GEO Automation Spec
LovedByAI Research Team
Last updated July 2026
What LovedByAI FixesAutomatically
The same GEO Information Gap checklist a developer would implement by hand - marked up with what the LovedByAI WordPress plugin already ships the moment it's installed, and what still needs a human. Items tagged Automated require zero setup.
The split in one sentence
LovedByAI automates the entire technical foundation - semantic structure, schema, EEAT signals, the Quick Answer block, FAQ markup - the moment the plugin is active. The judgment calls that make a page genuinely citable - the pivot point, the deep dive, original research - are still yours. The plugin removes every reason a good page fails on technical grounds; it can't write your expertise for you.
01 · Ideal page structure
- 1
H1 - the exact topic or entity the page is about
AutomatedOne per page. Specific and answerable, not clever or abstract.
- 2
Introduction (50–100 words)
Answers what, why, and who it's for. Works for a human and an LLM at once.
- 3
Quick Answer block
Automated2–4 sentences. The most extractable, quotable version of the answer - this is what gets cited.
- 4
Why it matters / core components
A bulleted or numbered list of the key factors. LLM crawlers extract structured lists aggressively.
- 5
The Pivot Point
The most important sentence on the page. Introduces the complexity, data, or tool that only a visit resolves.
- 6
The deep dive
Full methodology, step-by-step processes, data tables, embedded media, downloadable assets, interactive tools.
- 7
Original research / proprietary data
Its own section with a clear heading. Content the AI can't recreate from training data - outsized citation effect.
- 8
FAQ section
AutomatedClear question headings mapped to FAQPage JSON-LD. One of the most-cited block types in AI Overviews.
- 9
CTAs after major sections
Short, specific, tied to the depth just covered - referencing the gap you just created.
DOM scaffold (legible to Google, ChatGPT, Gemini, Claude, Perplexity, Bing)
AutomatedThe plugin writes this semantic HTML structure into every page - no theme edits, no developer ticket.
<main>
<section id="quick-answer"></section>
<section id="explanation"></section>
<section id="framework"></section>
<section id="examples"></section>
<section id="case-study"></section>
<section id="original-research"></section>
<section id="faq"></section>
<section id="next-steps"></section>
</main>02 · Technical foundation checklist
Every group below is fully covered by the plugin - nothing on this list requires a developer.
Semantic HTML5 architecture
Automated- Use <main>, <article>, <section>, <header>, <aside>, <nav> - not a flat stack of <div>s
- Each content block sits in a meaningfully named semantic element the LLM can read from raw DOM
Headings as a knowledge map
Automated- Every H2 frames a specific user question or subtopic (not “Our Process” / “Overview”)
- Every H3 narrows to one concrete point
- Test: replace a heading with a placeholder - if meaning survives, the heading isn't pulling its weight
JSON-LD structured data
Automated- Article or TechArticle with headline, datePublished, dateModified, author, keywords
- FAQPage schema for any FAQ section
- BreadcrumbList for navigation context
- Product / SoftwareApplication when the page discusses a product, plugin, or tool
EEAT signals
Automated- Named author with title, credentials, and a link to a bio/profile page
- “Reviewed by” attribution for technical or data-heavy content
- Visible datePublished AND dateModified, mirrored in Article JSON-LD
- Outbound links to primary sources (studies, docs, papers)
Technical SEO baseline
Automated- Title tag: unique, 50–60 chars, primary query near the start
- Meta description: 150–160 chars
- Open Graph: og:title, og:description, og:image
- Canonical URL declaring the authoritative version
- Core Web Vitals: LCP < 2.5s, low CLS, responsive INP
AI-targeted summary block
Automated- Directly below the opening paragraph, add a Quick Answer section (id="quick-answer")
- 2–4 sentences, answers the core query directly, no hedging - this is the version that gets cited
03 · Content formula
This part is yours to build - no plugin substitutes for original judgment or data. Build value density toward the bottom: layers 1–2 win the citation; layers 3–6 win the click.
| Layer | Type | Share of page |
|---|---|---|
| 1 | Direct Answer | 10% |
| 2 | Explanation | 20% |
| 3 | Framework / Process | 20% |
| 4 | Examples | 20% |
| 5 | Case Studies | 15% |
| 6 | Original Research | 10% |
| 7 | CTAs | 5% |
04 · The five information levels
Levels 3–5 depend on real experience and proprietary data - the plugin can't generate these for you, only make sure they're structured well once you do.
05 · GEO Mistakes LovedByAI Prevents Automatically
- Publishing only Level 1 facts the AI already has - give it nothing unique to cite you forAutomated
- Putting your best data in the introduction - it gets extracted on the first crawl passAutomated
- Generic headings (“Benefits”, “Overview”, “Conclusion”) that carry no entity weightAutomated
- Missing or incomplete schema - forcing the AI to infer structure it could have readAutomated
- Referencing assets (templates, tools, benchmarks) without naming them in body textAutomated
- No named author, sourced claims, or visible dates - reads as unsigned contentAutomated
- Treating GEO as one-time - update dateModified on every substantive changeAutomated