Ask the buying question that actually matters.
Start from the company and buyer decision, then inspect how individual AI systems respond instead of reducing everything to one visibility number.
AI recommendation analysiscompetitor gapsevidence → action
See when AI recommends your company—and what to change when it doesn't.
Riseklix researches your business, tests the buying questions that matter across ChatGPT, Gemini, Claude, and Perplexity, and shows where you appear, where competitors win, and what to do next.
4AI systems checked
Evidencelinked to every finding
Same testrepeated after changes
$39Pro / month
Results are tied to the company, buying question, market, and AI system being checked.
✦ Built for founders and lean teams. No prompt spreadsheet required.
20–30 SECOND MICRO-GAME
Run the decision trail.
Cross the AI checkpoint. Collect 3 evidence blocks. Unlock the Action Forge. Reach Recheck.
ARROWS / WASD · TOUCH CONTROLS BELOW
RUN COMPLETE
Evidence → action → recheck.
4 systems checked · 3 evidence blocks · action forged
A playable illustration of the workflow—not a live customer result. No Minecraft assets or branding are used.
One buying question / four states
Watch the evidence become a decision.
Riseklix keeps the question, answer, evidence, action, and recheck connected. Scroll normally—the instrument changes while the explanation stays readable.
COMMERCIAL DISCOVERY / DECISION TRACE
01 / CHECK
BUYING QUESTION
Which provider is the best fit for this buyer?
The same commercial decision is checked across supported AI systems.
ChatGPTincluded
Gemininot included
Claudeincluded
Perplexitycited only
01
One question. Four observable answers. No blended score hiding the disagreement.
ANSWERYour company appears in 2 of 4 systems.Observed
SOURCESCompetitor proof is easier to verify.Cited evidence
FINDINGComparison proof is too thin.Supported interpretation
answercitationcompetitorfinding
02
Observation and interpretation stay separate so you can inspect why a finding exists.
ACTION PLAN / 01Make the comparison decision easier to verify.
ready- Clarify fit
State who the offer is for and when it is the better choice.
- Add proof
Use concrete examples, constraints, outcomes, and sourceable evidence.
- Expose tradeoffs
Help a buyer compare alternatives without forcing AI to infer the differences.
03
The finding becomes implementation work—not another chart to interpret.
BEFORE CHANGE2 / 4
systems include your company
AFTER CHANGE3 / 4
systems include your company
Fixed question panel
Same market context
Ongoing Pulse stays separate
04
Recheck the same decision after implementation. Monitor ongoing movement separately.
Follow the answer back to the evidence.
Keep the raw answer, citations, competitor context, and supported finding connected enough to inspect.
Turn the clearest gap into work.
Translate evidence into a practical implementation path for your site, content, positioning, or proof.
Change something. Run the same decision again.
Use a fixed before/after question set to see whether the result moved, while Pulse handles ongoing market and recommendation changes.
What you'll know
Know what's happening. Know why. Know what to do.
Riseklix turns AI answers into three practical decisions instead of one unexplained visibility score.
Where do I show up?
See which AI systems include your company for buying questions tied to your actual business.
Why does a competitor appear?
Open the answer, cited sources, and supporting evidence instead of trusting one blended score.
What should I change?
Turn the clearest gap into a practical action plan, then rerun the same questions after you implement it.
The point
Visibility is useful. Being chosen is what matters.
AI can mention or cite your brand without recommending it. Riseklix separates those signals so you can see whether your company actually makes the shortlist.
What you get
Four useful outputs. No analyst training required.
Each part of Riseklix answers the next practical question instead of leaving you with another dashboard to interpret.
See where you're included.
Know which AI systems recommend your company for the buying questions that matter.
See what shaped the answer.
Review the response, cited sources, and competitors that appeared.
Know what to change.
Turn the clearest gap into a practical plan for your site, content, or evidence.
See whether it worked.
Repeat the same questions after your changes, then monitor what moves over time.
Riseklix Research
See the research behind how we measure AI discovery.
We publish our studies, methods, experiments, and limitations at ai.riseklix.com so you can inspect how we define recommendations, citations, and change over time.
Signal
Recommendation and citation are different.
A brand can be cited without being the recommended choice. Our research keeps those signals separate.
Method
Different AI systems can disagree.
We report the model, surface, timing, geography, and evidence instead of hiding everything inside one score.
Riseklix Observatory / Field signals
Original research, with the sample still attached.
08 SEP / AI PANEL5 × 48 → 240
Five engines, 48 commercial questions, 240 recorded answers. Single-day India-focused pilot.
07 SEP / BUYER EVIDENCE12 / 6 / 1112 public URLs, six vendors, 11 usable text observations. Qualitative review, not a ranking.
05 SEP / SOURCE CONFLICT3 / 3All three sampled AEO/GEO list publishers placed themselves first. Source-review finding, not a winner.
Earlier Riseklix work
Need our earlier marketing services or portfolio?
Riseklix is product-first now. The marketing services and portfolio are still available here.
Start with your company