Blog · Guide
Working notes on Google SEO and AI search
The archive
Everything we’ve published
Topic
- 6 min
AI Search Mentions vs Organic Traffic: The Correlation Data
Do AI search mentions drive organic traffic? The published coefficients measure different things. Here’s what the data shows and how to run the lagged test.
- 9 min
How to Launch a GEO Service Line: A 30-Day Agency Plan
Launch a GEO service line at your SEO agency as a 30-day pilot on one client: baseline, on-page fixes, third-party placement, then a report and a price.
- 11 min
AI Visibility Tools Pricing: What They Actually Cost (2026)
AI visibility tools pricing compared: per-prompt, per-domain, per-seat and credit models, with 2026 entry prices from six vendors normalized to one unit.
- 10 min
How to Measure AI Search Optimization ROI: Cost per Citation
Measure AI search optimization ROI in cost per citation: baseline four inputs, strip branded prompts, label each link from citation to revenue by confidence.
- 8 min
How to Improve AI Search Visibility: A 5-Step Workflow
How to improve your AI search visibility in the order the fixes actually pay off: crawler access, answer-first passages, schema, then citable substance.
- 7 min
What Is AI Search Optimization? GEO, AEO vs Traditional SEO
AI search optimization is how you earn citations inside AI answers on ChatGPT, Perplexity and Google AI Overviews. What GEO and AEO mean, and how to measure it.
- 9 min
Where Does AI Get Its Information? What AI Engines Cite
Where does AI get its information? We tracked 14,503 citations across ChatGPT, Perplexity and Gemini: the sources they cite and how to become one of them.
- 9 min
White-Label AI Visibility Reporting: What Clients Expect
What agency clients expect in a white-label AI visibility report, what white-label really means on today’s tools, and a seven-section report template to copy.
- 8 min
AI SEO for SaaS: Getting Into the AI Recommendation Set
AI SEO for SaaS starts with placement: the four signals AI engines use to build a recommendation set, the levers that get you listed, and weekly tracking.
- 10 min
How to Choose an AI Visibility Platform: 9 Data Criteria
9 criteria for choosing an AI visibility platform: data collection method, engine coverage, refresh cadence, citation depth. Accurate tracking, not guesswork.
- 9 min
Citation Gap Analysis: Find What AI Cites Instead of You
Run a citation gap analysis step by step: pull your AI citation data, benchmark competitors, and turn the gap into concrete fixes, with a real worked example.
- 8 min
How to Rank in Google AI Overviews: A Practical Guide
Learn what actually gets a page cited in Google AI Overviews: the selection signals, schema markup’s real impact, and how to track and recover citations.
- 19 min
AI Citation Building for SaaS: A Data-Backed GEO Framework for 2026
A Generative Engine Optimization (GEO) playbook for AI citation building, drawn from analysis of 10,563 AI citations across ChatGPT, Claude, and Perplexity.
- 8 min
How to Track Your Brand Mentions in ChatGPT, Claude & Perplexity (Step-by-Step)
How to track your brand's mentions across ChatGPT, Claude, and Perplexity: build a prompt library, automate tracking, and read the metrics that matter.
- 19 min
Best AI Search Visibility Checkers & Audit Tools 2026
A roundup of free checkers and paid audit platforms, plus a step-by-step method for measuring where your brand currently stands in AI-generated search answers.
- 4 min
AI Search Visibility Tracking in LLMs (2026): Manual vs Amadora.ai
What AI search visibility tracking measures, how to do it manually with a repeatable method, and how that compares to running it automatically with Amadora AI.
- 10 min
How to Build an AI Search Prompt Set for Agencies (2026)
Build and maintain a high-intent AI search prompt set: how many prompts to track per client, funnel tagging, and a free industry-specific starter list.
- 5 min
How to Track AI Search Visibility: The Amadora.ai Quickstart Guide
A step-by-step walkthrough for setting up AI search visibility tracking in Amadora.ai, from account creation through reviewing sources and competitors.