Goodie AI vs Profound vs Peec: Reviews of Leading GEO Platforms

If you’re reading this, you already feel the shift. Search is becoming answers. Your buyers are asking LLMs and AI platforms 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 each scenario when I’d pick it. Short version: all three are competent; one is clearly built to operate end-to-end at enterprise scale.

Goodie vs Profound vs Peec: the short answer

Goodie AI vs Profound vs Peec comes down to what you need most. Goodie is best for mid-market and enterprise teams that want monitoring, optimization, and revenue attribution in one platform, across most major AI models and multiple markets. Profound is best for enterprise and agency teams that want the deepest visibility analytics and prompt-volume research, backed by the category's most-funded vendor. Peec is best for SMBs and agencies that want affordable, self-serve AI-visibility tracking and can work within a three-engine core, adding models as they grow.

The fuller version:

• Goodie AI is the most complete observe-decide-act platform I've used: friendly UI, broad model coverage, and an action layer that ships fixes rather than just flagging problems. It covers a 11 AI platforms and is built for mid-market and enterprise teams.
• Profound is the heavyweight analytics play and the most-funded vendor in the space, having raised a $96M Series C at roughly a $1B valuation in early 2026. It's strongest on research and visibility data, and it closed its old "monitoring-only" gap by shipping Agents in late 2025. Pricing is largely enterprise-led.
• Peec is the budget-friendly, agency-friendly option: clean UI, fast setup, transparent self-serve pricing. Self-serve tiers track three engines from a list of seven, with more models as paid add-ons. Berlin-based, roughly $29M raised, moving fast.

How I evaluated

• Data fidelity: how well the platform mirrors real user behavior versus synthetic tests, and how transparent its methods are.
• Coverage: models tracked, recency and citation behavior, country and language segmentation.
• Action layer: beyond monitoring, can it actually help me fix issues across content, technical, and earned/PR?
• Attribution: AI to sessions to pipeline or revenue, and how defensible that link 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 pairs solid monitoring with agentic workflows that move real levers (content, technical, and earned), in a UI that content and PR teams can use and growth engineers can dig into.

What Goodie is best at

1. Visibility & coverage breadth
   Goodie tracks across the models that actually shape buyer decisions: ChatGPT, Perplexity, Gemini, Claude, DeepSeek, Google’s AI Overview and AI Mode, Microsoft Copilot, Meta AI, Grok, and Amazon Rufus. That's one of the widest public rosters in the category, and it 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 geographical and 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),
   • 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
   Goodie ties AI exposure back to traffic and assisted pipeline, which is what execs actually ask about in a QBR.
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.

The tradeoff is cost and onboarding: Goodie is built for mid-market and enterprise, priced for teams at that scale, so smaller teams should pressure-test the ROI first. So weigh the pick accordingly. I dug into it in a separate Goodie AI review.

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, and 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 roughly 60 to 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 $399/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 is the most-funded vendor in the category, having raised a $96M Series C at roughly a $1B valuation in early 2026, and that capital shows up in product depth. That capital shows up in product velocity and enterprise posture.
2. Enterprise posture
   SOC 2 Type II and SSO/SAML on the Enterprise tier, built for procurement.
3. Data depth
   Prompt Volumes (an estimate of how often people actually ask AI about your topics), the Conversation Explorer, and agent and crawler analytics. The prompt-volume research is a genuine differentiator.
4. A real action layer now
   Profound shipped Agents in late 2025, with templated workflows and CMS publishing, so the old "monitoring-only" knock no longer holds.
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

• Session-level attribution. Profound is strong on visibility and conversational data; tying AI exposure to individual sessions and downstream pipeline is lighter than what I want from an all-in-one loop. If revenue attribution is mission-critical, ask their team exactly which integrations are live today.
• Full coverage behind Enterprise. Self-serve Starter tracks ChatGPT only and Growth covers three engines. The full 10-engine roster, SSO, and the richest prompt-volume search data sit on custom Enterprise, so broad coverage still means a sales conversation even though you can start self-serve.

Ideal for

Enterprise teams that want serious analytics and research around AI visibility, value a well-funded vendor with recognizable logos, and can move through an enterprise buying process.

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. Transparent, low-entry pricing
   Pricing is public and self-serve: Starter $95/mo, Pro $245/mo, Advanced $495/mo, plus a custom Enterprise plan. You start cheap and scale prompts and projects as you grow.
2. Strong on the qualitative side
   Sentiment scoring, source-level citation data, and competitor benchmarking across 100+ languages with country-level views.
3. Well-funded and fast-moving
   The Berlin team has raised about $29M and ships quickly.

Tradeoffs to know

• Model coverage by plan: Every self-serve tier caps at three chosen models; the full model set unlocks only on Enterprise. Fine for teams focused on a few engines, limiting for global brands that need full coverage out of the gate.
• 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

Which one should you choose?

Pick by your situation:

• Mid-market with a real GEO program: Goodie. One loop for monitoring, optimization, and attribution.
• Global brand needing broad coverage day one: Goodie or Profound Enterprise. Not a starter plan.
• Enterprise wanting the deepest analytics and governance: Profound. Or Goodie to act on the data, not just measure it.
• Agency with many clients: Peec for predictable seat-free pricing, or Profound if AEO tracking is billable ($99/mo agency tier).
• SMB or first-timer, tight budget: Peec. Cheap, self-serve, no sales call.

If you want the wider field beyond these three, here are the best AEO tools and a broader look at GEO platforms. For larger deployments specifically, see the enterprise GEO platforms guide.

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 key.

Does that mean Profound or Peec aren’t good? No. Profound is a serious platform with enterprise traction, real capital, and a feature set that's caught up fast: since shipping Agents, the old "analytics-only" knock no longer holds. Peec is the get-started-now option for agencies and SMBs, and a genuinely well-made tracker. But if you're running a global GEO program and need broad model coverage plus a real action layer, Goodie is the most complete package I've used. Bias acknowledged; the facts above are yours to check.

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: $96M Series C at roughly a $1B valuation in early 2026, bringing total raised to about $155M across rounds.
• Profound features & coverage: Prompt Volumes, Conversation Explorer, Agent Analytics, Shopping, and Agents (launched late 2025 with templated workflows and CMS publishing).

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.

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.