Tag: AI-search-optimization

GEO for Physical Locations: Platform Requirements for Multi-Location Brands

GEO for Physical Locations: Platform Requirements for Multi-Location Brands

Multi-location brands hit governance breakpoints around 20 locations. A March 2026 analysis of 350,000+ locations found ChatGPT recommended only 1.2% of them. The platform requirements that compound visibility across the full footprint.

Social Posts for GEO: How Instagram, LinkedIn, TikTok, Facebook, and X Feed AI Citations

Social Posts for GEO: How Instagram, LinkedIn, TikTok, Facebook, and X Feed AI Citations

An early 2026 analysis of 325,000 AI prompts found LinkedIn cited in 14.3% of ChatGPT Search responses and 13.5% of Google AI Mode responses. Social posts feed AI citations now. Each platform contributes differently; the cadence varies accordingly.

How to Rank in Gemini - Measure, Iterate, Improve: Tracking Gemini Visibility (Part 5 of 5)

How to Rank in Gemini - Measure, Iterate, Improve: Tracking Gemini Visibility (Part 5 of 5)

Gemini-specific measurement runs three signals: citation rate per prompt, summary accuracy, and AI-source pipeline attribution. Part 5 closes the series with the dashboard and cadence that turn data into citation lift.

How to Rank in Gemini - Accuracy and Grounding: Why Gemini Punishes Drift (Part 4 of 5)

How to Rank in Gemini - Accuracy and Grounding: Why Gemini Punishes Drift (Part 4 of 5)

Gemini's grounding architecture cross-references multiple sources before answering, which makes contradictions across the brand's surfaces directly visible. Part 4 covers why the engine punishes drift and how to keep brand claims consistent.

How to Rank in Gemini - A Content Strategy Built for Gemini Citations (Part 3 of 5)

How to Rank in Gemini - A Content Strategy Built for Gemini Citations (Part 3 of 5)

Gemini citations reward content that's fresh, structured at the section level, and answers sub-queries cleanly. Part 3 covers the editorial patterns that earn citations and the refresh cadence that holds them.

How to Rank in Gemini - Build a Gemini-Readable Site: Schema, Entity Pages, and Google Signal Overlap (Part 2 of 5)

How to Rank in Gemini - Build a Gemini-Readable Site: Schema, Entity Pages, and Google Signal Overlap (Part 2 of 5)

Gemini is the AI engine where SEO and GEO overlap most. Part 2 covers the schema, entity pages, and technical SEO signals that earn Gemini citations and rank in Google at the same time.

How to Rank in Gemini - What Gemini Cites: Sources, Grounding, and the Google Connection (Part 1 of 5)

How to Rank in Gemini - What Gemini Cites: Sources, Grounding, and the Google Connection (Part 1 of 5)

Gemini grounds answers in real-time Google Search plus its training corpus. Knowing what Gemini cites and why is the prerequisite to ranking in it. Part 1 of a five-part series on earning Gemini citations.

GEO for Restaurants: How Local Food Brands Show Up in AI Recommendations

GEO for Restaurants: How Local Food Brands Show Up in AI Recommendations

ChatGPT recommended only 1.2% of locations across a March 2026 analysis of 2,751 multi-location brands. Restaurants live or die in that 1.2%. The data hygiene that decides who gets cited, what works, and what the engines are actually rewarding.

AEO vs. GEO - Terminology, Overlap, and When the Distinction Matters (Part 1 of 3)

AEO vs. GEO - Terminology, Overlap, and When the Distinction Matters (Part 1 of 3)

AEO and GEO describe overlapping work, but the distinction still matters when teams choose queries, content formats, and measurement. This article maps the terms without turning them into separate tool budgets.

Claude Fable 5 and the GEO Implications of More Capable AI Answers

Claude Fable 5 and the GEO Implications of More Capable AI Answers

Anthropic's Claude Fable 5 release points to an Organic GEO shift: stronger models will reward source consistency, evidence density, and clean machine-readable brand pages more than louder content volume.