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Will AI cite booleanlogical.com?

AI Visibility Score, last checked 21 Sept 2026.

AI Visibility Score
29/100

Niche cybersecurity educator with modest third-party presence; needs original data and entity-building to earn AI citations.

23/100
Entity authority
37/100
On-page

Low citation probability across all engines. While Boolean Logical has some third-party mentions (LinkedIn, Gumroad, social profiles), most are self-published platforms or unrelated academic papers about Boolean logic concepts. No Knowledge Panel, Wikipedia page, or press coverage means engines lack the entity graph and reference-corpus presence needed to confidently cite this brand for cybersecurity advice.

Entity authority

How much AI already trusts you across the web, the biggest driver of citations, and the hardest to DIY.

Brand mentions & press (share of voice)
35/100

Found 17 domains mentioning the brand name, but most are self-published profiles (LinkedIn, Gumroad, Facebook, YouTube) or unrelated academic papers about Boolean logic concepts rather than editorial coverage of this specific cybersecurity consultancy.

Fix: Earn editorial mentions through guest articles on cybersecurity publications, case studies on industry sites, podcast interviews, or press coverage of your free resources to build genuine third-party validation.

Get tier-1 press placements · from $250
Knowledge Panel & entity clarity
25/100

No Google Knowledge Panel exists and the brand lacks consistent entity signals across the web; engines cannot confidently resolve Boolean Logical as a distinct, authoritative cybersecurity entity versus generic Boolean logic concepts.

Fix: Build entity clarity through consistent NAP (name, address, phone) across directories, Wikidata entry, and earning mentions that clearly identify Boolean Logical Ltd as a UK cybersecurity consultancy run by Nick Ioannou.

Get a Google Knowledge Panel · from $650
Wikipedia & reference-corpus presence
0/100

No Wikipedia page exists for Boolean Logical, and the brand is absent from the reference corpora that large language models heavily rely on for factual grounding.

Fix: Wikipedia requires independent notability through significant press coverage; focus first on earning editorial mentions in cybersecurity publications, then consider whether notability guidelines are met for a Wikipedia article.

Get a Wikipedia page · $4,000, money-back

On-page extractability

How easily AI can read, understand, and quote this specific page.

Information gain (original data & quotes)
20/100

The homepage promotes free books and templates but contains no original statistics, research data, or unique insights not available elsewhere; it functions as a product directory rather than an information source.

Fix: Publish original research such as SMB cybersecurity survey results, breach statistics from your consulting work, or unique frameworks with specific data points that other sites would cite as primary sources.

Publish a cite-worthy article on MarketSpy · $9.99 intro
Extractable structure (answer-first, lists, tables)
30/100

The page is primarily image links to products with minimal extractable text; no answer-first paragraphs, clear question-based headings, or structured lists that AI engines can easily parse and cite.

Fix: Add answer-first sections addressing common cybersecurity questions (What is GDPR compliance for small business, How to secure Office 365) with clear headings, bullet lists of steps, and tables comparing security approaches.

Publish a cite-worthy article on MarketSpy · $9.99 intro
Freshness
55/100

Image timestamps show recent updates (January 2025, December 2024) indicating active maintenance, though no explicit article dates or last-updated metadata are visible in the main content.

Fix: Add visible last-updated dates to content sections and consider a news or insights section with timestamped articles to signal ongoing expertise and current relevance.

Technical eligibility (crawlable, AI bots allowed)
85/100

The site is server-rendered with 445 words visible to crawlers, and robots.txt does not block any AI crawlers (GPTBot, ClaudeBot, PerplexityBot), making it technically accessible to all major engines.

Schema & on-page E-E-A-T
15/100

No JSON-LD structured data is present, and while Nick Ioannou is mentioned as the author, there is no formal author schema, credentials markup, or organization schema to signal expertise and authority.

Fix: Add Organization schema with founder details, and consider Article or Person schema for content pages with author credentials (17 years Head of IT, 6 years Information Security Manager) to formalize expertise signals.

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.

Tier-1 press placementsfrom $250

Being named on independent, trusted publications is the strongest correlate of AI citation. It beats backlinks and domain authority. This is the #1 lever.

Fix this →
Business Insider / Yahoo / AP News bundle$840 (was $1,860)

Three tier-1 outlets AI engines already read and cite. The fastest way to build the third-party mentions AI weighs most.

Fix this →
Google Knowledge Panelfrom $650

A Knowledge Panel is how Google and AI Overviews confirm you are a real entity worth citing.

Fix this →
Wikipedia page creation$4,000, money-back

Wikipedia is ~48% of ChatGPT’s cited sources. With no page, AI has no canonical reference to cite about you.

Fix this →
MarketSpy placement ($9.99 intro)$9.99

A professional, AI-indexed article about you on a real outlet. The fastest, cheapest way to give assistants something concrete to quote.

Fix this →
Add original data or a direct quoteDIY

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.

Make it answer-first and extractableDIY

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.

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.

Check any URL free at essentras.com/tools/ai-visibility-score.