Entity audit & disambiguation
How machines currently resolve you: name collisions, competitor confusion, stale facts, and orphaned profiles. The gap between who you are and what the graph says.
Entity SEO & Optimization
Make Google and every AI engine agree, exactly, on who you are.
Entity SEO is the work of turning your brand from a string of keywords into a thing machines recognize: one canonical record of who you are, what you do, and who vouches for it. That record is what Google renders as a knowledge panel and what AI engines ground their answers in. We build it deliberately: Wikidata, structured data, sameAs graphs, and the corroborating citations that make machines agree on one version of you.
3B entities Google purged from its Knowledge Graph in 2026. Thin, uncorroborated records died; sourced entities survived
3.2× more likely to earn a knowledge panel with a verified, sourced Wikidata item behind the brand
2.7× more likely to appear in AI Overview citations once the entity graph is in place
Why it matters now
AI engines don't rank your pages first.
They resolve your entity first.
When AI Mode, ChatGPT, or Perplexity decides whether to recommend you, it resolves you as an entity before it reads a single page: who is this brand, what category does it belong to, who corroborates that. Google made the stakes explicit in 2026 by deleting roughly 3 billion weak entities from its Knowledge Graph so the survivors could serve as grounding data for AI Overviews and AI Mode. Brands with a clean, corroborated entity graph get named accurately and cited confidently. Brands without one get paraphrased, confused with competitors, or skipped. This is the deepest-moat work in GEO: slow to build, brutal for competitors to displace.
Establish the entity home
A Wikidata item with sourced claims, organization schema on your domain, and consistent identifiers. The single canonical record every other surface points back to.
Corroborate it everywhere
Profiles, directories, press bios, and registries brought into exact agreement: same name, same facts, same category. Machines trust what independent surfaces repeat identically.
Defend the record
Entities drift, facts go stale, and bad edits happen. Google's 2026 purge proved that unmaintained records get culled. Ongoing monitoring keeps the graph accurate and alive.
What's included
The entity optimization build, end to end.
Wikidata item build
A properly sourced, notability-appropriate Wikidata item with verifiable claims. No spam edits, no puffery: items built to survive editor review, because reverted edits set you back months.
Schema & sameAs graph
Organization, Person, and Brand markup with a complete sameAs web linking every legitimate profile. The machine-readable assertion of identity, deployed on your domain.
Corroboration campaign
The independent citations that make the claims stick: press bios, industry registries, speaker profiles, and directory records, aligned word for word.
Knowledge panel triggering & claiming
Once eligibility signals are in place, we work the triggering process and claim the panel so you control updates. Founders and executives get the same treatment as the brand where it pays.
LLM & accuracy monitoring
Monthly checks on the panel, the Wikidata item, and how ChatGPT, Perplexity, and AI Mode describe you. Drift gets corrected before it propagates into answers.
How the work runs
Entity work compounds. The sequence is what makes it stick.
First
Resolve the identity
Audit how every machine surface currently sees you. Naming conflicts and contradictions get fixed before anything new gets built on top of them.
Build
Create the canonical record
Wikidata, schema, and the sameAs graph go live as one consistent assertion of who you are, sourced well enough to survive scrutiny.
Corroborate
Earn the agreement
Independent surfaces brought into alignment, citation by citation. This is the slow part, and the part competitors can't shortcut either.
Defend
Trigger, claim, monitor
Panel eligibility worked until it renders, ownership claimed, and the record monitored monthly so it stays true across Google and the LLMs.
Client Outcome
What entity-building from zero looks like when it works.
From the results library: measured performance across a full engagement window.
A new brand in the loudest category on earth: 0 → 1.13M impressions, now surfacing for the category's head terms.
0 → 1.13M impressions in 6 months
~15K/day impressions, up from zero
Top 10 entering for category head terms
Read the full story“Six months ago, searching our name returned everything except us. Now the category searches bring us discovery calls, and the compounding is visible week over week.”
Straight answers
Questions we
get asked first.
No sales spin. If the honest answer is "it depends," we tell you what it depends on.
- What is entity SEO?
- Entity SEO (also called entity optimization or entity-based SEO) is the practice of building one canonical, machine-verifiable record of your brand: a sourced Wikidata item, organization schema, a sameAs graph linking your legitimate profiles, and independent corroborating citations. Search engines and AI models resolve brands as entities, not keywords, so this record decides how accurately you get named, described, and recommended.
- What's the difference between entity SEO and entity optimization?
- Nothing meaningful: they're the same discipline under two names. Entity SEO is the more common search term; entity optimization emphasizes the ongoing work of keeping the record accurate. Both cover the Wikidata, schema, sameAs, and corroboration stack we build here.
- Do knowledge panels still matter after Google's 2026 Knowledge Graph purge?
- More than before. Google deleted roughly 3 billion entities, about 6% of the Knowledge Graph, precisely because it now uses the graph as grounding data for AI Overviews and AI Mode. Weak, uncorroborated entities got culled; sourced ones survived and became more authoritative. The panel is alive and the bar to earn one went up, which is exactly why deliberate entity work pays.
- Can you guarantee a knowledge panel?
- No, and nobody honest can: rendering a panel is Google's call, not a form you submit. What we build is eligibility, and brands with verified Wikidata items are 3.2 times more likely to get one. If a vendor guarantees a panel for a flat fee, that's a red flag worth walking from.
- Do I need a Wikipedia page for entity SEO?
- No. Wikipedia helps when notability genuinely supports it, but entities routinely consolidate from Wikidata, schema, and corroborating citations alone. Wikidata has no notability threshold for verifiable entities, which makes it the more accessible path, and forcing a doomed Wikipedia page can hurt more than help.
- How long does entity optimization take?
- The build takes weeks; the corroboration takes months. Most brands see the graph consolidate inside 2 to 4 months, with knowledge panels rendering anywhere from 3 to 9 months in. Entity work on a new brand takes longest and pays longest: once machines agree on who you are, that agreement is hard for anyone to undo.
- Does entity SEO help visibility in ChatGPT and Perplexity?
- Directly. LLMs ground their answers in entity data: brands with clean graphs get named accurately and cited 2.7 times more often in AI Overviews, and the same record shapes how ChatGPT and Perplexity describe you. The knowledge panel is the visible proof; the graph behind it is what the answer engines actually read.
Keep exploring
Ready when you are
Find out how machines resolve your name today.
Free entity audit: how Google and the LLMs currently identify you, where the record contradicts itself, and the shortest path to an entity that's actually yours.
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