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Will AI cite mariabregman.com?
AI Visibility Score, last checked 20 Aug 2026.
Wikipedia presence and 11 distinct third-party mentions create moderate citation potential; add original data and answer-first structure to convert.
ChatGPT and Perplexity are moderately likely to cite Maria Bregman when answering queries about Russian-British art critics or cultural strategists, primarily drawing from her Wikipedia entry and third-party mentions across Medium, LinkedIn, and BGTC. However, the homepage itself lacks extractable original data (no unique statistics, direct quotes, or proprietary insights), so engines will cite the entity but pull facts from Wikipedia and press mentions rather than this page directly.
Entity authority
How much AI already trusts you across the web — the biggest driver of citations, and the hardest to DIY.
11 distinct third-party domains name Maria Bregman, including Wikipedia, Medium interview, BGTC profile, LinkedIn, and Qwoted, establishing real independent web presence.
Fix: Pursue bylines in tier-one art publications (Artforum, Frieze, The Art Newspaper) and tech press (TechCrunch, Wired) to expand share of voice beyond lifestyle magazines.
Get tier-1 press placements · from $250 →No Google Knowledge Panel detected, but consistent identity across Wikipedia, LinkedIn, and professional profiles; Person schema present with job title and organization affiliation.
Fix: Claim and optimize a Wikidata entry linking all profiles, and ensure consistent NAP (name, affiliation, photo) across Wikipedia, LinkedIn, and BGTC to help Google resolve the entity into a Knowledge Panel.
Get a Google Knowledge Panel · from $650 →Wikipedia page exists for Maria Bregman (Russian-British art critic, born 1976), placing her in the reference corpus that ChatGPT heavily indexes.
On-page extractability
How easily AI can read, understand, and quote this specific page.
Page contains only generic self-description and service offerings; no original statistics, proprietary research, direct quotes from clients, or unique data points not found elsewhere.
Fix: Add a statistics section with concrete metrics (number of exhibitions reviewed, publications count, documentary festival selections with names and years) and include direct client testimonials or case-study quotes to create unique, citable facts.
Publish a cite-worthy article on MarketSpy · $9.99 intro →Headings are present but mostly service categories; no answer-first paragraphs addressing common questions (What is Maria Bregman known for? What publications has she written for? What films has she directed?).
Fix: Restructure the top section into FAQ format with one clear question per heading (e.g., 'What publications has Maria Bregman been published in?') and lead each answer with a one-sentence extractable fact before elaborating.
Publish a cite-worthy article on MarketSpy · $9.99 intro →No visible publication date, last-updated timestamp, or recent news/press section; engines cannot determine if credentials or affiliations are current.
Fix: Add a visible 'Last updated' date in the footer and create a 'Recent Work' or 'Latest Press' section with month-year timestamps for recent publications, speaking engagements, or film releases.
Server-rendered HTML with 638 words visible to crawlers; no AI bots blocked in robots.txt; page is fully indexable and accessible to GPTBot, ClaudeBot, and PerplexityBot.
Person schema present with name, job title, description, and organization affiliation; no author byline or credentials section with named qualifications (degrees, memberships) in human-readable format.
Fix: Add a visible 'Credentials' section listing Maxim Gorky Literature Institute, RANEPA, PEN International, and International Federation of Journalists memberships in plain text, and include an 'About the Author' schema block linking to the Wikipedia page.
Publish a cite-worthy article on MarketSpy · $9.99 intro →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 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.
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