The AI Visibility and AEO Tool Directory

This directory covers six AEO tools and services across four groups, monitoring, full-funnel platforms, execution tools, and managed services, describing what each one does and who it fits rather than ranking best to worst.

• The category splits into monitoring, full-funnel platforms, execution tools, and managed services

• Monitors tell you where you stand but do not change your visibility

• Most mature programs pair a monitor with something that does the work

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.

The six AEO tools in this directory, compared

The six tools and services in this directory by group, pricing, and fit, as of October 2026.

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, DeepSeek, Google AI Overviews, and Google AI Mode. 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 raised a 180 million dollar Series D at a 1.8 billion dollar valuation in September 2026, and says more than 2,500 brands, including a third of the Fortune 100, use it

• 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, and beyond a free seven-day trial, the platform is sales-led and quoted

• 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.

The published Pro plan is $800 a month, with enterprise pricing custom. 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 40,000 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

Petra Labs

Petra Labs, founded in 2025 and based in New York, combines visibility software with an operating team that runs AEO work for its clients. The team maps the prompts a brand should track, reviews strategy with the client weekly, and executes across owned media, earned media, PR, and social media management. The software tracks visibility at the product and plan level as well as the brand level. Petra also builds a custom attribution model for each client that separates AI-influenced traffic and revenue from the rest. It raised a $5.2 million seed round led by Work-Bench, and its public customers include Zapier, Rippling, and Four Seasons.

• What it does well: The work is run for the client, and attribution is modeled per client against that company's own revenue or bookings data, which goes past traffic and mention counts

• Where it falls short: There's no self-serve tier or published pricing, and every engagement is quoted custom

• Best use cases: Companies that want AEO handled across owned media, earned media, PR, and social media management without building an internal team for it

• Who it is best for: Teams that want AI search run end to end for them and need to report its effect on revenue

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 3,000 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

How to match an AEO tool to your team's gap

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'd rather not run any of it yourself, Petra Labs runs the work and models its effect on revenue. Most mature programs combine a monitor with something that does the work, because measurement alone does not move your numbers.

Frequently asked questions

Do I need more than one of these tools?

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.

What is the cheapest way to get started?

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.

Why do some of these tools not publish pricing?

The enterprise tiers of platforms like Profound and Evertune are scoped and priced individually, so those are quoted, though Evertune publishes a Pro plan at $800 a month and Profound offers a free trial. The more accessible monitoring tools tend to be more transparent and offer free trials.

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

A tool gives you software to run yourself, so the work stays with your team. A service supplies the people as well. Petra Labs, for example, pairs its software with an operating team and per-client attribution. Services cost more and take the operating work off your team.