Tactical playbooks, deep-dive research, and real benchmarks from brands winning AI search in 2026. New posts weekly.
Five concrete reasons AI assistants name your competitors and skip you, each with a test you can run today and the fix that actually moves the answer.
llms.txt is a community proposal, not a ratified standard, and no major AI crawler is documented as obeying it. Here is its real status and whether to publish one anyway.
PerplexityBot is Perplexity's indexing crawler, and it is not the same as Perplexity-User. What each one does, how to allow or block them, and how to verify a request is genuine.
What an AI visibility platform actually needs to do, the see-fix-prove test that separates real platforms from dashboards, and how the main options compare.
Four acronyms, heavily overlapping, and mostly used loosely. What each term actually refers to, where they genuinely differ, and which one your team should care about.
AEO services vary more in quality than traditional SEO retainers. What the work actually involves, what a real deliverable looks like, and the questions that expose weak agencies.
AEO tools fall into four categories that solve different problems. Which type you need depends on whether you cannot see the problem, cannot fix it, or cannot prove the fix worked.
Most AI visibility work dies at the quarterly review because it can show a score but not a result. The see-fix-prove loop, and why splitting it across four tools breaks it.
Data residency is the question that stalls AI visibility purchases at security review, and almost no vendor documents it publicly. What to ask, and what good answers look like.
Search Console shows Google clicks and nothing about AI answers. What can and cannot be joined between the two datasets, and how to build a view that survives contact with reality.
A practitioner's guide to appearing in Google AI Overviews. How the answer box picks its sources, the signals that earn a citation, and how to measure it.
The complete umbrella playbook for AI search optimization. The six pillars that get your brand mentioned and cited across the AI assistants and AI Overviews that now answer your buyers' questions.
A plain-language walkthrough of how AI assistants actually decide which brands to name when a buyer asks. And why that pipeline works nothing like a Google ranking.
ChatGPT reaches your content two different ways. Its trained knowledge and its live browsing. Here's how to optimize your site so it surfaces and cites you in both.
Google Gemini can ground its answers in Google Search, so the levers that move it differ from ChatGPT or Perplexity. Here is a practical playbook for getting Gemini to name your brand.
AI brand monitoring is how you see what ChatGPT, Gemini, Claude, and Perplexity say about your brand. Here's what to track, how to do it, and how to turn the signal into action.
Structured data won't magically get you cited, but it makes your pages machine-readable in ways that help AI assistants trust and quote you. Here are the schema types that matter and how to ship them.
A practical writing playbook for content optimization for LLMs. Lead with the answer, write self-contained quotable passages, and structure pages so AI assistants lift and cite them.
The bots that feed ChatGPT, Gemini, Claude, and Perplexity read your site differently than Googlebot did. Here is how to make sure AI crawlers can actually reach, read, and cite your content.
An honest read on the 2026 AI search shift: where the numbers are directional, where they're solid, and what the move to answer engines actually means for your brand's visibility.
A practical, no-hype playbook to improve your AI Visibility Score across the factors that actually move it: mentions scaled by buyer intent, then prominence, citations, and sentiment.
Your keyword rankings can be perfect while AI assistants never mention you. Here is why AI visibility and SEO rankings are different disciplines, and what to measure instead.
When ChatGPT, Claude, Gemini, or Perplexity decide which brands to name, they lean on sources the wider web already trusts. The AI Authority Rating captures that off-site trust, and explains why some brands get cited while equally good competitors get ignored.
Anyone can ask ChatGPT once and screenshot the answer. Turning that into a defensible number is the hard part. Here is the full AI Visibility Index methodology: the four models, zero-brand-name buyer queries, intent-weighted scoring, and the honesty gates that keep it credible.
The AI visibility score, explained end to end: the four components, how they are intent-weighted, how to read the bands, and why single-model or mention-only numbers mislead.
The five technical signals that make ChatGPT recommend your brand in category queries.
The terms are used interchangeably but mean different things. Here's the working definition for each, plus when each matters.
Plain-English explanation of why your brand needs to be in AI answers, not just Google results.
A practical, technical-first playbook.
Diagnosing the five most common reasons your category competitor gets cited by AI and you don't.
Perplexity's citation rules are different from Google's. Here's what works.
Survey data, behavioral patterns, and what it means for category positioning.