# SEOVision

> SEOVision teaches practical SEO and AI search: step-by-step guides, free technical SEO tools, structured learning paths and experiments that publish their method and limitations.

Content is written in US English by the SEOVision Editorial Team. Pages describe workflows and evidence; none of them promises a specific ranking, traffic or AI citation result.

## Free tools

- [llms.txt Checker](https://seovision.info/tools/llms-txt-checker): Validate an llms.txt file against the llmstxt.org format, line by line, with HTTP and llms-full.txt checks
- [llms.txt Generator](https://seovision.info/tools/llms-txt-generator): Build a draft llms.txt from a site's sitemap, then edit and validate it
- [Robots.txt Tester](https://seovision.info/tools/robots-txt-tester): Test allow and disallow rules for Googlebot, Bingbot, GPTBot and other user agents
- [Image to WebP Converter](https://seovision.info/tools/image-to-webp): Convert and resize JPG and PNG images to WebP in the browser

## Learning paths

- [AI-Assisted SEO Audits and Internal Linking](https://seovision.info/learn/ai-seo-audit-course): Use supplied crawl evidence to triage SEO issues, propose useful internal links, and create a verified fix plan through five text lessons.
- [AI Content Creation and Refresh: From Brief to Reviewed Draft](https://seovision.info/learn/ai-content-workflow-course): Build an evidence-led SEO content brief, draft with AI, check claims, prepare metadata, and plan meaningful updates in five practical lessons.
- [AI Keyword Research: From Queries to a Content Map](https://seovision.info/learn/ai-keyword-research-course): Learn to prepare query data, use AI to suggest intent groups, review clusters, and build a practical content map with five text lessons.

## Guides

- [AI Overview Click Loss: How to Investigate a Traffic Drop](https://seovision.info/blog/investigate-ai-overview-click-loss): Investigate AI Overview click loss without guessing: compare clean Search Console windows, rule out other causes and report what the data supports.
- [llms.txt vs robots.txt: What Each File Controls](https://seovision.info/blog/llms-txt-vs-robots-txt): llms.txt vs robots.txt explained: one file sets crawler access, the other recommends pages to AI tools. Learn how they interact and which to fix first.
- [llms-full.txt: What It Is and When to Use It](https://seovision.info/blog/llms-full-txt): llms-full.txt puts the full text of your key pages in one Markdown file for AI tools. Learn where it came from, when it helps and how to build one.
- [How to Create an llms.txt File: Steps, Template and Examples](https://seovision.info/blog/how-to-create-llms-txt): A practical guide to create an llms.txt file that AI tools can read: choose the right pages, write useful notes, publish it correctly and check it.
- [AI Translation for SEO: Review Localized Pages Before Launch](https://seovision.info/blog/ai-translation-seo-review): AI translation for SEO needs more than fluent wording. Check market fit, meaning, local facts and implementation before a localized page goes live.
- [Build an SEO Calculator with AI and Verify Every Formula](https://seovision.info/blog/ai-built-seo-calculator-testing): Build an SEO calculator with AI help, then verify it works: write the specification first, check the math by hand and show every assumption.
- [Multilingual AI Visibility: Compare Markets Without Mixing Data](https://seovision.info/blog/multilingual-ai-visibility-comparison): Measure multilingual AI visibility fairly with equivalent prompts, local reviewers, matched scoring and reports that keep each market separate.
- [How to Update Outdated Content Without Faking Freshness](https://seovision.info/blog/meaningful-content-freshness): Learn how to update outdated content for real: diagnose what changed, choose the right action, build an evidence-based queue and finish every fix.
- [AI Referral Conversion Rate vs Organic: How to Compare Fairly](https://seovision.info/blog/compare-ai-organic-conversion): A high AI referral conversion rate is not proof of a better channel. Match definitions, show counts and compare similar visits before deciding.
- [Data Table Refresh with AI: Update Numbers Without Errors](https://seovision.info/blog/ai-data-table-refresh): Run a data table refresh with AI safely: extract with review, calculate with formulas and check only flagged changes before numbers go live.
- [SEO Prompt Testing: Validate a Prompt Before You Reuse It](https://seovision.info/blog/test-reusable-seo-prompts): SEO prompt testing turns a prompt that worked once into a reliable workflow, using acceptance rules, a varied test set and scores you can check.
- [Product Video SEO: Make Demos Easy to Find, Read and Cite](https://seovision.info/blog/product-video-ai-discovery): Product video SEO depends on the text around the demo: a checked transcript, chapters and a supporting page that people and AI systems can trust.
- [Create a Consistent Product Identity Across the Web](https://seovision.info/blog/consistent-product-entity-facts): Create a consistent product fact sheet across your website and third-party profiles so buyers can verify names, features and availability.
- [Identify AI Referral Traffic Without Inventing Attribution](https://seovision.info/blog/identify-ai-referral-traffic): Identify measurable AI referral traffic with documented source rules, while keeping direct traffic and unobservable attribution separate.
- [Summarize Research with AI Without Losing Its Caveats](https://seovision.info/blog/ai-research-summary-caveats): Summarize research with AI while keeping the population, method, limits and the line between correlation and causation intact, using a structured prompt.
- [Build a Marketing Knowledge Base AI Can Keep Current](https://seovision.info/blog/ai-marketing-knowledge-base): Build an AI marketing knowledge base with owned facts, source dates and update triggers so retrieved answers remain traceable and current.
- [Choose Credible Mention Opportunities from AI Source Lists](https://seovision.info/blog/ai-source-outreach-priorities): Prioritize credible outreach opportunities from AI citation sources by checking audience relevance, editorial fit and the contribution you can honestly offer.
- [Write Sections That Still Make Sense When AI Quotes Them](https://seovision.info/blog/self-contained-content-sections): Write self-contained content sections that remain understandable when quoted, with clear subjects, conditions and evidence near the claim.
- [Audit AI Brand Sentiment Without Trusting One Score](https://seovision.info/blog/ai-brand-sentiment-audit): Audit AI brand sentiment by reviewing specific claims and conditions, with a coding guide that avoids misleading single-score conclusions.
- [Check AI-Generated Statistics Before They Reach Your Blog](https://seovision.info/blog/verify-ai-generated-statistics): Verify AI-generated statistics by tracing each number to its original source and checking population, denominator, date and method before you publish.
- [Set Permissions Before Connecting an AI Agent to Your CMS](https://seovision.info/blog/ai-agent-cms-permissions): Set scoped permissions for an AI agent connected to your CMS, with draft-only actions, reviewable changes and a recovery plan before publication access.
- [Prepare Local Service Information for AI-Assisted Buyers](https://seovision.info/blog/local-service-ai-information): Prepare clear local service information for AI-assisted buyers with accurate coverage, booking details and location-specific facts that answer real questions.
- [Add Structured Data for Clear Facts, Then Test AI Outcomes](https://seovision.info/blog/schema-ai-citation-test): Use structured data to describe verified page facts, then test AI citation outcomes separately without assuming markup guarantees visibility.
- [What to Do When AI Gets Your Product Facts Wrong](https://seovision.info/blog/correct-ai-product-misinformation): Correct recurring AI product misinformation by tracing sources, fixing authoritative facts and retesting the same buyer questions.
- [Train AI on Your Brand Voice with Examples You Can Test](https://seovision.info/blog/ai-brand-voice-testing): Train AI on your brand voice with approved examples, testable rules and a blind evaluation set, while keeping facts separate from tone.
- [Use AI to Explain Search Console Data Without Filling the Gaps](https://seovision.info/blog/ai-search-console-data-gaps): Use AI to explain Search Console exports while preserving missing-query limits, compatible filters and the difference between observed data and hypotheses.
- [Write Product Comparisons AI Can Use and Readers Can Trust](https://seovision.info/blog/honest-ai-product-comparisons): Create trustworthy product comparisons with consistent criteria, verified facts and clear audience fit so readers can make a defensible choice.
- [How to Test llms.txt Usage on Your Website](https://seovision.info/blog/llms-txt-access-test): Measure llms.txt usage with server logs: set up a clean test, label your own traffic, read a zero correctly and report access separately from citations.
- [Find the Sources Behind Your Competitors’ AI Visibility](https://seovision.info/blog/competitor-ai-citation-source-map): Map the sources behind competitors’ AI citations and turn recurring source patterns into a focused research and content action list.
- [Turn Support Tickets into Better Help Content with AI](https://seovision.info/blog/ai-support-questions-content): Turn support tickets into help articles with AI: redact and deduplicate first, cluster by obstacle, verify the fix and measure resolution, not views.
- [Generate Internal Link Suggestions from Verified URLs](https://seovision.info/blog/ai-internal-links-verified-urls): Generate internal link suggestions with AI from a verified URL inventory, then check relevance, anchors and destinations before adding links.
- [Find an AI Content Gap Worth Filling](https://seovision.info/blog/ai-content-gap-prioritization): Prioritize AI-related content gaps using verified customer need, missing information and your ability to provide a useful original answer.
- [Separate AI Crawlers, Search Bots and User Fetches](https://seovision.info/blog/ai-crawler-access-policy): Create an AI crawler access policy by distinguishing crawler purpose, verifying current documentation and checking what your server actually receives.
- [Build an AI Visibility Baseline You Can Reproduce](https://seovision.info/blog/repeatable-ai-visibility-baseline): Create a reproducible AI visibility baseline by fixing prompts, settings and scoring rules while recording answer variability.
- [Turn an Expert Interview into a Useful AI-Assisted Guide](https://seovision.info/blog/ai-expert-interview-guide): Turn an expert interview into an AI-assisted guide that keeps the expert's real decisions, exceptions and uncertainty instead of generic advice.
- [Turn an AI SEO Audit into Tickets Developers Can Verify](https://seovision.info/blog/ai-seo-audit-developer-tickets): Turn AI SEO audit findings into developer tickets with reproducible evidence, expected behavior and acceptance checks that prevent vague fixes.
- [AI Meta Descriptions: Generate Candidates Without Making Promises](https://seovision.info/blog/ai-meta-descriptions): Draft AI meta descriptions from a page evidence sheet, reject unsupported promises, check the live HTML and measure the change without false wins.
- [Use Reddit and AI to Research Customer Problems](https://seovision.info/blog/reddit-ai-customer-research): Use Reddit and AI to identify customer problems while preserving thread context, separating promotion and avoiding false claims about market demand.
- [Use Query Fan-Out to Find Missing Buyer Information](https://seovision.info/blog/query-fan-out-content-map): Use query fan-out as a planning aid to uncover missing buyer questions without treating AI-generated subqueries as real search demand.
- [Track AI Mentions, Citations and Recommendations Separately](https://seovision.info/blog/ai-mentions-citations-recommendations): Distinguish AI mentions, citations and recommendations so your visibility report measures what the answer actually says about your brand.
- [How to Fact-Check AI Content with an Evidence Ledger](https://seovision.info/blog/ai-content-evidence-ledger): Fact-check AI content by linking every decision-relevant claim to a source, a date and a review decision in a simple evidence ledger you will maintain.
- [Build Your First Read-Only SEO Agent](https://seovision.info/blog/first-read-only-seo-agent): Build a first SEO agent around a narrow read-only task, with verified inputs, explicit limits and an output a reviewer can check.
- [Cluster Keywords with AI and Catch the Wrong Groupings](https://seovision.info/blog/ai-keyword-clustering-review): Cluster keywords with AI while checking intent, page purpose and ambiguous terms so similar wording does not create the wrong content groups.
- [Training, Retrieval and Tools: Diagnose an AI Answer’s Source](https://seovision.info/blog/ai-answer-source-diagnosis): Distinguish model knowledge, retrieved pages and live tool results when diagnosing where an AI answer may have obtained a product fact.
- [Prompt Tracking: Choose AI Search Prompts That Match Real Buyer Questions](https://seovision.info/blog/choose-ai-search-tracking-prompts): Prompt tracking is only as useful as the prompts you choose. Build a panel from real buyer questions, label intent and keep versions comparable.
- [How to Edit AI-Generated Content Before Publishing: A Review Checklist](https://seovision.info/blog/ai-draft-quality-check): Edit AI-generated content in the right order: verify risky claims, test the instructions, then polish the prose, with a release checklist and review roles.
- [How to Measure AI Search Visibility: From Impressions to Outcomes](https://seovision.info/blog/ai-search-measurement): Measure AI search visibility in four separate layers, use Search Console's generative AI report for what it covers and connect it to real outcomes.
- [AI Keyword Clustering Without Losing Search Intent](https://seovision.info/blog/ai-keyword-clustering): A step-by-step AI keyword clustering workflow: build a clean query table, combine similarity signals, name each cluster's task and map it to one page.
- [Schema Markup for AI Search: What Structured Data Can and Cannot Do](https://seovision.info/blog/structured-data-ai-search): Schema markup for AI search, minus the hype: what structured data really does, why no special AI schema exists and how to validate it safely.
- [Technical SEO Audit Checklist: A Practical 30-Minute Workflow](https://seovision.info/blog/technical-seo-audit-checklist): A focused technical SEO audit checklist for a 30-minute first pass: access, index controls, canonicals, discovery, page signals and measurable follow-up.
- [SEO Prompt Engineering: Reusable Prompt Templates, Guardrails and QA](https://seovision.info/blog/seo-prompt-engineering): SEO prompt engineering that produces work you can check: a seven-part prompt contract, copy-ready templates and a scoring list for every output.
- [A Human–AI Content Workflow That Protects Quality and Trust](https://seovision.info/blog/human-ai-content-workflow): An AI content workflow that splits each task between model and editor, keeps an evidence ledger and runs four review gates before anything goes live.
- [AI Search Optimization: A Practical Guide Beyond GEO Hype](https://seovision.info/blog/ai-search-optimization): AI search optimization without shortcuts: a five-stage model, the technical floor, answer-first content, four dead ends to avoid and a 30-day plan.
- [AI Internal Linking: Build a Useful Graph, Not a Link Dump](https://seovision.info/blog/ai-internal-linking): Use AI internal linking to find candidate links fast, then check each one for reader value, anchor clarity and a healthy canonical destination.
- [AI Content Refresh: Update Evidence, Not Just the Date](https://seovision.info/blog/ai-content-refresh): An AI content refresh workflow that finds stale claims and missing sections, verifies each change against sources and dates updates honestly.
- [GEO vs SEO: What Changes in AI Search, and What Does Not](https://seovision.info/blog/geo-vs-seo): GEO vs SEO explained without hype: what generative engine optimization adds, what stays the same, and how to split the work across your team.

## Experiments

- [AI Overviews, Impressions and Clicks: Interpret the Gap](https://seovision.info/experiments/ai-overviews-impressions-clicks-diverge): Impressions can rise while clicks or CTR fall. Review three SEO reports, current research and a segmented method for investigating AI Overviews.
- [AI Citation Tracking: Why Repeated Measurements Matter](https://seovision.info/experiments/repeat-ai-citation-measurements): AI citation tracking needs repeated prompts and stable conditions. Review three accounts and build a measurement plan that handles missing answers.
- [Off-Site Content and AI Discovery: What Three Reports Show](https://seovision.info/experiments/off-site-content-ai-discovery): Review Reddit, LinkedIn and local examples of off-site content and AI discovery, their limits, and a test that measures citations and useful referrals.
- [AI Referral Conversion Rates: Check the Denominator First](https://seovision.info/experiments/ai-referral-conversion-rate-context): AI referral conversion rates vary by sample, event and landing page. Compare four reports and calculate rates alongside lead volume and quality.
- [llms.txt Experiments: What the AI Visibility Evidence Shows](https://seovision.info/experiments/llms-txt-discovery-versus-citations): Compare four llms.txt experiments, current Google guidance and a practical protocol that separates file access, page discovery and AI citations.
- [AI Internal Linking: Review Suggestions Before Publishing](https://seovision.info/experiments/ai-internal-linking-reviewed-suggestions): Review three AI internal linking workflows, check anchors and destination URLs, and measure suggestion quality before adding links at scale.
- [AI Content Refresh: Three Workflows and a Better Test](https://seovision.info/experiments/ai-content-refresh-starts-with-data): Plan an AI content refresh using query data, factual checks and a change log. Review three workflows and measure updates without confusing causes.
- [AI SEO Audits: How to Verify Findings Before Making Fixes](https://seovision.info/experiments/verify-ai-seo-audits): AI SEO audits can save review time and still produce false findings. Learn how to verify evidence, prioritize real issues and test audit accuracy.
- [AI Content Speed vs. SEO Value: What Three Reports Show](https://seovision.info/experiments/ai-content-speed-versus-seo-value): AI content speed can hide review costs. Compare three public workflows and learn how to measure accepted pages, qualified traffic and SEO value.
- [Human Editing and AI Content: What Ranking Reports Show](https://seovision.info/experiments/human-editing-ai-content-durability): Review three reports on human editing and AI content, their ranking limitations, and a practical test for quality, cost and lasting SEO value.

## Optional

- [Prompt library](https://seovision.info/prompts): Versioned SEO and AI prompts with purpose, variables, testing notes and limitations
- [Topics](https://seovision.info/topics): Topic hubs that group the guides, tools and experiments by subject
- [About SEOVision](https://seovision.info/about): Who runs SEOVision and what it publishes
- [Editorial Policy](https://seovision.info/editorial-policy): How content is researched, drafted with people and AI tools, checked and corrected