# Ref Sp Web Social Media > Decide whether and how a site or brand should invest in social and video platforms (TikTok, YouTube, Instagram, LinkedIn, X) for organic discovery — separating what the platforms and independent research actually document from the large layer of agency folklore, and measuring it honestly inside walled-garden analytics. Use when: asked whether to be on TikTok/YouTube/Instagram for reach, how discovery or in-app search works on a platform, whether outbound links hurt reach, how younger audiences find things, how social content shows up in Google, or judging a social-strategy claim or agency deck. - Skill: `swiftpostlabs/ref-sp-web-social-media` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add swiftpostlabs/ref-sp-web-social-media` - Raw SKILL.md: https://api.skillmd.com/api/skills/swiftpostlabs/ref-sp-web-social-media/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Product & Planning - License: MIT - Author: swiftpostlabs (https://skillmd.com/u/swiftpostlabs) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/swiftpostlabs/ref-sp-web-social-media --- # Social and Video Platforms ## Purpose Give honest guidance on social and video platforms as discovery surfaces: what the platforms themselves document, what independent research actually shows, and — the part most sources get wrong — how much of the prevailing "social strategy" advice is unvalidated folklore that should not be shipped as a recommendation. This is the counterpart to `.agents/skills/ref-sp-web-seo/SKILL.md` for the platforms Google does not own. ## Verify before you assert — this rots as fast as SEO **Content below was verified 2026-07-13.** Platform algorithms, tools, and public statements change constantly, and almost none of it is versioned the way Google's docs are. Every dated claim has a row in `./references/sources.md` with its source, its tier, and what would invalidate it. Re-fetch the platform's own newsroom/help pages before asserting a specific — and read the content, not the status code (these pages are client-rendered; a `curl` may return an empty shell, so use a real browser via `.agents/skills/ref-sp-dev-playwright-cli/SKILL.md`). ## When to use this skill - Asked whether a brand "should be on TikTok / YouTube / Instagram" for reach. - Asked how discovery, the feed, or **in-app search** works on a platform. - Asked whether posting outbound links hurts reach ("zero-click content"). - Asked how a younger audience finds products, places, or how-tos. - Asked how social or video content shows up in Google. - Sanity-checking a social-strategy claim, an agency deck, or a "platform algorithm 2026" article. **Route elsewhere when:** the question is attribution or "which channel converts" (`.agents/skills/ref-sp-web-marketing/SKILL.md` — it owns Direct, dark social, and self-reported attribution; do not restate it here); visibility in AI answers / chatbots (`.agents/skills/ref-sp-web-seo-ai/SKILL.md`); or ordinary SEO of the site itself (`.agents/skills/ref-sp-web-seo/SKILL.md`). ## The honest position, stated first Three things are true at once, and most advice collapses them: 1. **Platform search is real, and at least one platform documents it.** TikTok states plainly that "search powers discovery on TikTok," and ships **Creator Search Insights** — a first-party tool showing which topics people search and which are "content gaps" (searched often, few videos). That is tier-1 evidence that in-app search matters and a demand-side tool exists. Treat it as the strongest fact in this skill. 2. **The headline behaviour stat is real but far narrower than quoted.** The famous "40% of young people use TikTok/Instagram instead of Google" traces to a Google SVP describing US 18–24-year-olds *"looking for a place for lunch"* — "something like almost 40%." It is a real first-party statement about *local/dining discovery in one age band in one country*. "Gen Z has abandoned Google" is a documented misrepresentation of it. Quote the real version. 3. **Almost every tactic layered on top is folklore.** Precise reach-penalty percentages, "semantic chunking" of video for LLMs, "transcribe everything," "creator ads always beat display" — these are agency assertions, often from vendors selling the service. Apply the claim-tiering rule from `.agents/skills/ref-sp-web-seo/SKILL.md`: documented → independently researched → inferred → vendor assertion. Say which tier you are in, every time. So the deliverable is: **name the audience and intent, check whether platform presence is actually warranted for them, do the small documented things, and refuse to ship the folklore.** ## Is this audience actually on-platform? (do not assume) The single most expensive mistake is investing in a platform because a statistic said a cohort uses it, without checking that *this brand's* audience and intent match. Discipline: - **Anchor to real cohort data, and note its bounds.** The Swedish Internet Foundation's 2025 survey (real population survey) found TikTok reaches 78% of high-school students and YouTube dominates every age group — strong for that country and cohort, not a global constant. Ask for the equivalent for the actual target market rather than importing a headline. - **Match the intent, not just the demographic.** The 40% stat is about *finding lunch*. Platform discovery is strong for local, product, food, how-to, and entertainment intents; weak for many B2B, high-consideration, or reference queries. A cohort being "on TikTok" does not mean they search TikTok for *your* thing. - **When the data does not exist, say so.** "We do not know whether this audience uses this platform for this intent" is a finding. The fix is a small test, not a strategy deck. ## In-app search and discovery Where a platform documents its own discovery, use that rather than a blog's reverse-engineering. - **TikTok** documents search-driven discovery and provides **Creator Search Insights** (searched topics, content-gap topics, a search-value signal that feeds Creator Rewards) and brand **Search Hubs**. This is first-party demand data — the closest thing to keyword research the platform offers. - **YouTube** is both the second-largest search destination and a video library; its own creator documentation is the source of truth for titles, descriptions, and chapters. Verify current guidance rather than reciting it. - **Recommendation feeds are not search.** "For You" ranking is opaque and undocumented; anyone claiming to know its weights is selling a hypothesis. Optimise for the documented search surface, treat the feed as unpredictable distribution. ## Outbound links and "zero-click content" The claim: platforms suppress posts carrying external links, so publish full value natively instead of driving a click. Handle it with calibrated confidence, because the evidence is genuinely mixed. - **The effect is plausible and partly evidenced, but the magnitude is disputed and no platform confirms it.** The largest independent LinkedIn analysis (van der Blom, ~1.3M posts) reports a body link reduces median reach ~18–19%; a separate large analysis (Saywhat, ~400k posts) found link-containing posts performed *better*, crediting content quality. Two big independent studies, opposite conclusions. No platform documents a link penalty. - **So: design as if native value matters, without quoting a number as fact.** Lead with standalone value in the post; put the link where it costs least (bio, comment, second step) *if* the platform suggests it — but present any specific percentage as "reported by X," tier-2 at best, not a law. - **"Zero-click" is a reach tactic, not a measurement excuse.** If you keep users on-platform, you also give up the referrer — which lands the visit in Direct. That is a measurement problem owned by `.agents/skills/ref-sp-web-marketing/SKILL.md`; hand the attribution half there. ## Measuring it: two walled gardens Social measurement fails in two independent ways, and conflating them produces nonsense. 1. **Native platform analytics are non-comparable and self-serving.** Each platform defines a "view," "reach," and "engagement" differently, does not let you export a clean cross-platform picture, and has an interest in the numbers looking good. Never rank platforms against each other on their own metrics. 2. **Off-platform, attribution is broken.** A tap from a bio link arrives without a referrer and lands in Direct. This is the dark-social problem — measured, and owned by `.agents/skills/ref-sp-web-marketing/SKILL.md` (self-reported attribution is the recovery). Do not restate it; route there. **The one first-party cross-surface measurement that exists** is Google's Search Console **platform properties**: connect an Instagram, TikTok, X, or YouTube account and see clicks, impressions, CTR, and average position for how *that content performs in Google Search, Discover, and News*. Its limit is the whole point — it measures the **Google surface only**, not native platform engagement (a TikTok video's TikTok views are invisible to it). Useful, and narrow. See `.agents/skills/ref-sp-web-seo/SKILL.md` for how that Google surface behaves. ## Defaults - **Lead with the tier.** State whether each claim is platform-documented, independently researched, inferred, or vendor-asserted — the audience is drowning in confident folklore. - **Prefer a small test to a strategy deck.** One platform, one intent, a fixed window, self-reported attribution. Learn whether the audience is there before committing budget. - **Do the documented things first:** use the platform's own search-insight tool, publish native value, verify current creator guidance. Skip the reverse-engineered feed hacks. - **Re-verify before asserting.** Platform tools and statements change monthly; a claim more than a few months old is suspect. ## Gotchas - **Do not import a foreign statistic as a local fact.** Swedish survey numbers, US survey numbers, and a Google exec's dining anecdote are not interchangeable, and none is global. - **Do not quote an algorithm-penalty percentage as settled.** The best independent studies contradict each other and the platforms stay silent. - **Do not treat "For You" reach as controllable.** It is undocumented; optimising for it is optimising against a black box. - **Do not confuse native reach with business outcome.** A million views that you cannot attribute and that drove no action is a vanity metric — the sample-size and signal-vs-noise discipline in `.agents/skills/ref-sp-web-marketing/SKILL.md` applies here too. ## Scope **Out of scope — paid social advertising.** Ad formats, bidding, Spark Ads, and creator-ad buying are paid media, a separate discipline with its own measurement (the platforms provide conversion tracking for spend they are paid for). This skill is about *organic* discovery and reach. Say so if a user conflates the two; "boost it" is not the same decision as "should we be here." ## References - `./references/sources.md` — provenance by section, with each claim's evidence tier and what would invalidate it. Read it before asserting any dated specific. - `.agents/skills/ref-sp-web-marketing/SKILL.md` — attribution, dark social, and whether a difference is signal or noise. It owns measurement; this skill routes there rather than restating it. - `.agents/skills/ref-sp-web-seo/SKILL.md` — how content performs on the Google surface, and the claim-tiering rule this skill applies. - `.agents/skills/ref-sp-web-seo-ai/SKILL.md` — visibility in AI answers, the neighbouring "new discovery surface" concern.