AirPulse Review (2026): AI Visibility With the Fixes Shipped, From $89 a Month
Most AI visibility tools stop at the dashboard. They tell you that ChatGPT names a competitor on a buying question, and then the fix is your problem. AirPulse is built on the opposite premise. Its homepage does not say “measure your AI visibility”. It says “We get your brand recommended by AI”, and the product is organised as a loop: measure, act, grow, repeat.
That makes it the most operational of the newer tools we have looked at, and also the one whose pricing and positioning need the most careful reading. This review covers what AirPulse measures, what it costs, how the action and publishing loop works, who it fits, and where its job ends. Every price below was checked on the AirPulse pricing page on 6 October 2026. For the wider field, see our comparison of AI visibility tools.
What AirPulse is
AirPulse was born inside Airmeet, the virtual events platform, when Airmeet’s own buyers started asking ChatGPT which events tool to use. The team built the tool to fix their own answers, then productised it. Its about page gives 2025 as the year it started and a California address, the footer says “Built by the team behind Airmeet”, and the site lists SOC 2 Type II compliance and a GDPR data processing agreement on request.
Two things set the pitch apart from the rest of the category.
First, it is sold two ways. There is the platform, from $89 a month, which your team runs. And there is the “managed engine”, where AirPulse’s strategists and agents run the whole AI search program for you, and you approve what ships. The managed service is scoped on a 45-minute strategy call, with no published price.
Second, it is vertical-led. The homepage speaks to real estate developers, high-value direct-to-consumer brands, fintech, professional services and EdTech, with sample buyer questions for each. Several of the examples and case studies are Indian brands, which fits Airmeet’s roots. If you sell to a B2B SaaS buyer in the US, the product still applies, but the marketing was not written for you.
What it measures
AirPulse runs your buyers’ questions daily and records, per engine, whether your brand is named in the answer and whether your page is cited as a source. From that it reports:
- A visibility score by engine, and your share of answers against each competitor on a heatmap.
- Citation share: the proportion of sources cited on your prompt set that are yours.
- Category rank: where you sit in the list of brands the engine keeps naming.
- AI traffic, by connecting Google Analytics and Search Console, so the citation data sits beside the clicks.
The engines are where you have to read the plan card closely. The homepage says results are measured in ChatGPT, Perplexity, Gemini and Google AI. The pricing page is more specific: Starter tracks ChatGPT and Perplexity only, Growth and Pro add Google AI, and Gemini and “additional engines” arrive on Enterprise. There is no Claude, Copilot or Grok coverage on any self-serve plan.
To its credit, AirPulse has published more about measurement than most vendors. Its research section includes a study of 30,504 responses on how many times a prompt has to be run before the result is stable, a methodology page, and a guide to proving that a change actually worked. That is the right instinct for a category where, as we keep saying, every tool measures a synthetic approximation of a non-deterministic system.
The loop: act and grow
This is the part AirPulse is selling, and it is more built-out than we expected.
Act. Open questions (the ones where you are not named) feed a prioritized action feed. Beside content gaps, the feed covers technical blockers: a GEO audit of rendering, schema, sitemaps and llms.txt, with the fix attached. Reddit Intelligence classifies the threads that answer engines cite into reputation risk, buyer questions, competitors and trending, and drafts replies for review. The site is explicit that it never auto-posts.
Grow. Each open question becomes a content brief, then a draft written from the sources the engines already cite, with FAQ and Product schema included. The draft publishes through a WordPress plugin or to an AirPulse-hosted blog, and a brand studio holds your verified positioning and product facts so drafts stay grounded. Nothing goes live until you approve it.
Re-verify. After you publish, AirPulse re-asks the questions and reports the before and after: how many of your tracked questions now name you, per engine. A weekly digest email lists what moved.
There is also an MCP server in beta that exposes visibility, citations and audit tasks to Claude Code, Codex and other agent clients, and something called the Pulse Network, which the site says “earns mentions where engines already look”. Ask what that means in practice on the demo call. Earned mentions on pages the engines trust are the most valuable thing in this category, and also the easiest to over-promise.
Verified pricing (October 2026)
| Plan | Price | Engines | Tracked prompts | What is added |
|---|---|---|---|---|
| Starter | $89/mo | ChatGPT, Perplexity | 25 per brand | 30 analysis runs a month, content drafts you accept or edit |
| Growth | $179/mo | + Google AI | 50 per brand | Share of answers per competitor, Search Console integration |
| Pro | $399/mo | ChatGPT, Perplexity, Google AI | 100 per brand | Agent workflows and the action feed, priority support |
| Enterprise | By demo | + Gemini and additional engines | Unlimited | Multi-brand and agency workspaces, dedicated onboarding |
A tracked prompt is one buyer question checked daily. An analysis run is one full re-ask across your plan’s engines. Yearly billing is 10% off, there is a 30-day money-back guarantee on annual plans, every plan has a 14-day free trial with no card, and a startup discount is available for companies under $5M ARR and 50 employees. The free audit runs on your domain without a login and emails a report.
Three things to notice before comparing this with the rest of the market:
- Every self-serve plan covers one brand. Agencies and companies with several brands run on Enterprise, with prompts pooled across clients. There is no $179 agency play here.
- The action feed is a Pro feature. The thing AirPulse is best known for, the prioritized queue with fixes attached, is listed on the $399 plan. Starter and Growth get drafts, not the feed.
- Engines are the upsell. Two engines at $89 is thin next to the newer flat-price tools. If Gemini matters to your buyers, you are on an Enterprise call.
Who it fits
Teams that want the work done, not described. If your honest situation is “we have no one to write the comparison page and fix the schema”, the managed engine is a real option, and the self-serve Pro plan is the closest a software product in this category gets to a done-with-you service.
Considered-purchase brands in AirPulse’s named verticals. Real estate, D2C with high ticket sizes, fintech, professional services and EdTech get vertical-specific prompts, case studies and sales material. That is rare in a category built almost entirely for SaaS.
Marketing teams that already publish on WordPress. The plugin plus the re-verification step is a clean loop for a team that ships content weekly and wants to see the engines react.
The honest caveats
Everything we said about the category in the comparison post applies here. AirPulse samples a synthetic prompt panel, not real buyer conversations. AI answers are non-deterministic, so a score is a trend, not a truth. AirPulse’s own 30,504-response study is a candid admission of that second point: the number of runs it takes to get a stable answer is the number most dashboards quietly skip.
Beyond the category-wide limits, five AirPulse-specific ones:
- Thin engine coverage at the entry price. Two engines for $89, three for $179. Otterly tracks four at $29 and Cituna seven at $39. If your buyers ask Gemini, Claude or Copilot, AirPulse’s self-serve plans do not see them.
- The pricing table and the marketing disagree. The homepage headline lists Gemini among the engines results are measured in; the pricing page puts Gemini on Enterprise only. The llms.txt file for AI agents claims Claude and Copilot coverage that no plan card mentions. Confirm the engine list for your plan in writing.
- One brand per plan. Multi-brand and agency use is a demo-only conversation, with no published price.
- It is half an agency. The managed engine, the strategy call, the Pulse Network and the done-with-you framing mean the best version of AirPulse involves their team doing work for you. That can be exactly right, but it is a services relationship with a software price list attached, and the case study results on the homepage (a mention rate going from 51.4% to 93.3% in three weeks, a citation rank moving from #4 to #3) are vendor-reported outcomes from that combined effort, not from the dashboard alone.
- Short public track record. Founded in 2025, a small number of G2 reviews, and a single-digit set of case studies. The product looks mature for its age, but the age is what it is.
Where AirPulse ends and the content work begins
AirPulse goes further down the production line than any monitoring tool we have reviewed: it drafts the page, publishes it to WordPress and checks whether the engines noticed. For a team whose entire content operation is “write pages that AI search will cite”, that may be the whole job.
Most marketing teams have a bigger job than that. The page that wins a ChatGPT answer is one piece. The email that tells your own list about it, the LinkedIn post, the landing page with the form, the follow-up when someone fills it in, and the chat that answers an AI-referred visitor who lands mid-conversation: none of that is AirPulse’s business, and AirPulse does not claim it is. Equally, Marqeable does not track or tune how you show up in AI search. The two stop where the other starts.
So the loop for a team running both looks like this:
- AirPulse finds the gap and the fix. The action feed says a buyer question names a competitor, and the schema on your pricing page is broken.
- The technical fix ships in AirPulse. Schema, sitemap and llms.txt corrections are its job, with the live re-audit to prove it.
- The content becomes a campaign brief in Marqeable. The target question and the sources go into one brief, and an agent drafts the post plus the email and LinkedIn post that promote it, in your voice.
- A person approves each piece. Suggestions sit beside the passage, teammates comment in threads, and nothing publishes or sends until someone marks it Ready.
- Both tools prove the movement. AirPulse re-asks the engines and reports whether the answer changed. Marqeable’s attribution shows whether the visit became a lead and the lead became revenue.
For more on the half no visibility tool measures, see how AI search chooses its sources and AI Overviews and B2B traffic.
Frequently asked questions
What is AirPulse?
An AI visibility platform built by the team behind Airmeet. It checks your buyers’ questions daily in ChatGPT, Perplexity and Google AI (Gemini on Enterprise), reports where you are named and cited against competitors, turns gaps into a prioritized action feed with drafts attached, publishes fixes to WordPress or a hosted blog, and re-asks the engines to verify the change. It is sold as software from $89 a month or as a managed service.
How much does it cost?
Verified in October 2026: Starter $89/month (two engines, 25 prompts), Growth $179 (three engines, 50 prompts, Search Console), Pro $399 (100 prompts, action feed and agent workflows) and Enterprise by demo. Yearly is 10% off, every plan has a 14-day trial with no card, and the managed service is priced on a call.
How is it different from Profound or Otterly?
It sells the loop after measurement: drafts, publishing, re-verification and an optional managed team. The trade is engine coverage, which is narrower at every self-serve price point than Otterly’s and far narrower than Profound’s Enterprise tier.
Who is it for?
Lean marketing teams at considered-purchase brands that want the fixes shipped. AirPulse names real estate developers, high-value D2C, fintech, professional services and EdTech. Agencies and multi-brand companies need Enterprise.
The bottom line
AirPulse takes the right side of the argument we have been making since our first comparison: a visibility score nobody acts on is a scoreboard without a game. Its action feed, publishing loop and re-verification step are the most complete answer to “now what?” we have seen in this category, and the 14-day trial without a card is a fair way to test it. Against that, engine coverage is thin at every self-serve price, the pricing page and the marketing do not agree on what you get, every plan is one brand, and the headline results come from a managed program rather than the software by itself.
If your buyers live in ChatGPT and Perplexity and you want someone to ship the fixes with you, run the free audit and take the call. Then remember the rest of the job: the page that wins the answer still has to be promoted, the reader still has to become a lead, and the lead still has to become a customer.
See the after-the-click half live: Marqeable’s agents draft and publish your content, run your campaigns, answer and qualify every visitor with AI website chat, follow up through automations, and tie revenue to the exact message with attribution.
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