[KongchangAI]
Company

EntityRise

A company specializing in AI visibility optimization, helping organizations improve their recommendation rates and exposure within AI assistants such as ChatGPT and Claude. EntityRise provides AI visibility audits and proprietary methodology services aimed at increasing how frequently a client's brand or content is surfaced by AI systems.

Timeline (last 90 days)

Oct 15

In a B2B audit of ChatGPT, Claude, Gemini, Grok, and Perplexity, EntityRise found that four failure modes recur when AI describes companies: Absence, Misdescription, Competitor Substitution, and Citation Gaps.

Unverified50%
Oct 15

No one can control independent AI providers, so promises of "guaranteed appearance in answers" should be treated with caution; what can be guaranteed is the work process, transparency, and re-measurement before and after.

Unverified50%
Oct 15

EntityRise founder Kamil Kępiński proposed five interrelated directions of action for leveraging AI visibility: machine-readable clarity, category and positioning language, buyer-intent content, verifiable evidence, and external authority and citations.

Unverified50%
Oct 13

EntityRise's approach is to seal the question set with a SHA-256 hash and record the model version number, ensuring that the before-and-after comparison uses the same ruler.

Unverified50%
Oct 13

EntityRise founder Kamil Kępiński proposes that AI visibility metrics effective at the board level must simultaneously satisfy three conditions: measurable, repeatable, and honest about their own confidence.

Unverified50%
Oct 13

EntityRise's audit covers five AI providers — ChatGPT, Claude, Gemini, Grok and Perplexity — records roughly 75 observations, and labels every finding with a confidence level.

Unverified50%
Oct 11

EntityRise founder Kamil Kępiński believes that in B2B contexts, five Schema types do the majority of the work: Organization, Service/Product, FAQPage, Article, and BreadcrumbList.

Unverified50%
Oct 11

The methodology consists of five steps: measure the current state, make company information machine-readable, publish evidence that can be verified by third parties, earn a presence in the sources cited by AI, and then re-measure.

Unverified50%
Oct 11

EntityRise's audit process asks 20 buyer questions across five AI vendors each time, sealing the question set with a SHA-256 hash and recording model versions.

Unverified50%
Oct 11

EntityRise founder Kamil Kępiński has proposed an AI visibility methodology oriented toward 2026, aimed at getting ChatGPT, Claude, Gemini, Grok, and Perplexity to proactively recommend his company to potential customers.

Unverified50%

All Facts (10)

Unverified

In a B2B audit of ChatGPT, Claude, Gemini, Grok, and Perplexity, EntityRise found that four failure modes recur when AI describes companies: Absence, Misdescription, Competitor Substitution, and Citation Gaps.

50%
Unverified

No one can control independent AI providers, so promises of "guaranteed appearance in answers" should be treated with caution; what can be guaranteed is the work process, transparency, and re-measurement before and after.

50%
Unverified

EntityRise founder Kamil Kępiński proposed five interrelated directions of action for leveraging AI visibility: machine-readable clarity, category and positioning language, buyer-intent content, verifiable evidence, and external authority and citations.

50%
Unverified

EntityRise's approach is to seal the question set with a SHA-256 hash and record the model version number, ensuring that the before-and-after comparison uses the same ruler.

50%
Unverified

EntityRise founder Kamil Kępiński proposes that AI visibility metrics effective at the board level must simultaneously satisfy three conditions: measurable, repeatable, and honest about their own confidence.

50%
Unverified

EntityRise's audit covers five AI providers — ChatGPT, Claude, Gemini, Grok and Perplexity — records roughly 75 observations, and labels every finding with a confidence level.

50%
Unverified

EntityRise founder Kamil Kępiński believes that in B2B contexts, five Schema types do the majority of the work: Organization, Service/Product, FAQPage, Article, and BreadcrumbList.

50%
Unverified

The methodology consists of five steps: measure the current state, make company information machine-readable, publish evidence that can be verified by third parties, earn a presence in the sources cited by AI, and then re-measure.

50%
Unverified

EntityRise's audit process asks 20 buyer questions across five AI vendors each time, sealing the question set with a SHA-256 hash and recording model versions.

50%
Unverified

EntityRise founder Kamil Kępiński has proposed an AI visibility methodology oriented toward 2026, aimed at getting ChatGPT, Claude, Gemini, Grok, and Perplexity to proactively recommend his company to potential customers.

50%

Source Articles