Strategic brief 03Auto · Q2 2026

The 90-Day Window Where Auto Buyers Decide

Why the dealership search is the harvest, not the hunt — and what to fund during the three months when the decision is actually being made.

I’m a…

Chris Gardner — Digital Marketing Consultant, USA TODAY NETWORK | LOCALiQ. Founder, Signostic. Windsor, ON. Published 21 April 2026 · Reading time ~9 min · About · LinkedIn · Email

The argument

The VDP-view auction is real, the lower-funnel work is real, and they are both happening downstream of where the decision was made. Auto buyers form their consideration set 60 to 90 days before they search a dealership name — on third-party review sites, OEM-controlled inventory channels, YouTube test-drive reviews, Reddit comparison threads, and AI answer engines that now name specific makes and models when asked. By the time a buyer types Ford F-150 dealer Windsor into Google, the make is locked in and the shortlist is two or three dealerships deep. Most dealers compete on the harvest half of the budget. The brand half decides whether their store was even in the consideration set.

The position

The dealership search is the harvest, not the hunt.

For roughly two decades, the dominant model of auto dealership digital marketing has been a lower-funnel question: bid on dealership-name and model keywords, drive VDP views, capture form submits, count test drives. Every operator-grade discipline in the category — inventory ads, OEM co-op funding, Cargurus and AutoTrader listings, the local PPC retainer — lives inside that question. The work is necessary. It is also incomplete.

The decision a buyer makes when they type Ford F-150 dealer near me into Google was, in most cases, made weeks or months earlier. By that point, the make is decided, the trim is largely decided, the financing approach is decided, and the shortlist is two or three dealers deep. That narrowing did not happen on a VDP page or in a paid search auction. It happened during the 60–90 day consideration window — on third-party review sites (Cargurus, AutoTrader, Edmunds, KBB), on OEM-controlled inventory and incentive channels, in YouTube test-drive reviews and comparison videos, on Reddit’s r/cars and category-specific forums, and increasingly inside AI answer engines that now name specific makes and models when asked “what truck should I buy in 2026.” The dealership search at the end of that window is the harvest. The dealer that captures the harvest may or may not have been the dealer that built the brand availability that made the harvest possible.

This is not a new framework. Cox Automotive’s Car Buyer Journey research, Google’s own auto-industry data, and a decade of Ehrenberg-Bass work on category entry points converge on the same finding: auto purchase decisions are made upstream of the dealer auction, in research moments most dealer dashboards cannot see. What is newer is the addition of AI answer engines and YouTube long-form review content as primary mediation layers for the 90-day window. The mechanism is the same; the surfaces have shifted.

The mechanism

Category entry points, then the shortlist.

The framework most useful here is the Category Entry Point (CEP), introduced by Jenni Romaniuk in Building Distinctive Brand Assets. A CEP is the cue that brings a category to mind — a moment, a need, a circumstance. Buyers do not think about buying a vehicle most days. They think about it when a CEP fires. The 90-day window opens at the CEP and closes when the buyer walks into a dealership.

For an auto buyer, the CEP set is small, durable, and high-intent — which is precisely why mental availability work in this category compounds so hard when it’s funded:

Lease maturity 3–4 month window before lease end. The single highest-intent CEP in the category. The buyer knows the date the lease ends, knows their monthly budget, and starts shopping 90 days out by default. Whichever dealer is mentally available at month -3 has a structural advantage that’s difficult to overcome with month-zero PPC.

Vehicle aging out Repair frequency rising, warranty expiring, lifestyle change. The most common CEP for cash-purchase and owned-vehicle buyers. The trigger fires 60–120 days before the purchase — usually after a $1,500+ repair bill or a major life event (kids, new job, move).

Life event New baby, new job, new house, retirement, kid turning 16. Each opens a vehicle CEP with a distinct vehicle-type bias (SUV for the new baby, fuel-economy commuter for the new job, downsizer for the retiree). The CEP is durable; the shopping window is 60–90 days; the shortlist forms inside it.

OEM model launch / refresh New model year, redesigned generation, EV variant launch. Manufacturer-driven CEPs that pull buyers into the category earlier than they would have shopped otherwise. Heavily mediated by YouTube reviews, automotive press, and AI answer engines — dealer-direct content rarely lands here.

Incentive trigger OEM 0% financing, end-of-model-year clearance, manufacturer rebate. Time-limited CEPs that compress the 90-day window into 30. The buyer who was “thinking about a truck someday” suddenly becomes a 30-day shopper. The dealer who is mentally available when the incentive lands wins; the dealer who is not loses to whoever the buyer already considered.

Each of these CEPs opens a 60–90 day research moment. The research moment is where the make, trim, and dealer shortlist is formed. The dealer search at month zero sits at the end of that research moment, not at the beginning of it.

The mediation layer

Where the 90-day window actually plays out.

The 90-day window is not a single channel. It is a fragmented sequence that the dealer auction at month zero cannot see. A typical 90-day window for an SUV buyer facing a lease maturity looks something like this:

At month minus three, the buyer notices the lease-end date on their portal and opens YouTube. They watch a 20-minute mid-size SUV comparison video and a couple of test-drive walkarounds for the front-runners. At month minus two, they ask ChatGPT or Perplexity “Should I lease the new RAV4 hybrid or the CR-V hybrid in 2026?” The AI engine returns a paragraph answer comparing the two on reliability, resale, and feature set, with citations to Edmunds and Consumer Reports. At month minus six weeks they start browsing inventory — not at a specific dealer’s site, but on Cargurus or AutoTrader, where listings from twenty dealers in their region appear in one feed sorted by price and distance. They notice a couple of dealer names that keep showing up at competitive prices. At month minus three weeks, they read Google reviews for those dealers, cross-reference on Reddit’s r/askcarsales, and narrow to a shortlist of two. Only at month minus one do they type a specific dealer’s name into Google or click an inventory-ad VDP for a specific stock number. By that point, the make is locked in, the trim is largely locked in, and the dealer shortlist is two stores deep.

Three things are happening in this sequence that the dealer’s VDP-view dashboard cannot see. First, OEM-controlled and third-party channels are doing the brand-availability work that the dealer used to do — the consumer’s “trusted” sources are now Edmunds, Consumer Reports, AutoTrader, Cargurus, YouTube reviewers, and AI engines, not the dealer’s own site. Second, AI answer engines now mediate the make-and-model decision for a growing share of buyers — if your dealership doesn’t serve a competitively reviewed make, the AI engine may never surface your store as an option. Third, the dealer search is the harvest, not the hunt — the buyer arrives at the auction with most of the decision made.

The implication for an auto marketing director or VP is straightforward. If your spend is concentrated at the bottom of the funnel (VDP impressions, dealer-name PPC, retargeting), you are paying full freight to convert buyers whose preference was set 60 days earlier by someone else’s content. The lift available from upstream investment — YouTube and CTV brand presence, third-party review-site optimisation, AI-engine visibility, OEM co-op alignment — is structurally larger than the lift available from a further point of VDP optimisation.

The investment frame

The 60:40 split, in a considered-purchase category.

The Binet and Field central tendency, derived from the IPA Effectiveness Databank across more than a thousand cases, is that the optimal long-run split between brand-building and sales-activation investment lands near 60% brand to 40% activation. The figure is a central tendency, not a prescription. It moves with category, brand maturity, and growth objective. In high-consideration categories like automotive, where the buying cycle is 60–90 days and brand recall during the consideration window is the dominant ranking factor, the brand share typically holds at 60:40 or rises further. The OEMs spend at this ratio or higher; the dealers under them spend nothing like it.

Most SMB and mid-market dealerships spend nothing close to 60:40. The realistic distribution typically sits closer to 85:15 or 95:5 toward activation — OEM co-op funding, third-party inventory listings, dealer-name PPC, and VDP-driven retargeting consume nearly all available budget. The brand half is not absent because dealers don’t value brand — many of the channels that build mental availability for a dealer in 2026 (YouTube test-drive content, CTV, geo-targeted brand video, OEM-aligned local social) cost less per attention-second of effect than the marginal VDP-view dollar — it is absent because the VDP-view dashboard reports numbers that look like real performance and the brand-availability work does not. The dashboard wins the budget meeting whether or not the dashboard is right.

The diagnostic question for the GM

Of every dollar your store spent last quarter, what share went to construction of mental availability during the next 60–90 days of consideration windows — and what share went to harvest of buyers whose shortlist was already formed? If the answer to the first half is below 20%, the store is structurally buying harvest from upstream work done by the OEM and the third-party reviewers, not building its own.

The dealerships that outperform their market over a five-year window almost always show a higher brand-share allocation than their peers, particularly in the YouTube/CTV/local-social mix where the 90-day window is mediated. Sharp’s work on penetration is consistent here: dealers grow by acquiring buyers from the much larger pool of category buyers who would have considered them if they’d been mentally available during the window. The dealer who waits for the buyer to search a store name has already missed most of the opportunity.

The convergence

AI visibility and OEM alignment are the same play.

The most useful conceptual move available to a dealer GM or marketing director in 2026 is to stop treating AI answer-engine visibility, OEM co-op alignment, and third-party review presence as separate disciplines. They are not. They are the same investment in mental availability during the 90-day window, expressed across the three surfaces that actually mediate the decision.

When a buyer asks ChatGPT or Perplexity “What’s the best mid-size SUV for a family of four in 2026?”, the AI engine returns the makes and models it has the strongest authority signals for — reviews on Edmunds, Cargurus, Consumer Reports, YouTube channels with high subscriber counts, and increasingly Reddit threads with high engagement. The dealer who has invested in being well-positioned across those surfaces (third-party inventory listings, OEM co-op content that surfaces on YouTube, local-review presence on Google and Yelp) is the dealer whose store gets named in the AI answer when the buyer then asks “Where in Windsor should I buy a 2026 CR-V hybrid?” The same authority signals that drive Answer Engine Optimization drive the brand-availability work that decides which dealer ends up in the shortlist when the buyer walks in.

The implication: a dealership that invests in named-author content (sales managers and finance managers as public figures), third-party review-site optimisation, OEM co-op alignment, and the technical scaffolding that makes its inventory extractable by AI engines is making a single investment that compounds across the entire 90-day window. A dealership that invests only in VDP optimisation is buying the harvest of someone else’s brand work — usually the OEM’s, sometimes a competitor’s.

The actions

Three moves a dealer can make this quarter.

If the diagnosis lands, three moves are immediately available. None of them require pausing the inventory-listing or PPC work; all of them sit upstream of it.

Audit your AI citation rate during the 90-day window queries.

Run 30 to 50 questions that match what buyers actually ask during their consideration window: “Best truck for towing under $60K,” “CR-V vs RAV4 in 2026,” “Most reliable mid-size SUV,” “Best Honda dealer in Windsor.” Log which makes, models, and dealer names are cited in ChatGPT, Perplexity, and Google AI Overviews. The output is a defensible mental-availability proxy across the surface that increasingly mediates the 90-day window. If your dealership doesn’t appear on dealer-name queries and your OEM’s competing models out-cite yours, that’s the structural problem the VDP dashboard cannot show.

Reallocate at least 15–20% of next quarter’s spend to upstream content mapped to the lease-maturity and aging-out CEPs.

Not all 60%. Not yet. A directional reallocation of 15 to 20 points of share, mapped specifically to the lease-maturity and vehicle-aging-out CEPs, is the largest move that is plausible inside one quarter and large enough to produce measurable mental-availability lift over the next 12 months. The brand half can sit in YouTube test-drive content with named sales-team faces, geo-targeted CTV pre-roll mapped to the lease-cycle calendar, OEM-aligned local social content, and creator partnerships with regional automotive YouTubers. None of this is the abstract dealer-creative work that has historically priced out small stores.

Stand up named team members as the public face of the store.

The most efficient brand-asset investment available to a dealer in 2026 is to pick 2–3 sales managers or finance managers and make them named, credentialed, recognisable voices on the dealership’s YouTube, social, and website surface. Walk-around videos with consistent talent. Reviews referencing specific team members by name. Person schema on the website. LinkedIn presence for each. This single move closes most of the E-E-A-T gap that AI engines need to cite your store, gives buyers a face to attach trust to before they walk in, and produces a brand-asset that compounds across both AI-surface visibility and traditional review trust. It takes a quarter to launch and a sustained year to compound.

None of these moves replace the inventory and VDP work. They make the VDP work cheaper. A store whose mental availability during the 90-day window is healthy buys VDP traffic at a discount; a store whose mental availability is empty pays a premium for every test-drive that converts. The strategic work is the cost-reduction work, performed at month minus three.

Primary sources

Where this brief comes from.

Referenced in this brief

Sharp, B. How Brands Grow: What Marketers Don’t Know. Oxford University Press, 2010.
Romaniuk, J. & Sharp, B. How Brands Grow Part 2: Including Emerging Markets, Services, Durables, New and Luxury Brands. Oxford University Press, 2016.
Romaniuk, J. Building Distinctive Brand Assets. Oxford University Press, 2018.
Binet, L. & Field, P. The Long and the Short of It. IPA, 2013.
Binet, L. & Field, P. Media in Focus: Marketing Effectiveness in the Digital Era. IPA, 2017.
Google. The Car Buying Process: Auto Industry Insights. 2024-2025 public research on digital auto buyer journeys.
Cox Automotive. Car Buyer Journey Study. 2025 annual report on time-to-purchase and channel attribution in dealer sales.
Search Engine Land. AI Overview citation source analysis. 2025 study on citation-source ranking distribution.

About this brief

Five questions readers ask.

The questions that come back from CMOs and brokers after they forward this brief up the chain.

Why does this brief say VDP optimisation isn’t enough for an auto dealer?

Because the make-and-shortlist decision is made 60–90 days before the VDP view. By the time a buyer is looking at a specific dealer’s inventory page, the make is locked in, the trim is largely decided, and the dealer shortlist is 1–3 stores deep. VDP optimisation moves the harvest; brand-availability work decides which stores end up in the shortlist in the first place.
What are “category entry points” for auto buyers?

The triggers that open the 90-day window — lease coming due, vehicle aging out, a new baby, an OEM 0% financing event, an end-of-model-year clearance. Dealers who are mentally available when the CEP fires get into the shortlist. Dealers who aren’t are invisible regardless of dealer-name PPC spend at month zero.
Does this apply to mid-market dealers, or only the big metro stores?

Mid-market and regional dealers, primarily. Major-metro mega-stores can outspend on inventory and OEM co-op funding; regional and mid-market dealers cannot — they have to earn the consideration window through 90-day-mediation work: YouTube content, AI-engine citations, third-party review presence, and named-team-member brand-availability.
What’s the action item?

A directional reallocation of 15–20 points of share from VDP-driven activation to upstream content mapped to lease-maturity and aging-out CEPs — not all 60% at once, but enough to produce measurable mental-availability lift over 12 months. The brief makes the case; the audit identifies where the store currently sits on that split, and the Google Ads audit reads what the VDP-traffic spend is actually buying.
How does this connect to the Signostic audit?

The audit answers where is the budget leaking in the funnel you control. This brief answers where is the shortlist forming above the funnel. Together they sequence: fix the VDP and inventory leak, then fund the missing 90-day-window work that decides whether the store is in the shortlist when the buyer is ready to buy.

Talk to the author

If a brief surfaces a question for your book — or you want to run the AI citation diagnostic on your top competitors — Chris Gardner reads every inquiry personally. Findings translate into strategy — execution runs through LocaliQ when you’re ready.