Entitiesgrowth
Return on Past Investment Auditor
Find existing mentions and maximize their value
What it does
Jason Barnard calls it "Return on Past Investment" — the value already existing in mentions and profiles built over time. This tool systematically searches Google, Google News, Perplexity, and DataForSEO backlinks to find all traces of your brand, then AI classifies each mention and generates an action plan.
You don't know what the web says about you
Existing mentions can support or undermine your brand with AI systems — but you have no overview.
- Outdated profiles and directories with old information
- Press articles not linked from Entity Home
- Broken backlinks that once corroborated brand claims
- No systematic overview of digital corroboration footprint
Systematic corroboration mapping with 4 data sources
Searches Google Web, Google News, Perplexity citations, and DataForSEO backlinks to find all brand traces.
- Serper searches for brand mentions across web and news
- Perplexity uncovers AI citations and research context
- DataForSEO maps backlink profile with anchor text
- Gemini AI classifies each mention against brand claims
Features
- 4-Source Mention Discovery: Searches Google Web, News, Perplexity, and DataForSEO backlinks in parallel.
- Corroboration Classification: Each mention classified: corroborating, contradicting, neutral, outdated, or broken.
- Corroboration Rate: Overall score showing what share of mentions support your brand.
- Prioritized Action Plan: 5 action types: link from Entity Home, request updates, reclaim, create content, monitor.
FAQ
- What does Return on Past Investment mean?
- The term is from Jason Barnard (Kalicube) — the value in mentions and profiles built over time.
- What data sources are used?
- Google Web, Google News, Perplexity Sonar, and DataForSEO Backlinks API.
- What does it cost?
- 50 credits per analysis.
Try Return on Past Investment Auditor free