Organise prompts around purchasing decisions
We interview sales and technical staff about supplier selection, model comparison, applications, price enquiries and parts purchasing. Each prompt records the category, market, buyer role, decision stage and supporting evidence needed. Countries, working conditions and delivery requirements give the question enough context to assess the page content.
Record brands and sources appearing in answers
For agreed ChatGPT, Gemini and Google AI Overview environments, we record the date, language, region, mode, full prompt, companies mentioned and cited URLs. We assess 2–3 competitor sites to understand the model information, project evidence and service detail they provide. Queries that do not produce an AI Overview are retained in the record.
Answers can change. Repeated observations use consistent conditions and dated samples. Brand mentions, page citations, site visits and actual enquiries are recorded separately. Each subsequent content task identifies a specific missing or unclear piece of information.
Use model comparisons to test the depth of the material
SANY’s public SR155-C10 and SR285R-C10 pages list maximum pile diameters of 1500 mm and 2300 mm respectively. A useful comparison also needs transport, site and tooling information, plus the location, ground conditions, pile diameter, depth and configuration required for a quotation. Client projects use the models the business supplies and its technical material. Tables, explanations and source literature should agree.
Improve equipment pages and company information
We connect questions with model pages, application notes, parts fitment, company introductions, credentials and support areas. Specifications retain their conditions; project photographs explain the location and task; cases identify the period and actual outcome. Google AI search relies on its search index and relevant pages, so accessible content, clear links and accurate page information remain part of the work.
Share the plan with keyword research and social publishing
The 200 target terms describe how buyers search, while purchasing prompts describe how they compare and follow up. A page explaining pre-transport checks for a drilling rig can support a LinkedIn project-preparation post and a Facebook shipment update, both linking to the model or transport material. The operating standard is 4 posts and 8 placements across the two platforms per month.
Explain evidence and the next changes every month
Reports cover prompt samples, brand mentions, cited pages, identifiable AI referrals, form enquiries and completed page work. We review available generative AI performance reporting in Search Console alongside GA4 sources. Enquiries with direct or missing attribution retain their actual recorded source. Quarterly online meetings identify questions answered more fully and the photography, explanations or documents needed next.
Information your team provides
We need current literature, target markets, certificates, factory and project photography, actual after-sales coverage, sales questions and publishable cases. Technical staff confirm specifications; sales confirms purchasing and delivery conditions. We turn the material into pages, editorial tasks and social topics, retaining sources for future updates.
Model specifications and content example
These published specifications illustrate product-information work. Client projects use their actual models and configurations.
| Brand and model | Specification | Published value |
|---|---|---|
| SANY SR155-C10SANY Global / China Stage III configurationManufacturer source | Maximum pile diameter | 1,500 mm |
| Maximum pile depth (published pair) | 55 / 44 m | |
| Rated output torque | 155 kN·m | |
| Engine power/speed | 147 kW / 2,100 rpm | |
| Operating weight | 48 t | |
| SANY SR285R-C10SANY Global / China Stage III configurationManufacturer source | Maximum pile diameter | 2,300 mm |
| Maximum pile depth (published pair) | 94 / 61 m | |
| Rated output torque | 285 kN·m | |
| Engine power/speed | 300 kW / 1,800 rpm | |
| Operating weight | 100 t |
SANY SR155-C10：Maximum depth retains the OEM's 55/44 m pair and depends on Kelly-bar configuration. Bored foundation piles; selection content should connect ground conditions, diameter, depth and Kelly-bar configuration.
SANY SR285R-C10：Maximum depth retains the OEM's 94/61 m pair; selection also considers ground and tooling. A reference for larger-diameter, deeper foundations, requiring ground investigation and tooling information alongside machine size.
Sources checked: 2026-09-21 · Published models illustrate specification and content work. Client projects use the models and documents in the client’s actual range.
Purchasing prompts to use in content planning
| Decision | Complete example prompt | Supporting material |
|---|---|---|
| Supplier selection | I am sourcing a rotary drilling rig for Southeast Asia. Explain which factory capabilities, product documents, tooling support, spare-parts supply and project experience I should verify, with sources. | Company, credentials, project, parts and support pages |
| Model comparison | Compare the published maximum pile diameters of the SANY SR155-C10 and SR285R-C10. What further documents are needed to assess transport, tooling and application suitability? Distinguish published figures from points requiring supplier confirmation. | Model data, source brochures, transport and configuration information |
| Quotation preparation | For a rotary drilling rig delivered to a specified port, what equipment options, tools, spares, transport and trade terms should a quote include? What foundation-project information should I supply? | Quotation guidance, configuration list and enquiry form |
| Parts fitment | When buying a Kelly bar for an existing drilling rig, how should machine identification, connection dimensions, bar specifications and ground conditions be used to confirm fitment? List the photographs and technical documents required. | Parts dimensions, fitment information and document-enquiry route |
From service discovery to equipment enquiries
| Visitor and entry point | Page purpose | Next step |
|---|---|---|
| Equipment company searching for construction equipment GEO services | This page explains prompts, page work and reporting | Read the relevant industry example and submit the company URL |
| Overseas buyer comparing machines in an AI tool | Your model and application material supports the research | Follow a citation or search the brand to reach your website |
| Buyer reading a LinkedIn technical post | The relevant page provides complete specifications and project context | Submit configuration, location and contact details |
| Buyer checking a supplier | Company, case and support details form a consistent record | Send an enquiry the sales team can follow up |
Execution sequence and deliverables
| Stage | Work | Output |
|---|---|---|
| Week 1: material and questions | Interview sales and organise markets, product evidence and buying stages. | Source library and initial prompts |
| Week 2: observation | Record AI samples under consistent conditions and assess 2–3 competitor/source sites. | Question, answer and source log |
| Weeks 3–4: page work | Improve model, application, parts and company content alongside the 200-term keyword plan. | Updated URLs and completion record |
| Every month | Refresh observations, channel visits and enquiries; publish 4 posts in 8 placements. | GEO operating report |
| Every quarter | Discuss brands, citations, visits and sales feedback; update priority questions and content. | Quarterly content plan |
What you receive
- Prompt library by category, market and purchasing stage
- ChatGPT, Gemini and Google AI Overview observation records
- Review of 2–3 competitors and cited source pages
- Equipment, application, parts, company and support page changes
- Keyword, page and social-topic mapping
- Monthly citation and source report; quarterly online review
Common questions
Where does a GEO project begin?
With the product range and target market, followed by buying questions and available evidence. Observations lead to specific content work such as document versions, fitment conditions or project explanations.
Does AI search require a special page format?
Pages are written to be understandable and discoverable. Google AI search has no dedicated schema or llms.txt requirement. Structured data follows the page type and visible facts.
How do you distinguish mentions from leads?
Reports separate observed brand mentions, cited URLs, identifiable referrals and stored enquiries. Sales-qualified opportunities are recorded with your team’s follow-up evidence.
References: Google Search Central: AI search optimization / Google Search Central: structured data / SANY SR155-C10 official specifications / SANY SR285R-C10 official specifications