Guides
Questions people ask before they call
Straight answers on cost, timelines, what an AI consultant does and whether you need one.
How much does an AI SEO agency cost in Australia?
Australian SEO agencies charge about $1,500 to $6,000 a month for a small business retainer, and more than $10,000 a month for enterprise work. AI SEO at Zinto is priced as a fixed setup, typically $8,000 to $25,000. A monthly production loop of $2,000 to $6,000 then runs until your own team takes over.
How do I choose an AI SEO agency?
Choose an agency that can show you a site it grew from zero, with the Search Console behind it. Ask how it measures citations in AI answers and which tool it uses. Ask for the written rules its AI content follows and who reads each page before it publishes. Walk away from anyone who guarantees a ranking.
How do I get cited by ChatGPT and Google AI Overviews?
Answer the exact question your customer asks in the first two sentences under a question heading. State facts with a source. Keep the page inside a cluster that covers the topic in depth. Add FAQ and Article structured data, and make sure robots.txt does not block GPTBot, Google-Extended or PerplexityBot. Then measure the citations in Ahrefs.
What is AI SEO?
AI SEO has two meanings. Using AI to produce search content faster, under rules that keep it accurate. And structuring pages so AI answer engines such as ChatGPT, Gemini and Google AI Overviews cite them. Good AI SEO does both at once, because the same plain, well sourced page ranks in Google and gets lifted into AI answers.
What is the difference between SEO, AEO and GEO?
SEO gets a page ranked in Google's list of results. AEO, answer engine optimisation, gets a passage lifted into a featured snippet or an AI Overview. GEO, generative engine optimisation, gets a page cited by ChatGPT, Gemini or Perplexity. On the page they need the same things, so treat them as one job with three names.
How is AI used in procurement? Examples and use cases
AI in procurement, for a mid-sized business, mostly means automating the document work between a request and a paid supplier. Matching invoices to purchase orders and catching price variances. Drafting purchase orders from site requests. Choosing suppliers from your own performance and pricing history. Reading and chasing supplier compliance documents. Comparing quotes against a scope. Generative AI made the document reading possible. A person still approves the result.
How do I evaluate AI vendors for procurement?
Evaluate AI procurement vendors on five things. Whether they worked with businesses your size and in your industry. Whether the product reads from and writes to the systems you already run. Where your data goes and whether the model trains on it. Whether pricing is clear before you start. And whether they can name a client whose deployment is a year old and still in use. For most mid-sized businesses, a build around the existing ERP beats an enterprise platform.
How do I use AI in construction estimating?
Start by getting your cost history into one usable place, because AI estimating is only as good as the pricing it draws from. Then automate the first pass, quantities from drawings and rates from your own won jobs, in your template. If your work is common and your pricing simple, use AI estimating software like Buildxact or CostX. If your pricing logic, client formats or cost catalogues are specific to you, build on your own data. The estimator reviews every estimate either way.
Should I hire an AI consultant or build an in-house team?
For most businesses under about five hundred staff, a consultant to find and build the first two or three automations beats a full in-house AI team. Add one internal operator who can run them. A dedicated in-house hire only makes sense once there is a steady stream of work to keep them busy.
Can AI do construction estimating and job quoting?
AI can produce the first pass of a construction estimate or trade quote. It can draft quantities from drawings, pull pricing from your own job history and supplier lists, and put the result in your template. It cannot own the number. A good setup has the estimator or owner reviewing every quote, spending their time on risk and pricing judgement instead of measuring and retyping.
How long does an AI consulting project take?
A first AI consulting engagement for a small or mid sized business typically takes eight to fourteen weeks. That runs from the intro call to a first automation in production. Discovery takes two to four weeks, the roadmap about a week, and the first build four to eight weeks. Projects run long when the inputs are messier than expected or nobody inside the business owns the exceptions.
How much does AI consulting cost in Australia?
In 2026, senior AI consultants in Australia charge roughly $1,500 to $3,500 a day. A workflow audit or AI roadmap usually costs $1,000 to $10,000, a single automation build $5,000 to $40,000, and a multi-workflow program $50,000 to $150,000. Independents cost less than boutiques, which cost less than large firms.
How do I choose an AI consulting firm?
Choose an AI consulting firm with work in your industry behind it, one that will sit with the people doing the work before quoting. It prices each stage fixed and takes no vendor referral fees. It can name a client whose project is still running a year later. Be wary of anyone who recommends AI for every problem or quotes a build before discovery.
Is AI consulting worth it for a small business?
AI consulting is worth it for a small business when a few people spend ten or more hours a week each on repeated admin. The inputs must be consistent, and the business must already run systems worth connecting to. It is usually not worth it under about ten staff, or when an off the shelf product already solves the problem well.
What does an AI consultant do?
An AI consultant works out where AI can remove hours or errors from your business and decides which of those opportunities are worth the money. They either build it or supervise whoever does. A good one also tells you when the answer is a process fix or an off the shelf product rather than anything custom.
What is generative AI consulting and do I need it?
Generative AI consulting is advice and implementation around tools that read, write and summarise language, such as large language models. In practice that means automating work built on documents and messages. Quoting, invoice coding, order entry, customer replies and finding answers in your own records. You need it if a few people in your business spend their week doing that kind of work by hand.
Next step
Bring the workflow that annoys you most. We will tell you whether it is worth automating and roughly what it costs.