Glossary of Seshes Scores

How we quantify AI visibility, sentiment, and SEO performance—one Sesh at a time.
Shareable for clients, partners, and product walkthroughs.

Weighted Visibility Score

How prominently your brand ranks across LLMs—factoring in each model’s traffic weight.
This is your main “ranked presence” signal.

Formula:

For each result:
Score = (max_rank – rank) × model_weight
Final score = weighted average across all LLMs

Why it matters:
Ranking 2nd in ChatGPT counts more than ranking 1st in a fringe model. This score reflects real exposure.

Presence Score

How often your brand is mentioned, regardless of rank.
Think of it as raw frequency—did the model say your name or not?

Formula:

Count of sessions where your brand is mentioned ÷ total sessions

Why it matters:
Some mentions are buried deep. Presence tells you if you’re in the game at all.

LLM SEO Score

Blends visibility and presence into one performance index.
A composite for AI discoverability.

Formula:

LLM SEO Score = (Weighted Visibility + Presence) ÷ 2

Why it matters:
High visibility but low frequency? Or lots of mentions but never top-ranked? This balances both worlds.

Sentiment Score

Analyzes tone per model (and overall), scaled from -1 (negative) to +1 (positive).

Per Model Formula:

Sentiment = average sentiment polarity across responses

Overall Formula:

Average of all per-model sentiment scores

Why it matters:
Mentioned a lot—but framed negatively? This is your reputation pulse across AIs.

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Score Example (with usage weights)

Let’s say your brand ranked:

• 2nd on ChatGPT (weight = 1.0)
• 1st on DeepSeek (weight = 0.05)

Weighted Visibility Score =

((10 – 2) × 1.0) + ((10 – 1) × 0.05) = 8 + 0.45 = 8.45

ChatGPT drives the score; fringe LLMs don’t skew it. Real-world exposure wins.

Additional Signals

Not scored, but shown alongside scores in each Sesh:

• Citation Domain: Where do LLMs link when they mention you?
• Tone Analysis: How are you framed in AI language?
• Funnel Fit: Are you mentioned in TOFU vs BOFU queries?
• Model Spread: How consistent is your visibility across LLMs?

Where Scores Show Up

• Brand Sesh Reports: Visibility, Presence, Sentiment, Citations
• Comp Seshes: Side-by-side with competitors
• Hybrid Seshes: Scores mapped against GA4 + GSC pages
• Audit Seshes: Includes LLM SEO Score + technical content fixes

One Score ≠ the Full Story

Seshes scores are diagnostic lenses. Each tells a piece of how LLMs see you.

Want to see how your brand scores?
👉 Start a Brand Sesh or schedule a demo.