Peec AI vs Authoritas AI Tracker (2026): Which AI visibility platform is right for you?

Key Takeaways

• Pricing gap: Peec AI starts at €89/mo with unlimited prompts on Starter, while Authoritas uses credit-based pricing starting at £90/mo (2,000 credits) where each prompt query consumes credits -- Peec is simpler and more predictable for small teams
• Feature depth: Authoritas offers hybrid API + UI crawl tiers and transparent credit allocation per model, giving you more control over cost vs coverage. Peec focuses on fast setup and actionable suggestions without the complexity
• LLM coverage: Both track ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews, and Bing/Copilot. Authoritas adds DeepSeek explicitly; Peec's model list is less detailed on their site but covers the majors
• Target audience: Peec is built for marketing teams and agencies who want quick insights and competitor benchmarks. Authoritas targets brands, publishers, and e-commerce with licensing insights and IP protection angles
• Content optimization: Neither platform generates content for you -- both are monitoring-only dashboards. If you need to close the loop from tracking to content creation, you'll need a separate tool or workflow
• Best for publishers: Authoritas explicitly positions itself for publishers tracking content usage and licensing revenue. Peec doesn't emphasize this use case

Overview

Peec AI

Peec AI is a multi-language AI visibility tracker designed for marketing teams who want to understand how their brand shows up in ChatGPT, Perplexity, and Gemini responses. The platform emphasizes three core metrics: Visibility (share of chats mentioning your brand), Position (where you rank in AI responses), and Sentiment (how AI perceives your brand). You can add custom prompts, organize them with tags, and track across multiple countries. Peec's interface is clean and dashboard-focused, with competitor benchmarking baked in. Pricing is subscription-based starting at €89/mo for the Starter plan, scaling to €199/mo for Professional and custom Enterprise pricing. A free trial is available.

Authoritas AI Tracker

Authoritas AI Tracker is part of Authoritas's broader SEO platform suite, offering AI search visibility monitoring across ChatGPT, Perplexity, Claude, Gemini, DeepSeek, Google AI Overviews, and Bing AI. The platform tracks brand mentions, sentiment, and citations, with a focus on understanding which sources LLMs cite and how AI engines recommend your brand. Authoritas uses a credit-based pricing model: each prompt query consumes credits depending on the model queried (e.g. GPT-4o mini costs fewer credits than GPT-4o with search). Plans start at £90/mo for 2,000 credits, scaling up to £1,125/mo for 42,000 credits on the Enterprise tier. A free tier with 50 credits is available. The SEO platform is sold separately (Essential £99/mo, Advanced £399/mo, Expert $799/mo), so if you want both AI tracking and traditional SEO tools, you're paying for two products.

Side-by-Side Comparison

Pricing comparison

Key difference: Peec's pricing is straightforward -- you pay a flat fee and get unlimited prompt tracking within your plan's feature set. Authoritas charges per query via credits, so your effective cost depends on how many prompts you track and which models you query. If you're running hundreds of prompts daily across multiple LLMs, Authoritas can get expensive fast. If you're tracking a smaller set of high-value prompts and want granular control over which models to query, the credit system gives you flexibility.

Feature deep-dive

User interface and setup

Peec AI's dashboard is designed for speed. You see Visibility, Sentiment, and Position trends at a glance, with competitor comparison charts (e.g. "Salesforce 62%, Attio 47%, HubSpot 65%") front and center. Adding custom prompts is simple -- type the prompt, tag it, select countries, done. The interface feels like it was built for marketing managers who need to report on AI visibility in weekly meetings, not data scientists.

Authoritas AI Tracker sits within a larger SEO platform ecosystem, so the interface is more complex. You're navigating between AI tracking, traditional SEO rank tracking, and other modules. The credit system adds a layer of decision-making: before you run a query, you see how many credits it will consume (e.g. GPT-4o mini = 1 credit, GPT-4o with search = 5 credits). This transparency is useful for budget control but slows down exploratory tracking. If you just want to throw 100 prompts at ChatGPT and see what happens, Peec's unlimited model is easier.

Verdict: Peec wins on simplicity and speed to insight. Authoritas wins if you need tight cost control and are already using their SEO platform.

LLM coverage and model selection

Both platforms cover the big players: ChatGPT (OpenAI), Perplexity, Claude (Anthropic), Gemini (Google), Google AI Overviews, and Bing/Copilot. Authoritas explicitly lists DeepSeek in their coverage, which is relevant if you're tracking Chinese or international AI search behavior. Peec's website doesn't break down model versions in detail, but their dashboard screenshots show tracking across "All Models" with filtering options.

Authoritas's credit system lets you choose which model to query for each prompt. Want to save credits? Query GPT-4o mini or Claude 3.5 Haiku. Need citation data? Pay more credits for models that support search (e.g. Perplexity Sonar, GPT-4o with search). Peec doesn't expose this level of control -- you track across all models or filter in the dashboard after the fact.

Verdict: Authoritas offers more granular model selection and cost optimization. Peec is simpler but less flexible.

Prompt tracking and organization

Peec AI lets you add unlimited custom prompts on the Starter plan and above. You organize prompts with tags (e.g. "Product", "Competitor", "Industry") and filter by tag in the dashboard. You can track prompts across all countries or select specific regions. The platform doesn't mention prompt volume estimates or difficulty scoring -- it's purely about tracking what you define.

Authoritas AI Tracker's prompt tracking is constrained by your credit budget. If you're on the P1 plan (2,000 credits/mo) and each prompt query costs 1-5 credits depending on the model, you can run 400-2,000 queries per month. For a brand tracking 50 prompts daily across 3 models, that's 4,500 queries/mo -- you'd need the P2 or P3 plan. The platform doesn't emphasize prompt discovery or suggestion features; you're expected to bring your own prompt list.

Verdict: Peec's unlimited prompt model is better for exploratory tracking and large prompt sets. Authoritas works if you have a curated list of high-priority prompts.

Competitor benchmarking

Peec AI's competitor benchmarking is a first-class feature. The dashboard shows your brand's visibility percentage vs competitors in a bar chart (e.g. "Attio 47%, Salesforce 62%, HubSpot 65%"). You can see who's winning for specific prompts and track share-of-voice trends over time. This is exactly what a marketing team needs to report upward: "We're at 47% visibility vs Salesforce's 62% -- here's the gap."

Authoritas AI Tracker supports competitor tracking but doesn't emphasize it as heavily in their marketing. The focus is more on your own brand's mentions, sentiment, and citations. You can compare brands, but the interface isn't as visually oriented around competitive share-of-voice.

Verdict: Peec is purpose-built for competitive benchmarking. Authoritas can do it but it's not the hero feature.

Sentiment and position tracking

Both platforms track sentiment (how positively or negatively AI models describe your brand) and position (where you rank in AI responses). Peec uses a 0-100 sentiment score and shows position as an average rank (e.g. "Position: 2.6" means you typically appear as the 2nd or 3rd option). Authoritas tracks sentiment and position similarly but ties it more closely to citation analysis -- you can see which sources influenced the sentiment.

Neither platform offers sentiment drill-down into specific phrases or themes. You get a score, not a breakdown of "AI mentioned your customer service positively but your pricing negatively." For that level of detail, you'd need to manually review the AI responses.

Verdict: Tie. Both track the basics; neither goes deep on sentiment analysis.

Citation and source analysis

Authoritas AI Tracker explicitly highlights citation tracking: which sources (websites, Reddit threads, YouTube videos) LLMs cite when they mention your brand. This is valuable for understanding your content's influence and identifying gaps. If competitors are cited from sources you're not present on, you know where to publish next.

Peec AI doesn't emphasize citation analysis in their marketing. The focus is on brand mentions and visibility metrics, not the underlying sources driving those mentions.

Verdict: Authoritas wins on citation depth. If you care about why AI models recommend you (or don't), Authoritas gives you the data.

Publisher-specific features

Authoritas positions itself explicitly for publishers tracking content usage and licensing revenue. The platform helps publishers understand how AI platforms consume their content, identify licensing opportunities, and protect IP. This is a niche use case but critical for media companies negotiating with OpenAI, Perplexity, or Google.

Peec AI doesn't target publishers. It's built for brands and agencies tracking brand mentions, not content licensing.

Verdict: Authoritas is the only choice for publishers. Peec isn't designed for this use case.

Content optimization and generation

Neither Peec AI nor Authoritas AI Tracker generates content for you. Both are monitoring-only platforms. You see where you're invisible, but you're on your own to fix it. If you want to close the loop from tracking to content creation, you'll need a separate tool. For example, Promptwatch combines AI visibility tracking with content gap analysis and an AI writing agent that generates articles optimized for AI search -- it shows you what's missing, then helps you create it.

Peec and Authoritas give you the "what" (where you're not showing up), but not the "how" (what content to create to fix it).

Verdict: Tie. Both platforms leave content creation to you.

Pros and cons

Peec AI

Pros:

• Simple, predictable pricing (flat subscription, unlimited prompts)
• Fast setup and clean dashboard focused on marketing KPIs
• Strong competitor benchmarking with visual share-of-voice charts
• Multi-language and multi-region tracking included
• Free trial available

Cons:

• No citation or source analysis
• No content generation or optimization features
• Less granular control over which models to query
• Not designed for publishers or licensing use cases
• Limited transparency on which specific LLM versions are tracked

Authoritas AI Tracker

Pros:

• Transparent credit-based pricing with per-model cost visibility
• Strong citation and source analysis (understand why AI recommends you)
• Explicit support for publishers tracking content usage and licensing
• Covers DeepSeek and a broad range of LLM versions
• Hybrid API + UI crawl options for defensible data capture

Cons:

• Credit system adds complexity and can get expensive at scale
• SEO platform sold separately (£99-799/mo extra if you want both)
• Interface is more complex, slower to navigate than Peec
• Competitor benchmarking is less visually prominent
• Free tier is tiny (50 credits = ~10-50 queries depending on model)

Who should pick which tool

Choose Peec AI if:

• You're a marketing team or agency that needs simple, fast AI visibility tracking
• You want to track dozens or hundreds of prompts without worrying about per-query costs
• Competitor benchmarking and share-of-voice reporting are your top priorities
• You prefer a clean, focused dashboard over a multi-module SEO suite
• You're working in multiple languages or regions and want that included by default

Choose Authoritas AI Tracker if:

• You're a publisher tracking content usage, licensing opportunities, or IP protection
• You need deep citation and source analysis to understand why AI models recommend (or ignore) you
• You want granular control over which LLM models to query and how to allocate your budget
• You're already using Authoritas for traditional SEO and want to add AI tracking
• You're tracking a curated set of high-priority prompts and the credit system works for your volume

Choose something else if:

• You need content generation and optimization, not just monitoring. Peec and Authoritas show you the gaps but don't help you fill them. Tools like Promptwatch combine tracking with AI-powered content creation, so you can act on the insights instead of just staring at dashboards.
• You're a small team on a tight budget. Peec's €89/mo is reasonable, but if you need more than basic tracking, you're quickly at €199/mo. Authoritas's credit system can spiral if you're not careful. Look for platforms with more generous free tiers or lower entry points.

Final verdict

Peec AI is the better choice for marketing teams and agencies who want fast, simple AI visibility tracking with strong competitor benchmarking. The flat subscription model and unlimited prompts make it easy to budget and scale. Authoritas AI Tracker is the better choice for publishers, brands with complex tracking needs, and teams that want deep citation analysis and granular cost control. The credit-based pricing is transparent but adds complexity.

Neither platform helps you create content to improve your AI visibility -- they're dashboards, not optimization tools. If you want to close the loop from insight to action, you'll need to layer in a content workflow or look at platforms that combine tracking with generation.

One-liner: Peec is faster and simpler for most teams; Authoritas is deeper and more flexible for publishers and power users.