How visible are funeral homes in AI answers? What the numbers actually say

Numbers about AI visibility get quoted everywhere and checked almost nowhere. This page is the record we keep: every statistic worth citing about how funeral homes show up in AI answers, each with its method, its population, and its date — and the gaps named plainly. Our other articles cite these sources inline where a claim needs them; this page holds the full picture, and it gets updated as the indexes refresh.

How often do AI assistants recommend any given local business?

The broadest measurement so far comes from SOCi, a local-marketing software vendor — a conflict worth knowing, since the finding sizes the problem its product sells against. Its 2026 Local Visibility Index covered 2,751 multi-location brands and more than 350,000 locations, asking a standardized prompt — “Can you recommend businesses of X type in Y market?” — and counting a brand as visible only if it landed in the top five of ten requested results. Brand locations surfaced in AI recommendations 6.5 percent of the time overall: 1.2 percent on ChatGPT, the most selective platform tested, and 11 percent on Gemini — against a 35.9 percent average appearance rate for the same brand universe in Google’s local 3-Pack. SOCi’s framing: AI discovery is roughly thirty times more selective than traditional local search.

Two things this measurement is not. It is not funeral-specific — the index spans retail, food, services, financial, and property categories, and no deathcare category appears in SOCi’s own published list. And it is not a small-business baseline: the measured population is brands with fifty or more locations, chains with listings teams. SOCi’s own reading of its numbers cuts against the obvious inference — it notes that AI systems often favor single-location businesses, whose “data, reputation, and activity signals are simpler and more unified.” An independent funeral home is closer to the case AI reportedly favors than to the case it measured. Treat the numbers as an order-of-magnitude signal about how selective AI discovery is, not as your baseline.

How many families actually ask an AI for a local recommendation?

In BrightLocal’s Local Consumer Review Survey 2026 — a 1,002-person US consumer panel — 45 percent said they had used AI to find local-business recommendations in the past twelve months, making AI the third discovery channel behind Google and Facebook. The age split matters more for this industry than the headline: AI use peaks at 64 percent among 30-to-44-year-olds, holds at 51 percent among 45-to-60-year-olds — the ages when losing a parent most often comes — and drops to 24 percent past 60. And 88 percent of the AI users said they fact-check the recommendation against reviews before acting on it, which is why the answer an assistant gives about a funeral home is a shortlist moment, not a final verdict.

One reading lesson this stat teaches: BrightLocal’s prior-year figure was 6 percent, and the jump to 45 gets quoted as a trend. The two numbers came from differently worded questions, so the honest claim is the level — 45 percent in 2026 — with the direction noted, not a measured 39-point climb.

Does ranking on Google still get you into AI answers?

Ahrefs’ March 2026 analysis of four million AI Overview citations across 863,000 search results found that only 37.1 percent of the pages Google’s AI Overviews cite also rank in that query’s top ten organic results. Most of what AI Overviews quote is not on page one for the query it answers — more than a third of cited pages don’t rank in the top 100 at all.

Ahrefs’ July 2025 measurement put the figure near 76 percent, and the drop gets cited as Google changing its behavior. Read the two studies before repeating that: the earlier run counted only each Overview’s three most visible citations, the later one counted all of them, and Ahrefs notes its citation detection improved in between. Part of the drop is a better ruler, not a changed world — young metrics move for both reasons, and AI-visibility metrics are all young.

How accurate is what AI says about a business?

Here is where the honest answer is: no number we are willing to print. A widely repeated figure claims 93 percent of local businesses have at least one basic fact wrong or missing in AI assistants’ answers. It traces to an AI-visibility vendor’s press pitch and stops there — the study was never published. What the write-ups do disclose undercuts the headline: 165 businesses, all in London, checked against the UK companies registry, with 81 queries run per business — and an underlying error rate of 11 questions in 100. Ask 81 questions and count any single miss, and 93 percent is close to guaranteed by construction. We don’t cite it, and we’d rather nobody cited us that way either.

What survives without a percentage: assistants assemble business facts from directories, stale listings, and whatever pages they reach, and they state the result with the same confidence either way. The fix is not a statistic — it’s reading what AI already says about your funeral home and making the record it draws from consistent.

How many funeral homes are in the denominator?

Any “share of funeral homes” claim needs a denominator, and there are two in circulation. The National Funeral Directors Association reports 15,401 funeral homes operating in the United States, approximately 75 percent of them family- or privately owned — figures NFDA attributes to government, industry, and its own research reports, with the page last updated September 2025. Trade press still repeats a count near 19,000, which traces to 2022-era journalism; neither source reconciles the gap. We use NFDA’s number and say so — and any percentage built on “all US funeral homes” should tell you which denominator it chose.

What actually lifts a page’s visibility in AI answers?

The first peer-reviewed evidence is the GEO study (KDD 2024): 10,000 real queries, nine content-optimization methods tested against a no-change baseline. Adding quotations, statistics, and cited sources lifted a page’s visibility in generative-engine answers by roughly 30 to 40 percent on the study’s position-adjusted word-count metric — its stricter subjective-impression measure moved 15 to 30 percent — while keyword stuffing, the old reflex, was the one method that scored below baseline on that word-count metric. The much-quoted underdog number is real but conditional: a fifth-ranked page gained 115.1 percent visibility in the run where every competitor optimized too, and the top-ranked page lost 30.3 percent in the same run.

Read its limits before leaning on it: the engines tested were GPT-3.5-era, the data is from late 2023, and “visibility” means how prominently an already-retrieved page gets quoted — not which business gets named, and not calls or traffic. It is page-level evidence for writing citable pages, and that is all we use it for.

It also no longer stands alone: C-SEO Bench, peer-reviewed at NeurIPS 2025, re-tested the same content tactics on four newer models across six domains and found most of them ineffective — three statistically significant ranking improvements out of 54 tested cases, and none in question answering. Two eras, two test rigs, two verdicts: treat sourced, quotable writing as a discipline worth having, not a lever with a guaranteed number on it.

Is there a funeral-specific AI-visibility measurement?

No credible one exists yet, and we would rather say so than borrow one. In 2026 a public-relations agency published an index claiming to measure exactly this — which funeral homes AI assistants recommend, metro by metro. We do not cite it: its headline share cannot be derived from the method it discloses, its methodology document returns a 404, the one outlet corroborating it shares the report’s author, and the vendor sells services against the problem the index reports. None of that requires bad intent; all of it disqualifies a number this page would have to stand behind. When a funeral-specific measurement with a published, checkable method appears, it will be added here.

How to read the next number you see

Four questions sort every AI-visibility statistic: who measured it, on what population, with what operation, and when. The numbers above answer all four, and their limits are printed next to them. The ones we declined to print failed at least one — usually the second or the third. That is the whole method of this page, and it is the same standard we ask of anyone citing us.

Reviewed July 28, 2026. This page is updated as the indexes above refresh.