How to audit your brand's AI knowledge graph presence
Check Wikidata, Google Knowledge Panel, and other structured data sources that AI models rely on for brand facts.
- 1
Search for your Google Knowledge Panel
Google your brand name and check if a Knowledge Panel appears on the right side. Note what information it shows - description, founding date, CEO, headquarters, social links. If no panel exists, that is a gap to fill.
- 2
Check your Wikidata entry
Search wikidata.org for your brand. Review every property for accuracy - official name, instance of, industry, founding date, headquarters, official website, and social media links. If no entry exists, create one.
- 3
Verify your Google Business Profile
Log into Google Business Profile and confirm your business name, category, description, address, phone, website, and hours are correct. This data feeds directly into Google's knowledge graph and Gemini's responses.
- 4
Audit third-party directory listings
Check Crunchbase, LinkedIn, Yelp, G2, Capterra, and any industry-specific directories. Verify that your brand name spelling, founding date, description, and leadership are consistent across every listing.
- 5
Cross-check with AI model responses
Run a RankSignal scan and compare what each AI model says against your knowledge graph sources. Where models get facts wrong, trace the error back to the specific source that has incorrect data.
- 6
Fix inconsistencies and monitor
Update every source where you found incorrect or outdated information. Prioritise Wikidata and Google Business Profile as these feed into multiple AI models. Re-scan monthly to verify corrections have propagated.
See what AI says about your brand
RankSignal.ai scans ChatGPT, Claude, Gemini, Perplexity, and Grok to show how AI models perceive your brand. Try a free scan.
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