Measure every answer engine
Your real buyer questions, run through ChatGPT, Google AI Overviews & AI Mode, Perplexity, Gemini, Copilot and Claude — each grounded on the index it actually retrieves from.
See the engines →Measured across every major AI answer engine
7 engines. 5 platforms. One calibrated score.
OpenAI
ChatGPT
Anthropic
Claude
Gemini · AI Overviews · AI Mode
Perplexity
Perplexity
Microsoft
Copilot
Trademarks are the property of their respective owners. Lokrix AI measures these engines and is not affiliated with or endorsed by them.
Why AI visibility is measurable
AI answers now sit above the ten blue links — and each engine cites a different, measurable slice of the web. Optimizing for them is a discipline, and it starts with the numbers.
- 0%
- of ChatGPT citations match a Bing top-10 result
- 0%
- URL overlap between Google AI Overviews and AI Mode
- 0%
- of Perplexity’s top citations come from Reddit
- +0%
- citation lift from adding expert quotations
Sources: Answer-engine citation-source analyses (2024–2026), summarised in CLAUDE.md §4; Princeton “GEO: Generative Engine Optimization” study (Aggarwal et al., KDD 2024).
01The problem
Six engines. Six different indexes. One score that respects that.
ChatGPT leans on Bing. Google AI Overviews and AI Mode both pull from Google — yet cite the same URL only ~14% of the time. Perplexity runs live search and over-weights Reddit. A credible GEO score has to model each engine as it really behaves, not average them into mush.
- ChatGPT
- Bing
- Bing top-10 rank + freshness
- Google AI Overviews
- Google top-20; separate from AI Mode
- Google AI Mode
- Shares a cited URL with AIO only ~14% of the time
- Perplexity
- Google + Bing (live)
- Over-weights Reddit (~47% of top citations) + freshness
- Gemini
- Google Search grounding; schema-sensitive
- Copilot
- Bing
- Bing grounding; Webmaster “AI Performance” signal
Source: Answer-engine citation-source analyses (2024–2026), summarised in CLAUDE.md §4.
02How it works
From a URL to a probability you can defend.
- 01
Build the prompt universe
Lokrix AI detects your brand and industry and auto-generates the real questions buyers ask AI engines — the prompts that actually decide whether you’re surfaced.
- 02
Sample every engine, K times
Each prompt runs through every engine with browsing/grounding on, K times across temperature, persona and locale, capturing the answer and its citation cards.
- 03
Report a calibrated score + CI
Mentions and citations are detected (URL + brand NER + semantic match) and turned into a Monte-Carlo presence probability with a 95% confidence interval.
Source: Princeton “GEO: Generative Engine Optimization” study (Aggarwal et al., KDD 2024).
03What actually moves the needle
Proven levers — and the honesty to skip the ones that don’t work.
Peer-reviewed research is clear about what raises your odds of being cited: quotations +41%, statistics +40%, authoritative citations +30%. Lokrix AI turns these into prioritized, simulated recommendations for your pages — and will tell you plainly that llms.txt has no measured effect, so you don’t waste a sprint on it.
See how uplift is simulated →04The report
Every number carries its confidence interval.
This is the shape of a Lokrix AI report: a visibility trend where the shaded band is the honest 95% confidence interval — because a single AI answer is a sample, not a fact.
Regressions are flagged. Provenance is badged on every point — live, cached, or predicted. The instrument never dresses a sample as a live measurement.
05The platform
Measure, explain, improve, and automate AI visibility.
A calibrated probability, not a guess
Every prompt is sampled K times across temperature, persona and locale. You get a Monte-Carlo presence probability with a 95% confidence interval — non-determinism handled honestly.
How scoring works →A simulated path to #1
The optimization engine ranks concrete moves by predicted visibility uplift — add quotations, statistics, cited sources, earned-media corroboration — and simulates the lift before you spend a word.
Open the optimizer →Track it over time — and via API
History, trends, regression alerts, and competitor share-of-voice. The whole engine is exposed through a REST API and an integrated MCP server for your own agents.
View history & API →Advertisement
Ad space — set
NEXT_PUBLIC_ADSENSE_CLIENT to serve live ads here.Data honesty as design
We show the confidence interval. That’s the whole brand.
Anyone can print a big number. Lokrix AI samples, shows the interval, discloses the locale and persona, and badges whether each figure is live, cached, or modeled. You get a measurement you can take to a board — and defend.
06Pricing
Pay per scan. No subscription.
Your first scan is free — no credit card required. After that it's a flat $9 per scan, charged only when you run one. No plan to manage, no recurring fees.
Your first scan
Free
No credit card required
Every scan after
$9/ scan
Charged only when you run a scan · no subscription
What every scan includes
- Every answer engine — ChatGPT, Google AI Overviews & AI Mode, Perplexity, Gemini, Copilot, Claude
- An auto-generated prompt universe from your real buyer questions
- A Monte-Carlo presence probability with a 95% confidence interval per prompt
- Feature-level reasoning — why the score, and versus which competitors
- Competitor share-of-voice and gaps
- A prioritized optimization plan with simulated uplift
Need high-volume or API / MCP access? Talk to us for a custom quote.
07FAQ
Straight answers.
- What is Generative Engine Optimization (GEO)?
- GEO is the practice of making a brand more likely to be cited, linked, recommended, or named inside AI-generated answers (ChatGPT, Google AI Overviews, Perplexity, Gemini, Copilot, Claude). It is to answer engines what SEO is to the ten blue links.
- How does Lokrix AI handle the fact that AI answers are non-deterministic?
- Lokrix AI never reports a single run as a probability. It samples each prompt K times across temperature, persona, and locale, then reports a Monte-Carlo presence probability with a 95% confidence interval. Non-determinism is treated as a first-class measurement, not a bug.
- Which answer engines does Lokrix AI measure?
- ChatGPT, Google AI Overviews and AI Mode (treated separately), Perplexity, Gemini, Microsoft Copilot, and Claude — each grounded on the index it actually retrieves from, so the score reflects real engine behaviour.
- Is llms.txt a ranking factor for AI visibility?
- No. There is no measured effect of llms.txt on AI citation rates in current research, so Lokrix AI never sells it as a lever. The proven levers are adding quotations, statistics, and cited sources, plus earned-media corroboration.
- Does Lokrix AI show real live data or estimates?
- Both, always labelled. Every score badges its provenance — live engine run, cached, or predicted by the calibrated model — and every probability shows its confidence interval. Sampled or mock data is marked explicitly and never dressed up as a live measurement.
Find out if AI answers name you.
Run a free report on your site, then unlock live multi-engine scans, history, and the optimization engine.
First scan free · no credit card · provenance on every score