Seedli Resources
AI models take months to absorb new content. The best time to start was six months ago. Insights explain why the game has changed. Playbooks show you exactly what to build. Examples show you what it looks like in the wild.
When every brand runs the same AEO playbook, AI cannot tell them apart. Recommendation Design is the discipline of being distinct on purpose.
The mechanism that decided rankings stopped operating once buyers started asking AI who to choose. Recommendation Design is the discipline that closes the gap.
When the dashboard says everything is fine and the pipeline says otherwise, the gap is in the AI layer. The short field guide for the next 90 days: five tactical moves, four anti-patterns, and the deeper discipline.
A playbook for the content that answers buyers' most common AI question: "which provider is better for my situation?" Four formats, one page structure, and the Seedli signals that tell you which comparison to build first.
A playbook for turning the metrics you already collect into the benchmark data that AI models cite when advising buyers in your category.
A playbook for the "how we deliver" page that gives AI models structured process evidence on the expertise and service criteria where your brand is being evaluated or filtered out.
Your FAQ section is an AI visibility goldmine, if you build it right. A technical guide to structure, schema, linking, and content that earns AI mentions.
A playbook for the content type that turns client outcomes into citable evidence on the exact criteria where your brand is being filtered out.
Read priority sections, see how AI describes your brand, generate a brief with the four-phase workflow, and turn an entry in the plan into a finished article.
The decision logic behind AI brand recommendations, and why most companies are optimising for the wrong signals.
How to measure business impact instead of AI visibility scores. The five metrics that predict whether showing up in AI responses leads to being chosen.
A playbook for the content cluster that answers "what happens after I choose you?" Implementation timelines, migration guides, onboarding plans, and SLA pages that convert Final Verification hesitation into signed contracts.
A playbook for the content type that tells buyers when you are the wrong fit, and earns stronger AI recommendations for the buyers where you are the right one.
19 on-page factors that determine whether ChatGPT, Gemini, Claude, and Perplexity cite your pages. Structure, evidence, originality, and the patterns that get you filtered out.
A playbook for the content type that matches the way buyers actually ask AI: not "which is best?" but "which is best for my situation?"
A playbook for the content type that converts evaluation-stage visibility into decision-stage selection by answering the question buyers actually ask: "how do I switch?"
Your headings are not formatting. AI models parse them as a navigational index that determines which section answers which buyer question.
Most schema advice optimises for rich results. This technique optimises for the structured context layer that AI models read on top of your content.
A publication date tells AI models when you wrote it. Temporal authority signals tell them when you last confirmed it is still true.
A feature comparison table is not a decision framework. This playbook shows how to build the scoring rubrics, checklists, and decision trees that AI models adopt when advising buyers in your category.
Most internal linking guides tell you to link more. This technique tells you to link less, link better, and design the topology as a knowledge graph that signals comprehensive coverage.
Google truncates at 155 characters. AI models read every word. Here is the technique for writing descriptions that serve both audiences without compromising either.
FAQ pages are a content format, not a content strategy. This playbook covers the five direct-answer types, the page structure editors need, and the difference between a Google-era FAQ and one built for AI-mediated buying decisions.
A playbook for producing data-driven content that maps how AI models structure your market and positions your brand as the definitive source.
A playbook for the content type that proves your market is competing on the wrong criteria and positions your brand on the ones that actually differentiate.
A worked Criteria Flip analysis. One market leader by Gravity. Two Hidden Differentiators with no Full-Service entries. And the -41 point Decision drop that explains the whole pattern.
A step-by-step playbook for comparison content that honestly names a competitor's strengths and earns AI citations at the evaluation stage.
63 buyer scenarios. 6 decision stages. One finding most vendors in this market have not yet acted on.
A playbook for building content that addresses the risk dimensions AI models use to filter your brand out at evaluation.
A playbook for producing narrative customer journeys that give AI models evidence at every decision stage.
AI does not surface the best content. It uses content to build buying decisions. Here is how to create the content it actually needs.
The tools that keep counting mentions will become the vanity metrics of the AI age. Here’s what they’re not telling you.
