How to Vet an AEO Agency: 5 Red Flags Before You Sign
A buyer's guide to spotting AEO/GEO agency red flags — guaranteed citations, opaque methods, fabricated benchmarks, weak reporting, and scope that hides dependencies.
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GEO & AEO
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GEO & AEO
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The AI Search Technical Audit: A Crawl-and-Retrieval Checklist
A practical, consolidated crawl-and-retrieval audit for AI search engines — robots.txt, rendering, status codes, structured data, sitemaps, canonicals.
AI Overview Content Decay: How Citations Quietly Disappear — and How to Catch It Early
Pages keep ranking but quietly stop getting cited in AI Overviews. Here's why citations decay, the data behind it, and how to catch it before traffic falls.
Building AI-Search Topic Authority: Evidence Over Volume
Why AI answer engines reward interlinked, expert-reviewed topic clusters over high-volume content mills — and how to build genuine topical authority instead.
AI Citation Research Method to Avoid Sampling Bias
A rigorous method for building AI search visibility prompt sets that avoids sampling bias, personalization skew, and vanity queries that flatter your brand.
A Practical Framework for Optimizing Content for Google AI Mode
How AI Mode's query fan-out changes content strategy — research, evidence-block structure, technical accessibility, and what Search Console can (and can't) measure.
A Practical Method for Analyzing Google AI Overview Sources
A step-by-step method for sampling Google AI Overview citations, what patterns hold up under scrutiny, and how to turn findings into a content plan.
ChatGPT Search: What Website Teams Can Actually Control
A grounded breakdown of the real, controllable levers for ChatGPT Search visibility — crawl access, structure, citations, freshness — versus unverified ranking-factor claims.
How to Optimize Content for Gemini and Google AI Overviews
A practical framework for Gemini and AI Overview visibility: entity clarity, verifiable evidence, stable page structure, and how to actually measure citations.
Claude Search Visibility: What Brand Teams Should Actually Measure
Claude cites sources through a distinct three-crawler, encrypted-citation pipeline. Here's what to track and how it differs from ChatGPT and Google.
Mapping Source Overlap Across ChatGPT, Gemini, and Perplexity
A step-by-step method for comparing cited sources across AI search engines, spotting recurring competitor wins, and prioritizing the content fixes that actually move visibility.
Digital PR for AI Search: Why Answer Engines Trust Someone Else's Word Over Yours
AI engines cite third-party mentions 3x more than backlinks. Here's how digital PR earns that trust — and why link-bait tactics don't.
Original Research for AI Citations: How to Choose Questions Worth Publishing
Most "original research" is a vanity survey AI models ignore. Here's how to pick questions that earn citations — and the disclosure that makes them trustworthy.
Expert Quotes for AI Search: What Actually Earns Citations (and What's Fabrication)
Real, attributed expert quotes measurably raise AI citation rates. Here's the research, the sourcing process, and the line into fabrication.
Author Pages for AI Search: Bios That Prove Expertise Instead of Claiming It
How to build author pages AI systems and readers can independently verify — grounded in Google's E-E-A-T guidance and schema.org Person markup.
First-Party Data for AI Search: Turning Internal Knowledge Into Citable Content
Support tickets, usage logs, and product analytics can out-cite recycled blog posts in AI search — if you aggregate, anonymize, and publish them right.
The AI Search Competitor Source Map: Finding Out Who AI Engines Trust Instead of You
A method for mapping which sources AI engines cite when competitors appear in answers — and using that map to compete on evidence, not just keywords.
Comparison Pages for AI Search: How to Build "X vs Y" Pages That Actually Get Cited
AI engines are discounting vendor-biased comparisons. Here's the evidence, and the exact structure that earns citations instead of skepticism.
How to Build "Alternatives" Pages AI Engines Will Actually Cite
Most vendor alternatives pages get ignored by AI search. Here's the honesty-first structure — trade-offs, scenarios, dated facts — that earns citations instead.
Pricing Pages for AI Search: Structuring Plans So Answer Engines Quote Them Right
Why AI search engines misquote SaaS pricing, and the structural fixes — from Offer markup to per-seat basis — that make plans unambiguous.
Product Documentation for AI Search: Writing Docs That Agents Can Verify
How to write product and feature docs AI answer engines and coding agents can verify — not just repeat as unchecked marketing claims.
Case Studies for AI Search: Turning Customer Stories Into Citable Evidence
Why most B2B case studies are invisible to AI answer engines — and the specific, verifiable structure that gets one cited instead of skipped.
Help Center SEO for Answer Engines: Structuring Support Content AI Won't Get Wrong
How to structure help-center articles so AI answer engines retrieve your current, correct support info instead of stale or invented answers.
Webinars for AI Search: Turning Recordings Into Text Answer Engines Can Retrieve
Most AI crawlers can't watch a webinar. Here's how to turn the recording into transcripts, claims, and pages that answer engines can actually retrieve and cite.
