If you’re reading this, you already feel the shift. Search is becoming answers. Your buyers are asking ChatGPT, Claude, Perplexity, Gemini, Copilot, Meta AI—and even Google’s AI Overviews/AI Mode—what to buy, who to trust, and which link to click (if any). That’s GEO/AEO land: Generative/Answer Engine Optimization.

Over the past few months I ran a hands-on evaluation of three of the most talked-about GEO platforms—Goodie AI, Profound, and Peec—across real prompts, multiple models, and a mix of US/EU markets. Below is my honest review, tuned for SEO leaders, growth engineers, content/PR teams, and founders who care about visibility, accuracy, and revenue attribution in the AI era.

I’ll tell you where each tool shines, where it’s light, and when I’d pick it. Short version: all three are competent; one is clearly built to operate end-to-end at enterprise scale.

TL;DR

• Best overall for mid-market & enterprise, with the strongest action layer and broadest model coverage: Goodie AI. Friendly UI, global coverage, deep feature set (observability + agentic optimization). We saw measurable gains on complex prompt sets and across multiple models. Covers ChatGPT, Perplexity, Gemini, Claude, DeepSeek, Google AI Overview & AI Mode, Grok, Amazon Rufus, Meta AI, and Microsoft Copilot, all documented on their site.
  
  
• Strong enterprise contender with momentum and ample funding; excels at research and visibility analytics: Profound. Serious capital behind it, credible customer stories (Ramp, Statsig), and a growing feature set like Prompt Volumes, Agent Analytics, Actions, and Shopping coverage. Pricing starts at $499/mo for Lite; enterprise is custom. Model support now includes Claude, Meta AI, DeepSeek, Google AI Mode, Grok, etc.
  
  
• Best budget-friendly option, optimized for agencies and SMB teams: Peec. Clean UI, clear pricing, and fast time-to-value. Starter tiers track ChatGPT, Perplexity, and Google AI Overviews (AIO); you pay extra to unlock additional models like Gemini, Claude, DeepSeek, Llama, Grok, and AI Mode. HQ in Berlin, with fresh funding to move quickly.
  
  

How I evaluated

• Data fidelity: how well the platform mirrors real user behavior (vs. synthetic tests), and how transparent methods are.
  
  
• Coverage: models tracked, recency/citations behavior, country/language segmentation.
  
  
• Action layer: beyond monitoring—can it actually help me fix issues (content, technical, PR/earned)?
  
  
• Attribution: AI → sessions → pipeline/revenue (and how defensible that is).
  
  
• Enterprise readiness: SSO, auditability, integrations, support, and security.
  
  

Goodie AI Review

Bottom line: Goodie is the most complete observe → decide → act platform I’ve used. It combines robust monitoring with agentic workflows that actually move needles (content, technical, and earned). UI is approachable for content and PR, with the depth growth engineers want.

What Goodie is best at

1. Visibility & coverage breadth
   
   Goodie tracks across the models that actually influence buyers right now: ChatGPT, Perplexity, Gemini, Claude, DeepSeek, Google’s AI Overview and AI Mode, Microsoft Copilot, Meta AI, Grok, and Amazon Rufus. Their public “Models” directory lists this explicitly. In practice, this coverage matters because each engine cites differently and shifts often.
   
   
2. Global & multilingual workflows
   
   We ran prompts across multiple countries and languages. Goodie handled this without drama and kept results segmented cleanly. Their materials emphasize geo-language reporting for multi-market teams.
   
   
3. Agentic actions that go beyond dashboards
   
   The action layer wasn’t a bolt-on. We used Goodie’s multi-agent setup to:
   
   
   
   • generate AEO-ready content (summaries built for answer engines),
     
     
   • propose technical fixes (structured data/schema and internal linking), and
     
     
   • draft earned content outreach for closing source gaps.
     
     Not marketing fluff—these actions were the difference between “we see the problem” and “we shipped fixes this week.”
     
     
4. Attribution & crawler/agent analytics
   
   Tying AI visibility to traffic and assisted revenue is non-trivial. Goodie’s Traffic & Attribution and AI Crawler & Agent Analytics features were practical, especially when execs asked “what did this do for pipeline?”
   
   
5. Proof with case studies
   
   Public examples (e.g., SteelSeries, NoGood) point to measurable gains from AI search visibility work, aligning with what we saw in our tests.
   
   

Data collection approach (important nuance)

In onboarding, Goodie walked us through collecting real prompts and outputs via scrapers and direct API calls where feasible. Two benefits: (1) results matched what our team saw live in ChatGPT/Perplexity/Gemini, and (2) fewer surprises from synthetic tests that don’t reflect front-end behavior. That mirrors what you want in GEO: simulate actual usage, not lab conditions.

Pros (from sustained use)

• Best agentic actions we’ve seen so far—content, technical, and earned/PR tasks that ship.
  
  
• Prompting collection & visibility monitoring felt sound in practice. We didn’t experience the “synthetic data drift” that plagues lighter tools.
  
  
• Broadest model coverage we needed (including AI Overview/AI Mode and Microsoft Copilot).
  
  
• Full-stack feature set: prompt/topic explorer, visibility, citations/domains, action layer, AI shopping, attribution, crawler/agent analytics.
  
  
• White-glove support—from onboarding through change management, it felt enterprise-ready.
  
  
• We used it to drive visibility on most tracked prompts; on our prompt set we’re now seeing ~60–80% appearance probability across most models. That’s our internal result, not a claim of universal performance.
  
  

Cons

• Not the cheapest, but the price lined up with value when you weigh model coverage, action layer, and attribution. For context, our initial plan started around $495/mo and scaled based on tracked prompts and data volume; your mileage may vary by scope. (Goodie’s site generally routes pricing to sales for enterprise.)
  
  

Ideal for

Mid-market and enterprise teams that want one platform to monitor, explain, and take action across AI surfaces, with global/multi-language requirements.

Profound Review

Bottom line: Profound is a heavyweight enterprise entrant with strong research DNA and real traction. If your team values deep visibility analytics, prompt volumes, and you have an enterprise budget, it’s a credible option that’s improving quickly.

What Profound is best at

1. Momentum and credibility
   
   Profound raised a $35M Series B led by Sequoia, with participation from Kleiner Perkins and Khosla, among others. That capital shows up in product velocity and enterprise posture.
   
   
2. Enterprise-friendly footprint
   
   Security posture (SOC 2 claim on site), SSO, and an enterprise sales motion. Pricing now includes a Lite tier at $499/mo and Enterprise (custom). Lite is a real on-ramp, though with constraints typical of entry plans.
   
   
3. Evolving feature set
   
   The platform now includes Answer Engine Insights, Prompt Volumes, Agent Analytics, Actions, Shopping (ChatGPT Shopping), and more—useful for understanding volatility and planning.
   
   
4. Broad and expanding model coverage
   
   Recent announcements confirm support for Claude, Meta AI, DeepSeek, Grok, and Google AI Mode, alongside mainstays like ChatGPT, Perplexity, Copilot, and AI Overviews.
   
   
5. Real customers
   
   Public case studies include Ramp and Statsig showing tangible lifts in AI visibility. That’s helpful if you need proof points for your CFO.
   
   

Where it felt lighter than Goodie

• Action layer depth: Profound’s Actions are new(er) and improving, but in our usage they still required more manual follow-through than Goodie’s multi-agent workflows that nudge content, technical, and earned levers in one place.
  
  
• Integrations clarity: Profound documents Google Analytics integration for attribution; we didn’t find public docs for Google Search Console at the time of writing. (If that’s mission-critical, ask their team directly.)
  
  

Ideal for

Enterprise teams that want serious analytics and research around AI visibility, can live with a more manual action loop for now, and value backing from a well-funded vendor with recognizable customer logos.

Peec Review

Bottom line: Peec is the budget-friendly, agency-friendly option with an opinionated, simple UX. If you’re an agency or SMB looking to get started with AI visibility tracking without enterprise overhead, it’s a solid pick.

What Peec is best at

1. Pricing clarity & time-to-value
   
   Public pricing is straightforward: Starter €89, Pro €199, Enterprise €499+ per month. Starter and Pro track ChatGPT, Perplexity, and Google AI Overviews; additional models (Gemini, Claude, DeepSeek, Llama, Grok, AI Mode, etc.) are add-ons. This keeps entry costs low, with an upsell path as needs grow.
   
   
2. Agency orientation
   
   Peec explicitly markets agency workflows (e.g., pitch workspaces, reporting), and that matches how I see it used in the wild. If you manage multiple clients, the packaging makes sense.
   
   
3. EU footprint & fresh funding
   
   Berlin-based with €7M raised, Peec is moving quickly and building for European teams while serving global use cases.
   
   

Tradeoffs to know

• Model coverage by plan: base tiers cover 3 engines (ChatGPT/Perplexity/AIO). The rest are paid add-ons. For some teams that’s perfect; for global brands needing full coverage out of the gate, you’ll want to run the math vs. an enterprise platform.
  
  
• Action & attribution depth: Peec leans analytics-first. Agentic execution and cross-channel attribution are lighter compared to Goodie’s “monitor → optimize → attribute” loop.
  
  

Ideal for

Agencies and SMBs that want fast setup, clean dashboards, and price-predictable tracking of core engines—with the option to add more models later. 

Side-by-Side Comparison

Citations: Goodie models & features; Profound pricing/features/models; Peec pricing/models. 

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My pick and why Goodie won our head-to-head

We tried lighter tools first—they were fast to set up but too shallow. Goodie was the first platform where our team could see the problem (visibility/sentiment/citations by model and market), understand the why (sources and gaps), and then do something about it inside the same system—with attribution we could defend in a QBR. In our environment, Goodie’s agentic workflows were the unlock.

Does that mean Profound or Peec aren’t good? No. Profound is a serious platform with enterprise traction and is adding features quickly (the funding and customer list reflect that). Peec is the “get started now” option for agencies and SMBs. But if you’re operating a global GEO program and need broad model coverage plus a real action layer, Goodie is the most complete package I’ve used. 

Notes & receipts (for the folks who love details)

• Goodie models & features: public models/feature pages list ChatGPT, Perplexity, Gemini, Claude, DeepSeek, Google AI Overview/AI Mode, Copilot, Meta AI, Grok, Rufus; features include Visibility Monitoring, Optimization Hub, AEO Content Writer, Traffic & Attribution, Topic Explorer, Shopping, Crawler & Agent Analytics.
  
  
• Goodie enterprise focus: their enterprise page positions the platform for large organizations tackling AI search at scale.
  
  
• Goodie case studies: examples showing visibility and conversion impacts.
  
  
• Profound funding: $35M Series B led by Sequoia with participation from Kleiner Perkins, Khosla, etc.
  
  
• Profound pricing: $499/mo Lite plan; Enterprise custom.
  
  
• Profound features & coverage: Prompt Volumes, Agent Analytics, Actions, Shopping; support added for Claude, Meta AI, DeepSeek, Grok, and Google AI Mode.
  
  
• Profound customers: case studies for Ramp and Statsig.
  
  
• Peec pricing & scope: Starter €89 and Pro €199 include ChatGPT/Perplexity/AIO; additional models are add-ons; agency positioning is explicit; Berlin HQ and €7M funding reported.
  
  

How to pick (quick decision tree)

• You need visibility + action + attribution in one system and operate across multiple countries/languages and most major models. Pick Goodie.
  
  
• You want a funded, enterprise vendor with strong analytics and research workflows, and you’re okay with a more manual action loop right now. Pick Profound.
  
  
• You’re an agency/SMB with limited budget that wants a fast, clean way to track core AI engines now and add others later. Pick Peec.
  
  

RFP checklist for GEO/AEO platforms

1. Data collection method: real prompts/outputs vs. synthetic tests; evidence they mirror what users actually see.
   
   
2. Model list & roadmap: ChatGPT, Perplexity, Gemini, Claude, DeepSeek, Copilot, Meta AI, Grok, AI Overview & AI Mode, and vertical engines you care about.
   
   
3. Geo/language support: per-country and per-language segmentation and scheduling.
   
   
4. Action layer depth: can it generate AEO content, propose technical fixes, and drive earned content outreach with prioritization?
   
   
5. Attribution: does it stitch AI exposure to sessions, influenced deals, or at least assisted conversions?
   
   
6. Integrations & security: SSO, audit logs, analytics (GA, etc.), data handling disclosures.
   
   
7. AI shopping: if you sell products, do they track ChatGPT Shopping and similar surfaces?
   
   
8. Support & onboarding: enterprise SLAs vs. self-serve expectations.
   
   

FAQs

What’s GEO/AEO and why should I care now?

GEO/AEO is the practice of measuring and improving how AI systems (ChatGPT, Claude, Perplexity, Gemini, Copilot, Google AI Overviews/AI Mode, etc.) talk about your brand—and whether they cite you. As search shifts from links to answers, controlling this narrative matters to revenue. 

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Which tool covers the most models today?

Based on vendor docs, Goodie publicly lists the broadest coverage (ChatGPT, Perplexity, Gemini, Claude, DeepSeek, AI Overview & AI Mode, Copilot, Meta AI, Grok, Rufus). Profound also supports a wide roster, adding Claude/Meta/DeepSeek/Grok this summer. Peec’s base plans cover ChatGPT/Perplexity/AIO; other models are add-ons. 

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Who’s the best fit for enterprise?

Goodie and Profound. Goodie for the most integrated monitor → act → attribute loop; Profound for analytics depth with fast-moving features and big-name backing. 

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What about price?

• Peec: public €89/€199/€499+ tiers; base plans include ChatGPT/Perplexity/AIO.
  
  
• Profound: $499/mo Lite and custom enterprise.
  
  
• Goodie: sales-led pricing for enterprise; our initial plan started around $495/mo and scaled with usage.
  
  

Can these tools attribute revenue from AI answers?

They can approximate it. Goodie’s attribution and crawler/agent analytics helped us connect visibility to sessions and influenced pipeline. Profound publicly documents GA integration; Peec is more visibility-first. Set expectations that attribution in AI search is probabilistic, not exact. 

Final take

All three tools move you closer to where your buyers are spending time: inside answer engines. If you’re running a serious GEO program and need one platform to monitor globally, explain model behavior, ship fixes, and show impact, Goodie AI is my pick. If you value an analytics-first approach with an enterprise vendor on a steep trajectory, Profound deserves a look. If you want a clean, affordable on-ramp designed for agencies and SMB teams, Peec is the most straightforward

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