Why doesn’t optimizing for Google get a firm cited by ChatGPT?
Because the engines aren’t reading the same web. A firm can win Google’s AI Overview on a query and be completely absent from the ChatGPT or Perplexity answer to the same question, because each system pulls from its own set of sources and rewards its own signals.
The scale of that gap is measurable. A Search Engine Land analysis of 8,090 keywords across 25 verticals and 22,410 unique domains found that Google’s AI Overviews and standalone LLM chatbot answers cited the same domain for the same query only 7.2% of the time.
So a firm optimizing only for Google is building for one of at least three places its buyers now ask, ChatGPT, Perplexity, and AI Overviews, and leaving the other two to whoever showed up. Answer engine optimization, AEO, is the work of showing up on all of them. It shares the same foundation across engines, but the payoff is engine-by-engine, not one and done.
How does a law firm get cited by ChatGPT?
ChatGPT leans heavily on established web consensus, what the wider web already agrees is true about a firm, and, when it browses, on live pages it can read and quote in the moment. Both reward the same two things. First, a firm that reads as one clear, consistent entity across its own site, directories, bar profiles, and press, so the model can confirm who it’s citing. Second, original material worth quoting: the firm’s own dated findings, a specific answer to a specific question, written so the answer sits in the first line under the heading. A firm that only restates the same five articles everyone else wrote gives ChatGPT no reason to name it over the original.
How does a law firm get cited by Perplexity?
Perplexity is the most explicitly source-first of the three, it shows its citations right in the answer and pulls live, current pages to build it. That makes two levers matter more here than anywhere else. Freshness, because Perplexity is reaching for what’s current, so a stale page can drop out of the set it even considers. And a clean, liftable answer, because Perplexity is looking for the sentence it can quote and attribute. A page that buries its answer ten paragraphs down, or hides its sources in a footnote block, hands the citation to a competitor that put the answer up front.
How does a law firm get cited in Google’s AI Overviews?
Of the three, AI Overviews stay closest to classic search: the same crawlability, content quality, and authority signals that drive a Google ranking still drive the Overview, with entity clarity and a direct on-page answer layered on top. That’s the good news, a firm’s existing SEO work isn’t wasted here. The catch is the 78% trigger rate on legal queries: the Overview is already the first answer most legal searchers see, so being absent from it is the most expensive gap of the three. Our full citation study measured who actually wins that legal answer today, and it’s the firms building their own sites to be cited, not the ones waiting to be found.
Does a citation mean the AI is recommending the firm?
No, and this is the trap that turns a scoreboard into a vanity number. A citation means the engine used the source. It does not mean the engine endorsed the firm. An answer can cite a firm’s page while the sentence around it stays neutral, or even while it names a competitor as the better pick. So a real measurement never stops at the count. It reads the position of each citation, whether the firm is the answer or the ninth footnote, and the sentiment around it, whether the mention actually helps. A raw appearance count treated as a win is exactly how AI visibility gets misread.
The per-engine play, in one table
The foundation is shared: one consistent entity, original findings, an answer up front. What shifts is which lever carries the most weight on each engine.
| Engine | What it leans on most | The lever that moves it |
|---|---|---|
| ChatGPT | Established web consensus, live pages when browsing | Consistent entity plus original, quotable findings |
| Perplexity | Live, current sources shown as citations | Freshness and a clean answer in the first line |
| Google AI Overviews | Classic search signals plus entity clarity | Strong SEO base plus a direct on-page answer |
None of it is a separate site or a trick per engine. It’s one citable foundation, measured and tuned per engine instead of chased as a single number. For the ordered build behind it, see the GEO playbook for law firms, and to see what each engine says about a specific firm today, the AI-visibility build is the audit that reads it market by market.
References
- Search Engine Land. "How AI media partnerships influence your brand visibility in genAI: Research." Fractl analysis, October 20, 2025.
- Taqtics legal desk. "Who AI Cites When Someone Asks How to Hire a Law Firm." n=236 sampled citations, law-firm-hiring question set. Updated Jul 6, 2026.
- SE Ranking. "AI Overviews Industry Analysis: Legal Queries Trigger Rate." 2026.