AI Mode Visibility by Vertical: What the Data Shows for Your Industry

If you are a plumber, HVAC tech, dentist, or chiropractor, review volume is the standout difference between who AI Mode shows and who the Local Pack shows. In every consumer vertical, AI Mode surfaces the businesses with more reviews.

Plumbing is the starkest case. AI Mode plumbers carry roughly 4x the reviews of Local Pack plumbers. The distribution makes it concrete: 47% of Local Pack-only plumbers have under 100 reviews, against only 19% of AI Mode plumbers. If you are sitting under 100 reviews, you look like a Local Pack business, not an AI Mode business.

This is correlation, not proof. Businesses with more reviews also tend to have stronger profiles and more web authority, so review count may be a marker of those things rather than the lever itself. Mean star ratings were effectively identical across both channels (4.83 vs 4.84), so the separation is in volume, not rating. You do not need a higher star average. You need more reviews coming in.

So pull AI Mode for your money keyword, take the median review count of the businesses it lists, and compare it to your own. If you are a plumber with 90 reviews and the AI Mode median is 500+, you have found a gap worth closing, though the study can only show this tracks with AI Mode visibility, not that it causes it. Earning reviews is worth doing regardless, and it is the one input here you fully control. For the exact pull-and-compare procedure, see how to check your AI Mode visibility.

For law firms, the consumer playbook backfires. AI Mode lawyers carry a median of 144 reviews against the Local Pack's 232, a -38% gap. Out-reviewing your competitors is not the lever. That -38% is a cross-keyword median, and the lever splits by practice area: divorce and personal injury keywords often still return business cards, where the consumer review play can apply.

The reason shows up in how AI Mode handled the most extreme legal keyword. Bare "criminal defense lawyer" returned business cards 70% of the time. Add "best" and "best criminal defense lawyer" returned zero business cards across all 10 cities (this result survives FDR correction but not the stricter Bonferroni correction; and it is not a blanket lawyer pattern: "best divorce lawyer" still returned cards 80% of the time). Instead of law firms, AI Mode served educational content: articles about the process, what to look for, cost breakdowns. Even then, it still mentions businesses by name in the text 98% of the time, but without star ratings, review counts, or click-to-call buttons. The user reads content, not a listing.

That tells you what AI Mode appears to weight for this vertical: not review count, but authority, and being the source it cites in a written answer. For a law firm, run your core practice-area keywords through AI Mode, note whether you get cards or an article, and for the keywords that return articles build deep practice-area pages that out-write whatever AI Mode is currently summarizing. Then earn citations from authoritative legal directories. When AI Mode composes an answer instead of listing businesses, being a cited source beats having a profile.

Medical specialists track lawyers, not plumbers. AI Mode median: 715 reviews. Local Pack median: 944. A -24% gap, with AI Mode surfacing the businesses that carry fewer reviews.

This is the YMYL pattern, Your Money or Your Life, and AI Mode treats medical with the same caution it applies to legal. Like lawyers, medical is among the verticals where AI Mode is most likely to skip business listings entirely and surface educational content instead: condition overviews, treatment explanations, cost breakdowns. AI Mode appears to weight credentials, authoritative content, and established web presence over consumer review volume.

So for a medical practice, make provider credentials, board certifications, and specializations explicit and crawlable, publish condition and treatment content that genuinely answers patient questions, and earn citations from recognized medical directories. The review-volume sprint that tracks with visibility for a plumber is, on this data, close to wasted effort for a specialist (smallest sample in the study, treat as directional). The -24% gap tells you reviews are not the door.

Restaurants show the narrowest gap of any vertical: AI Mode median 1,500 reviews vs Local Pack median 1,450, just +3%. They also carry the highest review volumes in the entire dataset, in both channels.

Read those two facts together. In food, everyone already has thousands of reviews, so review quantity stops being a differentiator and becomes the price of admission. A +3% gap means AI Mode and the Local Pack are drawing from nearly the same well. A restaurant with 1,500 reviews is not "ahead" in AI Mode the way a plumber with 546 reviews is. You cannot out-volume your way to visibility when the median is already 1,500.

Confirm you clear the local median first. A sit-down restaurant under a few hundred reviews is below the floor both channels draw from. Once you are in the four-figure range, stop expecting review volume to move you. Add cuisine and occasion terms ("date night Italian", "patio brunch") to your profile and menu content, and test those phrasings in AI Mode to see which ones surface businesses.

One variable can override everything above: intent. Even after you know your vertical, AI Mode appears to decide, per keyword, whether a query means "show me businesses" or "explain this to me." That decision does not respect vertical boundaries.

The cleanest example sits inside a single industry, with the same modifier:

Same word "best." Same broad industry. One returned businesses four times out of five. The other returned business cards in zero of the 10 cities. AI Mode appears to have classified one as transactional and the other as informational, and you would not have guessed which. It is not just a lawyer quirk: "best plumber" and "best HVAC repair" returned cards 100% of the time, "best dentist" hit 90%. Classification varies by the exact keyword, not just by vertical.

The wording you use is its own visibility lever, and it is large. Adding "near me" rescued business cards in 100% of bare-keyword failures in the study. The full rescue ladder, per-keyword modifier table, and the "best"-backfire mechanism live in how query wording controls whether you show up. The practical takeaway for this brief: run your 5 to 10 money keywords bare, then with "near me", "best", and your city, and record which return cards versus content. The keywords that return cards are where review and profile work pays off. The keywords that return articles are where content and citations pay off. Same business, two strategies, decided by what the screen actually shows.