Evrim Aslan

Build a SaaS AEO measurement system that separates AI-answer observations, citations, referrals, and trial outcomes without overstating attribution.

Audit answer engine optimization case studies and build a defensible measurement process from AI visibility and citations to qualified leads and revenue.

Build reliable video marketing measurement by preserving metric definitions, modeling data grain, reconciling reports, and qualifying CRM updates.

Define GEO KPIs at the prompt-run level, publish each denominator, and keep AI visibility separate from referral sessions and CRM evidence.

A practical AI search SEO strategy for people-first content, separate Search Console and AI-answer measurement, validated workflows, and evidence-based demand tests.

Build an evidence based SEO process for AI search and zero click results, from dated SERP checks and reviewed content changes to local actions and measurement.

A practical guide to using AI with technical SEO data, including links, schema, logs, headers, and Search Console, with validation and human ownership.

Measure AI visibility with a declared denominator, versioned prompts, separate citation metrics, auditable records, and cautious trend reporting.

A practical guide to ChatGPT Search readiness, with technical checks, evidence standards, and a citation measurement model that separates visibility from revenue.

A practical guide to writing useful, verifiable content, checking Google Search eligibility, and measuring AI citations without confusing them with traffic.