How it works

From buyer question to prioritized fix

Short answer

DeepLexa asks AI engines the real questions your customers ask, measures whether your brand is mentioned or cited (and which competitors appear instead), scores your Share of Answer, and hands you a prioritized list of fixes — then tracks it every week.
Step 1

We ask the AI engines the right questions

Instead of tracking keyword rankings, DeepLexa turns your brand, domain and category into the real buyer-intent questions your customers ask — “best CRM for startups”, “alternatives to Acme”, “is Acme any good”. These become your tracked prompts.

Step 2

We measure your presence across engines

We run each prompt across ChatGPT, Perplexity, Gemini and Google AI Overviews and detect: are you mentioned? Are you cited as a source? How prominently? And critically — which competitors get named instead of you?

Step 3

We score your Share of Answer

We roll it into a single 0–100 Share of Answer score, weighted by mention rate, citation rate and prominence, with a per-engine breakdown and the exact prompts where you're invisible.

Step 4

We tell you what to fix

Every gap becomes a prioritized, plain-English action: the content to publish, the comparison pages to build, the third-party citations to earn, and the entity/schema fixes — ranked by the visibility they'll unlock.

See how AI engines rank you today

Get a free, personalized AI visibility report for your brand — see where ChatGPT, Perplexity and Google AI mention you, and exactly what to fix.

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