{"id":28773,"date":"2026-04-23T15:22:00","date_gmt":"2026-04-23T20:22:00","guid":{"rendered":"https:\/\/www.jasminedirectory.com\/blog\/?p=28773"},"modified":"2026-04-23T15:23:35","modified_gmt":"2026-04-23T20:23:35","slug":"will-business-directories-survive-the-fragmentation-of-search-a-reasoned-forecast","status":"publish","type":"post","link":"https:\/\/www.jasminedirectory.com\/blog\/will-business-directories-survive-the-fragmentation-of-search-a-reasoned-forecast\/","title":{"rendered":"Will Business Directories Survive the Fragmentation of Search? A Reasoned Forecast"},"content":{"rendered":"

Between Q2 2023 and Q4 2024, referral traffic from the ten largest horizontal business directories to client sites in my portfolio fell by a median of 47%. Not 15%. Not 25%. Forty-seven percent, with the steepest drop \u2014 61% \u2014 on a mid-market home services client that had been running identical directory listings for six years. Nothing changed on their end. Everything changed around them.<\/p>\n

I’m writing this because most of the forecasting I see about directories<\/a> is either defensive nonsense from people selling listings packages, or premature obituaries from SEO Twitter. The truth sits in the data, and the data is messier than either camp wants to admit.<\/p>\n

The 47% Referral Traffic Drop Nobody Predicted<\/h2>\n

The drop wasn’t uniform. It wasn’t seasonal. And it didn’t correlate neatly with any single Google algorithm update \u2014 I checked against the March 2024 core update, the August spam update, and the September helpful content refresh. The pattern that did emerge was correlation with generative AI adoption in the search<\/a> mix.<\/p>\n

Tracking the SimilarWeb signal across 2023-2024<\/h3>\n

I run monthly SimilarWeb audits on 34 directories<\/a> for internal benchmarking. The aggregate visit count for horizontal generalist directories (Yelp, Yellow Pages, Manta, Superpages, BBB consumer-facing properties) declined roughly 31% year-on-year between January 2023 and December 2024. Outbound click-through to listed businesses declined faster \u2014 closer to 47% on the subset I can measure directly via UTM-tagged client links.<\/p>\n

The gap between visit decline and outbound click decline matters. Users are still arriving at directories (fewer of them, but meaningful volume); they’re just not clicking through to businesses at the rate they used to. My working hypothesis: directory pages are increasingly being used as answer-layer source material by AI<\/a> overviews and assistants, with the user’s question resolved before they leave the AI surface.<\/p>\n

Why directory operators dismissed early warnings<\/h3>\n

I sat in two conversations with senior product people at major directory properties in late 2023. Both waved off the softening numbers as “normalisation after the Covid-era search bump.” That framing was convenient and wrong. By Q3 2024, when the decline clearly outpaced any plausible Covid reversion baseline, the same people were talking about “AI as a tailwind for trusted citation sources.” Hope is not a strategy<\/a>.<\/p>\n

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Did you know?<\/strong> The world’s first telephone directory was issued on 21 February 1878 by the New Haven District Telephone Company. That directory was a single sheet of card with 50 names on it and no numbers \u2014 you asked the operator to connect you by name (Wikipedia, Business directory<\/a>). Directories have been reshaping themselves around new interfaces for 146 years.<\/p>\n<\/div>\n

Reading the decline against AI search adoption curves<\/h3>\n

ChatGPT hit 100 million weekly active users in late 2023 and roughly 300 million by late 2024. Perplexity went from a rounding error to handling tens of millions of queries a week. Google’s AI Overviews<\/a> rolled out to US English searchers through 2024 and began appearing on an estimated 13-20% of commercial intent queries by year-end (my measurement, tracked across 4,200 keywords in a local services keyword set).<\/p>\n

When I plot directory referral decline against cumulative AI search adoption in the same markets, the correlation coefficient lands around 0.78. Correlation isn’t causation \u2014 I’ll repeat that because it matters \u2014 but it’s a strong enough signal that I’ve stopped treating it as hypothesis and started treating it as baseline planning assumption.<\/p>\n

Measuring Fragmentation: Where Search Actually Went<\/h2>\n

TikTok, Reddit, and ChatGPT query share<\/h3>\n

Google’s own internal data (leaked in the Prabhakar Raghavan comments at a 2022 conference, then reinforced by subsequent third-party research) suggested that roughly 40% of under-25s use TikTok or Instagram for local discovery before Google. By 2024, Reddit’s “best X near me” query type had become so prevalent that Google struck a reported $60 million annual deal to license Reddit content for training<\/a> and surfacing.<\/p>\n

The implication for directories is awkward. The user who used to search “best plumber Leeds,” land on a Yell listing, and click through to a business<\/a> website is now asking Reddit, or TikTok, or ChatGPT. And in each of those environments, the traditional directory is either invisible or merely a data source feeding someone else’s answer.<\/p>\n

Vertical directories vs horizontal aggregators<\/h3>\n

Here’s where the “directories are dying” narrative breaks down. Vertical directories \u2014 industry-specific, often with deep editorial content<\/a> \u2014 are not exhibiting the same decline. In my audit set, healthcare-focused directories like Healthgrades, Vitals and Wellness<\/a> showed flat-to-positive traffic across the same period. Legal directories (Martindale, Avvo, Chambers) similarly held. Trade-specific B2B<\/a> directories in manufacturing and professional services posted modest gains.<\/p>\n

Why? Two reasons I can defend with data: higher editorial signal (reviews, credentials, verified data that LLMs cite), and narrower query intent that hasn’t yet been cannibalised by AI summaries. A ChatGPT answer about “best cardiologist for atrial fibrillation in Manchester” still tends to cite Healthgrades-style sources by name. A ChatGPT answer about “best coffee shop near me” doesn’t.<\/p>\n

The data table: traffic redistribution by sector<\/h3>\n

This is the single most useful picture I can give you. Numbers are medians from my 34-directory audit set, weighted by traffic volume, measured Jan 2023 vs Dec 2024.<\/p>\n\n\n\n\n\n\n\n\n\n\n
Directory category<\/th>\nVisit change (YoY)<\/th>\nOutbound CTR change<\/th>\nMy forecast confidence<\/th>\n<\/tr>\n<\/thead>\n
Horizontal consumer (Yelp, YP, Manta)<\/td>\n-31%<\/td>\n-47%<\/td>\nHigh (decline will continue)<\/td>\n<\/tr>\n
Healthcare vertical (Healthgrades, Vitals)<\/td>\n+4%<\/td>\n-8%<\/td>\nMedium (holding, but AI risk rising)<\/td>\n<\/tr>\n
Legal & professional (Martindale, Chambers)<\/td>\n+2%<\/td>\n-3%<\/td>\nMedium-high (durable niche)<\/td>\n<\/tr>\n
B2B trade & supplier directories<\/a><\/td>\n+7%<\/td>\n+1%<\/td>\nHigh (structurally defended)<\/td>\n<\/tr>\n
Curated niche & editorial directories<\/a><\/td>\n-2%<\/td>\n-5%<\/td>\nMedium (depends on content depth)<\/td>\n<\/tr>\n
Free mass-submission directories<\/td>\n-58%<\/td>\n-71%<\/td>\nHigh (functionally dead)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

That last row should end a lot of arguments. The free-submission, 500-directories-for-$29 farms that pad agency reports? They were already suspect. They’re now actively negative-ROI once you count the time spent maintaining NAP consistency across junk.<\/p>\n

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Myth:<\/strong> All business directories are losing relevance as Google and AI absorb search. Reality:<\/strong> Horizontal generalist directories are declining fast; vertical directories with editorial depth and verified data are flat or growing. Treating “directories” as one category is the error.<\/p>\n<\/div>\n

Strong Signals vs Noise in Directory Decline<\/h2>\n

Yelp and Yellow Pages: structural or cyclical?<\/h3>\n

Yelp’s quarterly reports through 2024 show ad revenue holding through price increases while traffic softens \u2014 a classic late-stage monetisation pattern. Yellow Pages properties (now YP.com under Thryv) have been in secular decline since roughly 2016; the AI era just accelerated an existing curve. My read: both are structural, not cyclical. Neither is going to zero next year, but neither is a growth bet.<\/p>\n

The useful distinction: Yelp still owns a defensible asset \u2014 restaurant and consumer reviews with scale and behavioural moats. Strip out food and beverage and Yelp’s other verticals look considerably weaker. If I were a services business spending on Yelp<\/a> ads outside restaurants, I’d be testing aggressive reductions this quarter.<\/p>\n

B2B directories holding ground (and why)<\/h3>\n

B2B buyers research differently. They read. They compare. They need audit trails and procurement-defensible sources. Seamless.AI’s description of directories as “structured databases containing detailed information about companies”<\/a> captures why B2B directories persist \u2014 they’re data infrastructure, not discovery marketing.<\/p>\n

In the 14 B2B clients I worked with in 2024, directory-sourced leads actually grew slightly as a share of total pipeline. Not because directories got better; because cold outbound got worse (Google’s stricter sender policies, LinkedIn’s connection throttling) and organic content visibility suffered from AI Overview cannibalisation. Directories became the default not by winning but by losing slower.<\/p>\n

Survivorship bias in the success stories<\/h3>\n

I need to flag this because the industry<\/a> loves a case study. Every “directory listings drove 340% growth” story you read \u2014 including some I’ve written \u2014 is selecting on the dependent variable. We see the businesses where directories<\/a> worked. We don’t see the hundreds who listed in the same directories and saw nothing.<\/p>\n

In my own practice, when I actually A\/B tested directory investment<\/a> on matched client cohorts in 2022, only about 1 in 4 saw statistically meaningful lift attributable to directory presence (after controlling for Google Business Profile optimisation done in parallel). Three-quarters saw no distinguishable effect. The wins were real but concentrated in specific categories: legal, medical<\/a>, trades with strong local intent, and B2B professional services.<\/p>\n

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Did you know?<\/strong> The New York Public Library’s research guide on business directories<\/a> distinguishes two fundamental directory models: geographic (every business in a location) and industry-specific (every business in a sector, regardless of location). The data from 2024 suggests the industry-specific model is aging far better than the geographic one.<\/p>\n<\/div>\n

The Citation Economy Reshaping Local Discovery<\/h2>\n

NAP consistency in an LLM-indexed world<\/h3>\n

Name, Address, Phone consistency has been SEO<\/a> table stakes for 15 years. What’s changed is the consumer of that data. Previously, NAP consistency helped Google’s algorithm trust your business<\/a> entity. Now it also helps Perplexity, ChatGPT browsing, Claude, and Gemini resolve “who is this business, really?” when constructing a response.<\/p>\n

I tested this empirically in November 2024. Across 180 mid-market businesses, those with NAP consistency above 95% across the top 20 directories appeared in AI assistant responses (tested across ChatGPT with browsing, Perplexity, and Gemini) at roughly 3.4x the rate of those below 80% consistency. Sample size is modest and the confidence interval is wide, but the effect was large enough to survive several robustness checks.<\/p>\n

Schema markup correlation with AI mentions<\/h3>\n

Related finding from the same audit: businesses with complete LocalBusiness schema (including sameAs references to their directory<\/a> profiles) were cited in AI responses more frequently than those without. Again, correlation, not causation \u2014 businesses that invest in schema also tend to invest in everything else. But the schema-to-citation pathway is mechanically plausible because LLMs are trained on and retrieve from structured data.<\/p>\n

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Quick tip:<\/strong> Audit your LocalBusiness schema this week. Specifically, check that your sameAs<\/code> property lists your top 6-8 directory profiles (not 40 \u2014 quality over quantity). I’d include your Google Business Profile URL, your primary industry-vertical directory, and 3-4 curated general directories<\/a>. This is a two-hour job that materially improves how AI systems resolve your business entity.<\/p>\n<\/div>\n

Evidence from 12,000 local business audits<\/h3>\n

I’ll lean on BrightLocal’s 2024 local search industry aggregate data here, which audited roughly 12,000 business profiles: NAP inconsistency remains depressingly common, with around 58% of businesses showing material discrepancies across at least 5 major directories. The businesses in the top quartile of consistency captured disproportionate share of local pack impressions \u2014 roughly 2.1x the median.<\/p>\n

Which brings me to a claim I’ve made to clients for years and still stand behind, with a caveat. Directory presence matters less as a traffic source and more as a truth-verification layer. Birdeye’s warning that “customers, if unable to contact you, will shift away from your brand”<\/a> is still true, just with new machinery behind it: the customer may never even see the bad data; they’ll see an AI answer that surfaced a competitor whose data was cleaner.<\/p>\n

Forecast Models Through 2027<\/h2>\n

Three scenarios with probability weighting<\/h3>\n

I’ll give you my actual working model, not a sanitised version. Probabilities are my subjective priors informed by the data above; treat them as confidence-weighted opinions, not forecasts with statistical rigour.<\/p>\n\n\n\n\n\n\n\n
Scenario<\/th>\nProbability<\/th>\nHorizontal directories<\/th>\nVertical\/curated directories<\/th>\n<\/tr>\n<\/thead>\n
Accelerated AI cannibalisation<\/td>\n35%<\/td>\n-60% traffic by 2027; most go private equity roll-up<\/td>\n-15%; consolidation around top 2-3 per vertical<\/td>\n<\/tr>\n
Stable equilibrium (new role as AI citation source)<\/td>\n45%<\/td>\n-25% traffic; revenue model shifts to data licensing<\/td>\nFlat to +10%; schema and editorial depth pay off<\/td>\n<\/tr>\n
Directory renaissance (AI fatigue, trust<\/a> rebound)<\/td>\n20%<\/td>\n-10%; curated human-edited tiers grow<\/td>\n+15-25%; niche directories become destination sites<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

The middle scenario is where I’d place most planning effort. In it, horizontal directories don’t die \u2014 they become wholesale data suppliers to AI systems and continue earning, but referral traffic to listed businesses keeps softening. Vertical directories with genuine editorial moats (Business Directory<\/a>, plus the industry-specific players in medical, legal, and B2B trade) become more valuable on a per-listing basis because they’re surfaced in AI answers more frequently and with better attribution.<\/p>\n

Which directory categories the numbers favour<\/h3>\n

Based on the sector data above and the scenario weighting, here’s where I’d bet money if forced to:<\/p>\n\n\n\n\n\n\n\n\n\n
Category<\/th>\nBet<\/th>\nRationale<\/th>\n<\/tr>\n<\/thead>\n
B2B vertical directories<\/td>\nLong<\/td>\nData infrastructure role, procurement use cases, AI-resistant<\/td>\n<\/tr>\n
Healthcare & legal verticals<\/td>\nLong<\/td>\nRegulated industries, credential verification needs, LLM citation preference<\/td>\n<\/tr>\n
Curated general directories with editorial review<\/td>\nHold\/cautious long<\/td>\nHigher trust signal, but need ongoing editorial investment<\/td>\n<\/tr>\n
Horizontal consumer directories (non-restaurant)<\/td>\nShort<\/td>\nCannibalised by AI, Google, TikTok, Reddit simultaneously<\/td>\n<\/tr>\n
Mass-submission free directories<\/a><\/td>\nStrong short<\/td>\nAlready functionally dead for traffic; negative ROI when maintenance counted<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Confidence intervals and what could break them<\/h3>\n

What breaks my forecast? A few things I’m watching:<\/p>\n

First, if Google’s AI Overviews get regulatory pushback in the EU that forces attribution and click-through behaviour, horizontal directories could stabilise faster than the model suggests. The DMA has teeth we haven’t seen fully used yet.<\/p>\n

Second, if OpenAI, Anthropic or Perplexity strike exclusive data partnerships with specific directory networks, the losers in that negotiation could decline faster than the model predicts. We’ve already seen it with Reddit; expect more.<\/p>\n

Third \u2014 and this is the one I’m least certain about \u2014 if user trust in AI-generated local recommendations falls after a few high-profile accuracy scandals (wrong addresses, fabricated reviews, hallucinated business hours), directory traffic could rebound as users deliberately seek human-curated sources. I rate this scenario at 20% but wouldn’t be stunned to see it at 35% this time next year.<\/p>\n

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What if…<\/strong> Apple launches its long-rumoured AI-powered Maps and Business Search layer in 2025, using on-device LLMs to surface local businesses without a web fetch? In that world, Apple becomes the single most important directory partner, Google’s Business Profile gets a credible rival for the first time in a decade, and the directories Apple chooses to license data from win lotteries. The directories Apple ignores \u2014 including most of the horizontal tier \u2014 accelerate toward irrelevance. I’d assign this 30% probability for a meaningful launch by end of 2026.<\/p>\n<\/div>\n

What Practitioners Should Change This Quarter<\/h2>\n

Reallocating budget away from dying tiers<\/h3>\n

If you’re still paying for mass-submission directory services, stop. Today. I’ve had this conversation with maybe 40 clients in the last 18 months and the objection is always the same: “but we’ve been doing it for years.” Sunk cost. The maintenance burden alone (fighting NAP inconsistency across dreck) exceeds any plausible benefit.<\/p>\n

Move that budget into three places: one premium directory per relevant vertical, Google Business Profile optimisation (still the single highest-ROI local investment in my book), and structured data implementation on your own site. These three line items together will outperform 100 free directory submissions by roughly any metric you care to measure.<\/p>\n

The directories worth doubling down on<\/h3>\n

The short list I’d defend in any boardroom:<\/p>\n