AIRPULSE VS EVERTUNE · COMPARISON · JUNE 2026
AirPulse vs Evertune: measurement at scale, or fixes you can verify?
Evertune runs the biggest prompt samples in the category — a statistician's approach to AI brand perception. AirPulse is an operator's approach. The right pick depends on which question you're asking.
TL;DR — the honest verdict
Pick Evertune when…
- You need statistically robust brand measurement: 1M+ prompts per brand per month, plus EverPanel's 150M+ real-user prompt panel.
- You're an enterprise brand or agency holdco — Evertune's WPP channel makes it a natural fit inside big-agency stacks.
- Your question is “how does AI perceive my brand?” at index level, with unlimited competitor tracking.
Pick AirPulse when…
- Your question is “which exact answers and sources do we fix first?” — prompt-level detail over aggregate indices.
- The reported ~$3,000/month annual floor (third-party, as of June 2026) is steep for your stage.
- You want crawler analytics, GSC grounding and shipped remediation — not measurement alone.
Side by side
 Evertune | AirPulse | |
|---|---|---|
| Engines monitored | 9 incl. Meta AI and DeepSeek: ChatGPT, AI Mode, AI Overviews, Claude, Gemini, Perplexity, Copilot | ChatGPT, Claude, Perplexity, Gemini, Copilot |
| Monitoring depth | AI Brand Index at 1M+ prompts/brand/month; SOV, sentiment, unlimited competitors; EverPanel real-user prompt panel | Daily prompt runs: citation sightings, source mix, sentiment, category rank |
| Crawler / agent analytics | No crawler-log/agent analytics beyond a GEO site audit | Agent Pulse — crawler & agent log analytics, tied to remediation |
| Content execution | Content activation, plus Strength & Opportunity URLs | Content Pulse — schema-aware authoring |
| Done-with-you remediation | No done-for-you implementation | Yes — done with you, verified by live re-audits on production |
| GSC / analytics integration | No revenue attribution | GSC integration; control-brand analysis on your own analytics |
| Evidence standard | Scale itself: largest prompt samples in category; Athenahealth, Roku, Virgin Voyages, Canada Goose, Miro | Published methodology: control groups, consistent windows, live-verified audits |
| Pricing transparency | Undisclosed/demo-gated; reported ~$3,000/mo on annual terms (third-party, as of June 2026) | Engagement-based, scoped with you up front |
| Best fit | Enterprise brands + agency holdcos (WPP) | Mid-market B2B that wants fixes shipped |
Where the real differences are
The statistician and the operator
Evertune's bet is that sample size beats everything: at a million-plus prompts per brand per month, its AI Brand Index has confidence intervals nobody polling a few hundred prompts can match, and EverPanel adds real-user behavior most vendors only simulate. If you're a CMO defending brand health to a board, that rigor is the product. AirPulse polls far fewer prompts — deliberately — because our unit of work isn't the index, it's the individual answer: which engine, which source, what it said, and which fix changes it.
Aggregates don't ship fixes
Evertune's gaps are the operator's checklist: no crawler-log or agent analytics beyond a site audit, no revenue attribution, no done-for-you implementation, and an orientation toward aggregate scores over prompt-level detail. AirPulse's whole loop lives in that gap — Agent Pulse reads crawler behavior, Content Pulse drafts the schema-aware fix, our team ships it with yours, and a live re-audit confirms it landed. Newton School's Google AI mention rate went from 51.4% to 93.3% on full-run windows because five specific fixes shipped on five specific dates — that causality chain is what small-sample, high-touch measurement buys.
These are verified outcomes we publish with methodology — consistent measurement windows, control comparisons, and live re-audits before any score ships.
- Newton School: Google AI mention rate 51.4% → 93.3% (May 20–25 vs Jun 8–10 full-run windows), category #1 in every single run.
- AirPulse on itself: branded clicks +235% while a control brand declined 14% over the same window — we ran the placebo test on our own numbers.
Frequently asked questions
What makes Evertune different from other AI visibility tools?
Scale. Evertune samples over a million prompts per brand per month — the largest in the category — and its EverPanel draws on a 150M+ real-user prompt panel. It raised a $15M Series A in August 2025 ($20M total) and works with brands like Roku, Virgin Voyages and Miro.
How much does Evertune cost?
Pricing is undisclosed and demo-gated. Third-party sources report roughly $3,000/month on annual terms — about a $36K/year floor — as of June 2026; treat that as reported, not quoted.
Does Evertune fix AI visibility problems or just measure them?
Evertune offers content activation and identifies strength and opportunity URLs, but there's no done-for-you implementation and no crawler-log/agent analytics beyond a site audit. Execution stays with your team or your agency.
Why does AirPulse poll fewer prompts than Evertune?
Different instrument for a different job. Index-grade measurement needs massive samples; remediation needs depth per answer — engine, source, phrasing, and the fix. We publish our methodology (consistent windows, control brands, live-verified audits) so the smaller sample is auditable rather than asserted.
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