Beyond Blue Links: Otterly.AI vs. AthenaHQ for GEO-Focused Agencies
I’ve spent 11 years in this industry. For the first decade, my agency was obsessed with the ten blue links. We lived and died by Search Console, GSC rank trackers, and the constant, soul-crushing pivot toward whatever Google decided to change in their core algorithm that Tuesday. Then, the ground shifted. My clients stopped asking why they dropped two positions for a high-volume keyword and started asking, "Why aren't we in the ChatGPT summary?" or "Why does Perplexity recommend our competitor instead of us?"


Welcome to the era of Generative Engine Optimization (GEO). If you are an agency lead trying to wrap your head around this, you’re in the right place. We aren't just tracking "rankings" anymore; we are tracking visibility within LLM ecosystems. Today, I’m digging into the two primary players that keep showing up in my agency stack audits: Otterly.AI and AthenaHQ. I’ll also touch on Peec AI as part of the broader landscape, because you need to know who is who before you lock in a contract.
GEO vs. Traditional SEO: Why Your Old Tools Are Broken
If you try to use a legacy rank tracker to measure your success in ChatGPT or Perplexity, you’re essentially bringing a ruler to a knife fight. Traditional SEO rank trackers rely on crawling HTML and parsing SERPs. GEO platforms, by contrast, focus on conversational output, citation extraction, and entity association within Large Language Models.
When I onboard a new client, I tell them the truth: we are no longer optimizing for a search engine that returns a list of URLs. We are optimizing for an AI that acts as a research assistant. This requires a structured geo audit—an assessment of how an LLM perceives your brand, its expertise, and its factual accuracy relative to your competitors.. Pretty simple.
The Contenders: Otterly.AI and AthenaHQ
As an agency integrating geo data in looker studio operator, I have a massive spreadsheet—my "Tool Pricing Gotchas" log—where I track everything from hidden seat costs to non-exportable dashboard data. Here is how these platforms stack up for an agency team just getting started with GEO.
Otterly.AI: The Beginner GEO Platform
If you have a team that is terrified of the technical overhead of LLM prompting and API data, Otterly.AI is likely your landing spot. They’ve done a great job building a UI that feels familiar to traditional SEOs. It’s accessible, the reporting is clean, and the learning curve is gentle. For a beginner geo platform setup, it’s remarkably low-friction.
AthenaHQ: The Power Player
On the other hand, AthenaHQ feels like it was built for the agency operator who likes to see the gears moving. It’s deeper. If you’re already used to running complex SEO audits and want to see how your entity footprint maps against the "knowledge graphs" of various LLMs, this is the tool. It provides more granular control over the queries you track and offers richer insights into why a model is citing a specific source.
The "Peec AI" Perspective
While we are focusing on Otterly and Athena, it’s worth noting that Peec AI has been making waves in the optimization space. In my experience, they function as a specialized tool for those looking to influence the content generation side of things. When you’re evaluating these tools, always ask: does this help me track, or does this help me act?
Agency Operations: Scalability and "The Spreadsheet Test"
You ever wonder why here is where i get grumpy. Every time I see "starting at" pricing without a clear breakdown of credits, I get suspicious. As an agency lead, I have to ask: "What happens when we add 10 more clients to our roster?"
Feature/Metric Otterly.AI AthenaHQ Onboarding Speed Fast/Intuitive Moderate (Steeper Learning Curve) Pricing Model Volume-based (Scale-friendly) Per-seat/Enterprise tiered Data Exportability Solid (API-ready) Excellent (Very deep exports) LLM Focus Broad/Generalist Deep/Technical
My biggest gripe with most modern SaaS platforms is per-seat pricing. It punishes growth. If I have to pay an extra $300/month just to give my junior SEO lead access to the dashboard, the tool better be doing their job for them. When you are looking at these platforms, test their exports. If I can’t move my data into my own SQL database or a Looker Studio dashboard, I don’t trust it. Proprietary silos are where agency profit margins go to die.
What to Track: ChatGPT, Perplexity, and Beyond
Most beginners make the mistake of tracking too much, too early. Start with these three tiers of coverage:
The Brand Authority Test: Are you mentioned as an entity in relation to your category? The Citation Audit: When an LLM gives an answer about your service, are you cited? If not, why? The Intent Shift: Are your competitors capturing the "conversational" search intent better than you are?
You need to track ChatGPT (specifically the GPT-4o model) and Perplexity (which is critical for the "citation-heavy" searcher). One client recently told me wished they had known this beforehand.. If a platform promises "AI visibility" but doesn't show you the specific engine or the specific model being queried, run away. They are likely using a synthetic wrapper that doesn't reflect actual https://bizzmarkblog.com/what-does-ai-mode-mean-in-google-tracking-tools/ user behavior.
Actions vs. Raw Monitoring: The Secret to Retention
Nobody pays an agency to look at a dashboard. They pay for results. This is the biggest differentiator for agency onboarding in the GEO space. Don’t just send a report that says "You are in the citation 40% of the time." That’s a vanity metric. Instead, use these tools to drive a structured geo audit that identifies:
Content Gaps: Does the LLM ignore your content because it lacks structural clarity (Schema/Entity-heavy markup)? Source Credibility: Are your competitors' sites being pulled as "authoritative" because they have better digital PR? Prompt Alignment: Does your copy explicitly provide the "answers" the LLM needs to satisfy user queries?
My Verdict for Agency Operators
If you are a lean, mid-market agency, start by evaluating Otterly.AI for its user experience and ease of scaling. It’s perfect for getting the team acclimated to the new reality without overwhelming them with data bloat. If you are handling complex, enterprise-level clients who demand granular, multi-layer visibility, shift your budget toward AthenaHQ.
Whatever you choose, do not trust the sales demo. Test their API, test the export functionality, and ask them exactly how they define "visibility." If they lock the good stuff behind an "enterprise contact us" wall, proceed with extreme caution. My advice? Keep your own spreadsheets. At the end of the day, you’re the one who has to explain the ROI to the client, not the platform rep. When the LLM algorithms change again—and they will—you want to own your data, not rent it.
Stay curious, keep your spreadsheets clean, and for heaven's sake, stop worrying about your position in the blue links.