Competitor analysis in AEO is the practice of measuring which other brands appear inside AI answers for the queries that matter to a given brand, and reading the cited content to understand what is winning the citation. The unit of analysis is the answer, not the SERP.
Why competitor analysis is different in AEO
In classic SEO, competitor analysis means looking at who ranks above the brand on a SERP. The competitive set is whoever Google places nearby.
In AEO the competitive set is wider and shifts faster:
- Anyone the engine cites is a competitor for that answer, including publishers, encyclopedias, news outlets, and forums — not just brands selling the same thing.
- The competitive set varies per engine. Perplexity may cite different sources than Google Gemini for the same query.
- Citation can be earned by any cite-worthy passage, not just the page Google ranks first; see passage ranking.
What to capture per competitor
For each competitor that appears in the audit:
- Which queries cite them.
- Which engines cite them.
- Position in the source list.
- The specific page being cited (the URL, not just the domain).
- The cited passage — the exact text the engine quoted or paraphrased.
- Any structural patterns: schema, page format, page age, author, freshness signals.
- Any authority signals: Wikipedia, press, links from authoritative sources.
The cited passage is the single most informative piece of data. It tells the brand exactly what the engine wanted to find.
Reading the competitive landscape
Group competitors by category:
- Direct competitors — brands selling similar products to the same audience. The expected list.
- Adjacent competitors — brands one step removed. Often beat direct competitors on informational queries because they have stronger content.
- Publishers and encyclopedias — Wikipedia, industry publications, niche blogs. Often the dominant cited source for category queries.
- Forums and communities — Reddit, Stack Overflow, niche discussion sites. Increasingly cited for opinion-style queries.
A brand that appears only against direct competitors but is missing on every query where Wikipedia and trade publications dominate has a different gap from a brand that competes head-to-head with direct competitors but loses on long-tail.
Common patterns the analysis reveals
- The competitor’s cited page is structurally cleaner. Better headings, better first paragraph, better passages.
- The competitor has a topical depth the brand doesn’t. Five pages on the topic to the brand’s one.
- The competitor has stronger entity signals. A Wikipedia entry, more press, more authoritative inbound links.
- The competitor publishes more recent content. Updated within months while the brand’s page is years old.
- The competitor is cited because the brand is uncrawlable. Robots blocks, JavaScript rendering issues, or 4xx errors.
The first three are the slow work — content and authority. The last two are quick fixes.
Frequency
Competitor data should be a layer in the regular audit, not a separate exercise. Run it at the same cadence: quarterly full pass, with a smaller priority set tracked monthly.
Implementation example
AwesomeShoes Co. notices that assistant answers cite review publishers and forums more often than direct footwear competitors on category queries. The competitive analyst needs to understand exactly which passage structures and authority signals are winning.
Implementation discussion: the analyst captures cited competitor URLs and extracted passages by engine, the content lead maps structural gaps against AwesomeShoes pages, and the SEO lead prioritizes pages where retrievability issues block parity. This creates a competitor response plan grounded in evidence rather than assumptions.
