Where AI Ranks You vs Competitors (Per Engine)

Position by engine when AI answers about your category. Live demo with Lumos's own data.

By Lumos Team · May 15, 2026

app.trylumos.ai / position

Preview

Citation position distribution

ChatGPT24 prompts

3

8

11

2

Gemini24 prompts

5

13

5

Claude24 prompts

2

7

10

5

Perplexity24 prompts

3

11

10

ChatGPT (es)24 prompts

4

9

11

#1Top 3Top 10Not cited

Position distribution from Lumos — across 24 prompts, by engine. Notice the Spanish-language gap: it's the kind of finding Lumos surfaces automatically.

Want a real scan for your brand?

The example above is a static demo. Sign up to scan your brand: full results in 60 seconds, no credit card.

Get your scan: sign up

Why citation position matters for your brand

Being cited by ChatGPT is a yes/no signal. Where you're cited is the granular one. Position #1 in an AI answer often gets read aloud, highlighted, or quoted — it is the recommendation the buyer hears. Position 5 is usually past where the buyer stops reading. "Not cited" is invisible.

What makes this harder than SEO is the multi-engine, multi-language reality. ChatGPT in English may rank you #1, ChatGPT in Spanish may not cite you at all, Gemini may put you #3 because it grounds on Google-indexed comparison posts that prefer a competitor. You have to track all of them. Average rank hides the gaps.

The Lumos Position view gives you a per-engine, per-language citation map. The preview above shows what that looks like on our own brand data.

What you see inside Lumos

The preview is the actual Lumos Position distribution view, run against 24 prompts. Each row is an engine; the colored bars are buckets — #1 cites, top-3, top-10, and not-cited — sized by count.

When you run the full view on your own brand, you get:

Position bucket counts per engine, so you can see distribution shape at a glance.
The competitors cited above you on each engine, ranked by frequency.
Per-language variants (Spanish, French, German, Italian, Japanese, more), so localization gaps surface automatically.
Why you are under-cited (no fresh page, no schema, no localization, weak source diversity).

The first scan finishes in minutes.

Common citation-position mistakes

Looking only at the engine that is easiest to test. Most teams open ChatGPT in English, see themselves ranked, and stop. Localized engines often tell a different story.

Ignoring the "Not cited" entries. A low rank is fixable. "Not cited" is more fixable — usually it is a content gap rather than a quality problem. Treat "Not cited" as the highest-priority diagnostic.

Optimizing the page that already ranks. If you are #2 in ChatGPT, polishing that ranking is low ROI. The bigger gain is closing the gap on engines where you are #5 or absent.

Confusing rank with traffic. AI citation traffic is hard to attribute. Track rank as a leading indicator — pipeline impact follows in 60–90 days.

Treating multilingual citation as a translation problem. Translating your homepage is not enough. AI engines need fresh, localized comparison content, localized schema, and citations from in-language sources.

Next steps

Run the Lumos Position view on your brand: sign up, see position across engines and languages.
Get a composite score: GEO Score Calculator.
Profile the language: Brand Sentiment Snapshot.
Learn the strategy: What is GEO?, How to appear in ChatGPT.

41%

of brands rank in top 3 in English ChatGPT but absent in non-English variants

Lumos localization study 2026

+34%

citation lift from publishing localized comparison content

Lumos benchmark 2026

How it works

1
Look at the demo
Above: Lumos's own rank distribution across five engines on 24 prompts, including the Spanish-language gap our platform surfaced.
2
Sign up for the full scan
Run citation position on your own brand for prompts that matter to your business.
3
Close the gaps
Lumos shows the source pages and content moves that fix each missing or low position.

FAQ

What does 'citation position' mean?

When an AI engine answers a buyer question by recommending a list of options, your citation position is where you appear in that list. Position 1 is the strongest signal — the engine recommends you first. Position 5 or below often means a buyer scrolls past you. 'Not cited' is invisible.

Why include localized engines?

ChatGPT in Spanish, Gemini in French, and other localized variants behave like separate engines — they ground on different sources, weigh different signals, and rank differently. A brand that's #1 in English ChatGPT can be invisible in Spanish ChatGPT. We surface that gap.

How is this different from the GEO Score?

GEO Score is a single composite number summarizing your overall readiness. Citation Position is the granular view — for one specific prompt, exactly where you rank in each engine and language. Use them together: GEO Score for tracking, Citation Position for diagnosis.

What if my brand is 'Not cited' on an engine?

That's the highest-priority signal. The fix is rarely 'optimize harder for that engine' — it's usually a content gap (no fresh comparison page, no localized version, no schema). Lumos identifies the specific cause and lists the pages you'd need to ship.

Is the demo data real?

Yes — the demo uses Lumos's own citation distribution across 24 prompts, including a Spanish-language gap we surfaced for ourselves. It's the kind of finding the full Lumos scan returns on your brand in real time on your own prompts.

Related tools

AI Visibility Score for Your Brand: Daily, All Engines

Daily visibility score across ChatGPT, Gemini, Claude, and Perplexity. The single number Lumos updates every day.

AI Position Distribution: #1, Top-3, Top-10 or Buried

Where AI cites you on every prompt across every model. Lumos tracks rank position daily.

AI Brand Sentiment Tracker: Across All Engines

Daily positive/neutral/negative sentiment with topic-level themes. Surfaces complaints buried in long AI answers.