AthenaHQ is one of the more visible AEO platforms in 2026, built by former Google Search and DeepMind engineers and backed by Y Combinator. It targets mid-market B2B SaaS at $295 to $499 per month with a credit-based metering model. AskRanker is built around the same measurement problem but optimized for the team that has to actually change the page after the scan comes in. The honest comparison.
Where AthenaHQ is right
AthenaHQ has a polished platform with broad engine coverage (ChatGPT, Perplexity, Google AI Overviews and AI Mode, Gemini, Claude, Copilot, Grok all in the Starter tier) and competitive gap analysis tuned for the mid-market enterprise reporter. The team's pedigree shows in the retrieval-side analytics: their entity coverage and citation tracking are genuinely strong. If your job is to present visibility numbers to leadership weekly and the artifact you ship is a slide, AthenaHQ has invested heavily in making that artifact look right.
Where AskRanker is different
We forecast the lift before you ship
AthenaHQ stops at gap analysis: here are the queries you are losing and here is who is winning. AskRanker takes the next step: for each recommended page edit, we predict the mention-rate lift and attach a SHAP-decomposed explanation so the team can prioritize by predicted impact rather than gut. After deploy, we verify the actual lift against the prediction at 14 days. AthenaHQ does not currently ship that loop.
We are billed by query, not by credit
AthenaHQ uses a credit-based system where the Self-Serve plan includes 3,500 credits per month, and credit consumption per scan can quickly outpace the headline price. AskRanker bills per priority buyer question per month, so the cost is predictable from day one and scales linearly with what you measure. For mid-market teams with 50 to 100 priority queries, AskRanker is materially cheaper.
We expose confidence intervals
Mention rate is a probability, and probabilities have confidence bands. AskRanker reports every metric with the 95 percent CI based on the sample size used. AthenaHQ's Starter tier samples each query once per day, which produces noisy point estimates without a band; week-over-week movement under that sampling regime is hard to interpret. We sample 25 to 50 times per query per model by default.
Pick AthenaHQ if
- You are a mid-market enterprise (revenue $10M to $100M) running a polished AEO reporting program for leadership.
- You want a credit-based platform that scales surface coverage broadly across many engines.
- You prefer a more mature dashboard layer over methodology depth.
Pick AskRanker if
- You are the team that has to actually ship the page edits, not just present the numbers.
- You want simulate-before-publish forecasts and verify-after-deploy attribution as part of the workflow, not as a future roadmap item.
- You want predictable per-query pricing rather than a credit-based meter.