“Another dashboard told me we’re invisible. Great. Now what?”
Every gap becomes a task with a why, a how, and an impact estimate — ranked so your team always knows what to do next.
Monitoring tells you where you stand. The action plan fixes it.
Most AI visibility tools stop at diagnosis. Peakmark turns every gap into a prioritized, concrete task — draft it, ship it, and watch the score respond.
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Diagnosis without treatment
“Recommendations are generic: ‘create more content.’”
Actions are tied to specific prompts and sources: which page to write, which schema to add, which source gap to close — with the evidence attached.
“We shipped fixes for a month. No idea if they worked.”
Every action links back to the score. Ship, then watch the exact prompts it targeted — before and after, per model.
From gap to shipped fix
A closed loop: detect, prioritize, execute, measure.
Prioritized recommendations
Ranked by expected impact against effort, grounded in your actual gap prompts and missing sources — not a generic checklist.
Drafts in one click
Comparison pages, FAQ sections, answer-ready rewrites — generated from the prompts you’re losing, ready for your team to edit and ship.
Technical and schema fixes
AI crawler access, robots.txt rules, llms.txt, structured data — the plumbing that decides whether models can read you at all.
Impact tracking
Each completed action is annotated on your score timeline. What worked compounds; what didn’t gets cut.
25%
of classic search volume gone by 2026 — the answers moved; your fixes should follow them
Gartner forecast
How the action plan works
Gaps become tasks
Missed prompts, absent sources, and technical blockers convert into concrete recommendations automatically.
You ship the fixes
Draft content in one click and route tasks to your team — publishing integrations connect straight to your CMS.
The score answers back
Actions are pinned to the timeline. Watch targeted prompts flip from absent to recommended — model by model.
Frequently asked questions
- What’s in an AI visibility action plan?
- Three kinds of work: content (pages and rewrites targeting prompts where you’re absent), sources (winning mentions on the sites models cite — review platforms, communities, comparisons), and technical (crawler access, llms.txt, schema). Peakmark generates, prioritizes, and tracks all three.
- How are recommendations prioritized?
- By expected impact against effort: how often the targeted prompts run, how winnable the gap looks based on current sources, and what it takes to ship. High-frequency prompts with weak incumbent sources rank first.
- Does Peakmark write the content for me?
- It drafts. One click turns a gap into an answer-ready draft — structured for AI extraction, grounded in the target prompts. Your team edits for voice and facts, then ships it.
- How do I know an action actually worked?
- Every completed action is stamped on your score timeline, scoped to the prompts it targeted. If the fix works, you see those prompts start naming you within days or weeks — per model, with the answers as receipts.
Explore the rest of the platform
Monitoring, evidence, and execution — every piece feeds the next.
Stop reading charts. Start shipping fixes.
Get a prioritized plan from your first audit — and watch your score respond.
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