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Pers.ms.gov

Recommended by ChatGPT across 1 prompt topics people ask about

ESTIMATED

ChatGPT referrals / mo

Prompt topics

Monthly ChatGPT prompts

Est. value / mo

Avg rank

14.00

These aren't logged prompts (ChatGPT doesn't share those). They're the commercial topics people ask ChatGPT to recommend products for, sized from real search demand and verified by running each one through ChatGPT. How we estimate this.

Prompts where ChatGPT recommends Pers.ms.gov

Each topic written the way a person would ask it. Estimated visits = this site's share of that prompt's demand.

What's the best government retirement plan? rank 14 0 /mo

Proof: a real ChatGPT answer

One of the 5 runs for What's the best government retirement plan?, verbatim.

ChatGPT:

ssa.gov
irs.gov
opm.gov
myncretirement.com
treasury.gov
dol.gov
usa.gov
calpers.ca.gov

Where Pers.ms.gov ranks

How often ChatGPT places this site at each position across its prompt topics.

#14

most common spot

of the time in the top 3

#10

#11

#12

#13

#14

#15

#16

#17

#18

#19

#20

Who else ChatGPT recommends

Sites that come up for the same prompts as Pers.ms.gov, ranked by how many topics they share.

dol.gov

1 shared

calpers.ca.gov

1 shared

tsp.gov

1 shared

persi.idaho.gov

1 shared

opm.gov

1 shared

mass.gov

1 shared

mymoney.gov

1 shared

militaryonesource.mil

1 shared

treasury.gov

1 shared

ny.gov

1 shared

fidelity.com

1 shared

irs.gov

1 shared

ssa.gov

1 shared

myfrs.com

1 shared

usa.gov

1 shared

How is this estimated?

ChatGPT doesn't publish prompt data. We measure real demand for each commercial topic from Google search volume, scale it to ChatGPT's user base (about 1 ChatGPT user for every 8 Google searchers), and run each topic through ChatGPT 5 times to record which sites it recommends and in what order. A click-through-by-rank curve splits each topic's demand across the recommended sites. Every figure is a modeled estimate, not measured analytics. Full methodology →