GrowthAgents AI

Tag: Citation Share

  • ChatGPT Is Losing Ground to Claude and Gemini

    ChatGPT Is Losing Ground to Claude and Gemini

    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.

    Some of this is people using more than one assistant rather than switching entirely. Multiplatform visitation rose to 99 million users, up from 59 million a year earlier. Prospective clients aren’t settling on one AI tool. They’re asking the same question in more than one place.

    Where Is the Traffic Actually Going?

    Mostly to Claude and Gemini. Claude’s share of AI prompt volume rose from 2% to 11% over the same six months. Its desktop conversations climbed from 1.1 million in October 2025 to nearly 40 million in April 2026, before leveling off at 22.3 million in June 2026 — about 20 times its October 2025 level.

    Gemini’s growth is bigger in raw numbers. Its share rose from 17% to 30%, and its desktop conversations grew from 8 million to 89 million over the past year, with a similar slowdown showing up in early summer.

    And more people are showing up to an AI assistant at all. By June 2026, 35% of desktop users and 29% of mobile users had visited an AI assistant, up from 25% and 12% in January 2025. The pool of people asking AI tools questions is growing, and it’s splitting across more tools as it grows.

    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.

    What Should a Small Firm Actually Track?

    Citation Share across ChatGPT, Claude, and Gemini — not one engine standing in for all three. The report itself attributes ChatGPT’s falling share to people spreading their usage across more tools, not to ChatGPT losing users outright. So the point isn’t to drop ChatGPT tracking. It’s to stop treating it as the whole picture.

    Does This Mean ChatGPT Is Losing Users?

    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 AI Mode Cut Citation Links by 82 Percent

    Google AI Mode Cut Citation Links by 82 Percent

    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.

    What did Evertune’s study actually find?

    Evertune tracked AI Mode responses from August 11 to September 3, 2026. In that window, the average response went from 19.7 citation URLs plus 5.0 plain links, about 24.7 sources total, down to just 3.8 sources. The share of responses that included any plain citation link fell from 84 percent down to 6 percent. That’s not a tweak. That’s a channel closing.

    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 Paying Publishers for AI Answers

    Google Is Paying Publishers for AI Answers

    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.

  • Schema Markup Alone Will Not Get You Cited

    Schema Markup Alone Will Not Get You Cited

    Adding JSON-LD schema markup to your site will not meaningfully increase how often ChatGPT, AI Overviews, or AI Mode cite you. A large-scale Ahrefs study found the effect sits inside the margin of statistical noise. What actually correlates with AI visibility is being mentioned by name in places AI assistants already trust.

    What did the research actually measure?

    Ahrefs tracked 1,885 pages that added schema markup between August 2025 and March 2026, comparing each one against a matched control page that did not add markup. That is a controlled test, not a survey of opinions. It isolates the effect of the markup itself from everything else happening on the page.

    Does schema markup move the needle on AI citations?

    Barely, and not in a direction you can plan around. AI Mode citations moved about +2.4%. ChatGPT moved about +2.2%. AI Overviews citations actually ticked down slightly. Ahrefs itself describes these numbers as statistical noise, close enough to zero that none of it counts as a real effect.

    Translation: the afternoon your developer spent wiring up Organization, LocalBusiness, or FAQPage schema probably did not buy your firm a single extra AI citation.

    So what does correlate with getting cited by AI?

    The same body of research analyzed 75,000 brands and found a very different pattern. Brand mentions correlate with AI visibility at 0.664. Backlinks, the thing SEO has chased for two decades, correlate at only 0.218. YouTube mentions scored highest of any signal measured, at 0.737.

    Why does a brand mention beat a backlink?

    A backlink is a vote cast by one website for another. An AI assistant answering a question is not counting votes, it is pattern-matching on names it recognizes from sources it already trusts: press coverage, industry publications, review sites, video. A mention of your firm’s name in a local news story or a legal directory tells the model something a link cannot: that a trusted third party is talking about you, by name, in context.

    What does this mean for a small law firm?

    It means the checklist you were handed, add schema, submit a sitemap, build backlinks, was built for a search engine that ranked pages. It was not built for an answer engine that names brands. Your developer can finish every item on that list and your firm’s AI visibility will not move, because none of those items put your name in front of the sources AI already reads.

    This is exactly what we track with Citation Share: the percentage of AI-assistant answers in your market that actually name your firm. Technical markup does not move that number. Being named, repeatedly, in places AI already trusts does.

    What should you do instead of chasing schema?

    Stop treating AI visibility as a one-time technical project and start treating it as an ongoing earned-media and content-distribution problem.

    • Get your firm named in trade publications and local press, not just linked to.
    • Show up on YouTube, even in a modest format, since it scored highest of any channel in this research.
    • Repurpose the content you already write into the places AI assistants read, instead of publishing once and stopping.
    • Watch your own search-console data, impressions, clicks, rankings, for your firm name and practice areas, so you can see visibility trending in the right direction over time.

    A team of agents can carry the distribution work without adding it to your plate. But the schema tag on your homepage was never where the leverage was.

    Is schema markup worthless?

    No. It still helps search engines and some systems parse your page correctly, and it costs little to maintain once it is in place. This research simply says it is not a lever for AI citation rates, so it should not be the centerpiece of an AI visibility plan.

    What is Citation Share?

    Citation Share is the percentage of AI-assistant answers in your market that name your firm. It is a direct way to measure AI visibility, instead of guessing from a technical checklist.

    Is this legal advice?

    No. This article is informational commentary on marketing research. It is not legal advice, and nothing here should be read as guidance on your firm’s legal or compliance obligations.

    Curious where your firm actually stands today? Run a free SiteScan and see how your weakest page grades out, before and after.

  • AI-Native Law Firms Are Raising Millions. Should You Worry?

    AI-Native Law Firms Are Raising Millions. Should You Worry?

    No — not yet, and not for the client base you actually serve. The firms making headlines this week sell flat-fee commercial contract work to startups. They are not competing for personal injury, family law, or immigration clients. The part worth your attention isn’t the threat. It’s the model.

    What actually happened this week?

    Three stories broke within days of each other. Arceus, a “new model” law firm built around AI agents and proprietary software, raised $17 million led by Greycroft (Artificial Lawyer, Oct 1, 2026). It guarantees standard contract reviews within eight hours or the review is free.

    A day later, Wim Dejonghe — the former global senior partner at Allen & Overy — surfaced as co-founder of Falcon, an AI-native firm that reviews commercial contracts for European SMEs, backed by a EUR 1.5 million pre-seed round (Global Legal Post, Oct 2, 2026). Every review is signed off by a qualified lawyer and returned the same day.

    Around the same time, Artificial Lawyer reported (Sept 30, 2026) that Pierson Ferdinand, a firm built with no associates, reached 300 partners by leaning on AI platforms to do the heavy lifting usually done by junior staff.

    Three separate stories, three separate investors, all in one week. That’s not noise. It’s a signal that serious money believes software can restructure how certain legal work gets priced and delivered.

    Why is this happening now?

    All three firms point at the same inefficiency: hourly billing passes the cost of slow, manual work straight to the client. Dejonghe himself put it plainly — hourly billing lets firms “pass on inefficiencies to the client,” and he argues that needs to change. Arceus makes the same bet with a literal guarantee: a standard review within eight hours, or it’s free.

    Neither firm is claiming AI replaces lawyers. Falcon has a qualified lawyer sign off on every review. Arceus pairs licensed attorneys with its software. The pitch isn’t “no humans.” It’s “fewer hours wasted on work software can do faster.”

    Are these firms coming for your clients?

    Look at who they actually serve. Arceus and Falcon sell flat-fee commercial contract review to startups and SMEs — fast turnaround, software-driven, high-repeat work. That’s a different buyer than someone searching “divorce lawyer near me” at 11pm, or a family deciding who handles a car accident claim.

    Pierson Ferdinand’s zero-associate structure is a staffing bet, not a consumer play. None of these three are built to compete on local, relationship-driven, high-stakes personal legal work. That’s not a reason to ignore them. It’s a reason to read them correctly.

    So what’s the actual lesson for a small firm?

    It’s the model, not the money. Three things stand out across all three stories:

    • Flat, predictable pricing instead of billable-hour uncertainty.
    • Fast, stated turnaround times clients can count on.
    • Software doing the repeatable work, so people focus on judgment calls.

    A solo or small firm can’t out-raise a venture-backed entrant. You don’t have $17 million, and you don’t need it. What you can do is apply the same logic locally: be clear about pricing and turnaround, use software for the repetitive parts of your practice, and show up as the obvious answer in your own market.

    What is Citation Share, and why does it matter here?

    Funded firms are buying national visibility with capital — PR, investor networks, brand recognition. A small firm’s version of that isn’t a bigger budget. It’s Citation Share: the percentage of AI-assistant answers in your market that actually name your firm when someone asks for help.

    When a prospective client asks ChatGPT or another AI assistant “who handles car accident claims in [city],” your firm either shows up or it doesn’t. That’s a local visibility race the venture money above isn’t running. It’s winnable with the information already on your site, structured so AI assistants can find and trust it.

    Arceus and Falcon are spending capital to be visible to startups and investors nationally. A personal injury or family law firm doesn’t need that budget — it needs to be the name an AI assistant reaches for in its own city. That’s a narrower, more winnable fight.

    Do AI-native firms threaten small personal-injury or family law practices?

    Not based on what’s been announced. Each of the three firms above targets flat-fee commercial or contract work, not consumer-facing practice areas.

    Should I change my pricing because of this?

    Not necessarily. The useful takeaway is the clarity behind their pricing and turnaround promises — clients respond to that regardless of who’s offering it.

    What can a small firm do this week?

    Start with what’s checkable: does your site give AI assistants clear, structured information about your practice areas and location? That’s the groundwork Citation Share is built on.

    How is Citation Share different from search rankings?

    Search rankings measure where you land on a results page. Citation Share measures whether an AI assistant names you at all when it answers a question directly — a newer, separate kind of visibility worth thinking about alongside traditional rankings.

    This is general commentary on industry trends, not legal advice.

    Curious where your site stands? Run a free SiteScan to see how AI-ready your site is for the questions people ask about your practice area — no $17 million required.

  • Is Your Agency Selling Rebranded SEO as GEO? 7 Questions

    Is Your Agency Selling Rebranded SEO as GEO? 7 Questions

    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.

  • No Law Firm Cracks the Top 20 AI Visibility List

    No Law Firm Cracks the Top 20 AI Visibility List

    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.

    Which names are AI assistants actually naming?

    By company, Avvo appeared in 45% of responses, Martindale-Hubbell in 32%, Super Lawyers in 24%, FindLaw in 15%, and LegalZoom in 13%. Zoomed out by category, legal directories and rating platforms accounted for 45% of all company mentions, professional associations 20%, and online legal services 15%. That’s the entire visible map. There’s no slice left over labeled individual firm.

    What do AI assistants cite as sources?

    Citations tell a similar story. State bar associations were cited in 92% of sourced answers, ahead of Avvo at 85%, Martindale-Hubbell at 78%, and Super Lawyers at 65%. Zen Media CEO Sarah Evans put it plainly: “When someone asks an AI assistant how to find a personal injury lawyer, the answer almost always points them to the state bar, to attorney directories and to questions about contingency fees,” a quote reported in the original release.

    What is the AI actually trying to answer?

    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.