AirPulse vs Evertune: measurement at scale, or fixes you can verify?
Evertune runs the biggest prompt samples in the category. AirPulse polls fewer prompts and ships the fixes.
Pick Evertune when…
You need brand measurement at scale: 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 published Pro price of $800/month (evertune.ai/pricing, checked 2026-09-09) is steep for your stage.
You want crawler analytics, GSC grounding and shipped remediation.
Feature by feature
| Evertune | AirPulse | |
|---|---|---|
| Engines monitored | 11 AI models on Pro per the pricing page; the June 2026 review listed ChatGPT, AI Mode, AI Overviews, Claude, Gemini, Perplexity, Copilot, Meta AI and DeepSeek by name Checked 2026-09-09 against evertune.ai | ChatGPT and Perplexity on Starter; adds Google AI on Growth and Pro; adds Gemini on Enterprise (2 to 4 engines by plan) |
| Monitoring depth | 100,000 prompts tracked on Pro, daily, weekly or monthly; global language and country tracking; the June 2026 review recorded a 1M+ prompts per brand per month index and the EverPanel real-user panel Checked 2026-09-09 against evertune.ai | Daily prompt runs: citation sightings, source mix, sentiment, category rank |
| Crawler / agent analytics | AI bot analytics for your domain is listed on Enterprise only; not on Pro Checked 2026-09-09 against evertune.ai | Agent Pulse: crawler & agent log analytics, tied to remediation |
| Content execution | 25 AI-optimized articles a month on Pro; unlimited content generation and AI website optimization on Enterprise Checked 2026-09-09 against evertune.ai | Content Pulse: schema-aware authoring |
| Done-with-you remediation | 3 onboarding sessions on Pro; dedicated AI Success Manager on Enterprise; no done-with-you implementation listed Checked 2026-09-09 against evertune.ai | Yes: done with you, verified by live re-audits on production |
| GSC / analytics integration | No GSC or revenue attribution listed on the pricing page Checked 2026-09-09 against evertune.ai | 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 Reviewed June 2026 | Published methodology: control groups, consistent windows, live-verified audits |
| Pricing transparency | Published: Pro $800/mo (100,000 prompts, 11 models, 25 articles a month); Enterprise custom Checked 2026-09-09 against evertune.ai | Published: Starter $89/mo, Growth $179/mo, Pro $399/mo, Enterprise by demo; 14-day free trial, no card |
| Best fit | Enterprise brands + agency holdcos (WPP) Reviewed June 2026 | Mid-market B2B that wants fixes shipped |
Where the two differ
Sample size versus answer-level detail
At a million-plus prompts per brand per month, Evertune's AI Brand Index has confidence intervals nobody polling a few hundred prompts can match, and EverPanel adds real-user behavior. AirPulse polls far fewer prompts because its unit of work is the individual answer: which engine, which source, what it said, and which fix changes it.
Execution
Evertune lists AI bot analytics only on Enterprise, no GSC or revenue attribution, and no done-with-you implementation. AirPulse's loop: 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.
Results, with dates
Newton School: Google AI mention rate 51.4% to 93.3% (Baseline window May 20 to 25, 2026; end window Jun 8 to 10, 2026; Google AI).
Newton School: Blended visibility across four engines 55.8% to 74.2% (May 20 to Jun 10, 2026; Four engines (blended)).
BytePe, PropChk and Airmeet results are on the case studies page with their windows and cohorts.