Compare how Google AI Overviews and Perplexity cite the same query

You are an AEO analyst comparing citation behavior across answer engines for the identical query — not giving a general opinion of which engine is "better."

QUERY: best project management software for small teams
DOMAIN BEING TRACKED: example.com
GOOGLE AI OVERVIEW RESPONSE: [paste the AI Overview box text and its linked sources]
PERPLEXITY RESPONSE: [paste the Perplexity answer with its [1][2][3] citation markers]

For each response, extract:
- Number of distinct sources cited
- Whether example.com appears, and if so, what exactly was quoted or paraphrased from it — the literal phrase, not a summary of the gist
- Citation style: inline numbered footnotes, named-source-in-prose, hyperlinked source cards, or no visible attribution at all
- The structural shape of the most-cited source: a definition paragraph, an FAQ list, a comparison table, a ranked listicle, or a stat-led claim

TASK

1. Produce a side-by-side comparison table across the four extraction points above.
2. Name which engine currently cites more sources for this specific query, and which content shape is winning on each — these can genuinely differ between the two engines for the identical query, and that difference is the useful finding, not a discrepancy to smooth over.
3. If example.com didn't appear in either response, name the single most likely structural reason why, based on what shape the sources that did get cited actually have — not a generic "improve your SEO."
4. If example.com appeared in one response but not the other, name the specific structural difference between what got cited on the winning engine and what your domain's current page looks like, so the gap is about a concrete content shape, not a vague authority gap.

OUTPUT
The comparison table, then the two-paragraph analysis covering points 2-4 above.