Is “People Also Ask” still worth targeting? Not in its old form. The PAA box that used to quote a tidy FAQ answer is now almost entirely AI-generated, and most of those answers don’t link back to a source page at all. The real target now is getting named as the source inside an AI Overview — a different, harder bar GrowthAgents calls Citation Share.
What Happened To People Also Ask?
For years, PAA was the realistic entry point for small firms. Write a clean, specific FAQ answer, format it well, and Google’s algorithm might quote it directly in the expandable box under a search result. No huge domain authority required. Just a well-structured answer to a real question.
That mechanism has largely been replaced. PAA questions still appear, but the answers underneath them are increasingly generated by Google’s AI rather than pulled and quoted from a specific page.
By August 2026, that number had jumped to 86%. Separate data from Saeed Khosravi’s Also Ask Miner shows PAA became fully AI-generated starting that same month. One week into September 2026, the figure hit 97%.
Google’s own October 2026 webmaster report, published October 1, confirmed what the third-party data was already showing: PAA answers are now “almost 100%” AI Overviews.
Why Does This Matter For Small Firms?
PAA used to be a lower-competition lane. A firm without a big content team could still win a question box by answering one question clearly. That lane hasn’t closed — it’s changed shape.
An AI Overview doesn’t quote a page the way the old PAA box did. It synthesizes an answer and sometimes credits a source, sometimes several, sometimes none. Getting credited now depends on whether your page reads as the most specific, well-structured answer available — not whether it’s formatted for a snippet box that barely functions the old way anymore.
What’s The New Win Condition?
Call it Citation Share: the rate at which your firm’s pages get named as a source when an AI model answers a question in your practice area. It’s a harder bar than old PAA, because it rewards precision and authority over formatting tricks.
Three things tend to separate pages that earn citations from pages that don’t:
A direct, specific answer in the first sentence or two — no throat-clearing before the substance.
Structured, scannable content: clear questions as headings, concise answers underneath.
Enough specificity (jurisdiction, process step, timeline) that the answer can’t be mistaken for a generic restatement of the question.
How Do You Write For Citation Share Instead Of PAA?
Keep writing FAQ-style content. Don’t keep judging it by the old standard. Before publishing, ask whether an AI model summarizing your practice area would plausibly pick your page as the source — not whether it fits a snippet box that increasingly doesn’t exist in its old form.
Is PAA completely gone?
The questions still show up. What’s gone is the old mechanism where a quoted answer from a specific page filled the box. That answer is now almost always AI-generated.
Should firms stop writing FAQ content?
No. FAQ content is still the right format for the questions clients actually ask. The bar for what counts as a winning answer has moved — write for citation, not for a snippet box.
How would a firm know if this is working?
Watch search-console metrics for your FAQ and practice-area pages — impressions, clicks, and ranking position for the questions you’re answering. That’s the evidence available to track.
Is this legal advice?
No, this is informational commentary, not legal advice.
Curious whether your firm’s FAQ pages are built to earn citations under the new rules? Run a free check at GrowthAgents SiteScan and see where your site stands.
By Josh Corbelli, Founder, GrowthAgents AI. Published and last reviewed October 16, 2026.
Answer engine optimization (AEO) is the work of making your firm’s pages easy for ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Claude and Copilot to find, quote and cite. The checklist below has 36 items in 8 groups. Law-firm AI referrals are still small today, near 0.5% of sessions[5], but they are growing fast, and the firms cited now are the firms prospects are shown next.
The uncomfortable fact first: AI assistants send a small share of today’s visits. Three independent datasets put it between 0.17% and 1.08% of site traffic.
Conductor measured 1.08% of sessions from AI referrals across 1,215 enterprise domains and 3.3 billion sessions, May through September 2025[1].
Ahrefs measured 0.17% of visitors on average across 3,000 sites, and 0.56% on sites with fewer than 999 monthly visitors, the size of most small firms (data published February 6, 2025)[2].
Great Jakes, as reported by LawFuel, found AI at 0.47% of sessions on law-firm sites, with 220% growth. The sample size and year were not stated[5].
The case for acting now rests on four numbers, not on current volume.
Growth. Previsible tracked LLM sessions across 166 GA4 properties from 65,249 per month (November 2024) to 644,478 per month (May 2026), a 9.9x increase[3].
Shrinking clicks on the old results. In Pew Research’s March 2025 browsing data, 8% of Google visits with an AI summary produced a click on a traditional result, against 15% without one. Only 1% clicked a link inside the summary[4]. SparkToro and Similarweb put US zero-click Google searches at 68.01% for January through April 2026, up from 60.45% in 2024[6].
Legal queries are exposed. 23.6% of legal queries trigger an AI Overview, and 57.9% of question-style legal queries do (5W Legal AI Visibility Index, April 2026)[7].
Prospects say they will ask AI. In an iLawyerMarketing survey of 1,110 people, 41.9% said they would use ChatGPT to research a lawyer, up from 28.1% in 2025, and 50.1% named any AI engine. This is stated preference, not observed behavior[8].
Visitors who arrive from AI may convert at higher rates, but the evidence is thin. Seer Interactive saw ChatGPT visitors convert at 15.9% against 1.76% for Google organic on one unnamed client site (October 2024 to April 2025). That is one site, and not a law firm[9]. Ahrefs reported AI visitors at 0.5% of its own traffic and 12.1% of its signups[10]. Treat both as directional.
Measurement caveat. Google counts AI Overview and AI Mode clicks inside the “Web” search type in Search Console, so they look like ordinary organic traffic[11]. GA4 can also file ChatGPT visits as “Direct”. Your real AI exposure is larger than the referral report shows.
2. How AI engines choose which firm to cite
An AI engine does not answer your prospect’s question once. It splits it into many sub-queries and cites pages that answer the pieces. iPullRank calls this query fan-out and describes a single prompt expanding into 15 to 20 sub-queries[12]. The example below is illustrative. It was built from that concept and is not measured output from any engine.
Seed query: “best car accident lawyer in Phoenix.” A fan-out could include:
Intent
Possible sub-query
Page that must answer it
Cost
Phoenix car accident lawyer contingency fee percentage
Fees and payment page
Cost
How much does a car accident lawyer cost in Arizona
Fees and payment page
Process
What to do after a car accident in Phoenix
After-an-accident guide
Timeline
How long does a car accident case take in Arizona
Case timeline page
Law
Arizona statute of limitations for car accidents
Deadline page with statute citation
Law
Arizona pure comparative fault car accident
Fault explainer with statute citation
Insurance
Phoenix lawyer for uninsured motorist claims
Uninsured motorist page
Edge case
Rideshare (Uber, Lyft) or truck accident lawyer, Phoenix
One page per claim type
Geography
Car accident lawyer Scottsdale, Mesa or Tempe
Service-area pages with real local content
Language
Spanish-speaking car accident lawyer Phoenix
Language-access section on the firm page
Validation
[Firm name] reviews, Avvo, bar discipline
Reviews, attorney bio, bar numbers
Do not answer a fan-out with 200 near-duplicate pages. Google’s July 10, 2026 guide says mass-producing pages for query variations or fan-out queries violates its scaled content abuse policy[13]. Build one strong page per distinct intent.
3. The 36-item checklist
Each item names what to do and where it belongs. Items marked (Google) come from Google’s published guidance. Items marked (third party) come from iPullRank, Microsoft or the AI vendors’ crawler documentation and are not Google policy.
Group A. Access: can AI systems reach the page? (6 items)
☐ A1. Confirm robots.txt allows Googlebot, and that your CDN or host firewall does too[11](Google).
☐ A2. Allow OAI-SearchBot, the crawler behind ChatGPT search results. Blocking it removes you from ChatGPT search answers[14](third party).
☐ A3. Allow Claude-SearchBot and Claude-User. Blocking them can reduce visibility in Claude’s user-directed search[15](third party).
☐ A4. Allow PerplexityBot and allowlist its published IP list in your firewall[16](third party).
☐ A5. Decide GPTBot and ClaudeBot (model training) separately from search crawlers. OpenAI documents that the two settings are independent[14].
☐ A6. Confirm every key page is indexed, snippet-eligible, and carries no stray nosnippet or noindex tag[11](Google).
Group B. Structure: can a passage stand alone? (6 items)
☐ B1. Open every page and every H2 section with a direct answer of one to three sentences, then support it[17](third party).
☐ B2. Write each paragraph around one concept so it still makes sense when lifted out of the page[12](third party).
☐ B3. Use headings shaped like the query a client would type, such as “How much does a car accident lawyer cost in Arizona”.
☐ B4. Make each heading describe the text under it. Do not use cute or vague headings.
☐ B5. Put fees, timelines and eligibility in tables or lists, in HTML text, never inside images, PDFs, tabs or accordions[18](third party).
☐ B6. Keep headings and paragraphs clean and semantic. Google says perfect code is not required[13](Google).
Group C. Content: is it worth citing? (6 items)
☐ C1. Add first-hand detail only your firm has: case types handled, local court practices, intake process. Google calls this “non-commodity” content[13](Google).
☐ C2. Replace vague quantifiers (“most clients”, “many cases”) with numbers and dates.
☐ C3. Cite the statute, rule or court by name and link to the primary source, on every legal claim.
☐ C4. Publish original data from your own practice, such as timelines you can substantiate, in aggregate and without client identifiers.
☐ C5. Quote an attorney in the body of each guide, with name, bar admission and a link to the bio[19](third party).
☐ C6. Add a visible full date (“Last reviewed October 16, 2026”) in the body, not only in page metadata[12](third party).
Group D. Entities and trust (4 items)
☐ D1. Name entities precisely: “Maricopa County personal-injury attorney”, not “attorney”[17](third party).
☐ D2. Give each attorney a bio page with bar number, admissions, education and a headshot. Show the author’s background on each guide[20](Google).
☐ D3. Keep your firm name, address and phone identical on your site, Google Business Profile and directories[21](third party).
☐ D4. Check every claim, superlative and testimonial against your state bar’s advertising rules. ABA Model Rule 7.1 bars false or misleading communications, and states vary[22].
Group E. Structured data (5 items)
☐ E1. Add LegalService JSON-LD with areaServed, address, telephone and openingHours. schema.org marks Attorney as deprecated in favor of LegalService[23].
☐ E2. Add Person markup for each attorney, linked to the firm with worksFor and to profiles with sameAs.
☐ E3. Add Article markup with author, datePublished and dateModified to every guide.
☐ E4. Make every marked-up fact match visible page text, and validate in Google’s Rich Results Test[11](Google).
☐ E5. Treat FAQ markup as optional. Google stopped showing FAQ rich results on May 7, 2026. The markup stays valid, but Google Search value is none[24].
Group F. Local and reviews (3 items)
☐ F1. Keep your Google Business Profile complete and current: categories, services, hours, photos[13](Google).
☐ F2. Build one service-area page per city with real local content, not swapped city names[21].
☐ F3. Respond to every review, within bar-rule limits on confidentiality.
Group G. Linking (2 items)
☐ G1. Link each guide to its related practice-area, attorney and fee pages with descriptive anchor text, never “click here”[17](third party).
☐ G2. Link out to primary sources (statutes, courts, bar rules) so each claim can be checked.
Group H. Measurement and maintenance (4 items)
☐ H1. Verify the site in Search Console and review the Generative AI performance report[13](Google).
☐ H2. In GA4, build a channel group for chatgpt.com, perplexity.ai, claude.ai, gemini.google.com and copilot.microsoft.com referrers.
☐ H3. Test 20 fixed prompts monthly in each engine and log whether your firm is cited, quoted or absent.
☐ H4. Re-review every guide every 90 days and update the visible date only when the content changes.
4. What Google says you do not need
Several popular AEO tactics are not required by Google. Google’s July 10, 2026 guide says you do not need new machine-readable files, such as an llms.txt file, and that there is no requirement to break content into tiny pieces or to write in a special way for generative AI search. It also says structured data is not required for generative AI features[13].
We still apply the structure and schema items above. They are third-party practice (iPullRank, Microsoft) and low-cost, and ChatGPT, Claude and Perplexity are not Google. They are hypotheses with supporting guidance, not guarantees. No one, including us, can promise a citation.
5. Why the checklist is harder than it looks
Each item is simple. Doing all 36, correctly, on every page, and keeping them correct, is the hard part.
Crawler access sits in four places: robots.txt, your CDN, your host’s firewall and your security plugin. A single misconfigured layer blocks an AI crawler while every audit tool reports a pass.
Schema must match the page text exactly. A changed phone number or a retired attorney breaks the match across LegalService, Person and Article markup, your Google Business Profile and every directory.
Fan-out coverage is a research job. You need the 15 to 20 sub-queries behind each practice area, then one page per distinct intent, written without creating the duplicate pages Google penalizes.
Legal accuracy is non-negotiable. Statutes change and bar advertising rules differ by state. Every page needs an attorney review.
Measurement is unreliable by default. AI visits hide in Direct traffic and in Google’s Web totals, so you need your own prompt-testing log.
The engines disagree. ChatGPT’s share of AI referrals ranges from 75.96% to 95.1% depending on the panel and month[3], so a tactic validated in one engine is not validated in the rest.
A small firm with 1 to 25 attorneys has no one whose job this is. That gap is where we work.
6. How GrowthAgents and Agency 310 implement it
GrowthAgents AI scores your pages against our AEO rubric, and Agency 310, its exclusive agency implementation partner, does the implementation for you.
Score first. The free GrowthAgents SiteScan grades your site across 5 pages and shows a before-and-after AEO score on one rewritten page.
Implement with Agency 310.Agency 310 builds and delivers cost-effective AI solutions for law firms to manage and grow their practices. The team brings 40+ years of combined small-law-firm business growth experience, AI implementation, custom AI app development, and CRM automation and integration for Clio, HubSpot, Lawmatics and other systems.
Scope. Fan-out query research and revision, schema review and updates, Google Business Profile optimization with local content, crawler-access fixes, and page rewrites against the rubric.
“Most firms fail the checklist at the boring layers: a blocked crawler, a stale phone number in the markup, a guide with no date. We find those first.”Josh Corbelli, Founder, GrowthAgents AI.
AEO is the practice of structuring your site so AI assistants and AI search features can find, quote and cite your firm’s pages when prospects ask legal questions.
Is AEO different from SEO?
The base is the same. Google says pages must be indexed and snippet-eligible to appear in AI features, and that there are no additional technical requirements for Google’s AI Overviews[11]. AEO adds passage-level structure, query fan-out coverage and access for non-Google crawlers.
Do I need an llms.txt file?
Google says no. Other engines have not published support for it, so treat it as optional and low-cost.
How do I know if ChatGPT is sending visitors?
Create a GA4 channel group for AI referrer domains and run a monthly prompt test. Some visits arrive without a referrer and show up as Direct, so the GA4 count is a floor.
Should I use FAQ schema?
It is optional. Google stopped showing FAQ rich results on May 7, 2026. Visible Q&A sections still help readers and may help other engines.
How long does it take?
Crawler and schema fixes can be completed within days. Citation changes depend on how often each engine re-crawls, and no vendor can promise a date.
No, ChatGPT is not the only assistant worth tracking anymore, and treating it that way now means missing nearly half the picture. New industry data shows ChatGPT’s share of AI prompt volume has been cut from dominant to roughly even with the rest of the field in just six months. Claude and Gemini picked up almost all of the difference.
Is ChatGPT Still the Only AI Assistant That Matters?
It’s still the biggest single assistant. It’s no longer the only one that counts. Comscore’s Q2 2026 AI Intelligence Report found ChatGPT’s share of total AI prompt volume fell from 70% to 50% between January and June 2026. That’s still real traffic — ChatGPT reached 168 million desktop conversations in June 2026 — but it’s half the share it held at the start of the year.
Why Does This Matter for a Law Firm’s Client Research?
Because the person typing “best [practice area] attorney near me” into an AI assistant doesn’t check which one leads the market first. They ask whichever one is already open on their phone or laptop. If your firm’s AI-visibility work only checks whether ChatGPT names you, you have no idea what the Claude answer says, or the Gemini answer — and those two now account for roughly four in ten prompts, by share of volume.
That gap doesn’t show up gradually, either. A firm can look fine on one engine and be invisible on another in the same week, simply because each assistant draws on different sources and weighs them differently. Checking only one tells you nothing about the other two.
We call this metric Citation Share: the percentage of AI-assistant answers in your market that name your firm. A Citation Share measured on ChatGPT alone was already a partial view. This data makes the gap bigger, not smaller.
No. The data points to people adding assistants, not abandoning ChatGPT. Its raw conversation volume is still large. Its share of total volume is smaller because the total pool of AI usage, and the number of tools splitting it, both grew.
Should We Stop Tracking ChatGPT?
No. It’s still the single largest assistant by volume. The point is to stop tracking it alone. A firm that only measures ChatGPT visibility is measuring a shrinking fraction of where its prospective clients are actually asking questions.
Is This Legal Advice?
No. This post is informational commentary on third-party industry data about AI assistant usage. It is not legal advice, and nothing here should be read as guidance on your firm’s specific marketing, advertising, or compliance obligations. Talk to your own counsel about those.
How Do We Find Out Where Our Firm Stands Right Now?
Start by checking where your firm’s own site and visibility currently stand. Run a free SiteScan to see what it finds.
Google’s AI Mode now includes 82 percent fewer source links than it did three weeks earlier, according to a study Evertune published on September 23, 2026. The drop started before Google’s own explanation for it did. For a small law firm, the lesson isn’t to chase fewer links harder, it’s to stop counting on links at all.
Where do the surviving links actually send people?
Here’s the part that matters more than the headline number. Of the few sources AI Mode still shows, 3.5 out of 3.8 are google.com/goto redirect links, not direct links to the original site. Even when a firm gets cited, the click doesn’t go straight to the firm’s website. It goes to Google first.
Is Google’s bug explanation the real story?
Google has publicly attributed the citation drop to a Gemini 3.8 Flash model bug. Evertune’s own timeline raises a fair question about that. The decline started in mid-August, three weeks before the bug explanation surfaced, and it lines up almost exactly with Google’s late-August rollout of goto redirect wrappers around search result links. A bug is possible. So is a redesign that quietly reduced outbound links and got a convenient explanation after the fact. We’d want more transparency before taking Google’s account at face value.
How does AI Mode compare to Gemini and AI Overviews?
The severity is specific to AI Mode. Over the same three weeks, Gemini’s citation count fell about 30 percent, and Google’s AI Overviews fell about 15 percent. Both declined. Neither came close to AI Mode’s 82 percent collapse. If this were purely a model bug, you’d expect a more uniform drop across Google’s own AI products. The gap suggests AI Mode’s product changes, not a shared model issue, are doing most of the work.
What should a small law firm take from this?
Evertune’s own recommendation is the useful part here: stop counting outbound links from AI answers, and start tracking whether your firm gets named inside the answer text itself. A link was never a guaranteed click. Now it’s a shrinking, Google-controlled funnel that mostly routes through Google’s own redirect anyway. Being named directly in an AI’s answer doesn’t depend on whether Google decides to show a link that day.
Track citation and mention rates over time, not a single snapshot.
Make sure AI crawlers can actually access and read your site’s content.
Prioritize being recommended and named by the AI’s own words over counting outbound clicks.
This is exactly why we talk about Citation Share: how often AI assistants name a firm by name in their answers, not how many links trickle through to a website. If AI Mode’s own link count can fall 82 percent in three weeks, any strategy built on counting those links was never stable ground to build on.
FAQ
What is Citation Share?
Citation Share is the percentage of AI-assistant answers in a firm’s market that name the firm directly, with or without a clickable link attached.
Does this affect my firm’s Google rankings?
Evertune’s study covers AI Mode’s citation behavior, not traditional organic rankings. If you want a read on your own site’s traffic, impressions, and ranking positions, that’s a separate, search-console-level check.
Is this article legal advice?
No. This is informational marketing commentary based on a published third-party study, not legal advice for your firm or jurisdiction.
Want a baseline read on your own site before you decide what to fix? Run it through the free SiteScan tool, it grades your site across five pages and rewrites your weakest one with a before-and-after score.
Google is now paying a small group of publishers when their content visibly shapes an AI-generated answer. The program is called AI Contribution, it is a pilot, and it covers roughly 100 publishers worldwide. No small law firm is in that pilot, and none will be invited. But the move itself is the story: Google just put a dollar figure on being the named source behind an AI answer.
What is Google’s AI Contribution pilot?
Reported by eMarketer on September 14, 2026, AI Contribution pays select publishers when their content “significantly contributes” to answers across AI Overviews, AI Mode, Gemini, and other Google AI products. It runs on a pay-per-value model, publishers can opt out, and earnings show up as monthly figures inside Search Console. What Google has not disclosed is just as telling: no public dollar amounts, no full list of participants, and no explanation of how a given answer’s value gets calculated.
How much are publishers actually getting paid?
Numbers are thin and inconsistent. One analyst told eMarketer the program lets “publishers price their work while letting Google retain control over how it is valued.” A separate report pegs the pilot at around 100 publishers, with one publisher reportedly pulling in over $1 million while most participants earned far less. That spread matters. It means Google isn’t paying for simple inclusion. It’s paying for outsized influence on the answer, and most publishers, even inside the pilot, don’t have it.
Why should a small firm care about a program it can’t join?
Because the news isn’t the payout. It’s the admission. For years, Google has pulled answers from the open web, surfaced them in AI Overviews and Gemini, and kept every click, reader, and dollar of attention on its own page. AI Contribution is Google saying, for the first time, that the source behind the answer has measurable value worth paying for.
That logic doesn’t stop at 100 publishers. It applies to every answer AI gives, including the one a prospective client gets when they ask ChatGPT, Gemini, or Perplexity which family lawyer to call in their city. If Google is now pricing “being the source,” a firm should be asking whether it even is the source, in its own market, for the questions its clients are already asking an AI assistant.
What’s the real takeaway for a law firm or professional services business?
Not “sign up for Google’s publisher program.” You can’t, and even the publishers who can are mostly earning little for the effort. The takeaway is narrower and more useful: visibility inside an AI answer is now a recognized asset, not a hypothetical one. Google just validated it with real money.
At GrowthAgents, we call this visibility Citation Share: the percentage of AI-assistant answers in your market that name your firm by name. A firm with low Citation Share is invisible in exactly the moment a prospect is deciding who to call. A firm with high Citation Share shows up in that answer, with no check from Google required.
Be clear-eyed about the difference. Google’s pilot pays a royalty. Citation Share earns attention and credibility, the kind that gets your firm into the conversation before a prospect ever searches your name. That’s the win available to a small firm right now, and it’s one worth measuring on its own terms.
FAQ
Will my firm ever get a check from Google for AI Overviews? Almost certainly not. The pilot is limited to roughly 100 publishers, with no stated path for small firms or professional services sites to join.
What should a firm track instead of waiting on a payout? Whether it shows up by name in AI answers for its market, alongside standard, provable metrics like search impressions, rankings, and clicks.
Is this legal advice? No. This post is informational commentary on a reported industry program, not legal advice for your firm or jurisdiction.
Want to see where your site stands before worrying about what Google pays anyone else? Run it through the free SiteScan tool, it grades five pages and rewrites your weakest one with a before-and-after score.
Is your agency’s “AI search” pitch just SEO with a new coat of paint?
Some agencies now sell “GEO” or “AEO” as a new service line, but the work underneath hasn’t changed. Law firm marketers at recent conferences report hearing AI search mentioned in every meeting while nothing in the actual deliverables shifts. Here are seven questions that separate real work from a relabeled invoice.
This matters because GEO work is harder to audit than traditional SEO. A keyword ranking is a number anyone can check in five minutes. An AI assistant’s answer changes by the hour, varies by region, and differs between ChatGPT, Perplexity, and Google’s AI Overviews. That makes it easy for an agency to describe activity instead of outcomes — and easy for a managing partner to not know the difference until the invoice arrives.
Why this question matters right now
Consumer research behavior is moving fast. A July 2026 survey of 1,110 U.S. consumers found Google usage for researching attorneys fell from 86.7% to 71.9% in a single year, while ChatGPT usage climbed from 28.1% to 41.9% (iLawyer Marketing, 2026). At the same time, a separate analysis of law firm website traffic found AI referrals averaging just 0.47% of sessions (LawFuel, Sept 2026). Translation: consumers are asking AI assistants about attorneys more than ever, but most firms can’t yet see it in their own analytics. That gap is exactly where a relabeled SEO pitch hides. One industry breakdown put it plainly: some agencies talk about AI search “in every meeting” while “nothing they’re actually doing has changed” (MeasureMarketing, 2026).
7 questions to ask on your next agency call
1. Which exact prompts do you track, and across which AI assistants?
Real answer: a named list of prompts tied to your practice areas, tracked across more than one assistant (ChatGPT, Perplexity, Gemini, etc.), reviewed with you.
Dodge: “We monitor your AI visibility” with no prompt list and no named engines.
2. How many runs per prompt, and how often?
Real answer: a stated run frequency and count — AI answers vary run to run, so one-off checks are noise.
Dodge: “We checked and you showed up” — a single snapshot presented as a result.
3. Do you report brand mentions and linked citations separately?
Real answer: two distinct numbers — how often your firm is mentioned by name, and how often a response links to your site. This is the idea behind what we call Citation Share: mentions and citations never get blended into one inflated figure.
Dodge: a single combined “AI visibility score” that hides which number is actually moving.
4. What changed in our actual content because of this work?
Real answer: specific pages rewritten, specific structural changes made — not just a new report format.
Dodge: a shinier dashboard covering the same unchanged pages.
5. How do you structure pages differently for AI extraction versus classic SEO?
Real answer: a concrete explanation — direct-answer structure near the top, clear headings, extractable facts — distinct from keyword-density tactics.
Dodge: “We optimize for both” with no description of what’s actually different on the page.
6. What’s your plan when an AI engine’s behavior changes?
Real answer: an acknowledgment that engines update constantly and a stated process for re-checking and adjusting.
Dodge: silence, or an assumption that today’s approach works forever.
7. Can you show one provable before/after example?
Real answer: one specific page, one specific prompt, a documented change over time.
Dodge: vague claims about “overall improvement” with nothing you can verify yourself.
FAQ
Is GEO the same thing as SEO?
No. Classic SEO targets search engine rankings; GEO (generative engine optimization) targets how AI assistants summarize and cite your firm in conversational answers. They overlap but aren’t identical.
Why don’t AI referrals show up much in my analytics yet?
Research suggests AI-driven research is rising fast, but much of it doesn’t generate a trackable website click — someone asks an assistant, gets an answer, and calls the firm directly. That’s part of why relying on referral traffic alone to judge an agency’s GEO work is misleading.
What should I ask for in writing?
The specific prompts tracked, the engines covered, and separate mention/citation numbers — not a single blended score.
Not sure if your current agency’s GEO work is real? Run your site through our free SiteScan — it grades your site across five pages and rewrites the weakest one, so you can check their claims against an independent read of your own site.
Ask ChatGPT, Gemini, Perplexity, or Grok how to find a personal injury lawyer, and the answer won’t have your firm’s name in it. A new industry benchmark released October 1, 2026 checked 4,000 AI responses to legal-consumer questions and found zero individual law firms among the top 20 most-visible names. Directories, bar associations, and rating sites own that answer right now, which means the fight for AI visibility is happening at a different layer than most firms are watching.
What did the benchmark actually find?
Zen Media ran 1,000 legal-consumer prompts through four AI assistants using its ZAVI AI visibility engine, producing 4,000 total responses from 165 consumer personas, split roughly 71.7% comparison-style prompts and 28.3% informational ones. The headline finding: no single law firm cracked the top 20 names AI assistants surface when consumers ask how to find a lawyer. The names that did show up were directories, rating platforms, and professional associations, not firms.
The benchmark also tracked recurring themes inside the answers themselves. Credential verification appeared in 92% of responses, specialization in 87%, and fee transparency in 85%. Put those together and a pattern emerges: AI assistants aren’t trying to recommend a lawyer. They’re trying to help someone vet one. That’s a different job than ranking on Google, and it rewards different signals.
Is AI visibility a lost cause for law firms, then?
No, but the benchmark is a useful correction to how most firms think about it. If the goal is to show up when someone asks an AI how to find a lawyer in general, directories and bar associations have already won that query, structurally, because they’re the credential-and-directory layer AI assistants are built to lean on. The more useful question for a firm isn’t “do I rank,” it’s whether the AI assistant names you by name when a prospective client asks something specific to your practice area, your city, or your case type. We call that second thing Citation Share: the percentage of high-intent questions prospective clients ask AI assistants in your market that actually name your firm. It’s a different measurement than rankings, and it’s the one that matters once you accept that generic queries go to Avvo.
How do you find out if your firm gets named at all?
Most firms don’t know the answer because nothing in their existing SEO reporting tracks it. Rankings measure where you sit on a results page, not whether an AI assistant says your name out loud. You can sit at the top of page one and be invisible in every AI answer, because these engines answer questions rather than match keywords. The first step is simply seeing what your site gives an AI assistant to work with in the first place.
Frequently asked questions
Does this mean AI assistants never mention a specific law firm?
No. The benchmark measured the top 20 most-visible names across broad, comparison-style legal queries, and none were individual firms at that aggregate level. Narrower, more specific prompts can still surface individual firms, the benchmark just shows they don’t dominate the general “how do I find a lawyer” conversation.
Should a law firm stop investing in SEO because of this?
No. Traditional search and AI-assistant visibility are different surfaces with different rules, and both matter. This benchmark is a reason to add AI visibility as a thing you measure, not a reason to drop anything you’re already doing.
What is Citation Share, in plain terms?
It’s the percentage of the high-intent questions your prospective clients ask AI assistants that actually name your firm, as opposed to naming a directory or a competitor instead.
Why do state bar associations and directories dominate instead of firms?
Per the benchmark, AI assistants lean heavily on credential verification, specialization, and fee-transparency signals when answering legal questions, and bar associations and directories are built around exactly that kind of structured, verifiable information.
Want a quick read on how your own site presents that kind of information to an AI assistant right now? Run it through SiteScan. It’s free, takes about two minutes, grades your site across 5 pages, rewrites your weakest one, and shows you the before-and-after score. No card required.
This article summarizes a third-party industry benchmark for informational purposes and is not legal advice.
A running database maintained by legal researcher Damien Charlotin has logged 2,042 court decisions worldwide — 1,396 in the United States alone — where a party relied on AI-fabricated legal material and a court responded, current as of mid-September 2026.
New entries are added most weeks. The fines have climbed from a few thousand dollars to six figures, and 2026 brought the first indefinite bar suspension tied to AI-fabricated filings. This isn’t a fringe problem anymore. It’s a documented, growing, and actively tracked pattern with real professional consequences.
Quick answer
Since the first widely reported case in 2023 — a New York attorney sanctioned $5,000 after ChatGPT invented six nonexistent court decisions for a brief — courts have sanctioned parties with increasing frequency and severity for filing AI-generated citations that were never verified against a real source. Penalties on record range from a few thousand dollars to over $100,000 in combined sanctions, plus public reprimands, CLE requirements, bar referrals, and at least one bar suspension. The pattern courts keep identifying isn’t the AI use itself — it’s the failure to verify before filing.
What’s actually driving the penalties
Judges have been explicit that using AI for legal research isn’t the violation. The violation is filing a citation nobody personally checked against a primary source (seems simple, but it’s way more common than you might imagine). A few things worth knowing from the current record:
It’s not just attorneys. Of the tracked cases, self-represented (pro se) litigants account for the larger share — 1,174 of the logged cases — versus 812 involving a lawyer. But the professional consequences (bar referral, CLE requirements, suspension, public reprimand) fall specifically on licensed attorneys, which is why firms should treat this as a live risk regardless of the overall split.
Fabricated case law is the dominant category — 1,691 of the logged cases involve outright fabricated authority, with false quotes (549) and misrepresented holdings (854) as the other major patterns.
The Sixth Circuit has imposed $15,000 in punitive sanctions per attorney in one appellate matter, on top of opposing counsel’s fees.
A federal court in Oregon ordered roughly $110,000 in combined sanctions and fees after a brief contained more than 20 fabricated citations and invented quotations across multiple filings.
A Nebraska attorney received an indefinite bar suspension tied to AI-fabricated filings — among the most severe sanctions reported to date.
Courts have repeatedly flagged the same aggravating pattern: asking the same AI tool to “confirm” its own fabricated citation, then filing that false confirmation as if it were independent verification.
A Stanford study cited in recent legal-tech coverage found hallucination rates of roughly 33% for one major legal-research AI tool and 17% for another, against 43% for a general-purpose model used on legal queries — a reminder that even purpose-built legal AI tools aren’t immune, and general-purpose tools are worse.
What this is not about
To be direct about scope: these sanctions involve attorneys using AI for legal research and drafting court filings — a category of work entirely separate from marketing content. GrowthAgents doesn’t touch case citations, legal research, or court filings, and nothing here should be read as a claim that any marketing platform prevents attorney sanctions for fabricated legal authority. That’s not the product category.
The actual parallel worth drawing
The root failure in every one of these cases is the same one that shows up anywhere AI is used carelessly: a system stating something confidently that was never verified against a real source. That failure mode isn’t unique to legal research — it’s the same reason content platforms should refuse to fabricate a claim, a statistic, or a case study they can’t ground in something real, rather than generating a plausible-sounding version and hoping it holds up. The stakes are lower in a blog post than in a court filing, but the discipline is the same: abstain rather than invent when the answer isn’t actually known.
FAQ
Does this mean law firms should stop using AI for legal research entirely? Courts have consistently said AI use itself isn’t the violation — using it without independently verifying every citation against a primary source is. This is a professional-conduct question, not legal advice; consult applicable ethics guidance for specifics.
Are legal-specific AI research tools safe from this problem? Safer, not immune. Published research shows meaningfully lower hallucination rates for purpose-built legal AI tools compared to general-purpose models, but not zero.
Does a marketing content platform carry the same risk as a legal research tool? No — different task, different stakes, different verification requirements. The shared principle is simply that unverified AI output shouldn’t be presented as fact, whatever the context.
Most coverage of AI hallucination sanctions focuses on lawyers, because a licensed attorney getting sanctioned is the more dramatic story. But, interestingly, in the largest running database of these cases, self-represented litigants — people with no attorney at all — actually outnumber lawyers by a wide margin. That split tells a different story than the one usually told.
Quick answer
Of the 2,042 court decisions tracked in Damien Charlotin’s AI hallucination database as of mid-September 2026, 1,174 involve a pro se (self-represented) litigant, compared with 812 involving a lawyer. The gap reflects something specific: AI tools have lowered the barrier to filing something in court at all, and that access comes with a verification gap nobody built a safety net for.
Why the split exists
A self-represented litigant using a general-purpose AI tool to draft a filing has no professional supervision structure, no CLE requirement pushing verification habits, and often no awareness that AI-generated legal citations can simply be invented. A lawyer using the same tool at least operates inside a system — bar rules, malpractice exposure, colleagues — that creates some pressure toward checking the output. That system doesn’t exist for someone representing themselves.
This isn’t a story about who’s more careless. It’s a story about where the safety net has holes. AI tools made it meaningfully easier for someone without legal training to produce something that looks like a real legal filing. They did not make it easier for that person to know the citations inside it were fabricated.
What happens differently for each group
Pro se litigants most often receive warnings, admonishments, or have a brief struck — courts frequently note that pro se status doesn’t excuse the duty to verify, but sanctions tend toward correction rather than punishment on a first instance.
Lawyers face the fuller range of consequences: monetary sanctions, CLE requirements, bar referrals, public reprimands, and in the more severe cases, suspension. The professional licensing structure that pro se litigants don’t have is exactly what creates the additional consequences for attorneys.
What this signals for the profession
Access to legal recourse has genuinely expanded — people who couldn’t afford representation can now draft something resembling a legal filing on their own. That’s not automatically bad. But it’s expanded without the verification infrastructure that makes a filing trustworthy, and courts are absorbing that gap case by case rather than through any systemic fix.
For law firms specifically, this split is also a quiet signal about the market: a growing pool of people are trying AI-assisted self-representation before — or instead of — hiring an attorney. Some of them will hit a wall (a case complex enough, a filing rejected enough times) that sends them looking for real representation. Firms with a strong, honest web presence are positioned to catch that moment; firms that aren’t easy to find or evaluate online simply lose that person to whichever competitor is.
FAQ
Does this mean pro se AI hallucination cases are less serious? Not less serious to the underlying case — a fabricated citation can still get a filing struck or a claim dismissed. The sanctions are typically lighter because there’s no professional license to leverage as a consequence, not because the error matters less.
Are courts changing how they screen pro se filings because of this? Some jurisdictions have adopted specific AI-use policies at the court level (Illinois and California’s Judicial Council among them), but this varies significantly by jurisdiction and isn’t yet a uniform practice.
Where does this data come from? The AI Hallucination Cases Database maintained by legal researcher Damien Charlotin, updated near-daily and licensed for reuse with attribution.
A growing share of searches now get answered directly on the results page — by an AI-generated summary — before anyone clicks a single link. If a firm’s content never gets pulled into that summary, it can rank well and still lose the click. That’s the real shift behind “AEO,” and it’s worth separating from the hype around the term.
Quick answer
Answer Engine Optimization (AEO) isn’t a replacement for SEO — it’s what happens when the same foundational SEO practices (clear structure, genuine expertise, technical cleanliness) get applied with an eye toward being the source an AI system cites, not just the page a person clicks. The fundamentals didn’t change. What changed is that there’s now a second audience — the AI system itself — reading the page before a person does.
What actually helps
Answer-first structure. Opening a section with a direct, complete answer before the supporting detail, rather than building up to the answer at the end.
Genuine expertise, stated plainly. Original analysis, specific jurisdictional detail, and a real point of view — not generic content that could apply to any firm in any state.
Clean technical structure. Content that’s crawlable and indexable, using clear headings that match how people actually phrase questions.
Legitimate citations and sourcing. Content that references real, checkable sources reads as more trustworthy to both search engines and AI systems.
What doesn’t help — and can hurt
Tactics built around gaming AI systems specifically — content “chunking” for its own sake, files designed to manipulate AI crawlers rather than inform readers, or engineered mentions meant to look like organic citations — aren’t the reliable path here. The foundational SEO practices that have worked for years are still the foundation; AEO/GEO is an emphasis shift within that, not a separate playbook.
The practical takeaway for a law firm
Content built to genuinely answer a specific question, structured clearly, backed by real expertise — the same content that’s always ranked well — is also the content most likely to get pulled into an AI-generated answer. The firms losing ground here aren’t the ones ignoring AEO as a concept; they’re the ones with thin, generic, poorly structured content that was already underperforming before AI answers existed.
FAQ
Is AEO a completely different discipline from SEO? No. It’s the same foundational practices — technical clarity, genuine expertise, clear structure — applied with attention to being cited by AI systems, not just ranked by traditional search.
Do “AI text files” like llms.txt actually help visibility? Not reliably. Foundational SEO and genuinely helpful content matter more than files built specifically to signal to AI crawlers.
Should a firm prioritize new content or fixing existing pages for AEO? Existing pages that already have some authority or traffic but are thin or poorly structured are often the higher-leverage fix, since they’re starting from a position search already trusts.
