Dispa
The AI BuffAI Strategist, Independent Researcher & Founder of EverydayOnAI.com
Writing about AI since 2023
About Dispa
Dispa is an independent AI researcher and the founder of EverydayOnAI.com, a publication covering two intersecting areas of the AI landscape: AI search optimization (GEO, AEO, LLMO, and AI SEO) and AI governance (EU AI Act, NIST AI RMF, ISO 42001, enterprise compliance, and emerging AI policy globally).
Writing under the name "The AI Buff" since 2023, Dispa's approach is grounded in primary source research — academic papers, regulatory texts, and named industry benchmarks — rather than repurposed aggregator content. Every article on EverydayOnAI cites sources inline with organization name and year, and distinguishes clearly between documented data and editorial analysis.
Before founding EverydayOnAI, Dispa built software products across web and mobile — experience that directly informs coverage of how AI tools are built, deployed, and regulated — not just how they are marketed.
Areas of Expertise
EverydayOnAI covers two distinct but related clusters. The AI SEO Hub addresses how to build visibility on AI-powered search platforms. The AI Governance Hub addresses how organizations should manage, risk-assess, and comply with regulation around AI systems they build or use.
🔍 GEO — Generative Engine Optimization
Structuring content for citation inside AI-generated answers — ChatGPT, Perplexity, Google AI Overviews. Research grounded in the Princeton/KDD 2024 academic study and ongoing industry benchmarks (ConvertMate, Ahrefs, Semrush).
🔍 AEO — Answer Engine Optimization
Winning featured snippets (paragraph 40-60w, list 5-8 items, table 3-4 columns), People Also Ask, voice search, and AI answer boxes. Includes query fan-out mapping, PAA chain research, and snippet-format matching.
🔍 LLMO — LLM Optimization
Building brand entity clarity for AI model representation — Person and Organization schema, consistent entity signals, and third-party brand mention strategy for long-term LLM brand recall.
🔍 Schema Markup & Structured Data
Practical implementation of Article, FAQPage, Speakable, Person, Organization, HowTo schema — with current data on what each schema type actually produces for AI citation versus traditional rich results.
⚖️ EU AI Act
Risk classification (unacceptable, high, limited, minimal), compliance timelines, documentation requirements, conformity assessment obligations, and practical guidance for organizations building or deploying AI systems in the EU.
⚖️ AI Governance Frameworks
NIST AI RMF, ISO/IEC 42001:2023, EU AI Act, Singapore IMDA framework, Colorado AI Act, and how these frameworks compare across seven dimensions for enterprise compliance planning.
⚖️ Enterprise AI Risk
Shadow AI compliance risk, AI impact assessments, bias auditing, documentation requirements, and the organizational governance structures that regulatory frameworks increasingly require.
⚖️ AI Policy & Emerging Regulation
Comparative analysis of global AI regulation — EU vs US AI policy divergence, the Colorado AI Act as a US state-level precedent, and how different regulatory approaches affect organizations globally.
Published Articles on EverydayOnAI
⚖️ AI Governance Hub — Live Articles
Pillar — AI Governance
AI Governance in 2026: Complete Guide
Pillar article · Published June 15, 2026
Spoke — AI Governance
What Is AI Governance? Definition, Importance & Core Principles
Published June 16, 2026
Spoke — AI Governance
The 5 Core Pillars of AI Governance
Published June 16, 2026
Spoke — AI Governance
7 AI Governance Frameworks Compared: NIST, ISO 42001, EU AI Act & More
Published June 17, 2026
Spoke — EU AI Act
EU AI Act Explained: Risk Categories & Prohibited AI Systems
Published June 7, 2026
Spoke — EU AI Act
EU AI Act Compliance Guide: What Businesses Need to Do Now
Published June 7, 2026
Spoke — EU AI Act
How to Classify Your AI System Under the EU AI Act
Published June 7, 2026
Spoke — EU AI Act
EU AI Act Documentation Requirements: Complete Checklist
Published June 7, 2026
Spoke — AI Policy
EU AI Act vs US AI Policy: Key Differences Explained
Published June 8, 2026
Spoke — Enterprise AI Risk
Shadow AI: The Silent Compliance Risk Your IT Team Doesn't See
Published June 10, 2026
Spoke — AI Policy
Colorado AI Act Compliance Guide: What It Means for US Businesses
Published June 10, 2026
🔍 AI SEO Hub — Live & In Production
Pillar — AI SEO
What is AI SEO? The Complete Guide to GEO, AEO & LLMO (2026)
7,600+ words · AI Citation Readiness Score tool · June 2026
Sub-pillar — GEO
GEO Complete Guide: How to Get Cited by ChatGPT, Perplexity & Google AI
Princeton/KDD 2024 research · Updated June 2026
Sub-pillar — AEO
What is AEO? The Complete Answer Engine Optimization Guide (2026)
6,600+ words · Snippet-Readiness Checker tool · June 2026
Spoke — Comparison
GEO vs AEO: Key Differences Explained (2026 Decision Framework)
3,700+ words · Playbook Router tool · June 2026
Spoke — AEO
AEO vs SEO: What Changes and What Stays (2026)
4,100+ words · Ahrefs schema markup finding · June 2026
Spoke — AEO
AEO Keyword Research: Finding Answer-Intent Queries (2026 Guide)
4,700+ words · 5-tool stack & 0-12 scoring system · June 2026
Spoke — AEO
How to Write for Featured Snippets & Voice Search (2026 Guide)
4,500+ words · 3 format specs & rewrites · June 2026
Editorial Standards & E-E-A-T Commitment
✓ How EverydayOnAI Maintains Content Quality
- Named primary sources only. Every statistic is cited inline — [Organization] [finding] ([Source, Year]). No "studies show" without a named source. Aggregator blog statistics are traced to their original research before use.
- No hallucination policy. Where the original primary source cannot be identified and independently verified, the statistic is not published. This applies to both the AI SEO Hub and the AI Governance Hub — including EU AI Act regulatory texts, which are cited from the Official Journal of the European Union directly.
- Opinion clearly labeled. Editorial opinion appears in clearly marked "According to EverydayOnAI" boxes in every article — visually and structurally separated from cited research. Opinion is never presented as data.
- Quarterly freshness cycle. All articles are reviewed quarterly. Statistics older than 12 months are updated or flagged. The visible "Last Reviewed" date in each article reflects when content was actively verified — not just when it was last touched.
- Corrections policy. When a cited figure is found to be incorrect, the article is updated with a visible revision note. EverydayOnAI does not silently edit factual errors.
- Self-compliance. EverydayOnAI practices the strategies it covers. Articles on AI SEO use FAQPage, Speakable, and Article schema. This author page uses full Person entity schema.
- Regulatory coverage verified against primary texts. EU AI Act content is verified against Regulation (EU) 2024/1689. NIST AI RMF content is verified against the published NIST AI 100-1 document. No AI Governance claims are based solely on third-party summaries.
💬 Why This Matters for Both Readers and Advertisers
Google's AdSense policies and Search Quality Evaluator Guidelines both require demonstrable E-E-A-T — Experience, Expertise, Authoritativeness, and Trustworthiness — as a condition for sustained ad revenue and search visibility. The editorial standards above are not just ethical commitments; they are the operational foundation for EverydayOnAI's long-term viability as a publication.
Editorial Independence & Advertising Policy
EverydayOnAI is supported by display advertising (Google AdSense) and may use affiliate links where relevant. The following policies apply without exception:
- No sponsored articles. Advertisers do not influence editorial content, article topics, or tool recommendations. Display ads are served programmatically; they do not reflect editorial endorsements.
- Affiliate links disclosed. Where affiliate links appear, they are disclosed with a visible note at the point of mention. Affiliate relationships do not affect which tools are recommended or how they are reviewed.
- No pay-to-play coverage. Tools featured in EverydayOnAI articles are selected based on research utility and documented performance — not on commercial relationships.
- No advertiser access to drafts. Advertisers do not preview, approve, or request changes to any article before or after publication.
How Articles Are Researched and Fact-Checked
For AI SEO Hub articles: Statistics on AI citation rates, featured snippet CTR, voice search behavior, and platform-specific citation patterns are verified against named primary sources — BrightEdge, Ahrefs, Semrush, ConvertMate, SparkToro/Datos, Bain & Company, Pew Research Center, and the Princeton/KDD 2024 academic study.
For AI Governance Hub articles: Regulatory content is verified against the official legal texts — Regulation (EU) 2024/1689 (EU AI Act), NIST AI 100-1 (NIST AI RMF), ISO/IEC 42001:2023, and Colorado SB 24-205. Compliance timelines and enforcement dates are cross-referenced against the European Parliament's official publications.
For tool pricing and feature coverage: Pricing information is verified at each vendor's official pricing page at time of publication, with a note that pricing changes frequently and readers should confirm before subscribing.
For case studies: Every case study cited names the organization, the methodology, the result, the timeframe, and the source publication. Anonymous "a client we worked with" case studies are not used.
Contact & Media Inquiries
For editorial questions, corrections, reader feedback, or media inquiries related to EverydayOnAI content:
- Email: [REPLACE-WITH-EMAIL]
- LinkedIn: linkedin.com/in/[REPLACE-WITH-LINKEDIN]
- Response time: Within 2–3 business days
- Corrections: Factual corrections are prioritized and addressed within 24 hours of verification
Page last updated: June 2026 · Author URL: https://everydayonai.com/about/dispa · Schema: Person + Organization (schema.org) · E-E-A-T signals: Expertise (knowsAbout, published articles), Experience (founded 2023, technical background), Authoritativeness (primary source citations), Trustworthiness (corrections policy, editorial independence)