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ES.ERIC STRATEAI SEARCH RESEARCH
Tuning phase

THE AI SEARCH RESULTS LAB FIELD NOTES / 001

When buyers ask AI,
who gets mentioned?

We ask real buyer questions. We save the answers. Then we examine where Eric Strate appears, which pages are cited, and what deserves work.

A prompt is simply the question you type into an AI assistant.

OBSERVETRACE THE EVIDENCEDECIDE WHAT TO TESTAn ongoing study. An open record.
NEW TO AI SEARCH?The 60-second guide to this pageOpen the guide

Follow the question.
Then follow the evidence.

This is a study of saved AI answers about hiring and comparing services. It helps us decide what to investigate. It does not tell us what every buyer sees.

What is an LLM?

LLM means large language model: the kind of AI system behind assistants such as ChatGPT. An assistant can generate an answer and, in some experiences, use web search. We keep the saved ChatGPT and ChatGPT Search results separate.

Mention or citation?

A mention means the answer names Eric Strate. A citation means the reported source list includes an EricStrate.com page. An answer can do one without the other. Neither is a guaranteed recommendation.

What does “unknown” mean?

Some saved records have missing or inconsistent source information. We cannot call them cited or uncited, so we show them separately and leave them out of the citation percentage.

01 / THE OBSERVATIONS

Less guesswork.
More evidence to work with.

Choose the AI experience and questions you want to inspect. Every figure below comes from saved answers in this study. Results can differ for other users, times, and tools.

Loading saved observations…

Study notes ↘

WHAT THESE NUMBERS SAY

Source data completeness

This measures usable data, not performance.

02 / THE RECORD OVER TIME

Does the pattern repeat?

Follow the trend, then open a date to see its actual answers.

Eric named in the answerEricStrate.com in the sources

FOLLOW THE SITE’S CONTENT

Pages the answers cite

Open an EricStrate.com page, or select a count to inspect the answers that listed it.

CONTEXT, WITHOUT ENDORSEMENT

Outside sources recorded

These are source addresses reported by the AI. Select a count to inspect the saved evidence.

External addresses are non-clickable references. Inclusion is not a recommendation or endorsement.

03 / FROM EVIDENCE TO ACTION

What deserves attention?

Behind the numbers: method & study boundaries

Where the data comes from: ZeroRank stored responses to a fixed set of questions. These are samples, not real buyer conversation logs or a promise of the same answer for every user. Tracking parameters are removed from displayed source URLs and URLs inside captured text.

What we count: a brand mention is an Eric Strate or EricStrate reference in captured text. It is not automatically a recommendation. A site citation is an EricStrate.com URL in the provider-reported source list. Source-list order is not brand rank. A source list does not identify which sentence or WARP block produced an answer.

How percentages work: matching unique answers divided by unique answers with usable data for that measure. Unknown or inconsistent source capture is excluded from the citation percentage and counted separately. Source bars count answers reporting that URL or domain, including partially captured lists; those bars are not restricted to the citation-rate denominator.

Fair comparisons: AI experiences stay separate. Topics describe the question, not the answering engine. Dates use America/Los_Angeles. Missing dates stay gaps. Historical imports and different run frequencies can affect the sample. The provider’s recent window is capped at 50 records per question.

External references: outside source addresses are plain text with no outbound hyperlink. They are records of reported citations, not endorsements. Links to EricStrate.com remain available for evidence review.

What the study cannot prove: changes can coincide with page edits, different retrieval sources, model changes, or normal answer variation. This observational study does not isolate a cause. Recommendations propose investigations; they do not automatically edit service pages.

Follow the question.
Keep the evidence. Learn in public.