What should you change to improve your AI visibility?
Laup turns your AI Visibility data into evidence-backed GEO Actions, ranked by estimated impact and confidence. See the relevant categories, engines, competitor gaps and source evidence with the recommendation.
Laup AI Optimization
Action plan
12 opportunities
Ranked by impact and confidence
AI analysis
Your largest controllable gap is product information: competing pages answer the comparison questions AI retrieves more completely.
- 92
Add comparable specifications to priority product pages
Product dataRobot vacuums · ChatGPT, Gemini
- 84
Build a buying guide around the questions you are losing
Content gapRobot vacuums · 6 buying questions
- 78
Earn inclusion in the comparisons AI already retrieves
Source gap3 source domains · Copilot, Claude
What you get with Laup AI Optimization.
- A prioritized Action plan
- Start with the opportunities Laup estimates can matter most, ranked by impact and model confidence.
- The case behind every action
- Inspect the measured or inferred evidence, relevant categories, buying questions, competitor gaps and sources behind a recommendation.
- Category and engine scope
- See where the opportunity exists instead of applying the same recommendation across your whole market.
- Concrete implementation
- Move from a diagnosed gap to specific work on product data, content, sources, feeds and technical signals.
- A shared operating queue
- Plan, discuss, implement, measure or dismiss actions without losing the evidence that created them.
- A plan built from your data
- Recommendations come from the answers and evidence Laup measures for you, not a generic GEO checklist.
See the recommendation and the case behind it.
A useful action must explain more than what to do. Laup keeps the diagnosis, evidence, expected mechanism and implementation path together so your team can challenge the reasoning before committing the work.
Illustrative GEO Action
Add comparable specifications to priority product pages
Overview
Competing retailers answer the comparison questions in this category with clearer, more complete product information. Laup sees a controllable product-data gap rather than a lack of demand for your brand.
Evidence
- Affected scope
- Robot vacuums · 6 buying questions
- Engines
- ChatGPT, Gemini and Copilot
- Sources in the answer context
- Editorial reviewsComparison sitesYour product pages
Implementation
Add consistent dimensions, runtime, navigation, surface compatibility and included accessories to the priority product pages. Present the fields in visible HTML and use a comparison table on the category page so people and AI systems can evaluate the same facts.
Achievability: High. The required information already exists in the catalogue; the work is making it complete, consistent and directly comparable.
Move to
Recommendations that can show their work.
The Action plan starts with what AI actually said. Models can diagnose and propose, but they do not get to invent the evidence numbers presented to you.
01
Measured visibility
Laup assembles the answers, categories, engines, competitors, sources and technical readiness it has measured for you.
02
Independent analysis
Multiple models examine the same evidence and propose likely root causes and opportunities from different perspectives.
03
Verification in code
References are checked against your data. Affected questions, competitor gaps and source counts are then computed from verified measurements.
04
Ranked GEO Actions
The result is a prioritized plan with evidence strength, confidence, estimated impact and a concrete implementation path.
GEO is not one change in one place.
AI can draw on learned knowledge, live sources and the information your business publishes. That whole surface is what GEO (Generative Engine Optimization), also called AEO (Answer Engine Optimization), covers. Laup identifies where the evidence points, then turns that diagnosis into work your team can perform.
On your site
Make your offer easier to understand.
Improve product data, comparison content, category landing pages, technical delivery and entity signals where the evidence shows a gap.
Across the sources AI uses
Enter the context behind the answer.
Build a useful presence in the editorial, comparison and community sources that appear around the buying questions you care about.
Across engines and categories
Act where the opportunity exists.
Prioritize the categories, engines and question clusters where a targeted change has a clearer path than a site-wide GEO initiative.
A plan your team can work.
Keep the evidence attached while an opportunity moves from recommendation to implementation and measurement. Park or dismiss work without losing the record.
- 01RecommendedRanked by estimated impact
- 02PlannedQueued to act on
- 03In progressBeing implemented
- 04MeasuringWatching the signal
- 05DoneShipped
Connect your AI Agents with Laup.
Connect through MCP. Let your agents analyze your data, surface likely root causes, perform actions and verify whether the result changed against the underlying evidence.
Turn visibility into action.
Build your Action plan from the categories, engines, answers and sources Laup measures for you.