Entity Optimization Beyond Schema

The question

GEO advice often repeats "improve entity clarity" without much evidence attached. I wanted to know whether that advice actually moves a measurable number, or whether it is a plausible-sounding idea that never gets tested.

How I tested it

I built 60 test pages in matched pairs: 30 topics, each with a control version and a variant with clearer entity disambiguation added (full names on first mention, explicit relationships between entities, consistent naming throughout). Both versions covered the same information otherwise.

I tracked citation rate for each version across ChatGPT, Perplexity, and Gemini over several weeks, using the same query set for both versions of each topic.

What I found

The entity-clarity variant got cited more often across all three engines, but the size of the effect varied a lot. Perplexity showed the clearest lift. Gemini showed a smaller, less consistent effect, and in a few topic pairs showed no measurable difference at all.

The biggest surprise: entity clarity alone, without a direct extractable answer near the top of the page, produced a much smaller lift than I expected going in. The two seem to work together rather than independently.

What this means in practice

Entity clarity is worth doing, but it's not a standalone lever. Pair it with a direct-answer structure rather than treating either one as sufficient on its own. For a related test on whether markup itself moves the needle independent of prose quality, see Does FAQPage Schema Actually Increase AI Citation Rate.

Where this could be wrong

60 pages across 30 topics is a small sample for a controlled test, and the entity-clarity variants were written by me, which introduces some risk that the variant is simply better written, not just clearer on entities. A larger test with independent writers would strengthen this.

References

1. Internal A/B content test, 60 pages. 30 matched topic pairs, June 2026.