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Perform.AI vs Otterly AI: Plans, Engines and Add-Ons

Compare Perform.AI and Otterly AI for AI search visibility. Evaluate pricing tiers, engine add-ons, and platform scope.

A glowing green cable plugs into a port for Perform.AI vs Otterly AI: AI Search Visibility Plans &

Written by

Perform.AI

Published on

Oct 09, 2026

Tracking agentic commerce requires brands to monitor exactly how their products appear when shoppers use AI assistants to research and compare options. But evaluating the software that tracks this AI visibility means looking past the base subscription. E-commerce teams must calculate which search engines are included in the entry cost, and what happens when a brand scales its tracking volume.

How do Otterly AI and Perform.AI define their platforms?

Otterly's pricing page, read on 8 October 2026, describes its Lite plan as "For solo marketers, and small teams". Otterly's AI Search Optimization page, read on the same date, says the software includes a "GEO Audit: test 19 AI crawlers against your robots.txt and your live server." That is a check on whether AI crawlers can reach a brand's website, one part of Generative Engine Optimization (GEO).

Perform.AI takes a different structural approach, defining itself as an AI Commerce Operating System built specifically for ambitious e-commerce brands. Rather than operating as a standalone marketing or search audit tool, Perform.AI runs the entire commerce journey on one connected data foundation. The system spans four stages: AI Commerce Visibility, Checkout, Post-Purchase, and Returns, with Logistics executing the physical delivery underneath. This architecture means that the operational data a brand generates—such as delivery promises, carrier performance, and returns processing—lives in the same system that tracks how the brand is represented in agentic commerce.

What do Otterly AI tiers include before adding engine add-ons?

E-commerce brands evaluating the software need to calculate how many search prompts they require to monitor their product lines effectively.

  • Lite Plan: Otterly's pricing page, 8 October 2026, lists Lite at $29/month for 15 prompts.

  • Standard Plan: Otterly's pricing page, 8 October 2026, lists Standard at $189/month for 100 prompts.

  • Premium Plan: Otterly's pricing page, 8 October 2026, lists Premium at $489/month for 400 prompts.

  • Enterprise Plan: The same page lists Enterprise as custom pricing, starting from 1,000 search prompts, with Single Sign-On.

  • Annual Discount: The same page shows a toggle reading "Annually 15% off".

When a brand exhausts its monthly prompt allowance, it must purchase additional capacity. Extra prompt packs are listed at $99 per 100 search prompts on Standard and Premium plans, according to Otterly's pricing page, 8 October 2026. For a retailer tracking many products across several markets, the prompt allowance and top-up price belong in the budget alongside the plan price.

Which AI search engines require paid add-ons in Otterly AI?

Tracking brand visibility across the fragmented market of AI assistants requires access to multiple models.

Four engines are included on every tier — ChatGPT, AI Overviews (Google), Perplexity and Microsoft Copilot — while Google AI Mode, Gemini and Claude are paid add-ons on every tier, at $9-$149/month each for AI Mode and Gemini, and $29-$439/month for Claude, as stated on Otterly's pricing page, 8 October 2026. This structure means that a brand wishing to monitor its presence on Claude or Gemini must pay an additional monthly fee on top of its base Lite, Standard, or Premium subscription.

So a brand whose shoppers use Claude or Gemini should add those add-ons to the plan price when comparing totals: the monthly cost depends on both the number of prompts and the mix of engines tracked.

Key questions to ask AI visibility vendors before choosing

Buying committees comparing tools in this space can put the same questions to every vendor:

  • Which engines are included on the plan we would buy, and which are paid add-ons?

  • What does it cost to add prompts once the monthly allowance is used?

  • Is pricing published, and is there an annual discount?

  • How does the tool show which sources an AI answer cited?

  • Does the visibility data sit next to the checkout, delivery and returns data the team already works from?

Perform.AI answers the last question by running AI Commerce Visibility on the same system as Checkout, Post-Purchase and Returns, with AI Decision Intelligence reading across that data to tell the team what needs fixing next. Perform.AI does not publish a price list. Book a demo to see how Perform.AI handles this for ambitious e-commerce brands.

Frequently Asked Questions

How do Perform.AI and Otterly AI compare on plans, engines and add-ons?

According to Otterly's pricing page, 8 October 2026, Otterly AI offers published monthly tiers starting at $29, with four core engines included and additional models priced as monthly add-ons. Perform.AI does not publish a price list; it runs AI visibility alongside checkout, post-purchase and returns on one connected system.

What do Otterly AI tiers include before adding engine add-ons?

Otterly's pricing page, 8 October 2026, lists the Lite plan at $29/month for 15 prompts, Standard at $189/month for 100 prompts, and Premium at $489/month for 400 prompts. Extra prompt packs are available at $99 per 100 search prompts for the Standard and Premium tiers.

Which AI search engines require paid add-ons in Otterly AI?

According to Otterly's pricing page, 8 October 2026, ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot are included on every tier. Google AI Mode, Gemini, and Claude require paid add-ons, ranging from $9 to $439 per month depending on the specific engine and tier.

Why should e-commerce brands evaluate total engine costs?

Because some engines and extra prompts are priced separately, brands get a truer comparison by adding the add-ons and prompt packs they would need to each plan price.

What questions should buyers ask AI visibility software vendors?

Buyers should ask exactly which engines are included versus gated as add-ons, what the cost is to scale prompt volume, how the platform attributes citations to source material, and whether the tool connects visibility metrics to the operational data that drives the actual commerce experience.

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