Mika Sandgrove
Mika Sandgrove is an SEO writer and independent SEO consultant with more than three years of experience creating and optimizing content for search. He runs his own SEO practice, helping businesses improve their organic visibility through SEO strategy, content optimization, and technical and on-page SEO services. Much of his work comes through freelance marketplaces and online client platforms, where he works with businesses across different industries and markets. Mika primarily writes about SEO, search visibility, and practical optimization strategies, and is increasingly exploring Answer Engine Optimization (AEO) and how businesses can adapt their content for AI-powered search experiences.
Articles by Mika Sandgrove
225 articles published on SEOsoft.
Tutorial
AI Visibility Reporting Framework: How to Measure Brand Presence in AI Overviews and LLM Recommendations (KPIs, Queries, Dashboards)
An exec-ready framework for AI visibility reporting: lock a versioned query set, use five non-overlapping KPIs, ship an exec/operator dashboard, and run it with QA and change logs so volatility doesn’t break trust.
| 4 min read
Advanced Guide
Utilizing AI Chatbots for Enhanced User Engagement
Design AI chatbots for measurable engagement: reduce friction, improve relevance, guide next actions, personalize safely, and prove impact with instrumentation and experiments.
| 5 min read
Checklist
Preparing Your Site for AI Agents: Crawlability, Structured Data, and Trust Signals That Earn Citations
A practical checklist to make your pages reachable, machine-readable, and credible for AI agents—covering crawlability/indexability diagnostics, minimum schema, extractable HTML, and lightweight monitoring.
| 5 min read
Best Practices
SEO + PPC Keyword Portfolio Optimization: When to Buy, When to Rank, and How to Reallocate Budget Using Shared Intent Data
A step-by-step workflow to unify SEO and PPC keywords under shared intent, classify clusters as Buy/Rank/Both/Park, and reallocate spend using combined PPC + Search Console data and simple incrementality tests.
| 4 min read
Best Practices
AI Search Visibility Scorecard: How to Measure Citations, Mentions & Click Impact Across AI Overviews, ChatGPT & Perplexity
A repeatable scorecard to track AI Overviews, ChatGPT, and Perplexity visibility using citations, mentions, prominence, and click impact—then tie changes to GSC and controlled UTMs without over-attribution.
| 4 min read
Checklist
Technical SEO for AI Agents: Make Your Site Easy to Crawl, Understand, and Cite (Schema, Architecture, and Source-of-Truth Pages)
A practical technical SEO checklist to reduce AI misquotes: create source-of-truth pages, align IA and canonicals, add schema that matches on-page facts, and ensure bots reach the right URL.
| 5 min read
Comparison
Product Pages vs. Reddit vs. YouTube: What AI Citation Patterns Mean for Your Content Strategy
AI assistants cite different source types depending on the buyer’s question. Use this comparison and framework to prioritize product pages, Reddit, or YouTube for evaluation-stage citations.
| 5 min read
Troubleshooting
Stop “AI Substitution”: How to Fix Entity Confusion When Generative Search Describes the Wrong Brand
A step-by-step workflow to confirm AI-driven brand/entity substitution, diagnose which signal layer is causing it, apply prioritized fixes, and verify improvement in generative search outputs.
| 5 min read
Tutorial
Google Search Console Generative AI Performance Reports: What They Mean and How to Use Them in Monthly SEO Reporting
Learn what the GSC Generative AI Performance report measures, how to interpret clicks/impressions/CTR/position safely, and a repeatable 5-part monthly reporting workflow with quick segmentation and decision rules.
| 4 min read
Checklist
Preparing Your Website for AI Agents: Crawlability, Readability, Trust Signals & Citability Checklist
A pass/fail checklist to optimize website for AI agents so key pages can be fetched, understood, trusted, and cited—plus log verification and a lightweight scoring rubric.
| 5 min read
Checklist
Rank Tracking Isn’t Enough: Building a SERP Layout Dashboard in GA4 + GSC to Quantify AI Overviews & Feature Volatility
A minimal, repeatable checklist to quantify SERP layout volatility using GSC CTR signals blended with GA4 outcomes—so you can explain AI Overview and feature shifts even when average position looks stable.
| 5 min read
Best Practices
Lead Quality vs Lead Volume: Implement Deeper-Funnel Conversion Signals for Smart Bidding (Google Ads + CRM)
If Smart Bidding is driving more leads but sales rejects them, your conversion signal is wrong. Import CRM-qualified stages (MQL/SQL) and clean offline conversions so bidding optimizes for pipeline—not form fills.
| 4 min read