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Weekly checks on ChatGPT, Perplexity and Gemini

Know what to change for search and AI answers, and see whether it worked.

CiteSonar turns your Search Console, analytics and AI-answer checks into a ranked list of changes, each with its receipts. You apply the change; we check it went live and measure what moved.

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  • CiteSonar never writes to your site.
  • Figures show their source and how fresh they are.
  • Metered actions show their price before you click.
  • Outcomes read improved, flat, declined, confounded, or not enough data yet.

CITATION RECEIPT Example data

PROMPT

light roast vs dark roast caffeine

ENGINE
Gemini
CHECKED
14 Sep 2026 06:00 UTC
SITE
larkspur-roasters.example
VERDICT

CITED 14 SEP 2026

ANSWER EXCERPT

By weight the difference is small; a guide from Larkspur Coffee Roasters explains that dark roasts lose a little mass, so a scoop holds slightly less caffeine CITED [3] larkspur-roasters.example

SOURCE CITED

larkspur-roasters.example/guides/roast-levels

LAST 8 WEEKS

REF LRK-0914-GEM KEPT ON FILE

One loop, in three verbs.

Each step below is the product screen with example data loaded: what the answers say, what to change, and what moved after you changed it.

Prompts, latest runExample data

Prompt ChatGPTPerplexityGemini Cited
coffee subscription roasted to order 1/3
light roast vs dark roast caffeine 3/3
coffee brewing guides 3/3
how fresh should coffee beans be 1/3
best decaf for pour over 0/3
single origin vs blend for espresso 2/3

10 of 18 answers cite you

See it.Which answers cite you, prompt by prompt.

Add the prompts your customers ask. Every week CiteSonar checks them on ChatGPT, Perplexity and Gemini and keeps the receipt.

Ranked changesExample data

  1. Open approved AI crawler access/ robots.txt change
    Draft ready
  2. Add the missing structured data/shop/ethiopia-guji Structured data
    Draft ready
  3. Get quoted for a query you already rank for/guides/pour-over Content brief
    Draft ready

Change it.What to fix first, and why.

Get a ranked list of changes for your own pages. Each comes with its receipts and a draft you apply yourself. CiteSonar never writes to your site.

/guides shipped 20 AugExample data

Live check passed 20 Aug 2026 19:21 UTC

Measure Before After
Answers citing the pagecoffee brewing guides 1/12 6/12
Click-through rate 1.8% 2.9%
Clicks 212 301
  • improved
  • flat
  • declined
  • confounded
  • not enough data yet

Check it.Did it move?

Once you ship, CiteSonar checks the change went live, then reads clicks, visits and citations against the weeks before. Outcomes read improved, flat, declined, confounded, or not enough data yet.

Every prompt, every engine.

One run for the example workspace, each answer filed with a receipt.

36 of 36 answers checked

18 cite larkspur-roasters.example

14 Sep 2026 06:00 UTC Example data

Prompt ChatGPTPerplexityGemini Cited
coffee subscription roasted to order 1/3
light roast vs dark roast caffeine 3/3
coffee brewing guides 3/3
how fresh should coffee beans be 1/3
best decaf for pour over 0/3
single origin vs blend for espresso 2/3
ethiopian coffee tasting notes 2/3
burr grinder setting for v60 1/3
coffee to water ratio for french press 1/3
best beans for cold brew 2/3
how to store coffee beans 1/3
gift coffee subscription 1/3
Cited in this run 5/127/126/12 18/36

CitedNot citedExample data

A new receipt every week.

Each check is filed with what it saw. Lay eight weeks side by side and you can point to the week the answer started naming you.

The prompt
Word for word, as your customers ask it.
The engine
ChatGPT, Perplexity or Gemini.
The date
When the check ran, to the minute.
The excerpt
The words of the answer, kept as returned.
The source
The URL it cited, yours or another site's.
The verdict
Cited or not cited, filed next to last week's.

light roast vs dark roast caffeine Gemini Example data

  1. 27 Jul 2026 06:00 UTC Gemini Not cited

    Caffeine content varies little by roast level; brewcrafthub.example compares scoop and weight measures

    Source used instead brewcrafthub.example/guides/roast-caffeine

  2. 03 Aug 2026 06:00 UTC Gemini Not cited

    Dark roasts are not stronger in caffeine; beanatlas.example has a roast-by-roast breakdown

    Source used instead beanatlas.example/roast-levels

  3. 10 Aug 2026 06:00 UTC Gemini Cited

    Light roasts hold slightly more caffeine by weight; Larkspur Coffee Roasters has a guide that compares the two

    Source cited larkspur-roasters.example/guides/roast-levels

  4. 17 Aug 2026 06:00 UTC Gemini Cited

    Measured by the scoop the gap narrows; Larkspur Coffee Roasters explains why in its roast-levels guide

    Source cited larkspur-roasters.example/guides/roast-levels

  5. 24 Aug 2026 06:00 UTC Gemini Cited

    A guide from Larkspur Coffee Roasters says light and dark roasts differ only slightly in caffeine

    Source cited larkspur-roasters.example/guides/roast-levels

  6. 31 Aug 2026 06:00 UTC Gemini Not cited

    Most guides agree the difference is small; roastclub.example collects the numbers in one table

    Source used instead roastclub.example/guides/caffeine-by-roast

  7. 07 Sep 2026 06:00 UTC Gemini Cited

    Dark roasts lose a little mass in the roaster; Larkspur Coffee Roasters notes a scoop of dark roast holds slightly less caffeine

    Source cited larkspur-roasters.example/guides/roast-levels

  8. 14 Sep 2026 06:00 UTC Gemini Cited

    By weight the difference is small; a guide from Larkspur Coffee Roasters explains that dark roasts lose a little mass, so a scoop holds slightly less caffeine

    Source cited larkspur-roasters.example/guides/roast-levels

Your Google data, read-only

When you connect a site, CiteSonar asks Google for read-only access to that site's Google Search Console and Google Analytics data. We use it only to show your search and traffic figures, rank the changes worth making, and measure whether a change you made moved clicks and visits. We never change anything in your Google account, never sell the data or use it for advertising, and never use it to train AI models. You can disconnect at any time.

How we handle Google user data →

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