SOCIAL SEARCH OPTIMIZATION / DIAGNOSTIC

Social Search Legibility Diagnostic

Social platforms now use AI to decide what you're an authority on and whether you show up when people search. This diagnostic shows you what they concluded, whether it's right, and where it helps or hurts you.

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AI platforms are search engines now

Social platforms stopped relying on hashtags to understand content. TikTok, Instagram, and Meta's AI read your captions, transcribe your audio, and analyze your video frames to decide what your account is about. When someone searches a topic inside the app, those systems decide whether you surface.

Authority and interest determine visibility

The systems decide what you're an authority on and who's interested in it. That decision determines whether you show up. Get it right and you surface for your topic. Get it wrong and you surface for the wrong things, or nothing at all.

Is your topical authority clear?

Social platforms can only surface you for a topic if they're confident what you're an authority on. If your content is scattered or unclear, they can't categorize you, and you don't surface for anything. The diagnostic shows you whether your authority is clear enough to be sorted, and for which topics.

HOW IT WORKS

Are you showing up in social searches in core interest categories?

Map your current retrieval footprint. We pull a structured view of where and how the account appears across TikTok, Instagram, Facebook, YouTube, and Reddit search and recommendation surfaces for a defined set of queries. We document the platform-native labels, the autocomplete and related-topic surfaces, and how the AI search layers cite or summarize the account's content. For the AI layer specifically, we query the major models in controlled conditions and record what they actually say about the account's authority, run multiple times because the outputs are probabilistic, and we report what holds across runs rather than a single snapshot.

Compare machine understanding to actual expertise. Our practitioners review that map against your real expertise, product, or category brief. We identify where the systems are over-indexing on the wrong themes and where they're under-representing your core strengths.

Score authority by topic and adjacency. We render a topic-by-topic judgment: clear authority, emerging authority, not yet credible, or off-topic risk. For brand engagements, we overlay your target category and call out where the creator extends or dilutes perceived authority.

Deliver a human-read, evidence-backed report. Not a dashboard. Practitioner commentary plus selective evidence, query results, snippet examples, and recommended moves that a creator or an executive can act on.

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WHO THIS IS FOR

A social search audit for creators and brands

Creators: prove your authority

You know what you're an expert in. The question is whether the systems that decide who gets found agree with you. You walk away with a human-reviewed map of your authority: what you're trusted to talk about, what's unclear, and what's pulling your categorization in the wrong direction.

Creators: find your adjacent categories

We assess how far your topical credibility realistically extends into adjacent categories you could credibly move into. You can put the map in front of a brand to show exactly where your authority sits and where a partnership would land.

Brands: vet a partnership

Your team evaluates creators on audience size, engagement, and brand fit. None of that tells you whether a partnership will register where buyers now search. We answer one question: will partnering with this person extend your category authority, or just add reach the systems won't connect to your category?

Brands: evidence for leadership

How the creator is actually categorized in the systems that matter, whether their authority sits inside your category, is adjacent to it, or is unrelated to it. A creator with a huge audience in the wrong cluster is reach, not authority. We tell you which one you're buying.

Not a monitoring tool or automated score

Monitoring tools tell you how often you're mentioned. This tells you what the systems believe about you and whether it's accurate. The outputs of AI systems are probabilistic and personalized. A human who understands retrieval does the reading. That's the work.

A diagnosis, not the optimization itself

The diagnostic stops at diagnosis and recommendation. The ongoing work of restructuring your social presence so the systems read you correctly is Social Search Optimization. This gives you the map before you invest in that work.

Diagnose, then optimize

Social Search Optimization is the ongoing work of structuring your social presence as a retrieval surface, so humans find you and AI cites you across TikTok, Instagram, Facebook, YouTube, and the AI search layers on top of them. The Social Search Legibility Diagnostic is the fixed-scope engagement that comes first. Before you invest in restructuring, you see how the systems read you now.

Request the diagnostic

FAQ

Questions creators and brands ask about social search

The platforms build a topic profile of your account from your captions, transcribed audio, on-screen text, and the content of your video frames. That profile decides what you surface for. If it's wrong, you're being shown to the wrong people and missed by the right ones. The diagnostic shows you the topic profile the platforms and AI search systems have actually built for you, where it's accurate, and where it's off. Fixing it means giving the systems clearer, more consistent signals about what you're an authority on, which is the optimization work that follows the diagnosis.
Yes. When your content spreads across unrelated topics, the systems can't form a confident view of what you're an authority on, so they hedge, and you surface weakly for everything instead of strongly for one thing. Topic consistency is what lets a platform categorize you cleanly and push you to the people searching that topic. The diagnostic shows you how coherent your topic profile reads to the systems right now and whether your range is helping you or scattering your signal.
This is the core question the brand version of the diagnostic answers. We assess what topics the platforms and AI search systems actually associate the creator with, not what their media kit claims. A creator who posts about your category occasionally, as a prop in content that's really about something else, reads to the systems as belonging to that other category. The diagnostic tells you whether your category sits at the center of the creator's authority, adjacent to it, or just passing through.
A partnership extends your authority when the creator's established topic clusters overlap with or sit close to your category, so their content about you lands in the right neighborhood for AI search and social discovery. It confuses your positioning when the creator is known for something unrelated, because the systems read the content through the creator's existing profile, not your category. The diagnostic gives you a clear read on which one a specific partnership would be, with the evidence behind the judgment, before you commit budget.
Hashtags are a minor signal now. The platforms moved to understanding content directly: reading captions, transcribing audio, analyzing video frames, and matching all of that against what users search and the interest categories they follow. That shift is exactly why being legible to the systems matters more than tagging. The diagnostic looks at the signals that actually drive categorization today, not the ones that used to.
Sometimes, and unevenly. YouTube content is cited regularly because it's crawlable and has a text layer. Short-form content on TikTok and Instagram is cited far less often, though that's been trending up across Google's surfaces through 2026. The more durable path is that clear, consistent social authority shapes how the systems understand you overall, which influences whether they recommend you when someone asks. The diagnostic shows you what the AI search layer currently understands about your authority and where the gaps are.
A social media audit looks at your posting, engagement, and growth. An analytics report counts followers, reach, and engagement rate. Both measure performance. This measures something different: what the platforms and AI search systems believe you're an authority on, whether that's accurate, and where it places you. It's not a count of how you're doing. It's a read on how you're understood, which is what determines whether you surface for the right topics.
A human-reviewed report, not a dashboard. It maps the topic clusters the systems associate with you, flags where their understanding is accurate, inaccurate, or fabricated, identifies the adjacent categories your authority could credibly extend into, and gives you specific recommendations. For brands, it adds a verdict on whether a creator partnership extends or dilutes your category authority. You walk away knowing exactly where you stand in the systems that decide who gets found, and what to do about it.