Orova News
News & marketing insights
SEO guides, real-world playbooks, and what Orova's AI Agent just learned.
Everything We Published About AI Search, Distilled to One Page
Thirty articles on AI Overviews, GEO, citations, crawlers, and measurement — compressed to one page. Every major claim in its operative sentence, organised into six themes, with reading paths by role and the places our own thinking changed.
Jul 02, 2026The Boring Fundamentals That Survive Every Algorithm Era
The search industry has held a funeral for itself every few years — voice, mobile, snippets, now AI. An autopsy of the panic cycle, the five fundamentals that outlived every era, and the budget rule that caps what any trend can cost you.
Jul 02, 2026Your 12-Month Roadmap From Classic SEO to AI-Ready
AI-readiness is a migration, not a project — and migrations live or die on sequencing. Four quarters, month-by-month deliverables, honest hour budgets, and an exit test per quarter to take a classic SEO program to citation-earning shape.
Jul 02, 2026SEO Strategy for the AI Search Era: The Master Framework
The single strategic document for search in 2026: what AI Overviews and answer engines actually changed, what still compounds, and the five-layer framework — foundation, trust, content, distribution, measurement — that holds the whole program together.
Jul 02, 2026
E-E-A-T: Why Google Trusts One Page Over Another — and How to Build That Trust
E-E-A-T (Experience, Expertise, Authoritativeness, Trust) is how Google judges a page's trustworthiness. Unpacking the four letters, the YMYL concept, and the concrete signals to build E-E-A-T on your website.
Jul 02, 2026Scaling an Ad Account With a Small Team: The Leverage of AI
You don't need a big team to run a big account, you need leverage. Here's how a lean team uses an AI agent to manage far more spend.
Jul 01, 2026Combined SEO + Ads Reporting: One Dashboard for Your Whole Funnel
Organic and paid feed the same funnel, so they belong in one report. Here's how automated SEO + Ads reporting saves hours and reveals overlap.
Jul 01, 2026Agency vs In-House vs AI Agent: The Real Economics of Running Ads
Each model has a different cost, speed and control profile. Here's an honest breakdown to help you choose, or combine, them.
Jul 01, 2026Buy vs Build: Should Your Team Assemble Its Own AI Agent Stack
The demo takes a week; the iceberg underneath takes quarters. An honest buy-versus-build framework for AI agent stacks: where building genuinely wins, what maintenance really costs, and five questions to settle the meeting.
Jul 01, 2026The Marketer's Job in 2027: Editor-in-Chief of Machines
Your next direct reports will be machines: tireless, fast, occasionally brilliant, and reliably wrong in ways that are your problem. A cheerfully honest look at the marketer's new job title — and the audition that has already started.
Jul 01, 2026From Dashboards to Decisions: Closing the Loop With Agents
The marketing stack was built left to right and stopped at the dashboard. An analysis of decision latency — the most expensive number nobody measures — and how AI agents finally close the loop between knowing and doing.
Jul 01, 2026What an AI Marketing Agent Actually Does All Day
Forget the vague promises of automation. An hour-by-hour tour of a working AI marketing agent's day: the overnight data sync, the anomaly scan, drafted actions, the human approval queue, execution and verification.
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