AI Platforms

Track your brand across every AI engine

ChatGPT, Claude, Gemini, Perplexity, and Grok answer the same buyer question differently, and each one routes real purchase decisions. Rankry tracks how every engine mentions, ranks, cites, and recommends your brand, so you can fix the model that is actually costing you.

Track my AI visibility
ChatGPT

ChatGPT

The first place most buyers ask. Track mentions, shortlists, and recommendations in ChatGPT.

Track ChatGPT
Claude

Claude

Cautious and consensus-driven. Track how Claude mentions, ranks, and cites your brand.

Track Claude
Perplexity

Perplexity

Citation-first. Track whether Perplexity cites your domain as a source, and which rivals win it.

Track Perplexity
Gemini

Gemini

Grounded in Google. Track how your search authority carries into Gemini answers.

Track Gemini
Grok

Grok

Real-time and recency-biased. Track how Grok represents your brand as conversation moves.

Track Grok

DeepSeek

Fast-growing and reasoning-first. Track a rising channel before it becomes a blind spot.

Track DeepSeek

Google AI Overviews

AI summaries atop Google Search. Track whether Overviews cite and recommend your brand.

Track Google AI Overviews
Why per-model

One blended score hides where you lose

The engines disagree often, and the disagreement is the insight. Tracking each one separately turns a vague "improve our AI visibility" into a specific list of which engine, which prompt, and which competitor to fix first.

Different training, different answers

Each model learned from a different corpus and retrieves differently. A brand strong on one engine can be invisible on another.

Citations vs recommendations

Some engines cite sources, others just recommend. The metric that matters shifts by platform, and so does the fix.

Fix the engine that costs you

When you can see per-model visibility side by side, you spend effort where the gap is biggest, not where it is easiest.

FAQ

Tracking AI platforms

Why track AI visibility per model instead of one score?
Because the engines genuinely disagree. The same buyer prompt can name your brand on ChatGPT, skip it on Claude, and cite a competitor on Perplexity, since each model trains and retrieves differently. A single blended score hides exactly where you are losing. Rankry keeps every engine separate so you can fix the one that is actually costing you deals.
Which AI engines does Rankry track?
Rankry tracks ChatGPT, Claude, Gemini, Perplexity, and Grok, plus emerging surfaces like DeepSeek and Google AI Overviews. For each one it records whether your brand appears, your position, sentiment, competitors, and cited sources, then trends the change over time.
Do I need a different strategy for each engine?
The fundamentals are shared: be crawlable, be clearly positioned, and be corroborated across credible sources. But the emphasis shifts by engine: citations dominate on Perplexity and AI Overviews, Google authority carries into Gemini, and recency matters more on Grok. Each platform page breaks down what moves the needle there.
How does Rankry measure visibility on each platform?
Rankry runs your buyer-intent prompts through each engine on a schedule and parses every answer for mention, position, sentiment, competitors, and citations. You get a per-model trend, the exact response text behind every score, and an action plan for closing the gaps.

See your brand across every AI engine

One dashboard for ChatGPT, Claude, Gemini, Perplexity, and Grok. Your first score is 5 minutes away.

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