AthenaHQ vs Scrunch AI vs Evertune: Which Enterprise GEO Platform Wins in 2026?
A three-way breakdown of AthenaHQ, Scrunch AI, and Evertune on engine coverage, pricing, evidence quality, and who each platform actually fits in 2026.
AthenaHQ, Scrunch AI, and Evertune keep showing up in the same shortlist because they're all answering the same question, how does a brand actually appear across ChatGPT, Perplexity, Gemini, and the rest of the AI answer engines, but they answer it in genuinely different ways and at genuinely different prices. The price spread alone is worth noting before you read the feature lists: Scrunch AI starts at $250/mo while Evertune starts at roughly $800+/mo, and neither number tells the whole story once you configure real coverage.
Bing's AI Performance report covers Copilot citations. It is not a ChatGPT prompt log.
AthenaHQ is the best-reviewed workflow in the category, undercut by a credit meter that turns $295/mo into a moving target. Scrunch AI is the most differentiated idea on this list, wrapped in a monitoring layer reviewers consistently call thin. Evertune is the most rigorous methodology in the category, priced and packaged to be invisible below Fortune-500 budgets.
AthenaHQ vs Scrunch AI vs Evertune at a glance
| AthenaHQ | Scrunch AI | Evertune | Promptwatch | |
|---|---|---|---|---|
| Starting price | Free tier; $295/mo Starter | $250/mo (annual) | Custom (reported ~$800+/mo) | Free (Explore); $95/mo Essential |
| Category | Enterprise GEO platform | Enterprise GEO platform | Enterprise GEO platform | Full-stack AI visibility / GEO platform |
| Engine coverage | 9 engines on Starter, but single-country; multi-market pushes you to Enterprise | Up to 9 engines on Enterprise; data refreshes weekly, not daily | 10+ models tested via direct API access; research-grade sampling, not a live day-to-day dashboard | 10+ engines incl. ChatGPT, Gemini, Claude, Perplexity, Copilot, Grok; daily refresh on paid plans |
| Evidence / trust signal | Unified GEO score blending citations, sentiment, and traffic impact; G2 ~4.9/5 | Weak native reporting is the top G2 complaint, users export to Excel to build client charts | Each prompt sampled ~100 times, 1M+ prompts per brand monthly, the most statistically rigorous methodology here | Citation analytics on Essential; live AI crawler logs on Professional or agency plans; 4.7/5 on G2 |
| Action layer | Action Center turns every insight into an assignable optimization task, schema, reformatting, LLM metadata | Agent Experience Platform (AXP) serves AI-optimized page variants directly to LLM crawlers | None, strategic reports only, no content generation or crawler logs | Content Agents plan, write, and publish GEO content to a connected CMS |
| Best for | an execution-focused team that will work an action queue daily and can stomach credit-based billing | a content-heavy site that wants the crawler-side serving layer and has engineering support to set it up | an enterprise brand or insights team that needs statistically defensible AI perception data and has the budget for it | a team that wants prompt tracking, citation analytics, and automated content, plus crawler logs on Professional or agency plans |
Where AthenaHQ wins
AthenaHQ's case rests on the best data-to-action workflow in the category, every insight becomes an assignable task, plus a founding team with real search pedigree and near-4.9/5 G2 reviews. Built by ex-Google Search and DeepMind engineers, YC-backed, with a near-4.9/5 average on G2. The trade-off: the credit-based billing is unpredictable (G2 reviewers report burning a month's allocation in a week), and Starter is locked to a single country.
Where Scrunch AI wins
Scrunch AI's case rests on a genuinely unique lever nothing else here has, its AXP serves AI-optimized page variants straight to LLM crawlers without touching the human-facing site. Acquired by Sitecore for a reported ~$225M in June 2026, which brings resources but ties the roadmap to a DXP vendor. The trade-off: the monitoring half draws consistent G2 complaints (weak reporting, per-engine credit burn, vague recommendations, weekly refresh), and its roadmap now answers to Sitecore.
Where Evertune wins
Evertune's case rests on boardroom-grade rigor, each prompt sampled roughly 100 times across 10+ models, with confidence intervals a research team can actually defend, plus a Trade Desk activation pipeline no rival offers. Founded by Trade Desk veterans with about $19M raised, though public reviews are genuinely sparse. The trade-off: pricing is opaque by design, onboarding runs weeks like a consulting engagement, and almost no independent reviews exist to check the claims against.
Action layer: who does something with the data?
This is where the three genuinely split. AthenaHQ (an Action Center that turns insights into assignable optimization tasks) and Scrunch AI (an Agent Experience Platform that serves AI-optimized pages directly to LLM crawlers) both go beyond pure measurement, while Evertune stays deliberately monitoring-only. If someone on your team is ready to act on findings without a separate tool, weight that over raw tracking depth.
Pricing: sticker price vs configured price
Sticker prices rarely survive contact with a real configuration. AthenaHQ: Free Essential (300 credits), $295/mo Starter (9 engines, single country, credit-metered), Enterprise custom ($2,000+/mo) for ACE Citation Engine, personas, multi-region. Scrunch AI: $250/mo Starter annual ($300 monthly, 3 seats, 350 custom prompts), $417/mo Growth annual, Enterprise custom with SSO/SOC 2/data API. Evertune: No self-serve pricing; third-party sources cite a Pro plan around $800/mo and enterprise floors near $3,000+/mo, both unconfirmed without a sales cycle. Price your actual engine list, prompt volume, and seat count against each of these before treating any single number as the real cost of ownership.
Who should pick which
- Pick AthenaHQ if you're an execution-focused team that will work an action queue daily and can stomach credit-based billing.
- Pick Scrunch AI if you're a content-heavy site that wants the crawler-side serving layer and has engineering support to set it up.
- Pick Evertune if you're an enterprise brand or insights team that needs statistically defensible AI perception data and has the budget for it.
FAQ
Which of the three is cheapest for a small team?
Scrunch AI has the lowest entry price at $250/mo, and that tier includes 3 seats, 350 custom prompts, weekly refresh. Evertune's roughly $800+/mo entry point buys considerably more out of the gate, so "cheapest" and "best value" aren't always the same tool.
Which one has the most trustworthy data?
AthenaHQ has the strongest independent review signal of the three: built by ex-Google Search and DeepMind engineers, YC-backed, with a near-4.9/5 average on G2. Scrunch AI: Acquired by Sitecore for a reported ~$225M in June 2026, which brings resources but ties the roadmap to a DXP vendor. Evertune: Founded by Trade Desk veterans with about $19M raised, though public reviews are genuinely sparse. Treat every AI-tracking vendor's accuracy claims as directional rather than exact, and cross-check a sample of results manually before reporting them upward.
Do any of these three help me fix visibility gaps, or just report them?
AthenaHQ (via an Action Center that turns insights into assignable optimization tasks) and Scrunch AI (via an Agent Experience Platform that serves AI-optimized pages directly to LLM crawlers) do; Evertune doesn't, Evertune is deliberately monitoring-only.
Do I need all three, or should I pick one?
Running two overlapping trackers rarely earns its keep, pick the one whose category (tracking-only, action-oriented, or research-grade) matches how your team actually works, and revisit the others only if that gap becomes obvious. See how we rank for the criteria we weigh across every platform in this category.