A social topical map is a single content plan that decides what your brand covers across YouTube, Instagram, TikTok, X and LinkedIn, built from the Google queries that already surface your content. I created the framework in July 2026, the week Google launched platform properties in Search Console, because those properties handed us the missing input: real Google demand data for social and video content. This page is the canonical source for the method.
The idea is the tried and tested topical authority playbook from SEO, applied to social and video content. The goal is blunt: multiple placements on the same results page. Your article ranks, your video sits in the carousel, your social post appears in the platform surfaces, and AI answers cite whichever format fits the question. One topic, several results, and a competitor locked out of each slot you hold.
Why: rank in SEO and AI search at the same time
The reason you build a social topical map is the payoff in both search systems. Classic ranking on Google rewards topical coverage; AI search rewards being the citable source for a topic in whatever format the answer needs. Google has made the second half explicit: AI Mode is multimodal, understanding images and full scenes and fanning out multiple queries from them. A brand with mapped text, video and social coverage gives Google and the AI engines more than one asset to surface per topic. A text-only brand competes for exactly one.
Our first-party proof sits in the YouTube guide: StudioHawk's channel earned 18,233 Google impressions across 1,000 queries in its first single day of platform-property data, with zero clicks from those top queries. The demand was already there; the topical coverage was not. The map is how you close that gap deliberately.
The method in six moves
| Step | What you do | Output |
|---|---|---|
| 1. Connect | Add each social account as a platform property in Search Console | Google query data per platform |
| 2. Audit | Export queries, impressions and positions for your existing content | What Google already trusts you for |
| 3. Map | Cluster queries into core and outer topics, then extend with keyword research and Google Trends | The topical map: core topics, gaps, formats |
| 4. Produce | Make the videos and posts the gaps call for, format matched to intent | Coverage where demand already exists |
| 5. Embed | Publish on-platform, then embed on the matching site pages | Two candidates per query: page and video |
| 6. Dominate | Hold multiple placements as text, video and social results for the same topics | Compounding query data, back to step 2 |
The same map, five platforms
The framework is identical everywhere; what changes is which Google surfaces each platform can win and what content the platform rewards. That is why one map should drive all five, instead of five disconnected content calendars.
YouTube topical map
The deepest application, because YouTube wins the most Google real estate: video carousels, the video tab, key moments, and citations in AI answers. The full walkthrough with StudioHawk's live data is here: how to build a YouTube topical map.
Instagram topical map
Instagram content surfaces for brand, visual and how-to queries, and profile prominence matters more than any single post. Map priority: the core topics where image-led answers beat text, product-adjacent demand, and the queries your Reels can answer in under a minute. Captions carry the topical signal, so write them like titles, not vibes.
TikTok topical map
TikTok wins the short-video surfaces for how-to, review and trend queries. Map priority: question-shaped queries where a demonstration beats an explanation, and the trend-adjacent outer topics that spike on Google Trends. TikTok demand decays fastest, so this branch of the map refreshes most often.
X topical map
X surfaces for real-time, news and opinion queries, and profile carousels for name searches. Map priority: your commentary topics, the recurring industry debates you want your name attached to, and fast reaction posts on the news queries in your niche. X is the map's freshness layer, not its foundation.
LinkedIn topical map
LinkedIn posts and articles increasingly surface for B2B how-to, career and industry queries, and they dominate name searches for professionals. Map priority: the commercial topics your buyers search before shortlisting vendors, plus the expertise topics that make your people citable. For a consultancy, this branch converts hardest.
FAQ: social topical maps
What is a social topical map?
A social topical map is one content plan covering every topic a brand needs to own across YouTube, Instagram, TikTok, X and LinkedIn, built from the Google queries that already surface the brand's content via Search Console platform properties. The framework was created by Lawrence Hitches in July 2026.
How do I build an Instagram topical map?
Connect Instagram as a platform property in Search Console, export the queries surfacing your posts, cluster them into core and outer topics, and plan Reels and carousels against the gaps, prioritising visual and how-to intent. The step-by-step workflow is identical to YouTube's.
How do I build a TikTok topical map?
Same workflow: connect the TikTok platform property, harvest queries, cluster, and produce against gaps. Weight the map toward demonstration queries and refresh the trend layer monthly, since TikTok demand moves fastest.
Does the map work for X and LinkedIn too?
Yes. X covers the real-time and opinion layer, LinkedIn covers the B2B and expertise layer. Both connect as platform properties and feed the same map; only the format planning differs.
What data do I need to start?
Search Console platform properties for each social account, your existing site Search Console data, keyword research for the topics you have not touched yet, and Google Trends to time the seasonal and trending branches.
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