Act · Recommendations

A feed that tells you what to do next.

Dashboards report. AirPulse recommends. Visibility data becomes a prioritized queue of fixes, content and publishing actions, each one backed by evidence and verified after it ships.

8audit stages, from crawlability to answer readiness
100+opportunity signals monitored per brand
1queue, ranked by visibility impact
100%of shipped actions re-verified on your live site
From data to done

Less decoding, more shipping.

Five capabilities that turn measurement into movement, in the same place your team already reviews the numbers.

Action feed

Log in, see what matters, approve it

One marketer should be able to run this daily in minutes. The feed surfaces the next most valuable action across fixes, content and publishing, ranked by expected visibility impact, with approve and queue controls built in.

Prioritized by impact. Actions ranked against your prompt set, not generic best practice.
Approve or queue. You stay in control. Nothing ships without a human yes.
Always fresh. New gaps, lost citations and competitor moves land in the feed as they happen.
Today's actions4 new
llms.txt live and verifiedDone
Publish: pricing comparison guideApprove
Fix Product schema on homepageQueued
Refresh integrations page, 2 lost citationsQueued
Ranked by visibility impact. Refreshed as your data changes.
Prompt analysis

Understand the questions behind the answers

AirPulse collects and clusters the prompts your buyers ask, maps the intent, entities and sources behind each cluster, and shows where your coverage is thin. That is where the next brief comes from.

Intent clustering. Prompts grouped by objective, stage and buyer language.
Entity gap detection. The products, features, people and proof points your content never mentions.
Competitor answer analysis. How rivals are framed, and which claims engines repeat.
Prompt clusters
Comparison intent18 prompts
best X for YX vs alternatives
Problem aware11 prompts
how do I fix…why does…
Evaluation9 prompts
pricingintegrationsreviews
Entity and citation gaps mapped per cluster, ready to become briefs.
Content opportunities

Catch the answers you are losing

Every prompt where AI answers without you is a gap a competitor fills. AirPulse lists your missed opportunities, shows who wins them today, and turns each one into a content action with a single click.

Missed prompt detection. Queries where your brand was absent, per engine, updated continuously.
Impact scoring. Ranked by demand, competitor gap and effort, so ideas stop looking equal.
One-click to brief. Approve an opportunity and it becomes a structured brief in the queue.
Missed opportunities dashboard in AirPulse
GEO audit

Fix the foundation engines read first

An eight-stage technical and content audit built for answer engines: crawlability, rendering, structured data, llms.txt, entity coverage and source authority, scored and turned into ranked fixes rather than a PDF that gathers dust.

Answer-engine specific. Checks what AI crawlers actually fetch and parse, not just what Googlebot sees.
Scored and prioritized. A 100-point score with the fixes that move it, in order.
Re-run on demand. Audit again after every change and watch the score respond.
GEO audit report in AirPulse
Live re-verification

Done means verified, not assumed

Plenty of tools mark a task complete when you click a checkbox. AirPulse re-checks your live site after each action ships, keeps a ledger of what changed and when, and re-runs the affected prompts so impact is measured, not hoped for.

Live site checks. Rendered HTML, schema and llms.txt confirmed in production.
Action ledger. A durable record of every change, who approved it, and what it moved.
Prompt re-runs. Affected prompts re-measured so the loop closes with evidence.
Verification ledger
Action shipped
Product schema added to homepage
Live site re-checked
Schema present in rendered HTML
Impact tracked
Prompt set re-run on 4 engines
Done means verified on your live site, not checked off a list.
FAQ

Questions teams ask first

A classic audit hands you a checklist and leaves. AirPulse ties every recommendation to the AI answers it should move, ranks the queue by visibility impact, and re-verifies your live site after each fix so the loop actually closes.

From your own data: prompt visibility gaps, lost citations, competitor wins, audit findings and AI traffic patterns. Every item carries its evidence, so you can see why it is in the queue before you approve it.

No. The feed is a prioritized queue, not a to-do mandate. Approve what fits your roadmap, snooze what does not, and the ranking re-orders as your visibility data changes.

An eight-stage pass over crawlability, rendering, structured data, llms.txt, content structure, entity coverage, source authority and answer readiness, scored so you know what matters first.

Stop decoding dashboards. Start approving actions.

See the feed running on your own brand's data in a live walkthrough.