Manufacturing and industrial
Automotive
Designing and building vehicles and their parts.
Four different buyers sit behind these businesses: a family choosing a compact SUV, a sourcing head opening a new platform, a fleet manager reviewing cost per kilometre, a workshop owner ordering a part. All four now ask a comparison question in plain language and act on the answer. The vehicle industry has almost no presence in those answers. Whoever wrote them gets the enquiry.
Where the answer is being lost
The comparison happens without you, and it happens first.
A fleet manager types “Which tyre gives the best cost per kilometre for commercial fleets” and gets a short answer with brands named and reasons attached. A sourcing head at an OEM asks the same kind of question about EV powertrain suppliers. Neither of them opens a browser tab afterwards; they open a shortlist. Indian automotive firms publish variant tables inside PDFs, part catalogues behind a dealer login and locators no machine can read. So the fleet order, the RFQ and the fitment decision go to whoever was named.
How we win this
The programme for automotive
Answer the ownership-cost question
Almost every buying question in this business is a cost question stretched over time: running cost per month, cost per kilometre, service interval spend, what a set lasts before replacement. Those answers exist inside your warranty data and field reports and nowhere on your website. We write them as answer-pages, with the figures you can stand behind and the conditions attached.
Get the part number out
An engine cannot match a query to a component it cannot see. Part numbers, OE cross-references, fitment tables and applicable models usually sit inside a dealer login or a scanned catalogue. We lift that into structured pages and schema, so a question about a specific model and year returns your part rather than a marketplace listing.
Show the tested figure
Automotive claims are checkable, which is an advantage if you publish and a liability if you exaggerate. Homologated mileage, tested tread life, validated durability hours, warranty terms as written. We publish the figure with its test condition beside it, then reinforce it through trade coverage, because that is what a fleet analyst or a supplier quality engineer looks for before believing it.
Take the unowned surface
Some of this ground is already occupied. OEM marketing runs on locked agency rosters, the big tyre brands own share of voice, and aftermarket demand arrives through a channel nobody controls. We do not compete for the brand campaign. We take the technical and comparative questions those budgets never cover, and we measure whether your name appears in the answers.
The mix that carries it
Content
Answer and comparison pages
Cost, process, eligibility and comparison pages built for direct extraction, not for a reader who scrolls.
Foundation
Entity and schema engineering
Structured data and entity definition so engines know exactly what you are, where you operate, and what you are credible in.
Content
GEO blogs and authority content
The definitive written answer to the questions your buyers put to an engine, structured so it can be lifted and attributed.
Content
Video and YouTube
Video run as a primary AI source, for the dense, entity-rich transcripts models read and quote.
Authority
Directories and profile consistency
Every listing, registry and profile saying the same thing, so the entity resolves to one business instead of three.
Foundation
Technical fixes
Crawlability, render, speed and the machine-readability faults that keep an engine from reading you at all.
The constraint we work inside
Two things bound what we publish here. Mileage, emission and safety figures can only be stated as homologated and tested, never improved for effect. And OEM programme names, part numbers under NDA and pending qualification work stay off the page until your customer clears them.
Specialisations
4 total
The pitch is different for each one, because the buyer, the trigger and the rules on what may be published are different for each one. Open the one that is yours.
A buyer six weeks from a purchase asks an engine “Which compact SUV has the lowest running cost in India” and gets an answer naming specific models, and yours is not among them.
The question deciding this today
“Which compact SUV has the lowest running cost in India”
- Who they sell to
- Vehicle buyers, fleets and dealers
- Who signs
- The buyer, fleet manager, or dealer principal
- What starts it
- Model launch, emission norm change, fleet renewal, festive season
- Cost of staying invisible
- Volume lost to a competitor who launched first
Your model pages are configurators. Price, variant and feature data loads through scripts, the brochure is a PDF, and the service cost table lives in a dealer system. An engine asked about running cost cannot read any of it, so it answers from owner forums, YouTube ownership reviews and auto portal comparison articles written by people who have never run your car for a year. Those sources become the recommendation. Your launch spend runs alongside the answer, not inside it.
What we would run
- 01Technical fixes
We fix what the configurator hides: server-rendered variant and price pages, brochure content as HTML rather than PDF, and a crawlable path to every trim. The specification stops being locked inside a JavaScript build.
Running cost answers are assembled from variant-level data. If the model site will not render, the engine builds its answer from whoever published a plain table.
- 02Entity and schema engineering
Each variant defined as an entity: engine, transmission, fuel type, homologated mileage, service interval, warranty term, on-road price by city. The range stops being a brochure and becomes a dataset that can be compared against a rival.
The comparison question is always model against model. Structured variant data is what lets an engine put yours inside the comparison rather than leaving it out.
- 03Answer and comparison pages
Ownership cost pages per model: the five-year service schedule with published labour and parts costs, insurance band, fuel or charging cost at stated conditions, resale position. Plus the variant-versus-variant page every buyer builds by hand today.
You are the only party who knows what your own five-year service schedule costs, and you have never published it. The engine therefore assembles a running cost figure from portal estimates and forum arithmetic, and someone else's guess about your car becomes the reason it is left out of the recommendation.
- 04AI Visibility Diagnostic
We put your real buying questions through the live models: lowest running cost, best mileage in the segment, safest car under a price band, and record which models are named and on what evidence.
Your in-house team measures campaign reach. Nobody is measuring whether the model is named in the answer that precedes the showroom visit.
- 05AI Presence tracking
Launch-window tracking: whether a new model enters the answers within weeks of reveal, which rival is named beside it, and which sources the engines cite to justify the recommendation.
A launch has a short window. If the answer set does not update inside it, the volume goes to the model that launched first.
What we would not recommend
- Instagram. Your agency roster already runs this well, and it is a brand surface. It does not answer a running cost question, so it earns no citation.
- Reviews and testimonials. Owner reviews sit with dealers and portals and cannot be steered by you. Engines already read them; testimonials added to a model page change nothing.
- Reddit. Owner communities discuss your cars constantly and will read brand participation as marketing. We would be an intruder in the thread we want cited.
What a lead looks like
A test drive request from someone who already knows the variant, the service cost across five years and why it beats the rival they were considering. They arrive at the dealership to confirm a decision, not to be sold one. Small fleet enquiries come the same way, quoting the running cost figures you published.
What we measure
- Model named in running-cost answers
- Every variant machine-readable at launch
- Answer inclusion inside the launch window
- Share of answer against the rival model
What changes
Every call now opens with a vehicle already named. A fleet manager quoting his own cost per kilometre on a Nashik run and asking for a trial on one route before he switches. A sourcing head with your machine list and approval status open, asking about PPAP timing for a platform being localised. A distributor asking for stocking terms because customers keep arriving with your part number written down. A buyer who walks into the showroom to confirm a variant rather than to be shown the range. The model, the route, the engine and year, the part number: the specifics are settled before the phone rings.
Start here
See who gets named in automotive today
We put your buyers' real questions to the live models and come back with the businesses they name, the sources behind those answers, and the gap between that list and yours.