Image SEO for AI Search: Making Screenshots, Diagrams, and Specs Machine-Readable
AI search mostly reads text, not pixels. Here's how alt text, captions, and context turn image-only evidence into something AI can actually cite.
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Canonical Tags for AI Search: Why "Hint, Not Rule" Means Something Different to LLMs
Canonical tags tell Google which duplicate wins. AI crawlers don't confirm they even read the tag — here's what actually shapes citations.
AI Search Content Maintenance: A Framework for Refreshing, Merging, and Retiring Pages
When AI answer engines cite half your archive and ignore the rest, "leave it published" stops being a neutral choice. Here's how to decide.
The AI Citation Audit Template: A Repeatable Method for Tracking What ChatGPT, Perplexity, and AI Overviews Actually Cite
A step-by-step audit template for tracking which pages, mentions, and sources get cited across AI answer engines — and rerunning it.
The AI Search Entity Audit: How to Verify AI Answer Engines Actually Know Who You Are
A step-by-step method for checking whether ChatGPT, Perplexity, and Google know your brand as its own entity — not a competitor or generic term.
URL Parameter Governance for AI Retrieval: Why Tracking and Session Codes Confuse Crawlers That Don't Do Canonicalization
Canonical tags tell Google which URL wins a duplicate-content contest, but several AI crawlers skip that step entirely — so ungoverned utm_*, session, and filter parameters can splinter one page into competing, uncredited copies.
Rendering Resources for AI Crawlers: What Can Break Retrieval
CSS, fonts, images, and blocked scripts don't stop AI crawlers from fetching a page — but they can stop that page from being read correctly. Here's what actually breaks retrieval, backed by real crawler data, and how to audit for it.
View-Source vs. Rendered DOM: The AI Search QA Check Most Teams Skip
Most AI crawlers read your raw HTML and never execute JavaScript — so the page a human sees in a browser and the page an AI engine actually indexes can be two different documents. Here's how to test both.
XML Sitemap Quality Checks for Large Content Sites: A Practical Audit Framework
Beyond "does the sitemap validate" — how to audit orphan URLs, lastmod accuracy, and segmentation at scale, and why AI crawlers make sitemap hygiene matter more than it used to.
PDF Citation Strategy: Publishing Research Assets Responsibly
A PDF that AI answer engines can crawl, parse, and cite accurately looks nothing like a PDF built for print — this is what tagging, metadata, and text-layer decisions actually change, and what they can't fix.
Topic Cluster Architecture for AI Retrieval: How Pillar Pages and Internal Linking Shape What Generative Engines Cite
Retrieval-augmented generation systems don't rank pages, they retrieve passages — which changes what "topic cluster architecture" needs to do. Here's what the research on chunking, query fan-out, and citation behavior actually says.
Organization Schema Audit for Brand Consistency: A Step-by-Step Guide
Fragmented Organization and LocalBusiness markup — a different logo on the pricing page, a stale address in the footer schema, a sameAs link to a dead Twitter handle — quietly breaks the entity signal AI search systems use to recognize a brand. Here's how to audit it and fix it.
Finding Schema Conflicts Across Templates: A Technical Audit for Large Sites
Large sites accumulate contradictory structured data — two Organization schemas, mismatched Product prices — as templates, plugins, and migrations pile up. Here's how to find it, why it confuses both Google and AI search systems, and how to fix it at the template level instead of page by page.
Author Entity Pages: How to Build Bios Google and AI Search Can Actually Verify
A generic "About the Author" blurb doesn't establish expertise to anyone — human or machine. Here's what a verifiable author entity page requires, backed by Google's own documentation and schema.org's Person type.
A Structured Data Validation Workflow Content Teams Can Actually Run
Schema markup breaks silently — a renamed field, a missing required property, a template change — and nobody notices until rich results disappear. Here's a repeatable validation workflow, the tools that actually check different things, and why passing every test still doesn't guarantee AI citation.
How Agencies Scope an AI Visibility Audit: Pricing, Boundaries, and Client Expectations
Scoping an AI-visibility audit is a different discipline from delivering one — it's where an agency decides what's included, what isn't, how it's priced, and what it will and won't promise, before any research starts.