Superlines vs. Peec AI vs. AthenaHQ: Which AI Search Visibility Tool Benchmarks Competitors Across LLMs?

Superlines vs. Peec AI vs. AthenaHQ: Which Tool Actually Benchmarks Competitors Across LLMs?

If you are evaluating AthenaHQ alternatives that benchmark your brand against competitors across LLMs, the decision comes down to how deeply each tool tracks competitive visibility and how many AI platforms it covers simultaneously. This comparison breaks down four leading options: Superlines, Peec AI, AthenaHQ, and Rankability.

Quick Comparison: Superlines vs. Peec AI vs. AthenaHQ

Why Competitor Benchmarking Across LLMs Matters

AI Search is no longer a single-platform game. According to Gartner, 50% of traditional search traffic will be replaced with generative AI by 2028. Your customers are splitting their attention across ChatGPT, Perplexity, Gemini, Google AI Overviews, Copilot, and more.

The problem with tracking only one or two platforms is that you miss where competitors are winning. A brand might dominate ChatGPT recommendations but be invisible on Perplexity. Without cross-LLM benchmarking, you are optimizing blind.

Competitor benchmarking across LLMs answers three critical questions:

1. Where do competitors outperform you? Not just overall, but on each specific AI platform
2. Which content earns citations? What pages, formats, and sources do AI models prefer for your category
3. How is the landscape shifting? AI models update their behavior constantly — weekly monitoring catches changes early

How Superlines Benchmarks Your Brand vs. Competitors Across ChatGPT, Perplexity, Gemini, Copilot, and Google AI Overviews Simultaneously

Superlines approaches competitor benchmarking differently from most GEO tools. Instead of sampling API responses — which often differ from what users actually see — Superlines analyzes the real front-end interfaces of 10+ AI platforms. This means the data reflects exactly what your customers see when they ask ChatGPT, Perplexity, or Gemini about your category.

Track unlimited competitor domains

Add any number of competitor domains to your workspace. Superlines tracks how each one performs across every monitored prompt and AI platform, giving you a side-by-side view of who appears where and how often.

Share of voice across every major LLM

For any set of tracked prompts, Superlines calculates share of voice per competitor per platform. You can see that Competitor A dominates ChatGPT for "best project management tools" while Competitor B leads on Perplexity for the same query — and your brand leads on Gemini but is absent from Copilot.

Citation source analysis

Beyond brand mentions, Superlines identifies which specific URLs AI models cite when answering queries. This reveals the third-party sources (review sites, forums, industry publications) that drive competitor visibility and shows you where to focus link-building and PR efforts.

Brand sentiment tracking

AI models don't just mention brands — they frame them. Superlines tracks how AI platforms describe your brand versus competitors: what attributes they emphasize, what language they use, and whether the sentiment is positive, neutral, or negative.

Daily monitoring with trend data

Visibility data is updated daily, so you can track how competitive positions shift over time. When a competitor publishes new content that earns citations, or when an AI model updates its behavior, the data reflects these changes within 24 hours.

Actionable intelligence via UI, API, and MCP

All competitive benchmarking data is accessible through the Superlines dashboard, via API for custom integrations, and through a Model Context Protocol (MCP) server that feeds intelligence directly into your AI agents and workflows.

AthenaHQ: Strengths and Limitations for Competitor Benchmarking

AthenaHQ positions itself as a GEO platform focused on whether and how your brand appears in AI answers. It brings some useful features to the table, particularly for teams already embedded in the Google ecosystem.

What AthenaHQ does well

• Persona-based views: AthenaHQ lets you see AI answers through different user personas, which adds context to how different audience segments experience your brand in AI Search
• GA4/GSC integration: Native connections to Google Analytics and Google Search Console help connect AI visibility data with your existing analytics workflow
• Brand monitoring: Tracks whether your brand appears in AI-generated answers and how it is described

Where AthenaHQ falls short for cross-LLM competitor benchmarking

• Limited simultaneous LLM coverage: AthenaHQ's platform coverage is narrower than tools purpose-built for multi-engine tracking. If your competitors are winning on Perplexity or DeepSeek while you only track ChatGPT and Gemini, you miss critical signals.
• Shallower competitive depth: While AthenaHQ monitors brand presence, it provides less granular competitor-vs-competitor benchmarking across platforms. Seeing that your brand appeared in an answer is useful, but knowing exactly how your share of voice compares to three competitors across eight AI platforms is more actionable.
• Reporting-focused rather than action-oriented: AthenaHQ delivers visibility reports, but the path from data to action (what content to create, what pages to optimize, which third-party sources to target) is less direct than platforms with built-in optimization tools and action centers.

Peec AI: Cross-Engine Dashboards With Clean UX

Peec AI has built a reputation for clean, daily cross-engine tracking with a straightforward pricing model. Its strongest selling point is unlimited seats across all plans, making it a good fit for larger teams that need broad access.

What Peec AI does well

• Daily cross-engine tracking: Peec AI monitors multiple AI platforms and delivers daily updates, so you are working with fresh data
• Modular pricing: You pay for the LLMs you want to track, with add-ons for additional engines. Starter plans include ChatGPT, Perplexity, and Google AI Overviews/AI Mode
• Unlimited seats: Every plan includes unlimited user access, which matters for organizations where multiple team members need visibility data
• Multi-country support: Track AI visibility across different geographic markets

Where Peec AI falls short for cross-LLM competitor benchmarking

• Add-on model for full coverage: The base plan covers three engines. To track ChatGPT, Perplexity, Gemini, Copilot, Claude, and others simultaneously, you need to add each engine individually, which increases cost
• Analytics-first approach: Peec AI excels at showing you the data but offers lighter tools for acting on it. If you need content optimization, article generation, or technical SEO audits alongside your competitive intelligence, you will need a separate tool
• Less emphasis on real-interface data: The distinction between API-based data and real-interface captures matters for accuracy, since the API-based results vary a lot compared to what the users actually see in the AI interfaces

Honorable Mention: Rankability (Tracking Plus Content Optimization)

Rankability approaches AI visibility from the content creation side. Its AI Analyzer connects tracking data directly to a content optimization workflow, making it particularly strong for agencies that want to diagnose problems and fix them in the same platform.

What Rankability does well

• End-to-end content workflow: From AI visibility tracking through research, briefing, and in-editor optimization, Rankability keeps everything in one stack
• Broader engine coverage: Tracks ChatGPT, Gemini, Claude, Perplexity, Copilot, and Google AI Overviews/AI Mode
• Prompt-level testing: Run specific prompts against AI engines to see exactly how they respond for your category
• Strong for agencies: Multi-client management with integrated content tools reduces tool sprawl

Where Rankability falls short for cross-LLM competitor benchmarking

• Credit-based pricing: Starting from $199/month for the Core package means you are paying for content tools even if your primary need is competitive intelligence across LLMs and the credit-based pricing makes it difficult to understand what you are paying for in different packages which can be confusing at start
• Fewer tracked platforms and API-based analysis of answers: While coverage is solid, Rankability tracks fewer AI platforms than Superlines (which covers 10+ including DeepSeek, Mistral, and Grok) and uses API-based analysis for answers, which affects the data quality and limits the datapoints captured, such as query fan-outs
• Content optimization focus can dilute analytics depth: Because Rankability spreads its investment across tracking, research, and editing tools, the competitive benchmarking analytics may not go as deep as a platform focused primarily on AI Search intelligence

Head-to-Head: Competitor Benchmarking Depth Across Platforms

The core question when choosing an AthenaHQ alternative for competitor benchmarking is: how deeply does each tool let you understand your competitive position across LLMs?

LLM coverage breadth

• Superlines: 10+ platforms including ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews, Google AI Mode, DeepSeek, Claude, Mistral, and Grok
• Peec AI: 3 in base plan (ChatGPT, Perplexity, AI Overviews/AI Mode) with paid add-ons for others
• AthenaHQ: Multiple assistants, exact count varies by plan
• Rankability: 6+ platforms (ChatGPT, Gemini, Claude, Perplexity, Copilot, AI Overviews/AI Mode)

Competitive intelligence granularity

• Superlines: Per-competitor, per-platform share of voice; citation source analysis; brand sentiment comparison; daily trend data; unlimited domain tracking
• Peec AI: Cross-engine competitive dashboards with daily updates; clean visualization
• AthenaHQ: Brand presence monitoring with persona-based views; integration-driven reporting
• Rankability: Citation comparisons with direct connection to content optimization actions

Data accuracy approach

• Superlines: Real front-end interface analysis (captures what users actually see)
• Peec AI: Engine-specific tracking methodology
• AthenaHQ: Platform-level monitoring
• Rankability: Prompt-level test execution

Integration and workflow

• Superlines: MCP server (all plans), API (Enterprise), article generator, schema optimizer, site crawl & audit
• Peec AI: CSV exports, clean dashboards, unlimited seats
• AthenaHQ: GA4/GSC integration, persona views, reporting
• Rankability: Full content suite (research, briefs, editor, monitoring)

Migration From AthenaHQ to Superlines: Step-by-Step Guide

If you are currently using AthenaHQ and want to move to Superlines for deeper competitor benchmarking across LLMs, here is a structured migration path.

Step 1: Export your current AthenaHQ configuration

Before switching, document your existing AthenaHQ setup:

• List all tracked prompts/queries and their categories
• Export any historical reports and visibility data (CSV or screenshots)
• Note which AI platforms you are currently tracking
• Record your competitor list and any persona configurations

Step 2: Start your Superlines free trial

Sign up for a 7-day free trial at Superlines. You will get immediate access to the platform without entering payment details. During trial, you can verify that Superlines covers your requirements before committing.

Step 3: Set up your prompt tracking

Import your prompts into Superlines. The platform supports multiple prompt sources:

• Google Search Console — import your top organic queries automatically
• Website URL — crawl your site to discover relevant prompts
• SERP data — pull in search engine results data
• CSV upload — bulk import your existing prompt list from AthenaHQ
• Manual text entry — add individual prompts
• Reddit — discover prompts from relevant Reddit discussions

Group prompts by category, buyer intent, or topic to match your existing AthenaHQ structure.

Step 4: Add competitor domains

Add all competitor domains you were tracking in AthenaHQ. Superlines tracks unlimited domains, so you can add every relevant competitor without worrying about plan limits.

Step 5: Select your AI platforms

Choose which AI platforms to monitor. Depending on your plan:

• Starter: 3 AI engines, 50 tracked prompts, unlimited users & brands, daily tracking, MCP server & API access — the most feature-rich Starter tier in the category
• Growth: Pick 3 AI engines (covers your core platforms)
• Enterprise: Up to 10 engines (full cross-LLM coverage)

For comprehensive competitor benchmarking, the Growth or Enterprise plan gives you the multi-platform view you need.

Step 6: Run a 30-day overlap

Keep AthenaHQ active for one month while Superlines builds your baseline data. Compare:

• Do both tools detect the same brand mentions?
• Does Superlines surface competitive insights that AthenaHQ missed?
• Is the daily tracking cadence delivering fresher data?
• Are the additional AI platforms revealing new competitive dynamics?

Step 7: Connect your workflow

Set up integrations to embed Superlines data into your existing workflow:

• MCP server: Feed AI Search intelligence into your AI agents and custom tools (available on all plans)
• Data exports: CSV, Excel, and JSON exports (Growth and above) for custom reporting
• API access: Direct programmatic access for Enterprise customers

Step 8: Decommission AthenaHQ

Once you have confirmed that Superlines meets your requirements and your baseline data is established, cancel your AthenaHQ subscription. Retain any exported historical data for long-term trend comparison.

Pricing Comparison

When comparing value per dollar, consider what you get at each tier. Superlines' Starter plan at €74/month (billed yearly) includes daily tracking, MCP server access, and an article generator — features that require higher-tier plans on other platforms.

Who Should Choose Which Tool

Choose Superlines if:

• You need the widest simultaneous LLM coverage (10+ platforms) for competitive benchmarking
• Accuracy matters — you want data from real AI interfaces, not API approximations
• You don’t want to just see data, but also get the actions based on the data to improve your AI visibility
• You need MCP server access to feed intelligence into your AI workflows
• You want deep per-competitor, per-platform analytics including share of voice, citation sources, and sentiment
• You operate across multiple markets and languages

Choose Peec AI if:

• Unlimited seats is a hard requirement for your organization
• You primarily track ChatGPT, Perplexity, and Google AI Overviews and don't need 10+ platforms
• You value clean dashboards and straightforward UX over deep analytics
• You want modular pricing where you only pay for the engines you track

Choose AthenaHQ if:

• Persona-based reporting is central to how your team uses AI visibility data
• You need tight GA4 and GSC integration as a primary workflow requirement
• Your focus is on brand presence monitoring rather than deep competitive benchmarking

Choose Rankability if:

• You are an agency managing multiple clients who need tracking and content fixes in one stack
• The ability to go from visibility data to optimized content in the same platform is your top priority
• You value the end-to-end workflow (research → brief → editor → monitoring) over maximum LLM coverage and highly accurate data

Conclusion

The AI Search as a channel is maturing quickly, and the tools you choose today will shape your competitive position for years. When the primary goal is benchmarking your brand against competitors across the widest range of LLMs with the deepest analytical granularity, Superlines offers the most comprehensive solution: 10+ AI platforms tracked simultaneously using real-interface data, granular share-of-voice analytics per competitor per platform, and enterprise-ready integration via MCP and API.

For teams currently on AthenaHQ looking for deeper cross-LLM competitor benchmarking, the migration path is straightforward — and a 7-day free trial lets you validate the platform before committing.