Discovered Labs vs. Peec AI: Feature and pricing comparison

Updated January 09, 2026

When your prospects ask ChatGPT "What's the best solution for my problem?" and three competitors appear in the answer while your brand doesn't, you've lost the deal before sales ever gets involved. 48% of B2B buyers now use AI to research vendors, and if you're invisible in AI answers, you're invisible to half your market.

The question isn't whether you need to optimize for AI search. The question is how. Do you need a monitoring platform that shows you the gaps, or a full-service partner that fills them? This guide compares Discovered Labs' managed agency model against Peec AI's software platform approach, breaking down features, methodology, pricing, and the execution gap that determines which option fits your team.

The core difference: Managed agency vs. software platform

Discovered Labs and Peec AI solve different parts of the same problem.

Peec AI is a monitoring and analytics platform. The tool tracks brand mentions across ChatGPT, Perplexity, and Google AI Overviews, showing you visibility percentages, competitor benchmarking, and source citations. Data updates daily, giving you fresh insights into where your brand appears (or doesn't) in AI-generated answers. Plans start at €89/month for 25 tracked prompts across three AI platforms, scaling to €499/month for enterprise monitoring.

What Peec AI doesn't do: create content, optimize your existing pages, or execute strategy. You get the dashboard, but your team does the work, which means integrating insights with external content platforms.

"This is where Peec lacks. It's just a measurement tool at this point." - Verified user review of Peec AI

Discovered Labs is a specialized AEO agency that handles strategy and execution. We audit where you appear across AI platforms using proprietary technology, produce 20+ AI-optimized articles monthly using our CITABLE framework, manage Reddit narrative campaigns, and track competitive citation rates weekly. Clients typically move from minimal AI visibility to consistent citations in target buyer queries within 3-4 months.

Most teams fail in the execution gap between knowing what to do and actually doing it daily. A VP of Marketing told us: "We were ranking well in Google but prospects were still choosing competitors because ChatGPT kept recommending them and never mentioned us." They had visibility into the problem but lacked the bandwidth, methodology, and daily content velocity to fix it, which feeds directly into why execution matters more than monitoring alone.

Feature comparison at a glance

Methodology deep dive: How we engineer citations vs. automated optimization

The CITABLE framework is why our clients move from invisible to consistently cited in target buyer queries within 3-4 months. Each component addresses a specific reason AI systems choose to cite one source over another:

C - Clear entity & structure: Lead with a 2-3 sentence Bottom Line Up Front (BLUF) stating what it is, who it's for, and when to use it, which answers the question in the first paragraph and feeds directly into how we architect intent.

I - Intent architecture: Map main and adjacent questions buyers actually ask AI. AEO content leads with direct answers in 40-60 words, then expands with evidence that validates your answer.

T - Third-party validation: AI models trust external mentions more than your claims. We secure citations from Wikipedia, G2 reviews, Reddit discussions, and industry publications as validation that grounds every answer in verifiable truth.

A - Answer grounding: Every claim includes verifiable sources. AI systems prioritize content with consistent information across multiple sources, so we ensure alignment between your website, review profiles, and third-party mentions.

B - Block-structured for RAG: Structure content in 200-400 word sections optimized for Retrieval-Augmented Generation, which matches how LLMs chunk and retrieve information when answering queries.

L - Latest & consistent: Run continuous refresh cycles to increase citations from pages already working. Freshness signals matter to AI systems prioritizing current information.

E - Entity graph & schema: Build explicit relationships in copy that help LLMs understand context. When you're cited for "project management software for healthcare teams," AI models pull from entity-clear content that connects your product to specific use cases.

We optimize based on what's proven to work across clients, using data from our proprietary technology to identify which content formats, title structures, and topic clusters drive the highest citation rates.

Peec AI's approach centers on monitoring rather than methodology. The platform tracks visibility, position, and sentiment across AI models, providing dashboards that show trends over time and competitor comparisons. Users set up custom prompts to monitor specific queries and receive data on how brands appear in generated responses.

The limitation: Peec AI leaves the strategic decisions to your team. The platform doesn't recommend next steps, so you use your judgment to decide how to act on visibility data.

"It's a tool designed for monitoring, not for action. If you want a solution that tracks AI visibility, offers strategic recommendations, and creates content to support those suggestions, you'd need to look elsewhere." - Verified review of Peec AI

Pricing and contract flexibility

Discovered Labs pricing operates on an agency retainer model that includes comprehensive AI visibility tracking across ChatGPT, Claude, Perplexity, Google AI Overviews, and Bing Copilot, plus 20+ SEO and AEO optimized articles monthly, weekly citation reports with competitive benchmarking, Reddit marketing campaigns, technical audits, and strategic roadmap adjustments. All packages operate on month-to-month terms with 30-day cancellation notice.

You're not paying for software access - you're paying for outcomes. A client who needed to reverse declining MQLs saw results detailed in our case study comparing agency approaches.

Peec AI pricing follows a tiered SaaS model:

Starter: €89/month for 25 prompts tracked across 3 countries (ChatGPT, Perplexity, Google AI Overviews), unlimited seats, email support, 7-day free trial

Pro: €199/month for 100 prompts tracked across 5 countries, same platform coverage, unlimited seats, email and Slack support

Enterprise: €499/month for 300+ prompts tracked across 10+ countries, same platform coverage, unlimited seats, email, Slack, and phone support

Additional AI platforms cost €20-30 each monthly to add beyond the base three. Contract terms allow monthly cancellation anytime, effective at the end of the current payment cycle.

Month-to-month terms matter for marketing leaders who need to prove ROI within 90-120 days. If you can't show the CEO measurable citation rate improvements and qualified pipeline contribution by quarter-end, you can walk away. Peec AI makes sense if you already have a content team executing daily and only need visibility dashboards. Discovered Labs makes sense if you need the entire system built, managed, and delivering qualified pipeline.

Reporting and attribution: Proving ROI to the board

Our reporting answers the question you face in every board meeting: "What's our AI strategy delivering?" You present a before/after narrative showing minimal citation visibility growing within a quarter, with specific pipeline dollar amounts attributed to AI-referred leads.

Weekly reports include:

• Citation rate trends: Percentage of target buyer queries where your brand appears in AI answers across ChatGPT, Claude, Perplexity, Google AI Overviews, Bing Copilot
• Share of Voice analysis: Your citation percentage versus top 3-5 competitors for the same query set
• Content performance attribution: Which specific articles drive citations and which topics need different approaches
• Pipeline impact: AI-referred traffic volume, MQLs and SQLs attributed to AI visibility, conversion rates compared to traditional organic search

We tag AI-referred visitors with UTM parameters and integrate with Salesforce to track opportunities influenced by AI visibility. Industry studies show AI-sourced traffic consistently converts at higher rates than traditional search traffic, making the ROI calculation straightforward when you can isolate the source.

Peec AI reporting centers on dashboard-based analytics showing visibility metrics (percentage of conversations where your brand is mentioned), position tracking (your ranking within AI-generated results), source citations that reveal influencing websites like G2 or Reddit, competitor benchmarking, and prompt performance. Data updates daily, providing fresh snapshots.

What Peec AI doesn't track: attribution modeling, CRM integration, or how AI-referred traffic performs once visitors reach your site. You see visibility trends but need to build your own infrastructure to connect citations to revenue.

Final verdict: When to choose Discovered Labs vs. Peec AI

Choose Discovered Labs if:

• Your marketing team lacks dedicated AEO specialists, and you can't add headcount but need to reverse declining MQLs within 90 days
• You require healthcare or fintech compliance expertise where AI-cited content must be verifiable and regulatory-safe
• Your CEO asks "What's our AI search strategy?" and you need measurable citation rates tied to qualified pipeline to present at the next board meeting
• You prefer a partner who owns the outcome and reports on Share of Voice versus competitors, not a tool that shows you the problem

Choose Peec AI if:

• You have a large in-house content team with capacity to produce daily AI-optimized content and only need monitoring dashboards
• Budget constraints limit you to under €2,000 monthly, and you're willing to trade execution support for lower cost
• You want to build internal AEO expertise rather than outsource it to an agency partner

The execution gap determines everything. With 60% of searches ending without a click and Gartner predicting 25% of organic traffic shifting to AI by 2026, monitoring tools show you're losing ground while full-service partners help you gain it back.

Frequently asked questions

How long does it take to see results with Discovered Labs?
Initial AI citations appear within 2-3 weeks as new content gets indexed and retrieved by LLMs. Measurable pipeline impact showing increased AI-referred MQLs takes 3-4 months of consistent optimization.

Do I need to sign a long-term contract with Discovered Labs?
No. We operate on month-to-month terms with 30-day cancellation notice. This structure proves our confidence in delivering measurable results, because we need to earn your business every month based on citation rate improvements and qualified pipeline contribution.

Can Peec AI write the content for me?
No. Peec AI is strictly a monitoring and analytics platform with no built-in content creation tools. Discovered Labs produces 20+ AI-optimized articles monthly as part of the core service, handling research, writing, optimization, and publishing.

Which AI platforms does each solution track?
Discovered Labs tracks ChatGPT, Claude, Perplexity, Google AI Overviews, and Bing Copilot in custom audits. Peec AI's base plans include ChatGPT, Perplexity, and Google AI Overviews, with additional platforms available for €20-30 monthly each.

Key terminology

Answer Engine Optimization (AEO): The practice of creating and optimizing content to ensure it is easily discoverable by answer engines like Google AI Overviews, voice assistants, and AI tools that provide direct answers rather than listing web pages.

Generative Engine Optimization (GEO): Strategies intended to influence how large language models like ChatGPT, Claude, and Perplexity retrieve, summarize, and present information in response to user queries. GEO expands AEO principles into the broader AI ecosystem.

Share of Voice (SOV): A measure of visibility your brand owns compared to competitors in a specific channel. In AI search context, SOV represents the percentage of AI-generated responses that mention or cite your brand versus competitors for a set of target queries.

CITABLE Framework: Discovered Labs' proprietary 7-component methodology for engineering verifiable brand citations in AI-generated answers. Components include Clear entity structure, Intent architecture, Third-party validation, Answer grounding, Block-structured format, Latest content, and Entity relationships.

Ready to see where you're losing deals to AI-cited competitors? Request an AI Visibility Audit and we'll test buyer queries across ChatGPT, Claude, and Perplexity to show you exactly which competitors are cited and where your brand is invisible. You'll see the citation gaps, the competitive positioning data you can present to your CEO, and the specific content roadmap to improve visibility within 90 days.