AEO Tool Showdown: Who Actually Tracks Agentic Traffic

A thread on r/SEO this week compared the main AEO (Answer Engine Optimization) tools on one narrow question: which one actually tracks agentic traffic — i.e. requests coming from ChatGPT, Perplexity, Claude, and Gemini as the agent itself, not a human clicking through. The answers in the thread were inconsistent, mostly because the category is six months old and nobody agrees on the definition yet.

Here is what each of the main players actually does as of April 2026.

The Tools

• Profound: tracks LLM citation share across ChatGPT, Perplexity, Gemini, Claude. Does not track agentic traffic to your site.
• Otterly.ai: prompt-level citation tracking. Shows which of your pages get cited for which queries.
• BrandRank.ai: brand-mention monitoring inside LLM outputs. Sentiment + competitor context.
• AthenaHQ: agentic-traffic analytics on your own site, via pixel. Shows when an LLM agent visited and what it fetched.
• Peec AI: prompt monitoring + competitive benchmarking across answer engines.

Citation Tracking vs Agentic Traffic

These are two different things and the category conflates them.

Citation tracking means: you prompt ChatGPT / Perplexity / Gemini with a query and check whether your domain appears in the answer. This is a SERP-like problem; you poll the LLMs and record the citations.

Agentic traffic means: when an LLM is browsing the web on behalf of a user (ChatGPT web search, Claude research, Perplexity Pro), it fetches your page server-side. That fetch shows up in your logs with a user-agent like GPTBot or ClaudeBot. Agentic-traffic analytics attribute the visit to the LLM and tie it back to a prompt if possible.

Who Does What

If you want to know whether ChatGPT mentions you: citation tool (Profound, Otterly, Peec). If you want to know whatChatGPT fetched from you: agentic analytics (AthenaHQ, or a custom pixel + log parser). Most teams need both.

The DIY Version

You do not strictly need a tool. Citation tracking is a loop: prompt each LLM with a list of target queries weekly, parse the cited URLs, log. We published a workflow that runs this in a Claude Code session against the Scavio API for the SERP baseline and the ChatGPT / Gemini / Perplexity API endpoints for the LLM side. Runs in 15 minutes a week, covers ~50 queries.

Agentic-traffic tracking is also DIY-friendly if you already have access to your server access logs. Grep for known LLM user-agents, count visits, correlate with response times. The pixel tools exist because most teams do not have easy log access.

What to Pay For

1. If you are a fast-growing B2B brand where CEO wants monthly board-slide numbers: Profound or Peec.
2. If you are a content publisher wanting prompt-level coverage: Otterly.
3. If you are an enterprise site with agentic traffic at scale: AthenaHQ.
4. If you are building this into your own product or doing it for clients: DIY on top of a SERP API + LLM APIs.

The Big Gap

None of the five tools above give you both rich citation tracking and agentic-traffic analytics in one product. You will end up with two subscriptions or one subscription plus a homegrown script. Expect consolidation in this category across 2026.

Full citation-tracking workflow (prompt templates, parser, database schema) is in the AI citation weekly digest workflow. Runs against Scavio + LLM APIs; cheaper than any of the hosted tools once you are past 10 queries.