| name | seo-content |
| description | 2026 SEO content writing for marketing sites — search intent, on-page structure, keyword research, E-E-A-T, internal linking, and AI Overview optimization. Use when this capability is needed. |
| metadata | {"author":"Aldocooek"} |
SEO Content — 2026 Marketing Site Writing
Search Intent Classification — Do This First
Before writing a single word, classify the intent of the target query. Getting this wrong means the page will not rank regardless of quality.
| Intent | What the user wants | Content format |
|---|
| Informational | Learn something | Long-form guide, tutorial, comparison |
| Navigational | Find a specific site/page | Not a content play — fix your brand SERP |
| Commercial investigation | Evaluate options before buying | Comparison, listicle, review |
| Transactional | Buy or sign up now | Landing page, product page |
To verify intent: Google the keyword. Look at the top 5 results. Match their format and depth. If the SERP is all listicles, write a listicle. If it is all tutorials, write a tutorial.
Title, H1, and Meta Description
Title tag:
- 50–60 characters max (Google truncates at ~580px).
- Primary keyword near the front.
- Differentiation signal: year, number, modifier ("Best", "Complete Guide", "For [ICP]").
- Example:
B2B Cold Email Templates That Actually Book Meetings (2026)
H1:
- Can differ from the title tag — use the keyword naturally, not stuffed.
- One H1 per page only.
Meta description:
- 120–158 characters.
- Not a ranking factor but directly affects CTR.
- Include primary keyword, a benefit, and an implicit CTA.
- Example:
Skip the generic templates. These cold email frameworks generated 3,000+ replies for SaaS teams in 2025. Copy and adapt.
Keyword Research Workflow
Paid tools: Ahrefs Keywords Explorer, Semrush Keyword Magic.
Free stack (in order):
- Google Search Console — find queries where you rank 8–20 and optimize for them (fastest wins).
- Bing Keyword Research Tool — free, underused, shows volume and CPC.
- AlsoAsked.com — maps the "People Also Ask" tree; reveals the sub-questions to answer in the article.
- Google autocomplete + related searches — primary keyword in the search bar, scrape suggestions.
Targeting signal: primary keyword + 3–5 secondary/LSI keywords woven naturally into H2s and body copy. Do not stuff. Google detects unnatural density.
Difficulty vs. opportunity heuristic: target keywords with KD < 30 for new sites, KD 30–60 for established domains. Above 60 requires serious authority and backlinks — a content play alone will not rank.
E-E-A-T Signals (Experience, Expertise, Authoritativeness, Trustworthiness)
Google's quality rater guidelines penalize thin, anonymous, unverifiable content. Countermeasures:
- Author byline with real name, photo, credentials, and LinkedIn link.
- First-person experience. "I tested X" or "Our team ran Y" signals real experience.
- Citations and sources. Link to primary research, studies, and authoritative domains.
- Publication date + last-updated date. Keep evergreen content updated annually at minimum.
- About page and author bio pages. Must exist and be detailed.
- Expert quotes. Pull quotes from named practitioners (with permission).
For YMYL (Your Money or Your Life) topics — finance, health, legal — E-E-A-T requirements are significantly stricter. Anonymous content will not rank.
Internal Linking
Internal links distribute PageRank and signal topical authority. Do both:
- Hub-and-spoke. Create a pillar page for a broad topic; link to it from all related cluster posts. Pillar links back to clusters.
- Contextual links. Link from body copy using descriptive anchor text (not "click here"). Anchor text should describe the destination page's topic.
- Rule of thumb: 3–5 internal links per 1,000 words.
- Audit broken internal links quarterly.
AI Overview / SGE Optimization
Google's AI Overviews (formerly SGE) cite specific sources. To be citation-worthy:
- Answer the question in the first 100 words. The model favors content that answers directly before elaborating.
- Use structured formats. Numbered steps, definition-first paragraphs, comparison tables — all easier for LLMs to parse and cite.
- Claim specificity. "Reduces churn by 18%" is citable. "Reduces churn significantly" is not.
- FAQ schema. Marks up questions and answers explicitly for AI parsing (see snippet below).
- Structured data. Article, BreadcrumbList, and FAQPage schemas increase the signal-to-noise ratio for crawlers.
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [
{
"@type": "Question",
"name": "What is a good cold email open rate?",
"acceptedAnswer": {
"@type": "Answer",
"text": "A good cold email open rate for B2B outreach is 40–60%. Below 30% usually signals deliverability problems or weak subject lines."
}
}
]
}
Add this in a <script type="application/ld+json"> block in the page <head>.
On-Page Checklist Before Publishing
What Not to Do
- Do not keyword-stuff. "Best CRM software best CRM best software for CRM" will trigger a manual or algorithmic penalty.
- Do not write for bots. Write for the user who typed that query — what do they need to know?
- Do not publish thin content (< 600 words) unless the intent is genuinely a short answer.
- Do not ignore cannibalization. Two pages targeting the same keyword split authority. Merge or redirect one.
- Do not chase volume alone. A keyword with 200 monthly searches and clear transactional intent often converts better than a 10,000-search informational keyword.
Source: Aldocooek/lukasdlouhy-claude-ecosystem — distributed by TomeVault.