Site index for AI agents: /llms.txt. Documentation pages under /docs are also served as markdown at the same URL plus .md (e.g. /docs/geo-audit.md) or via an Accept: text/markdown request.

A feed that tells you what to do next.

Q: Where do the recommended actions come from?

From your own data: prompts where you are not yet named, citation changes, competitor movement, audit findings and AI traffic patterns. Every item carries its evidence.

Q: Do we have to act on everything?

No. Approve what fits your roadmap, snooze what does not, and the ranking re-orders as your visibility data changes.

Q: What does the GEO audit cover?

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.

AirPulse turns visibility data into a ranked queue of fixes, each backed by evidence and verified after it ships.

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The opportunities queue in AirPulse: open buyer questions ranked by impact

Ship the fixes that move answers.

Approve the highest-impact work first

The feed ranks the next action across fixes, content and publishing by expected visibility impact, with approve and queue controls built in. Nothing ships without a human yes.

Explore Opportunities

Today's actions

llms.txt live and verifiedDone

Publish: pricing comparison guideApprove

Fix Product schema on homepageQueued

Refresh integrations page, 2 citations to win backQueued

Know what your buyers are really asking

AirPulse clusters the prompts your buyers ask, maps the intent, entities and sources behind each cluster, and shows where your coverage is thin.

Intent clustering. Prompts grouped by objective, stage and buyer language.

Entity gap detection. Products, features, people and proof points your content never mentions.

Competitor answer analysis. How rivals are framed, and which claims engines repeat.

Explore Prompt Analysis

Prompt clusters

Comparison intent18 prompts

best X for Y · X vs alternatives

Problem aware11 prompts

how do I fix… · why does…

Evaluation9 prompts

pricing · integrations · reviews

Turn open questions into content wins

AirPulse lists the prompts where you are not named yet, shows who is, and turns each one into a brief in one click.

Open prompt detection. Prompts where your brand is not named yet, per engine.

Impact scoring. Ranked by demand, competitor gap and effort.

One-click to brief. Each opportunity becomes a structured brief.

Explore Content Gaps

Build the foundation engines read first

An eight-stage audit for answer engines: crawlability, rendering, structured data, llms.txt, entity coverage and source authority, scored and turned into ranked fixes.

Answer-engine specific. Checks what AI crawlers fetch and parse.

Scored and prioritized. A 100-point score with the fixes that move it, in order.

Re-run on demand. Audit again after every change.

Explore the GEO Audit

Prove every fix on your live site

AirPulse re-checks rendered HTML, schema and llms.txt on your live site after each action ships, keeps a ledger of what changed, who approved it and what it moved, and re-runs the affected prompts.

Action shipped

Product schema added to homepage

Live site re-checked

Schema present in rendered HTML

Impact tracked

Affected prompts re-run on your engines

Questions teams ask first

How is this different from an SEO audit tool?

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.

Where do the recommended actions come from?

Do we have to act on everything?

What does the GEO audit cover?