How slicky.click turns claims into useful evidence.
Every page begins with a decision question, prefers primary documentation, separates observation from inference, dates changing facts, and publishes the limitation beside the answer.
We do not assign invented scores, copy one vendor’s claims about another, publish affiliate rankings, or create one page for every wording of the same query. A page exists only when it answers a distinct job with enough evidence to remain useful after the search result is closed.
1. Start with a decision question
A research brief is scoped around work someone must perform: choose a collection architecture, decide whether visitor-level detail is necessary, estimate an experiment, clean campaign links, or compare a defined set of vendor operating models. The scope determines which facts belong and which attractive facts are merely adjacent.
Search demand helps prioritize questions, but it does not create evidence. We consolidate synonyms into one strong answer rather than publishing near-duplicate pages for “live analytics,” “real-time analytics,” and every other wording.
2. Use a source hierarchy
- Standards, regulators, legislation, and official platform documentation support definitions, technical limits, crawler behavior, and legal context.
- A vendor’s own pricing, product documentation, policy, status page, and changelog support claims about that vendor.
- Reproducible tests can support an observed behavior when the method, environment, and date are recorded.
- Secondary reporting may provide context, but it does not override a current primary source and is not used for a competitor feature claim without verification.
Vendor superlatives—“best filtering,” “most accurate,” “fully compliant,” or market-size claims—remain attributed assertions unless independent evidence supports the comparison.
3. Date facts that can change
Prices, traffic allowances, retention, hosting regions, feature availability, crawler instructions, and platform limits receive a visible evidence date. Comparison pages link the official source beside the scope note. A buyer is told to recheck current terms when a purchase or migration is made.
Published and reviewed dates are not changed merely to look fresh. A date changes when the underlying sources or analysis are rechecked. Material factual changes are summarized in the correction log.
4. Compare intended configurations
Analytics products are configurable systems. A no-cookie default may have an optional persistent identifier; a broad platform may be configured minimally; a self-hosted product may send data to external services. We compare the documented default, the relevant options, and the configuration required for the use case instead of reducing privacy to a logo.
The comparison dimensions are purpose, collection path, identity method, browser storage, consent behavior, hosting and control, detail level, retention, access, export, deletion, operational work, feature fit, and cost structure. The page then states who should shortlist each option.
5. Keep calculations inspectable
The conversion calculator uses a Wilson 95% interval rather than presenting a small proportion as exact. The A/B planning tool uses the standard normal approximation for two independent proportions with a two-sided significance level and stated statistical power. It is an estimate, not a sequential stopping rule.
UTM and campaign utilities normalize labels without posting their values to a server. The GA4 checker validates documented format and prefix rules, not whether a syntactically valid name is a meaningful business event. The privacy checklist exposes every missing control behind its simple score.
6. Use automation without hiding it
Research synthesis, code generation, test scaffolding, and editorial image generation were assisted by generative AI. Product facts were checked against linked primary sources, utility math is covered by executable tests, and generated images are labeled as illustrations rather than product UI. No generated person, testimonial, customer, dashboard result, or review is presented as real.
AI assistance does not become the named authority for a factual claim. The authority remains the cited standard, platform, regulator, vendor document, or reproducible method.
7. Optimize for retrieval without manufacturing pages
Pages use descriptive titles, one clear H1, direct summaries, meaningful headings, canonical URLs, internal routes, source ledgers, large image previews, structured data that matches visible content, a sitemap, robots controls, and a concise llms.txt index. These make content easier to crawl and understand; none guarantees a ranking or citation.
Google’s current guidance for AI search features explicitly warns against creating separate pages for every query variation. slicky.click follows that direction: distinct evidence assets and working tools instead of doorway pages, hidden scheduled copies, or fabricated freshness.
8. Correct the record
A material correction changes a price, feature, identity method, technical instruction, calculation, or conclusion. Typography and clarity edits do not receive a material correction entry unless they altered meaning. The correction page records material changes and the date they became public.
The holding edition does not yet operate a public submission inbox. That is stated plainly rather than publishing a nonfunctional contact address. The research desk performs scheduled rechecks and prioritizes pages with prices, crawler controls, and platform limits.