Corank

AI search visibility, from audit to execution

9 followers

AI search visibility, from audit to execution

9 followers

Corank helps brands understand and improve how they appear in AI-generated answers. It combines answer engine optimization, generative engine optimization, technical SEO, content strategy, digital PR, and ongoing citation monitoring—then pairs the diagnosis with hands-on execution. Every engagement can start with a free AI visibility audit across major answer engines.

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Launch tags:Marketing•SEO•Artificial Intelligence

Launch Team

LM-Kit OneThe Private AI Application Server

Promoted

Maker

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Search is changing from ranked links to synthesized answers. We built Corank to help brands understand where they appear across AI search, why competitors are being cited, and what to fix next. Corank combines AEO/GEO strategy with hands-on implementation and ongoing monitoring instead of stopping at a dashboard. We’d love feedback from founders and marketers: which AI-search questions are most important to your business?

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2mo ago

Forum Threads

p/corank

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1mo ago

Should AI visibility audits separate clean-session and personalized results?

Two runs of the same prompt can diverge because one is anonymous while the other inherits account history, location, or a selected search/grounding mode. If a dashboard blends those observations, the average looks precise but is not reproducible.

A practical split:

1. Controlled baseline fixed prompt version, market/language, engine and mode; a fresh session; timestamp; and the cited URLs.

2. Personalized diagnostic explicitly tagged as a returning session or profile, with only scenario-level interpretation.

p/corank

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2mo ago

When should an AI crawler access score be suppressed?

A headline crawler-access score should disappear when the evidence cannot support it.

I would suppress the composite in four cases:

1. A critical public URL fails. A broken homepage, primary service page, or documentation entry point should not be averaged away by healthy low-priority samples.

2. The robots.txt artifact or policy inventory is missing. Without the exact policy input and expected assertions, a conformance percentage is not reproducible.

p/corank

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2mo ago

What does an AI crawler access audit actually prove?

Teams sometimes say AI crawlers can access our site as if that closes the loop. It does not.

I find four evidence layers useful:

1. Policy what robots.txt declares.

2. Delivery the status, redirects, content type, and challenge behavior a real request receives.

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