SERP analysis

A complete SERP analysis captures every surface Google renders for a target query:

• AI Overview (when present): the synthesized summary at the top of the SERP, with its cited source list.

• Top 10 organic results: titles, URLs, meta descriptions, and the dominant content format (definition page, listicle, comparison, tutorial).

• People Also Ask boxes: surface adjacent questions Google associates with the query.

• Featured snippets: the answer Google has lifted into a zero-click position.

• Knowledge panels: entity cards that signal Google's understanding of the brand or topic.

• Vertical results: video carousel, image pack, news, shopping, local pack — each tells you what content modality wins.

• Ads: paid surfaces and how many advertisers are bidding (a commercial-intent signal).

Cross-checking the same query in AI Mode and Perplexity adds the AI-search dimension — typically a different set of cited sources from the organic top 10.

Keyword research finds the queries worth pursuing. SERP analysis decides how to win them.

A keyword can have monthly search volume of 50,000 and still be impossible to rank for if the SERP is dominated by Wikipedia, brand-owned sites, and AI Overviews. SERP analysis is what tells you that — before you invest in writing.

In practice, the two are sequential: research the keyword universe, then SERP-analyze the highest- potential queries to filter out the unwinnable ones.

SERP analysis is the discipline that prevents writing content nobody can find. Three concrete payoffs:

1. Match the dominant content format. If the top 10 are all listicles, a deep definition page won't rank. If they're all definition pages, a listicle won't either.

2. Read AI Overview citations. The sources Google cites in an AI Overview reveal the model's authority hierarchy for the query. Earning a spot on that list is a higher-leverage win than ranking #6 organically.

3. Surface intent shifts. A query whose SERP shifts from definition pages to comparison pages signals the audience has moved from research to decision intent. Plan content updates accordingly.

Five-step SERP analysis workflow:

1. Capture the SERP. Run the query in an incognito window with a defined location. Save the full page including AI Overview and People Also Ask.

2. Classify the dominant content format. Listicle, definition, comparison, tutorial, or hybrid. Note average word count and on-page structure.

3. Extract AI Overview citations. List the domains Google cites in the AI Overview. Cross- reference against the organic top 10 — overlap is typically only 30–50%.

4. Run the same query in AI Mode and Perplexity. Compare cited sources. The intersection of all three surfaces is your authority benchmark for the query.

5. Map gaps to opportunities. A site cited in AI Overviews but not ranking organically (or vice versa) usually represents a fixable on-page gap — schema, atomic openings, or freshness.