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Perform.AI vs Semrush on AI Visibility Tracking

Compare Perform.AI and Semrush on AI visibility tracking. See documented limits, engines, and target audiences.

A green glowing tech console beside cables for AI Visibility Tracking: Perform.AI vs Semrush

Written by

Perform.AI

Published on

Oct 28, 2026

Shoppers are shifting to agentic commerce, relying on AI assistants to discover and evaluate products. To ensure their product lines appear in generated responses, brands are prioritizing answer engine optimization (AEO). Operations and digital teams evaluating e-commerce AI visibility platforms must assess whether a tool aligns with their specific scale, audience, and tracking requirements.

Who are Semrush One and the AI Visibility Toolkit built for?

Semrush's "What is Semrush One?" help page, read on 16 October 2026, states that the platform is "Built for teams big and small." The same documentation specifies that the AI Visibility Toolkit "is designed for monitoring one or a few domains."

Perform.AI is built for ambitious brands. It runs the commerce experience a brand's shoppers and their AI agents move through, from being found and recommended, through checkout, delivery, and returns. This unified approach means digital teams and logistics operations work from a single system on one set of connected data.

Which engines and reports does the AI Visibility Toolkit cover?

Semrush's "What is Semrush One?" help page, read on 16 October 2026, states that the AI Visibility Toolkit helps users "Discover how your brand appears in Google AI Overviews, AI Mode, ChatGPT, Gemini, and Perplexity."

Marketers using the toolkit receive data from these specific engines. Digital teams evaluating AI visibility providers should check that the tracked engines match the assistants their own shoppers use for product discovery, market by market.

How does Semrush capture prompt data and calculate visibility?

Semrush's "Where does the data in Semrush’s AI Visibility Toolkit come from?" help page, read on 16 October 2026, states that its data is powered by a collection of over 317 million prompts and responses on ChatGPT, Gemini, Google AI Overviews, and AI Mode, captured from real requests rather than LLM APIs.

Semrush's "AI Visibility Metrics" help page, read on 28 October 2026, defines AI Visibility as "A benchmark score (0–100) showing how often your brand appears in AI-generated answers compared to competitors." The same page defines Mentions as "The total number of prompts in which a brand is included in AI responses."

Perform.AI's AI Commerce Visibility module connects discovery metrics to the operational data that drives e-commerce. Because it runs on the same connected data as the brand's checkout and logistics operations, discovery can be read next to what happens after the order.

What are the published price points and tracking limits?

Semrush's "AI Visibility Toolkit: Boost Brand Visibility in AI Search" help page, read on 16 October 2026, states that the toolkit is priced at $99 per month for 1 project, 1 domain for Brand Performance, and 25 prompts for Prompt Tracking.

How far does a fixed prompt allowance go for an online store?

A prompt allowance is easiest to judge by writing the list before the demo. Take a hypothetical store with four product categories, selling in three countries, that wants to track two buyer questions per category in each market: that is 24 prompts before a single competitor or delivery question is added. Questions about shipping speed, returns and order tracking are exactly the ones assistants are asked late in a purchase, and they multiply across markets in the same way.

The practical test is simple. List the questions your shoppers actually ask, count them per market, then add the comparison questions that name your closest rivals. If the total sits close to a plan's limit on day one, it will pass that limit as soon as a new category or market launches.

Comparing documented specifications and tracking scope

When selecting a platform to track store AI visibility, digital teams should line up four things from each vendor's own documentation:

  1. Audience: who the vendor's own pages say the tool is designed for, and how many domains or brands that covers.

  2. Engines: which AI assistants are tracked on the exact plan being bought, not the full product.

  3. Data collection: whether answers are captured from real requests or generated through model APIs, and how often they refresh.

  4. Limits: how many prompts, projects and domains the plan includes before an upgrade is needed.

These documented parameters give a baseline for judging whether a tool meets a brand's tracking needs and operational scale, and they keep a sales conversation anchored to what is written down.

Key evaluation questions for selecting an AI visibility platform

Choosing the right infrastructure for agentic commerce requires objective evaluation. Digital and operations teams should ask any prospective vendor the following five questions:

  1. Who do your own product pages say this tool was built for?

  2. Which specific AI assistants and search engines are tracked on the exact plan we are purchasing?

  3. How many prompts, domains, and projects does this specific plan cover before requiring an upgrade?

  4. How are the AI answers collected, and how frequently does that data refresh?

  5. Who is notified, and through what mechanism, when a tracked visibility metric changes?

Find out what this looks like for your operation and book a demo.

Frequently Asked Questions

Who is Semrush AI Visibility Toolkit built for?

Semrush's "What is Semrush One?" help page, read on 16 October 2026, states that the AI Visibility Toolkit is designed for monitoring one or a few domains.

Which AI search engines does Semrush AI Visibility Toolkit track?

According to Semrush's "What is Semrush One?" help page, read on 16 October 2026, the AI Visibility Toolkit helps users discover how their brand appears in Google AI Overviews, AI Mode, ChatGPT, Gemini, and Perplexity.

How does Semrush collect AI visibility prompt data?

Semrush's "Where does the data in Semrush’s AI Visibility Toolkit come from?" help page, read on 16 October 2026, states that data is powered by a collection of over 317 million prompts and responses captured from real requests rather than LLM APIs.

What are the pricing limits of Semrush AI Visibility Toolkit?

Semrush's "AI Visibility Toolkit: Boost Brand Visibility in AI Search" help page, read on 16 October 2026, states the toolkit is priced at $99 per month for 1 project, 1 domain for Brand Performance, and 25 prompts for Prompt Tracking.

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