SEO · GEO · AEO
How to make content citable by AI without writing for robots
An editorial method for producing clear, original and verifiable answers that help people and can be retrieved by generative engines.
Executive brief
Key takeaways
- Deliver the primary answer before broad context.
- Create value that cannot be replaced by a generic synthesis.
- Keep sources, numbers and limitations close to the claim.
- Use semantic structure and structured data as confirmation.
A page does not become citable just because it uses short sentences, lists or schema. It becomes citable when it offers a clear answer and a reason to be selected as a source. That reason can be direct experience, a reproducible method, first-party data, a careful comparison or a synthesis that removes ambiguity.
Structure makes reading and retrieval easier. Substance creates value. Both need to work together.
Start with the reader's decision
Before writing, complete this sentence:
After reading, the person will be able to decide ________.
“Understand GEO” is broad. “Decide whether to fix the SEO foundation before investing in mention monitoring” is concrete. The clearer the transformation, the easier it becomes to select evidence and remove decorative sections.
Also map the primary question, required subquestions, objections, examples, primary sources and the limitation that prevents an absolute conclusion.
Answer early, demonstrate later
An effective introduction does not need to narrate the entire history of the internet. It delivers the conclusion and explains why the issue matters.
For a definitional question, the first block should:
- name the concept;
- explain its function;
- show when it is useful;
- include the main limitation.
The body can then demonstrate the answer, present a method and address exceptions. This structure serves readers in a hurry without reducing depth for those who need it.
Publish non-commodity content
Google's guide to generative Search features recommends unique, useful, non-commodity content. A page that only rearranges familiar definitions offers little reason to be selected among equivalent sources.
Direct experience
Show what happened in an implementation, migration, test or diagnosis. Describe context and conditions, not only the final result.
Method
Turn knowledge into a sequence another person can apply. A strong method defines inputs, steps, criteria, output and limitations.
First-party data
Explain collection, period, sample and exclusions. A number without a method may create rhetorical impact but weakens trust.
Comparison
Compare options by use case, source, cost, precision, effort and risk. Avoid tables where one option wins every row without justification.
Thesis
An opinion becomes useful when it exposes its premises and evidence. “GEO is the future” is a slogan. “GEO should follow technical eligibility because lack of access invalidates editorial experiments” is an evaluable thesis.
Keep evidence close to the claim
When a page cites a Core Web Vitals threshold, link to the documentation that defines the metric. When it describes a product capability, link to documentation or a page that shows that capability. When it reports an experiment, explain the design.
A complete quantitative claim identifies who measured, what was measured, the period, sample, context and limitations. If those details are unavailable, reduce the strength of the statement. “A study observed an association” is different from “this increases conversion.”
Structure around real questions
Use one h1 for the main subject. Each h2 should act as a small answer promise. h3 headings detail causes, alternatives or steps.
Compare “Measurement” with “How to measure presence in generative answers.” The second heading carries context and helps readers using a table of contents, screen reader or automated retrieval system.
Lists work for criteria and sequences. Tables help when alternatives share dimensions. Quotes should highlight a meaningful formulation, not decorate the page.
Give entities consistent names
Make it clear who published, who wrote, which product is described and when the content was updated. Use consistent names for the organization, product, metrics and concepts.
Consistency includes authorship, dates, institutional pages, unique titles and descriptions, links to related concepts and aligned product information. It does not require excessive repetition; it requires the absence of contradiction.
Use semantic HTML before special layers
Main content should be available as text and navigable through real links. Headings, paragraphs, lists, tables and article elements help people and machines interpret function and hierarchy.
Structured data can confirm title, author, dates, organization and breadcrumbs. Google's guidelines require markup to represent visible content and state that valid implementation does not guarantee a rich result.
Do not add properties the page cannot support. Schema is a verifiable declaration, not space for invisible promotional copy.
Do not fragment the reading experience to “please AI”
Very short paragraphs, repeated definitions and dozens of headings can look scannable while destroying the argument. There is no universal block size.
Google states that content does not need to be broken into tiny pieces for its generative features. The criterion remains usefulness to the audience. Use the smallest unit that preserves the answer, context and precision.
Create self-contained blocks with an editorial purpose
TL;DR sections summarize the central conclusion; key takeaways state derived decisions; checklists support execution; tables compare; FAQs address objections; examples show application; limitations prevent extrapolation.
Do not repeat the same sentence in every component. Each block should summarize, guide, compare, demonstrate or limit.
Build a cluster, not an isolated page
A broad guide should link to specific diagnostics. A tutorial should return to the guide that explains priority. This network distributes context without turning every article into an encyclopedia.
On the Remountly blog, a GEO and AEO guide can lead to visibility audits, crawler controls, structured data and JavaScript SEO. Performance content can branch into LCP, INP and CLS while keeping a Core Web Vitals guide at the center.
Internal links should appear where they answer the next question, with descriptive anchor text.
Review like an investigator
Review the draft in four layers:
- Factual: Are time-sensitive claims current? Does the source support the sentence? Is the metric still used?
- Logical: Does the conclusion follow from the evidence? Was correlation treated as cause? Was an important exception omitted?
- Editorial: Does the answer appear early? Does any section only add volume? Is there an original contribution?
- Technical: Is the HTML accessible? Do links work? Is metadata unique? Does schema match visible content? Is main content available without required interaction?
Citable content does not come from a secret formula. It comes from publishing something clear, verifiable and difficult to replace — and keeping it accessible to the people who need it.
Direct answers
Frequently asked questions
Is there an ideal paragraph length for AI?
There is no universal length. Use the space required to answer clearly and with enough context, prioritizing human reading.
Should every heading repeat the target keyword?
No. Headings should describe the question or decision in the section. Natural language and useful synonyms are preferable to artificial repetition.
Does structured data make AI cite a page?
There is no guarantee. Markup can help compatible systems interpret entities and enable specific features, but it must reflect visible content.