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Will AI cite georgebregman.com?
AI Visibility Score, last checked 20 Aug 2026.
Personal brand with modest third-party validation; needs original data, press coverage, and entity disambiguation to earn AI citations.
Low citation likelihood across all engines. While LinkedIn and GitHub mention George Bregman, most third-party results reference different individuals (Steven George Bregman in finance, historical George Bregmen, Holocaust survivor George Bregman). No Knowledge Panel, no Wikipedia page, and no original research or data that engines could cite as authoritative sources.
Entity authority
How much AI already trusts you across the web — the biggest driver of citations, and the hardest to DIY.
Only 2-3 of the 14 third-party domains genuinely reference this George Bregman (LinkedIn, GitHub, possibly F6S and BGTC); the rest are different people with similar names, offering no share-of-voice for this individual.
Fix: Earn editorial mentions in AI/venture press (TechCrunch, Sifted, VentureBeat) by publishing original research, speaking at conferences, or securing client case studies that journalists can reference independently.
Get tier-1 press placements · from $250 →No Google Knowledge Panel and severe name collision with multiple other George Bregmans (finance professional, historical figures, Holocaust survivor) makes entity resolution nearly impossible for AI engines.
Fix: Build consistent cross-platform presence with unique identifiers (middle initial, location qualifier like 'George Bregman AI UK'), secure Wikidata entry, and maintain identical biographical facts across all profiles to help engines disambiguate.
Get a Google Knowledge Panel · from $650 →No Wikipedia page exists for this George Bregman, and the single Wikipedia result found references Maria Bregman, not the subject.
Fix: Wikipedia requires independent notability (significant press coverage in reliable sources); focus first on earning that press, then consider whether notability guidelines are met for article creation.
Get a Wikipedia page · $4,000, money-back →On-page extractability
How easily AI can read, understand, and quote this specific page.
Page contains only biographical claims and service descriptions with no original data, research findings, statistics, case study results, or quotable insights not found elsewhere.
Fix: Publish original research from the thousand-plus mentor sessions (anonymized patterns, success metrics, decision frameworks with data), client case studies with measurable outcomes, or proprietary AI implementation frameworks with specific results.
Publish a cite-worthy article on MarketSpy · $9.99 intro →Clear headings and service breakdowns present, but most sections are promotional prose rather than answer-first paragraphs; no FAQ structure, comparison tables, or data tables that engines can extract.
Fix: Add FAQ section answering common questions (When should startups hire fractional versus full-time AI leadership? What ROI should enterprises expect from AI strategy builds?), convert service comparisons into tables, and lead each section with a one-sentence answer.
Publish a cite-worthy article on MarketSpy · $9.99 intro →Copyright footer shows 2026 (likely current year placeholder), and writing section references 2024-2025 dates, but no article publication dates or last-updated timestamps visible on the main page.
Fix: Add visible last-updated date to the page, timestamp each portfolio entry and service offering with launch or revision dates, and maintain a news or updates section with dated entries.
Server-rendered content with 972 words visible, no AI crawler blocks detected in robots.txt, and page is fully indexable.
Comprehensive Person schema present with job titles, organizations, contact details, and same-as links; named authorship clear throughout the page with credentials and portfolio listed.
What to fix, ranked by impact
Highest-leverage first. Purple/green = Essentras can do it for you; grey = a do-it-yourself win.
Being named on independent, trusted publications is the strongest correlate of AI citation — it beats backlinks and domain authority. This is the #1 lever.
Three tier-1 outlets AI engines already read and cite — the fastest way to build the third-party mentions AI weighs most.
A Knowledge Panel is how Google and AI Overviews confirm you are a real entity worth citing.
Wikipedia is ~48% of ChatGPT’s cited sources. With no page, AI has no canonical reference to cite about you.
A professional, AI-indexed article about you on a real outlet — the fastest, cheapest way to give assistants something concrete to quote.
Information gain is the top causal on-page lever (+22-41% in controlled tests). Add a stat, benchmark, or quote no other page has — restating consensus barely helps.
Lead each section with a 1-3 sentence direct answer, then a list or real table. One heading = one question. AI can only cite what it can cleanly extract.
AI-cited content is ~26% fresher on average; Perplexity leans hardest on recency. Refresh commercial pages every 60-90 days with a genuine last-updated date.
Don’t waste time on
- ✕Obsessing over schema / JSON-LD. Controlled before/after tests show it has no causal lift on AI citations. Keep it for normal Google rich results, but do not over-invest expecting AI to cite you because of it.
- ✕Adding an llms.txt file. AI crawlers do not read it (Google confirmed; ~0.1% of AI-bot requests hit it). It is speculative, not a ranking factor.
- ✕Chasing word count. Correlation between length and AI citation is ~0.04 (basically none). Originality and structure beat length every time.
How to fix this fast
AI barely sees you. The fastest fix is a citation on a source it already trusts.
We write and publish a professional article about you on a real, AI-cited outlet, indexed by Google and citeable by ChatGPT, Claude and Perplexity. Get your first placement for $9.99.
Other sites we checked
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