Entity-first SEO for personal brands (2026): a practical checklist that gets you indexed, trusted, and surfaced

If your top landing pages are /about and the homepage (instead of specific articles), you already have the hard part: people are curious about you.

The missing piece is what Google needs: a coherent, persistent entity model.

Entity-first SEO is not a hack. It is how search systems reduce risk:

• “Is this a real person/brand?”
• “Is this site about a consistent set of topics?”
• “Do these pages belong together?”
• “Should we keep indexing new URLs from this domain?”

If you want the “indexing as a system” model first, start here:

• Why pages don’t appear in search (indexing model)
• GSC indexing statuses explained

TL;DR (the checklist)

Do these 10 things, in this order:

1. Pick one canonical identity (name + site + handle) and use it everywhere.
2. Make /about a router, not a dead-end (1 CTA + 3 paths).
3. Publish a /press page and link it from /about.
4. Make your /socials page indexable and use rel="me" on profile links.
5. Add Person, Organization, and WebSite JSON-LD with sameAs.
6. Make authorship explicit on every post (author block + consistent name).
7. Build topic hubs (/topics/*) and connect pillars ↔ supporting posts.
8. Reduce URL noise: canonicals, redirects, and parameter stripping.
9. Strengthen “proof” signals: projects, media, bios, and consistent outbound profiles.
10. Validate in GSC: coverage, duplicates, rich results, and indexing speed over time.

This is what turns “people visit /about” into “Google trusts indexing the rest of the site”.

What “entity-first” means (in plain English)

Classic SEO thinks in pages and keywords.

Entity-first SEO thinks in relationships:

• Person → writes → articles
• Person → appears in → press
• Person → sameAs → X, YouTube, LinkedIn, Telegram
• Organization → publishes → website
• Website → about → person
• Website → covers → topics (hubs + clusters)

When those relationships are consistent, systems can compress the site into a stable model. When they are inconsistent, every new URL looks like a risk.

Step 1: pick your canonical identity (and stop drifting)

Choose:

• Public name: what appears on the site and in schema
• Canonical site: https://casinokrisa.com
• Canonical handle: the handle you want Google to associate with you (usually X)

Then apply everywhere:

• header/footer
• social links
• schema
• author name on posts
• press page

Consistency beats cleverness.

Step 2: make /about a router (not a biography)

Your /about should do one thing: route the user to the next value.

Rules:

• 1 primary CTA (“Read this first” / “Start here”)
• 3 entry points (“If you’re here for SEO → …”)
• 3 best essays (with what they give + reading time)

This is not “UX polish”. It is an entity signal:

• coherent topics
• coherent path
• coherent intent

Step 3: build “proof pages” (press, socials, projects)

Personal brands need pages that act like citations:

• /press: publications, podcasts, talks
• /socials: all profiles in one place (indexable)
• /projects or /media: tangible work, outcomes, artifacts

Link them from /about, and link back to /about.

It creates a closed loop that is easy to interpret.

Step 4: rel=me and sameAs (what they are actually for)

Two important mechanisms:

• rel="me" on profile links: says “this is my identity on another site”
• sameAs in JSON-LD: says “these URLs refer to the same entity”

Together they make it harder for systems to treat your site as a standalone anonymous blog.

If you want the technical consolidation model, see:

• Canonical tag vs redirect: decision tree

Step 5: structured data you actually need (no spam)

You do not need 15 schemas.

You need the core three:

• Person (you)
• Organization (your publishing entity, if applicable)
• WebSite (the site and its intent)

What matters is not the JSON itself. It is the consistency between:

• schema
• visible page content
• internal linking
• offsite profiles

Step 6: authorship on every post (repeat the obvious)

On each article page, make sure:

• your name is visible near the top
• there is an author box
• it links to /about
• it uses the same spelling/identity as schema

This is boring. Boring is good.

Step 7: topic hubs + clusters (the entity model for topics)

Topic hubs (/topics/seo, /topics/ai, …) are not “category pages”. They are your semantic spine.

The winning pattern is:

• Pillar (map)
• Hub (curated index)
• Supporting posts (single intent each)
• Back-links (supporting → pillar/hub)

If you want the blueprint, use:

• Internal linking strategy (topic clusters)

Step 8: reduce URL noise (so new pages get priority)

Entity-first SEO fails when your site footprint is messy:

• duplicate URLs
• parameter variants
• redirect chains
• unstable canonicals

Indexing is budget allocation. If you leak budget into noise, new content waits longer.

For the “priority decision” angle:

• Crawled, not indexed: what actually moves the needle

Step 9: what to track (so you know it’s working)

In GSC, track:

• indexing speed for new posts (days to indexed)
• ratio of indexed vs discovered URLs
• duplicate/canonical issues over time
• impressions across the cluster (not one page)

Step 10: what to do next (the compounding path)

If you want compounding traffic, do this loop:

1. Pick one hub (SEO).
2. Publish 6–10 supporting posts (each one intent).
3. Link them as a cluster.
4. Update the hub.
5. Repeat.

That is how you “vacuum traffic” without chasing news.

FAQ

Is entity-first SEO only for big brands?

No. It matters more for small sites because the system has less history to rely on.

Do I need Wikipedia or Wikidata?

Not to start. Those are outcomes, not prerequisites. Start with consistent identity, proof pages, hubs, and clean URLs.

Will schema alone fix indexing?

No. Schema helps interpretation, but indexing is still a priority decision. Internal linking + coherence + reduced URL noise are usually higher leverage.