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From gap to published, in four steps.
Every recommendation arrives with a reason, an impact score and a workflow — so AI visibility gaps turn into shipped content and measured lift, not another backlog.
Publish a detailed guide on 'AI-powered security monitoring' — your brand has 0% visibility on this high-intent topic.
Rewrite /pricing page to address negative sentiment: AI engines consistently describe your pricing as 'expensive' with no context.
Create a comparison article: 'Acme vs. your brand for enterprise teams' — Acme claims 71% SOA on this prompt.
Publish updated SLA documentation — AI engines cite a 2022 uptime report leading to low brand presence on reliability prompts.
Topic shows 0% visibility across Perplexity & ChatGPT despite high query volume.
The Improve workflow
Generate & Review → Strategy → Refine → Track Outcomes. A factory line for AI visibility work.
Generate & Review
The engine analyzes your visibility gaps and competitor strengths, then generates prioritized recommendations — each with an action, a reason and an impact score.
Strategy
Approve, reject or edit each recommendation, add your own, and shape the approved set into a strategy with owners and timelines.
Refine
Track every approved item from draft to published. Statuses keep the whole team honest about what's actually shipped.
Track Outcomes
Once work ships, the platform measures what changed — visibility, Share of Answer and sentiment on the topics each recommendation targeted.
Recommendations with receipts
Not generic SEO advice — specific actions tied to specific gaps in your AI visibility data.
Every recommendation explains itself
Each card carries the action, the reason it matters, an estimated impact score and a priority — so you can defend every hour of content work.
- Content to create — new pages for high-value prompts with low visibility
- Pages to optimize — URLs suffering from negative sentiment in AI answers
- Topic expansion — adjacent topics where you have visibility gaps
- Competitor response — counters to rival claims AI keeps repeating
Gemini responses flag pricing as 'unclear and expensive'. Update pricing page comparative table.
A pipeline, not a pile
Review statuses move every item from Pending through Approved, Refining and Completed — your AI visibility roadmap stays a living pipeline instead of a stale audit doc.
- One-click approve / reject on every suggestion
- Add custom recommendations alongside AI-generated ones
- Filter by priority, impact score and status
Proof the work moved the needle
The Impact step closes the loop: for every shipped recommendation, see the change in visibility and Share of Answer on the topics it targeted.
- Before/after metrics per recommendation
- Topic-level SOA lift attribution
- A track record that justifies the next quarter's plan
Explore the rest of the platform
One platform for the full AEO loop — measure, analyze, optimize.
