Introduction

Visibility tracking has become table stakes for AEO tools. Every platform lets you monitor your brand's presence, analyze share of voice, and see where you stand against competitors in AI search. As a result, pure-play visibility software has become saturated quickly. The more interesting question is what each platform does beyond monitoring.

A handful have expanded meaningfully past tracking. Some generate content. Some deploy autonomous marketing agents. A smaller group connects visibility improvements to pipeline and revenue. We evaluated 10 AEO platforms on what happens after you see the data.

How We Categorized The Platforms

We grouped the 10 platforms into three categories based on what they do beyond visibility tracking.

Group 1: Pure-Play Visibility Tracking

Platforms that enable teams to monitor presence, sentiment, and citations across answer engines. These vendors surface visibility data; they don't act on it.

Group 2: Visibility Tracking + Custom Attribution

Platforms that combine multi-engine monitoring with marketing mix modeling, tying AI search visibility to site traffic, pipeline, and revenue.

Group 3: Visibility Tracking + Marketing Agents

Platforms that pair monitoring with autonomous agents for content creation, optimization, and publishing.

A Brief Comparison

How We Evaluated The Platforms

Does it enable real revenue outcomes?

Monitoring is an important and necessary part of any AEO program. But if a platform can't connect visibility improvements to new customers, you're still just guessing at value. We looked at whether each platform provides attribution, and how deep those capabilities go.

Does it do the work, or just report on it?

There is a growing divide between platforms that surface recommendations and platforms that execute on them. We noted which platforms stop at data, which generate content, and which operate as an extension of your team.

What are the real shortcomings?

Every vendor downside in this article comes from real user reviews: G2, Capterra, and independent third-parties. Where reviews are inconclusive, we say so.

Visibility Tracking + Custom Attribution

Petra Labs

Best For: Teams that want AI search to function as a measurable growth channel, not just another dashboard.

Petra Labs combines proprietary software with hands-on execution and custom attribution modeling. Petra is built around a single thesis: visibility in AI search is only useful if you can tie it to new customers and revenue.

What Stands Out:

• Attribution that connects visibility to revenue. Petra Labs builds custom marketing mix models, enabling its customers to understand the revenue impact of the interventions Petra executes across owned media, earned media, and social media. It's the only platform in the market that provides revenue attribution at scale.

• Full-stack execution, not just recommendations. Petra operates as an extension of your team; producing content, earning placements in high-value and arbitrage earned media, and building your social strategy across Reddit, LinkedIn, YouTube, and other platforms.

• Exclusive partnership model. AI search is a zero-sum game. When one brand increases in visibility for a given segment, another declines. Because of this, Petra only works with one client per competitive set, meaning competitors can't buy the same playbook.

Trade-offs:

• Higher-touch than self-serve tools. Petra Labs offers an engaged partnership model. This is not a dashboard you log into once a month. Teams that prefer a lightweight monitoring tool should look into Group 1.

• Category exclusivity works both ways. Because Petra only takes one client per competitive set, access depends on whether a competitor in your space is already engaged. If Petra already works with your competitor, alternative solutions may be a better fit.

Pricing: Custom, with most customers paying between $15K and $50K per month.

Pure-Play Visibility Tracking

Otterly AI

Best For: Small teams who want a lightweight monitoring tool and are comfortable handling optimization in-house.

Otterly AI is a pure-play visibility tracker, with an entry-priced GEO audit that reviewers consistently praise. It's one of the easiest ways to start tracking AI search, but also one of the most limited once you want to act on the data.

What Stands Out:

• Detailed GEO audit at an entry price. Otterly scores pages on 25+ factors and has been called "the most detailed analysis available at this price range". For teams running their first AEO audit, it's a reasonable starting point.

• Low-friction setup. Otterly is one of the easiest tools in the category to start with. Reviewers cite intuitive onboarding and a clean interface.

• Responsive support. Reviewers consistently cite Otterly as being highly responsive to customer complaints. For small teams new to AEO, that kind of access is a real advantage over larger platforms where you're routed through ticket queues.

Trade-Offs:

• Monitoring-only, no optimization tools. The most consistent criticism across independent reviews (Rankability, ContentMonk, ZipTie) is that Otterly tells you where you're invisible but gives you nothing to fix it. You'll need separate tooling or an agency to act on what the audit surfaces.

• Limited analytics or CRM integrations. GA4, GSC, and CRM integrations are limited (if available at all), meaning no path from tracked visibility to site traffic, conversions, or revenue.

• Data refreshes weekly. AI search results shift daily (sometimes hourly) but Otterly updates on a weekly cadence, meaning the data you're acting on can be a week stale in a market that moves constantly.

Pricing: Tiered pricing including $29/mo (15 prompts), $189/mo (100 prompts), $489/mo (400 prompts), and custom.

Goodie AI

Best For: E-commerce and DTC teams that want monitoring with light optimization bundled in.

Goodie AI is the AEO platform from NoGood, which combines monitoring with a capped set of optimization actions (AEO writer, outreach agent, social agent, technical agent).

What Stands Out:

• Agentic commerce coverage. The platform includes coverage of AI shopping surfaces like ChatGPT Shopping and Amazon Rufus alongside standard engines.

• Optimization actions beyond tracking. Goodie's agents are available for all pricing tiers, capped at 10-60 actions per month by plan. Not full execution, but better than what pure-tracking peers offer.

• Built-in prompt research. Goodie offers a module for identifying which AI queries matter most for your category.

Trade-offs:

• Weak data portability. Limited API and export options, and reviewers cite weak integrations across the board. Data stays inside Goodie, which makes attribution and cross-tool analysis difficult.

• No AI crawler logs, no citation or content gap analysis. Features that are standard in several competing platforms are missing, including visibility into when AI bots crawl your site, and which sources the engines cited for specific prompts.

• Entry tier is restrictive. Explorer at ~$495/mo covers only 3 of the 11 advertised engines and ships with email-only support. The full coverage is gated behind Pro ($645/mo) or Enterprise (custom).

Pricing: Tiered pricing including ~$495/mo (3 engines, 100 prompts, 1 brand), Pro ~$645/mo (6 engines, 250 prompts), enterprise custom (11 engines, 500+ prompts)

Conductor

Best For: Marketing teams who want AI search tracking added on to their existing SEO program (and not a purpose-built AEO platform).

Conductor is a legacy enterprise SEO platform (founded 2006) that has layered AI search capabilities onto its core product. The AI Search Performance module tracks visibility across five major engines, AgentStack provides turnkey agents for content and technical optimization, and ContentKing (acquired 2024) adds real-time technical monitoring.

What Stands Out:

• Unified SEO and AEO in one platform. Conductor has been an enterprise SEO platform since 2006, with G2 4.5/5 and a 2025 Forrester Wave Leader placement.

• Real-time technical site monitoring. 24/7 site auditing surfaces technical issues including schema and structure regressions that impact AEO.

• Automation for recurring optimization work. Turnkey agents handle recurring content and technical tasks, moving beyond the 'surface-and-flag' pattern typical of pure-tracking tools.

Trade-offs:

• AEO is bolted on. Reviewers consistently describe Conductor as a platform built for traditional SEO with AI features layered on top, not one designed for AI specifically. Product updates are also less frequent than many of its AI-native competitors.

• Integration and UI friction. Reviews flag limited insights without Google Search API and Adobe Analytics integrations, putting the implementation burden on your dev team. Users also describe the interface as difficult to navigate with features split across disconnected modules.

• Limited attribution capability. Conductor measures AI citations and site visibility, but doesn't connect either to pipeline or closed revenue. Teams looking to connect AI visibility to new revenue will need to build that layer separately.

Pricing: Custom, with typical contracts ranging from ~$24K to $100K+/year, with enterprise tiers higher. AI Search module may require an add-on.

Writesonic

Best For: Content marketing teams that need AI content generation at volume and want basic AI search visibility layered on top.

Writesonic is primarily an AI content generation platform that added an AEO tracking module as a secondary function. It's best understood as a content engine with visibility tracking attached, not a dedicated AEO platform.

What Stands Out:

• Strong content generation core. Writesonic's primary offering is long-form AI content creation (articles, product copy, landing pages, etc.). Teams executing on AEO recommendations often use it as a production engine alongside a dedicated tracking platform.

• Bundled content and tracking in one subscription. The AEO module shares a subscription with the content engine, which simplifies billing and workflow for teams running both functions.

• Accessible entry pricing for content and tracking. AEO features activate at $199/mo (Professional tier), an order of magnitude below most purpose-built enterprise AEO platforms.

Trade-offs:

• Surface-level AEO capabilities. Writesonic's AEO module (prompt-level tracking, limited citation analysis, competitive analysis) is very limited.

• Lower-quality AI content. Reviewers consistently note that unedited Writesonic output reads generic or "obviously AI."

• Complicated credit system. Writesonic runs on usage credits that different features consume at different rates. Teams are often surprised by mid-month usage caps.

Pricing: Tiered pricing including $49/mo, $79/mo, $199/mo (GEO features unlock here), $399/mo, and $1,499+/mo.

AthenaHQ

Best For: Teams looking for an AEO monitoring platform with light automated execution.

AthenaHQ is a purpose-built AEO monitoring platform that combines tracking with automation for audits, recommendations, and draft content.

What Stands Out:

• Purpose-built for AEO. AthenaHQ was designed specifically for AI search monitoring rather than extending an existing SEO product, which shows in its focus on AI-specific signals like citation probability.

• Light automation for gap analysis and drafting. Beyond monitoring, the platform includes automation that runs audit cycles and generates draft content recommendations.

• AI-assisted setup. Athena's platform uses AI to help configure which prompts, competitors, and personas to track, which lets teams stand up their first AEO program faster than platforms that require manual prompt engineering.

Trade-offs:

• Limited execution ability. AthenaHQ tracks visibility, citations, and competitive positioning but doesn't connect those signals to pipeline or closed revenue. Teams looking to understand what's driving customers from LLMs will need another tool.

• Cost structure creates friction. AthenaHQ runs on a credit-based usage model where every AI query consumes credits (tracking across multiple engines burns through them quickly) and the best features (citation prediction, persona targeting) are gated behind the $2,000+/mo Enterprise tier.

• Sentiment and competitive analytics are entry-level. Reviewers frequently describe Athena's sentiment scoring and competitive analysis as too basic to be actionable.

Pricing: Tiered pricing including $270/mo, $545/mo, and $2,000+/mo.

Scrunch

Best For: Teams that want solid AEO monitoring and citation intelligence, comfortable handling content generation and attribution separately.

Scrunch is a purpose-built AEO monitoring platform focused on visibility tracking and citation intelligence. The platform covers the monitoring and insights side of AEO well but doesn't extend to content creation or revenue attribution.

What Stands Out:

• Citation intelligence depth. Beyond visibility tracking, Scrunch provides citation-source analysis and page-level attribution, letting teams see which specific pages are driving AI citations and which sources are most influential across prompts.

• Multi-brand structure for agencies. Scrunch accommodates teams managing multiple brand accounts through per-brand subscriptions with multi-tenant controls.

• Insights module beyond basic monitoring. Scrunch layers AI search trend analysis on top of standard visibility tracking, surfacing patterns most tools don't.

Trade-offs:

• Limited content creation or optimization. Scrunch identifies where improvements are needed, but provides nothing to fix it (no drafting, optimization workflows, or content generation).

• Reporting and export gaps. Scrunch does not generate client-ready reports; users routinely resort to screenshots to share data externally, and export functionality is limited across most of the platform.

• Attribution in name only. Scrunch's platform includes "page attribution" but it is attributing AI citations to site pages, not connecting visibility to pipeline.

Pricing: Tiered pricing including $100/mo (ChatGPT only, 100 prompts, 1 user), $500/mo (8 engines, 700 prompts, 5 users), and enterprise custom. Agency plans from $500/mo.

Peec AI

Best For: Teams wanting a clean, fast-to-deploy AEO monitoring tool, comfortable handling strategic interpretation and execution separately.

Peec AI is a Berlin-based AI search analytics platform focused on clean dashboards and quick deployment. It covers monitoring basics (presence, positioning, citations, competitor benchmarking) across major engines, with a deliberately lightweight feature surface. No content creation or execution tooling.

What Stands Out:

• Fast setup and intuitive UI. Reviews consistently cite Peec's quick onboarding and clear dashboards as a real differentiator.

• Unlimited user seats on all plans. Peec doesn't charge per-seat, which makes it easier to involve broader teams in your AEO program without scaling costs. This is uncommon in the category.

• Hands-on support through onboarding and beyond. Reviewers repeatedly describe Peec's team as reactive to product questions and issues.

Trade-offs:

• Monitoring without revenue connection. Peec measures visibility, positioning, and citations but doesn't connect any of it to site traffic, pipeline, or revenue. Dashboard data without a business-case layer on top.

• Monitoring without strategy. Users frequently mention that Peec doesn't explain the "why" or recommend what to do. Teams need their own analysts to turn data into execution.

• Limited AI crawler data. Tracks citations but not how bots crawl your site. This is a product gap for teams measuring AEO efforts against real bot traffic.

Pricing: Tiered pricing including EUR 89/mo, EUR 199/mo, and EUR 499+/mo.

Visibility Tracking + Marketing Agents

Profound

Best For: Teams that want broad engine coverage and autonomous content agents, and are staffed with the analytics bandwidth to translate dense data into strategy.

Profound is an AI visibility platform that combines broad answer engine coverage with autonomous content agents for handling multi-step workflows (research, generation, optimization, and publishing).

What Stands Out:

• Autonomous content agents. Profound's marketing agents handle multi-step workflows end to end, with integrations across common CMS and collaboration tools. Execution is baked into the platform rather than left to dashboards.

• AI crawler and bot behavior analytics. Profound tracks how AI crawlers interact with your site content, giving teams visibility into which pages are getting crawled, how often, and by which bots.

• Clean user interface and experience. Profound's dashboard is designed for visual clarity, with a layout that stays approachable even as the volume of data grows; useful for cross-functional teams where not everyone is a dedicated analyst.

Trade-offs:

• Visibility and execution without the revenue layer. Profound measures AI visibility and executes content through its agents, but doesn't connect any of it to pipeline or closed revenue.

• Data volume without meaningful guidance. Reviewers consistently describe Profound as data-rich but interpretation-poor. Extracting next steps from the dashboards often requires dedicated analytics staff, and the platform itself doesn't excel at recommending actions. A recurring theme across independent reviews: "tons of data, but translating it into actionable steps is challenging."

• Execution is throttled at mid-tier. Profound's autonomous agents are the platform's most distinctive feature, but content generation is capped for the Growth tier. Teams needing consistent execution need to upgrade to Enterprise or supplement with outside production.

Pricing: Tiered pricing including $99/mo (50 prompts, ChatGPT only), $399/mo (100 prompts, 3 engines, 3 articles/mo), enterprise custom (~$2,000/mo+).

Bluefish

Best For: Teams that want narrative control in AI responses, brand hallucination monitoring, and direction on what content to update to improve AI citation probability.

Bluefish is an agentic marketing platform focused on AI monitoring, source-level citation analysis, and brand protection for AI hallucinations and misinterpretation.

What Stands Out:

• Narrative and sentiment analysis. Bluefish analyzes the context, sentiment, and accuracy of how models describe brands, including flagging when outdated or negative third-party content (a Reddit thread, an old YouTube video) is skewing AI responses.

• AI-ready content briefs. Bluefish's platform produces content blueprints specifying which facts, proof points, and language teams should update on their sites to improve AI citation likelihood.

• Brand protection against AI hallucinations. Bluefish monitors for misrepresentations and hallucinations about your brand across AI platforms and alerts teams when an AI system begins generating false or damaging information.

Trade-offs:

• Requires dedicated AEO staff to operate. Bluefish expects users to bring their own prompt strategy (no guided prompt library), interpret proprietary scoring systems, and implement high-volume content updates at enterprise pace.

• Attribution stops at visibility. Bluefish's Collections module closes the loop between marketing spend and AI visibility, showing which paid inputs drove citations. The platform doesn't track how those citations drive pipeline or closed revenue.

• Siloed from the rest of the stack. Users flag a limited API surface and restricted export options, making it difficult to move Bluefish data into CRM, analytics, or workflow tools.

Closing The Loop

Visibility is a crucial first step, but not the end-state. The vendors above all provide visibility platforms, and a few go further with content or agents.

One of the most important parts of AEO gets the least attention: tying visibility improvements to revenue outcomes. Petra Labs solves this complex problem through custom marketing mix models paired with full-stack execution across owned, earned, and social media.

If AI search is showing up in your buyers' journey, the question worth asking is whether it's showing up in revenue. Book time with the Petra Labs team here to learn more!

FAQ