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Geo Checker

Geo Checker — Free GEO Checker — score any content against 17 signals to see if ChatGPT, Google AI Overviews, and Perplexity will actually cite it. No signup, no API key.

About Geo Checker

GEO & AEO: How to Get Your Content Cited by AI Answer Engines

Generative Engine Optimization (GEO) is the practice of structuring content so AI engines like ChatGPT, Google AI Overviews, and Perplexity cite it in their answers. As search shifts from ranked links to generated answers, being the source an AI quotes is becoming more valuable than ranking tenth on a results page.

What GEO actually optimizes for

Traditional SEO optimizes for a position in a list. GEO optimizes for a sentence inside an answer. When someone asks an AI engine a question, the model generates a single response and, increasingly, cites the sources it drew from. GEO is the work of making your content one of those sources.

This changes what matters. A page can rank poorly in classic search yet still be quoted heavily by AI if its individual passages are clear, self-contained, and trustworthy. Conversely, a page can rank well yet never get cited because its answers are buried under long preambles and vague phrasing.

The signals AI engines reward

Across ChatGPT, Google AI Overviews, Perplexity, and Gemini, the same patterns keep surfacing in cited content. The tool above scores your text against these directly, but here is what each one means and why it matters:

01

Direct answers first

Open each section with a one to two sentence answer before you elaborate. Engines lift this opening almost verbatim.

02

Question-style headings

Headings phrased as real questions map cleanly to the queries users type into AI engines.

03

Lists and tables

Structured formats are far easier for a model to parse into a clean, quotable answer than dense prose.

04

Named entities

Specific products, brands, versions, and people let a model connect your content to things it already knows.

05

Verifiable facts and sources

Concrete numbers, dates, and cited sources make a claim safe for an engine to repeat.

06

First-hand experience

Signals like "I tested" or "after three months of use" are the one thing an AI cannot fabricate — and increasingly the thing it prefers.

07

Freshness

References to the current year and recent updates push time-sensitive content ahead of stale alternatives.

08

Scannable structure

Short paragraphs and clear sections give engines clean extraction points instead of walls of text.

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Website performance

Recorded mobile lab measurements and finalized weekly standings from IndieTools Speed.

67GoodMobile Lighthouse

Measured · UTC

Load time
1.33 s
FCP
2.27 s
LCP
6.02 s
CLS
0.049
TTFB
1 ms
TBT
321 ms
Speed index
3.37 s

These stored lab observations describe controlled test runs. They are not real-user Core Web Vitals or a guarantee of search rankings. Weekly standings below remain attached to their finalized edition.

Overall rank · 2026-W42
#696
Down 76 places
Best overall rank
#614
0 top 10 finishes
Best category rank
#143
0 category wins
Latest change
+4 score
Best score 72 / 100

Method: psi-mobile-two-sample-mean-v1 · 2 samples per reading. Only readings with the same recorded method and sample count share a chart. Lab results can vary between runs.

Website performance history

Inspect every successful mobile Lighthouse lab measurement by metric and date range.

Range

Latest score

67 / 100

Higher is better
9 measurements

Use the left and right arrow keys to inspect measurements. Use Home or End to jump to the first or last measurement. Press Escape to dismiss the chart tooltip.

Oct 15, 2026Oct 22, 2026

Weekly rank history

Track the product's finalized overall position on the IndieTools Speed leaderboard.

Range

MetricOverall rank

Latest rank

#696

Closer to #1 is better
2 weeks

Use the left and right arrow keys to inspect weeks. Use Home or End to jump to the first or last week. Press Escape to dismiss the chart tooltip.

Oct 5, 2026Oct 12, 2026

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