Automotive competitive analysis

Find out who is actually taking your share.

Market-level intelligence on where your competitors rank, what they publish, and which of them AI engines name instead of you, scoped to your DMA and your inventory mix. Not a keyword tool export with your domain typed into it.

Your competitive set is not the one on the whiteboard.

Ask a dealer group who its competitors are and you get the answer the sales floor uses. The search data usually disagrees.

The sales answer is the store across town with the same franchise, because that is who shows up on trade appraisals and in lost-deal reports. That store is a real competitor for local and inventory queries. It is often irrelevant on the research and comparison queries that start the buying process weeks earlier.

Those queries are frequently owned by a regional group three markets over that publishes properly, or by an aggregator that no one at the store has ever counted as a competitor because it does not sell cars in the same sense. Both are absorbing demand before your name enters the process.

This is why the work starts by establishing the competitive set from data rather than accepting it. The wrong set produces a content plan aimed at a store that was never taking the traffic, which is an expensive way to be busy.

The set is scoped to the designated market area, segmented by OEM and model, and split by intent class, because the competitor who beats you on browse queries is often not the one who beats you on transact queries. How the intent classes break down →

Three competitor types
The store across town
Same brand, few miles away. Real on local and inventory queries, often absent upstream.
The regional group
Several markets over, publishes seriously, and outranks everyone on research and comparison.
The aggregator
Owns the top of the funnel outright and is usually not on anyone's list.

Most groups are defending against the first and losing to the other two. The data names which.

Three layers, and they answer different questions.

Each one exists to change a decision in the content plan. A layer that does not change a decision does not get run.

01

Rank-share view

Where competitors win queries you should also win, segmented by OEM, model, and intent class: browse, compare, transact. Segmentation is the point. A single blended visibility score hides the fact that you can lead on transact and be invisible on compare.

02

Content gap map

Topics competitors cover that you do not, with commercial weight scored against your actual stock. A gap on a model you do not carry is not a gap. This is what keeps content budget off demand the store cannot fill.

03

AI surface check

Which competitors AI engines cite when buyers ask the questions you want to own, and which URLs the engines pulled to justify it. Run repeatedly against a fixed prompt set, because a single generated answer proves nothing. How citation is measured →

The output is a decision, not a report.

Competitive analysis is not a standalone deliverable at VulcanAX. It exists to tell the content plan what to do next, and it is judged on whether it changed the plan.

Everything here lands in the monthly content plan rather than in a separate slide deck. How the plan gets built → For the full list of what an engagement produces, see the deliverables breakdown.

Common questions about competitive analysis.

What is competitive analysis in automotive SEO?

Market-level intelligence on where competitors rank, what they publish, and where the gaps are inside a specific DMA. It is not generic keyword research. The competitive set is defined by who is taking share from you in that market today, and every gap is weighted against vehicles you actually sell rather than against national search volume.

Who are a dealership's real SEO competitors?

Frequently not the store the sales team names. Three types show up: the same-brand dealer a few miles away, competing on local and inventory queries; the regional group several markets over that outranks everyone on research and comparison; and the aggregators that own the top of the funnel outright. The third is the one most groups have never counted as a competitor, and it is often absorbing the most demand.

What is a content gap map?

An inventory of the topics competitors cover that you do not, with commercial weight scored against your own stock. A gap on a model you do not carry is not a gap worth closing. The map exists to keep content budget off demand the store cannot fill, which is the most common way dealer content programs produce rankings that never convert.

How do you check which dealers AI engines recommend?

By running a fixed set of real buyer-intent prompts for your market against each engine, repeatedly, and recording which businesses get named, how consistently, and which URLs the engine cited. AI answers are non-deterministic and personalized, so a single check proves nothing; the signal is frequency across repeated runs. The cited-URL field is usually the most actionable part.

How often should this be redone?

The full competitive set is established at engagement start and revisited quarterly, because dealer competitive sets move more slowly than most markets. The AI surface check runs on the standard reporting cadence, monthly at Core and biweekly at Compete and Command, because citation behavior moves faster than ranking behavior and a quarterly snapshot would miss it.

Is competitive analysis charged separately?

No. It is included in the published tier price: $1,165 per rooftop per month at Core, $1,615 at Compete, $2,425 at Command, with a banded volume discount for groups (10% off at 2–3 rooftops, 20% at 4–7, 28% at 8–14, 32% at 15+) and a flat one-time onboarding fee charged once per group. It is not sold standalone, because its only job is to decide what the content plan does next. Full pricing →

See who the engines name instead of you.

The baseline audit runs your market's real buyer prompts against each engine and reports which competitors come back. For most groups the names on that list are not the ones they have been defending against.

Request a baseline audit

See where your group actually stands.

Send a domain and get back what ChatGPT, Perplexity, and Google AI Overviews say when a buyer in your market asks which dealer to use. Free, two fields, no sales call.