The AI Visibility and AEO Tool Directory

This is a working directory of the main tools and services for answer engine optimization and AI search visibility. It is meant to be a living list that we keep up to date as the category moves, not a ranking. Nothing here is ordered best to worst. The goal is to describe what each option actually does, where it helps, and where it does not, so you can match a tool to your situation rather than chase a leaderboard.

The category splits roughly into four groups. There are monitoring and analytics tools that tell you where you stand across the answer engines. There are full-funnel platforms that try to cover insight, optimization, and activation in one place. There are execution platforms built to produce and publish work at scale. And there are managed services where a team runs the program for you. Most teams end up combining more than one, often a monitor paired with something that does the work.

Profound

Profound is the most established and best-funded name in the category. It positions itself around marketing agents that help brands win across the major answer engines, including ChatGPT, Perplexity, Gemini, Claude, Copilot, Grok, Meta AI, and Google AI Overviews. The core of the product is deep monitoring and analytics, covering answer engine insights, prompt volume estimates that show how often prompts are actually asked, shopping, and agent analytics, and the company is now adding agents that act on the data rather than only report it. It also publishes a steady stream of research that has helped define how people talk about the space.

• What it does well: The depth and breadth of measurement is the standout, paired with real credibility from its research and its customer base. It is reported to have raised about 96 million dollars at roughly a 1 billion dollar valuation, and is reported to be used by around 10% of the Fortune 500 with more than 700 enterprise customers
• Where it falls short: It is measurement-led, so the actual work of changing your visibility still falls to your team. There is no built-in connection to revenue, pricing sits at the premium end, and the company is sales-led and does not publish pricing
• Best use cases: Large brands that need rigorous, broad measurement across every major answer engine and want research-grade insight to guide strategy
• Who it is best for: Enterprise marketing teams with the staff to act on what the data tells them, where deep measurement justifies premium spend. It is overkill for small teams

Evertune

Evertune is a full-funnel platform built around the idea of owning the AI customer journey rather than only watching it. It has four parts. The first is user insight drawn from real AI search behavior and prompt volumes through a consumer panel the company says spans more than 150 million prompts. The second is organic optimization with competitor intelligence across the major platforms. The third is content activation to create and publish content for AI. The fourth is advertising, including a newly launched agent for placing ads inside ChatGPT. It is reported to start around 3,000 dollars a month, and the company does not publish pricing. It has drawn press coverage in Fortune.

• What it does well: The consumer-panel data is a real differentiator, and the focus is on how a brand is perceived and framed rather than only whether it shows up. The full-funnel reach and the early move into AI advertising set it apart
• Where it falls short: Breadth can come at the cost of depth against a more focused tool, the advertising piece is new and unproven, and it is still a tool you operate yourself
• Best use cases: Brands that care about framing and perception in AI answers and want insight, optimization, and advertising under one roof
• Who it is best for: Mid-market and enterprise teams that want a single platform across the funnel and are comfortable being early adopters of AI advertising

AirOps

AirOps is an execution-led growth platform rather than a monitor. It is built around workflows and agents that produce, refresh, and publish content at scale across both Google and the AI engines, with a content engineer framing that treats content as something you build and maintain systematically. The product is demo-led. Its own reported case studies point to concrete outcomes. Webflow lifted content refresh velocity fivefold, AirOps reports longtail pages it builds converting up to 79% better than generic category pages, and Chime went from being cited in 24 priority questions to 68.

• What it does well: Execution at scale is the core strength, backed by concrete results, and it pairs velocity with structure so the output is not just more pages but better-organized ones
• Where it falls short: Output is only as good as the strategy behind it, it is lighter on deep measurement and is often paired with a separate monitoring tool, there is a learning curve, and there is no built-in connection to revenue
• Best use cases: Teams that already know what they want to say and need to produce and refresh a lot of content across Google and AI engines without adding headcount
• Who it is best for: Growth and content teams with a clear strategy who want a system that does the heavy lifting of production and publishing

Otterly

Otterly is an accessible AI search monitoring tool aimed at getting you started quickly. It tracks brand mentions and website citations across ChatGPT, Perplexity, Google AI Overviews, AI Mode, Gemini, and Copilot, and adds prompt research and analytics such as brand mentions, average position, and competitor benchmarking. It has a free trial, is easy to get going with, is rated about 4.8 out of 5, and says it serves more than 30,000 marketers.

• What it does well: It is the easiest and most affordable way to start, with low setup and a clear view of where you stand. For a first look at your AI search presence it is hard to beat on simplicity
• Where it falls short: It is built for monitoring, so it tells you where you stand more than it helps you change it, and it has less depth than the enterprise platforms
• Best use cases: A first read on AI search visibility, ongoing mention and citation tracking, and lightweight competitor benchmarking
• Who it is best for: Smaller teams and marketers who want to understand their position quickly and cheaply before committing to anything heavier

Peec AI

Peec AI is AI search analytics built for marketing teams and agencies. It tracks visibility, position, and sentiment across AI platforms, and adds prompt tagging and tracking across countries so you can organize and segment what you are watching. It offers a free trial and says it serves more than 2,000 marketing teams across both brands and agencies.

• What it does well: The analytics are clean, prompt tagging helps you stay organized, and multi-country and multi-brand tracking make it a good fit for agencies or anyone managing several brands at once
• Where it falls short: It is analytics-focused, so the doing stays with you, and it is lighter than the enterprise platforms on scale
• Best use cases: Agencies and in-house teams running several brands or markets that need organized, segmentable visibility tracking
• Who it is best for: Marketing teams and agencies that want clean multi-brand, multi-country analytics without enterprise-level cost or complexity

Petra Labs

Petra Labs is a managed service rather than a tool you operate. A team runs the whole AEO program for you across content, press, and social, paired with the company's own platform. It is premium and built for the enterprise, a smaller and newer name without the track record of the established platforms, and it is distinctive in working toward connecting AI search activity to revenue rather than stopping at visibility metrics.

• What it does well: The work is done for you end to end, which suits a company that would rather hand the program off than learn and run a tool. The push to tie AI search activity to revenue sets its goal apart from pure measurement
• Where it falls short: Pricing is premium, the company is newer and smaller than the established platforms, and it is the wrong fit for most teams who want a tool rather than a service
• Best use cases: Enterprises that want their AEO program managed across content, press, and social without staffing it internally
• Who it is best for: Companies that prefer to outsource the whole effort to a team and have the budget for a premium managed engagement

How to read this directory

Match the option to where you actually are. If you need to understand your position, start with a monitor like Otterly or an analytics tool like Peec AI. If you need to produce and publish at scale, AirOps is built for that. If you want broad, research-grade measurement, Profound leads on depth. If you want insight, optimization, and advertising in one place, Evertune covers the full funnel. And if you would rather not run any of it yourself, Petra Labs hands the work to a team. Most mature programs combine a monitor with something that does the work, because measurement alone does not move your numbers.

Frequently asked questions

Q: Do I need more than one of these tools?

A: Often yes. Monitoring and analytics tools tell you where you stand but do not change your visibility, so teams frequently pair a monitor with an execution platform or a managed service that does the actual work.

Q: What is the cheapest way to get started?

A: A monitoring tool with a free trial, such as Otterly or Peec AI, is the lowest-cost way to see where you stand before committing to a heavier platform or a managed engagement.

Q: Why do some of these tools not publish pricing?

A: The enterprise, sales-led options like Profound and Evertune scope and price each engagement individually, so they quote rather than publish. The more accessible monitoring tools tend to be more transparent and offer free trials.

Q: What is the difference between a tool and a managed service?

A: A tool gives you software to run yourself, so the doing stays with your team. A managed service like Petra Labs supplies a team that runs the program for you, which costs more but removes the operating burden.