produce the same answer, depending on your location. Since we do not force the answer language when we submit the question, the LLM may answer in the same language as the question or in the language of the original keyword or category. This can produce unexpected results by returning answers in a language not native to a country (e.g., Italian in France).

It is a snapshot of the top-performing keywords by clicks over the last 60 days.

You can use segmentation-style groupings with AI Visibility, but it’s done through Campaigns rather than the “segments” filters you use in Botify Analytics reports. In AI Visibility, you track and filter results by campaign, and each campaign can be built from different prompt/keyword sources, including your website categories.