How Brands Can Use Seshes.ai Data to Optimize Their LLM Presence
Large Language Models (LLMs) are increasingly shaping user decisions—whether it’s ChatGPT answering a product question or Claude offering a brand recommendation. If your company isn’t tracking how it shows up in AI responses, you’re flying blind in the next era of digital visibility.
Here’s a real-world use case to show how Seshes.ai can surface insights and drive action.
Use Case: Improving LLM Presence for a DTC Skincare Brand
Let’s say you run a fast-growing skincare brand called GlowForm. You’ve dominated Instagram, seen solid SEO growth—but now users are asking LLMs questions like:
- “What’s the best skincare routine for sensitive skin?”
- “Which moisturizers are clean and cruelty-free?”
- “GlowForm vs Cerave vs Drunk Elephant—what’s better?”
You run these prompts through Seshes.ai and uncover the following:
The LLM Audit Report Shows:
| Prompt | ChatGPT | Claude | Gemini |
|---|---|---|---|
| Best moisturizers | Mentioned 2nd | Not Mentioned | Mentioned 4th |
| Clean brands | Mentioned (neutral) | Mentioned (positive) | Not Mentioned |
| Brand comparison | Cerave > GlowForm | GlowForm > Drunk Elephant | No Rank |
Insight #1: You’re only showing up inconsistently across models.
- Presence Score: 53%
- Visibility Score: 31%
Insight #2: Claude mentions your brand positively, but Gemini skips it altogether.
- Sentiment trend: Neutral overall, skewing slightly positive
- Citation footprint: LLMs cite outdated press from 2021
🔧 Recommended Actions
✅ 1. Update Content Strategy
- Claude prefers your new “botanical barrier” line → double down on educational content using that language.
- Gemini doesn’t mention you at all → update structured data and SEO for newer product pages that align with Gemini’s index.
✅ 2. Rebuild Trust with AI Models
- Publish more authoritative content with backlinks—especially from sites LLMs are citing (e.g., Healthline, Allure).
- Create new FAQ-driven pages answering LLM-relevant queries with “clean skincare”, “sensitive skin” keywords.
✅ 3. Use Sentiment Data for Copy Tweaks
- Rewrite older meta descriptions that come off too “salesy.” Claude preferred empathetic, benefit-driven blurbs.
✅ 4. Re-Audit in 2 Weeks
- Use Seshes’ agentic SEO audits to verify technical readiness.
- Rerun the same prompt cluster to measure impact and track improvement deltas.
Outcome
Within 30 days, GlowForm sees:
- Presence Score increase to 74%
- LLM SEO Score improvement of +21 pts
- Sentiment distribution shift: now 62% Positive, 32% Neutral, 6% Negative
Wrap-Up
Seshes.ai turns black-box AI output into measurable, actionable insights for your brand. From visibility tracking to model-specific tuning, you can finally see how you’re seen—and take steps to change it.
👉 Ready to track and improve your LLM footprint?
Start your first Brand Sesh today at seshes.ai
