The New Discovery Layer

AI recommendation as a seller acquisition channel

Andrew McGregor

June 2026 · Internal Proposal

A new acquisition surface is forming

Search is no longer the only discovery layer.

Increasingly, customers ask AI systems directly which company they should trust, use, or buy from.

This creates a recommendation surface that influences acquisition before a user reaches Google or a company website.

This affects acquisition. It affects brand visibility. It affects future growth.

Why this matters now

  • AI assistants increasingly answer recommendation and comparison questions directly.
  • Google has integrated AI-generated answers into search through AI Overviews.
  • Recommendation engines increasingly influence decisions before users reach a website.
  • Brands not included in recommendation sets risk losing visibility at the earliest stage of acquisition.

The question is no longer whether AI influences discovery.
The question is whether Motorway is visible when it does.

How AI recommendations form

Model knowledge

Periodic updates from Wikipedia, editorial sites, Trustpilot, Reddit, forums. Influences brand perception at a foundational level.

Retrieval layer

Real-time web search. Pulls from Bing index, OpenAI's own crawler, other providers. Influences live recommendations.

AI answers typically surface 2–3 providers. Recommendation slots are scarce — brands not named are effectively invisible at that decision point.

What determines AI visibility

0.664

Correlation between brand web mentions and AI recommendation visibility

0.218

Correlation for backlinks (traditional search ranking factor)

Being talked about matters 3× more than being linked to. The economics of visibility are different from traditional search.

Source: Ahrefs study (75,000 brands, December 2025)

Where recommendation signals come from

40%

of AI-cited results reference community discussion platforms

High-trust discussion ecosystems (Reddit, forums, reviews) are heavily weighted as recommendation sources.
When r/CarTalkUK discusses "best way to sell my car?" — is Motorway part of that conversation?

Source: Searchable.com research, 2025

The decision moments that matter

Real prompts sellers are asking AI systems today:

"What's the best way to sell my car in the UK?"
"What's the easiest way to sell my car?"
"Should I use Motorway or WeBuyAnyCar?"
"How can I get the best price for my car?"
"What is the safest way to sell a used car?"

If Motorway is not named in the response, that seller never enters our funnel.

Where Motorway appears today

Illustrative recommendation visibility snapshot

PromptChatGPTGeminiPerplexityGoogle AI Overview
Best way to sell a car in the UK?
How can I get the best price for my car?
Motorway or WeBuyAnyCar?
Fastest way to sell a used car?
Safest way to sell a used car?

Industry research is useful. Acquisition decisions are driven by actual visibility.
The first step is establishing a baseline and tracking share of recommendation over time.

Motorway's current position

✓ Strengths

  • Wikipedia page exists
  • Strong comparison content
  • 750k+ cars sold
  • Trustpilot presence
  • Editorial coverage

✗ Gaps

  • Weak in discussion platforms
  • Retrieval indexing unverified
  • AI crawlers potentially blocked
  • Content is marketing-first
  • No original data published

Why Motorway is unusually well positioned

  • Proprietary auction data — real transaction prices, time-to-sell, demand by model. Unreplicable.
  • Transaction scale — 750k+ completed sales create a unique source of market insight that can be converted into citation-worthy content.
  • Brand authority — Wikipedia, Trustpilot, editorial coverage already establish trust signals.
  • Content footprint — existing comparison and guide pages provide a foundation.
  • Engineering capability — technical changes can be shipped internally, no external dependency.

Motorway has assets that are difficult for competitors to replicate and can become primary sources for future AI recommendations.

Building the channel — immediate actions

0 to 3 months — enable visibility

  • Ensure AI systems can access content — audit and resolve any crawler restrictions
  • Restructure key pages — answer-first content on high-intent seller pages
  • Structured data — ensure key pages are well-represented for retrieval
  • Indexing audit — confirm visibility across major retrieval providers

Engineering effort: days, not weeks. No new hires required.

Building the channel — proprietary advantage

3 to 6 months — create defensible content

  • Original data publishing — monthly reports from Motorway auction data (average prices, time-to-sell, regional trends). These become cited sources.
  • Community presence — genuine participation in high-trust discussion platforms. Helpful answers, not marketing.
  • Comparison content — genuinely balanced, not promotional. Recommendation systems disproportionately surface neutral comparison content.

Building the channel — sustained visibility

6 to 12 months — maintain and measure

  • Wikipedia maintenance — accurate, cited, comprehensive. Likely the single most-consumed description of Motorway across all AI systems.
  • Recommendation monitoring — weekly tracking across all major AI systems. Measure share-of-recommendation over time.
  • Editorial strategy — MoneySavingExpert, Which?, Guardian motoring. High-authority sources that feed recommendation systems.

This is a capability, not a campaign

Existing ownership

  • Marketing owns rankings
  • Product owns seller journeys
  • Engineering owns infrastructure
  • Analytics owns measurement

The ownership gap

  • AI visibility cuts across all four
  • Requires coordinated experimentation
  • Must be measured continuously
  • Recommendation surfaces evolve fast

No existing function naturally owns AI recommendation visibility. Without clear ownership the work becomes fragmented.
This should be treated as an ongoing acquisition capability rather than a time-limited project.

Why ownership must remain internal

  • Proprietary marketplace data is Motorway's strongest strategic asset.
  • AI visibility depends on decisions spanning content, engineering, analytics and product.
  • Effective optimisation requires deep understanding of seller behaviour and acquisition economics.
  • External partners may support execution, but ownership of the capability must remain internal.

The advantage comes from combining proprietary data, product understanding and operational ownership.

What happens next

First 90 days

Month 1

  • Establish visibility baseline
  • Audit crawler access
  • Identify key seller prompts
  • Create reporting framework

Month 2

  • Technical visibility fixes
  • Answer-first content priorities
  • Competitor tracking begins

Month 3

  • First proprietary content live
  • Ongoing monitoring cadence
  • First visibility report

The objective is not perfection. The objective is establishing measurement, ownership and momentum.

The cost of waiting

AI recommendations are self-reinforcing.

Brand gets recommended → more traffic → more reviews → more mentions → recommended more often.

Competitors who establish presence early accumulate compounding advantage. WeBuyAnyCar and Carwow may already be building this position.

Recommendation positions harden over time. Early visibility creates structural advantage.

The commercial frame

If AI-mediated discovery captures even 5% of "sell my car" decision volume within 12 months...

...and Motorway is absent from those recommendations...

That's a measurable seller acquisition gap — and a compounding one,
because recommendation positions harden as these systems mature.

Recommendation

AI-mediated discovery is emerging as a meaningful acquisition channel.

Motorway already possesses the assets needed to compete effectively:

  • Proprietary marketplace data
  • Brand authority
  • Existing content footprint
  • Internal engineering capability

The investment required to establish capability is modest. The cost of waiting increases as recommendation ecosystems mature.

Establish AI visibility as an owned internal capability and begin measurement, optimisation and reporting next quarter.

Questions?

@Andy on Slack