Platforms & strategy
How to Choose an AI Search Visibility Platform
Evaluate AI visibility software with a practical checklist for provider coverage, citation evidence, comparable prompts, and a usable fix workflow.
4 min read
The Surgbly journal
Understand the signal.
Know what to fix.
Practical guides for the team responsible for search and AI visibility. Measure clearly, find the cause, and verify the work.
40 guides · SEO, AEO & GEO · Evidence before edits
Platforms & strategy
Choose the right approach before choosing another tool.
Platforms & strategy
How AI Search Optimization Connects Diagnosis, Fixes, and Verification
Build an AI search optimization workflow that connects a visibility observation to a grounded diagnosis, reviewed change, and separately verified result.
4 min read
Platforms & strategy
SEO, AEO, and GEO: Build One Coordinated Workflow
Coordinate SEO, answer engine optimization, and generative engine optimization around shared pages, evidence, owners, and separate success measures.
4 min read
Platforms & strategy
Evaluating a GEO Platform: Evidence, Crawl Access, and Verification
Assess generative engine optimization platforms through source evidence, crawler diagnostics, control boundaries, and a practical verification trial.
4 min read
Platforms & strategy
AEO Platforms: Evaluating Answer Coverage and Accuracy
Evaluate answer engine optimization software by checking question coverage, factual support, extraction, source accuracy, and reviewed page improvements.
4 min read
Platforms & strategy
AI Search Analytics: Connect Mentions, Citations, and Conversions
Build an AI search analytics view that keeps exposure, source citations, referral visits, and qualified conversions connected without confusing their units.
4 min read
Platforms & strategy
AI Visibility Dashboards: Metrics Your Team Can Act On
Design an actionable AI visibility dashboard with coverage, comparable trends, source-level gaps, owners, and verification outcomes.
4 min read
Platforms & strategy
AI Search Optimization for Websites: A Practical 90-Day Plan
Plan 90 days of AI search work around a baseline, public access, useful content, reviewed fixes, and measured follow-up rather than guaranteed rankings.
4 min read
Monitoring & measurement
Turn prompts, mentions, and citations into comparable observations.
Monitoring & measurement
How to Build a Repeatable AI Visibility Monitoring Program
Set up an AI visibility monitoring program with buyer prompts, stable cohorts, repeated observations, source evidence, and a clear review cadence.
4 min read
Monitoring & measurement
AI Visibility Tracking: Establish a Baseline and Handle Variance
Build a reliable AI visibility baseline, handle failed runs and answer variability, and compare stable cohorts before reacting to a score change.
4 min read
Monitoring & measurement
AI Search Share of Voice: Formulas, Examples, and Limitations
Calculate AI share of voice with explicit counting rules, worked examples, and separate definitions for brand mentions and source citations.
4 min read
Monitoring & measurement
How to Track AI Brand Mentions Separately From Citations
Track AI brand mentions with alias rules, context review, accurate-answer checks, and a clear distinction between named exposure and linked citations.
4 min read
Monitoring & measurement
AI Prompt Monitoring: Versions, Locales, and Repeat Checks
Monitor AI prompts with immutable versions, explicit locale and provider context, stable schedules, and comparable repeat observations.
4 min read
Monitoring & measurement
AI Prompt Research: Find Questions Your Buyers Ask
Research AI search prompts from buyer evidence, group them by decision intent, and distinguish observed questions from modeled variations.
4 min read
Monitoring & measurement
How to Create an AI Search Visibility Report
Build an AI visibility report that separates prompt observations, first-party engine data, website visits, delivered fixes, and business outcomes.
4 min read
Monitoring & measurement
AI Visibility Alerts: Identify Meaningful Changes
Design AI visibility alerts around stable question groups, valid samples, material changes, and evidence that helps an owner choose the next check.
4 min read
Monitoring & measurement
How to Benchmark AI Visibility With Comparable Prompts
Benchmark AI visibility using a stable buyer-question panel, explicit competitors, valid samples, and provider-specific definitions that support fair comparisons.
4 min read
Monitoring & measurement
Prompt Gap Analysis: Find Buyer Questions You Have Not Covered
Find missing buyer questions in your monitoring panel and content inventory, then add distinct prompts with clear intent, versions, and answer evidence.
4 min read
Monitoring & measurement
AI Visibility Impact Tracking: Evaluate Results After a Fix
Evaluate an AI visibility fix using delivery evidence, comparable prompt observations, first-party reports, website outcomes, and explicit attribution limits.
4 min read
Citations & competitors
Understand the sources and gaps behind an AI answer.
Citations & competitors
AI Citation Tracking: Measure Links, Sources, and Changes
Learn how to track AI citations at the answer and URL level, normalize sources carefully, and investigate changes without confusing mentions with links.
4 min read
Citations & competitors
How to Monitor Competitors in AI Search
Create a fair AI competitor monitoring panel with relevant brands, unbranded buyer prompts, consistent surfaces, and inspectable answer evidence.
4 min read
Citations & competitors
How to Find AI Citation Gaps Against Competitors
Identify competitor citation gaps by comparing relevant answers and sources, diagnosing the missing evidence, and choosing an action you can control.
4 min read
Citations & competitors
How to Analyze Competitor Visibility Beyond Citation Counts
Analyze AI search competitors by buyer intent, answer role, cited page types, factual evidence, and controllable opportunities.
4 min read
Citations & competitors
AI Answer Gap Analysis: Diagnose Why Your Brand Is Missing
Diagnose missing-brand answers by separating access, understanding, relevance, authority, freshness, and measurement problems.
4 min read
Citations & competitors
AI Citation Source Analysis: Classify the URLs Engines Reference
Classify cited URLs by ownership, page type, topic, and observed role to understand which sources support answers and where your pages differ.
4 min read
Citations & competitors
AI Search Source Intelligence: Map Sources Beyond Your Website
Map independent publishers, documentation, communities, and comparison sources cited in AI answers, then choose accurate and appropriate next actions.
4 min read
Content & technical readiness
Make useful pages accessible, understandable, and worth referencing.
Content & technical readiness
How to Structure Content for Clear, Accurate AI Answers
Structure content around a real question with direct answers, precise facts, readable examples, useful headings, and supporting evidence.
4 min read
Content & technical readiness
AI Crawler Audit: A Practical Website Checklist
Audit AI crawler access through public responses, robots policies, edge challenges, initial HTML, redirects, and independently verified request evidence.
4 min read
Content & technical readiness
How to Check AI Search Crawler Access Through Robots.txt and WAFs
Check declared crawler policy and actual edge responses separately, verify authentic requests, and review narrowly scoped access corrections.
4 min read
Content & technical readiness
AI Readability Audits: Find Content That Is Hard to Extract
Audit whether public page text exposes the answer, clear entities, units, limitations, and important links in both initial and rendered content.
4 min read
Content & technical readiness
Schema and Entity Audits: Check Structured Data Against Page Facts
Audit structured data for valid syntax, consistent entities, current facts, correct URLs, and agreement with the visible page.
4 min read
Content & technical readiness
AI Search Technical Audits: Prioritize Indexing, Rendering, and Access
Prioritize a technical AI search audit by page importance, public retrieval, indexing signals, rendered content, schema accuracy, and discovery paths.
4 min read
Content & technical readiness
AI Search Content Gap Analysis: Find Missing Topics and Intent
Map buyer questions to existing pages, distinguish missing information from access problems, and prioritize content gaps with useful evidence.
4 min read
Content & technical readiness
Optimizing Existing Pages for AI Search: Which Pages to Update First
Choose existing pages to improve using buyer intent, factual gaps, access checks, and business relevance, then verify a focused content update.
4 min read
Content & technical readiness
When to Create a New Page for an AI Search Opportunity
Decide whether an AI search question needs a new page or an existing-page update using distinct intent, verified information, and useful navigation.
4 min read
Fixes & recovery
Move from a finding to a reviewed change and a verified outcome.
Fixes & recovery
SEO Traffic Dropped: How to Investigate the Cause
Investigate an SEO traffic drop by separating reporting changes, demand, rankings, indexing, and site releases before choosing a repair.
4 min read
Fixes & recovery
Build an SEO Fix Workflow With Evidence and Rollback
Turn SEO findings into scoped, reviewable changes with affected URLs, delivery checks, rollback instructions, and comparable outcome evidence.
4 min read
Fixes & recovery
AEO Auto-Fix Packs: What to Review Before Deployment
Review answer-focused fix packs for factual accuracy, scope, public content, structured data consistency, and rollback before publishing changes.
4 min read
Fixes & recovery
GEO Auto-Fix Packs: Prioritize Crawler and Schema Changes
Prioritize GEO fixes by verified access, indexing, rendering, and schema defects, then review narrow changes and retest the public response.
4 min read
Fixes & recovery
AI Search Visibility Dropped: Build a Recovery Plan
Investigate an AI visibility decline by checking comparable samples, affected questions, source changes, page delivery, and a reviewed recovery action.
4 min read