Most people write AI prompts the same way they type into a search bar – a few keywords, minimal context, and a hope for the best. That approach worked fine for ten blue links. It falls flat with Google AI Mode and ChatGPT, both of which are built to reason through a request, not just match it.

The good news: better output isn’t about knowing secret commands. It’s about understanding how each tool actually processes your question, and giving it what it needs the first time instead of correcting it three replies later. This matters even more if you’re relying on AI to help with SEO services decisions, since a vague prompt can quietly steer you toward bad advice.

Here’s how to do that with both.

Start With a Framework, Not a Fragment

Before we get into what’s different between the two platforms, one habit fixes more bad output than anything else: structure your prompt around four things.

• Persona – who should the AI act as? (“You are an SEO analyst reviewing local service-business performance.”)
• Task – what specifically do you want done? (“Compare our GSC clicks for the last 90 days against the prior period.”)
• Context – what background does it need? (“This is for a Sydney electrician client focused on six underperforming suburb keywords.”)
• Format – how should the answer look? (“Output as a table: page, impression change, CTR change.”)

Compare: Weak prompt: “Check our SEO performance.”

Strong prompt: “You are an SEO analyst reviewing a Sydney electrician’s site. Compare GSC clicks for the last 90 days against the prior period. Flag any pages with rising impressions but falling CTR. Output as a table with page, impression change, and CTR change.”

The second version removes almost all guesswork. Vague prompts force the model to fill gaps with assumptions – and those assumptions are rarely the ones you’d have picked.

A few habits that apply everywhere:

• Don’t accept the first draft as final. Treat it as a starting point. Adjust one element at a time – tone, then length, then format – so you know exactly what each change is doing to the output.
• Use examples when format matters. If you need a very specific structure (a particular table layout, a specific report style), show the model one example rather than describing it in words. It replicates patterns faster than it interprets instructions.
• Stay consistent with your own terms. If you call something a “workbook” in your first message, don’t switch to “spreadsheet” halfway through – small inconsistencies force the model to re-interpret what you mean.

Where Google AI Mode Works Differently

AI Mode isn’t a smarter version of the search results page – it’s a different retrieval process entirely, and it’s a big part of why hybrid engine optimization has become its own discipline separate from traditional SEO. Instead of matching your query against an index of pages, it breaks your question into subtopics and runs multiple searches behind the scenes to build a synthesized answer. This changes how you should prompt it in a few concrete ways.

Ask full questions, not keyword fragments.

Typing “best SEO tools” pushes AI Mode toward a shallow, generic answer. Asking “what SEO tools are worth paying for if I’m managing local service-business clients with limited budgets” gives it enough to reason with – and produces a far more useful answer.

Go broad first, then narrow with follow-ups.

AI Mode holds context across a session, so each follow-up builds on what came before. Don’t try to cram everything into one mega-prompt. Ask the wide question first, then drill down:

1. “What’s changed in local SEO ranking factors this year?”
2. “How does that affect single-location service businesses specifically?”
3. “What’s the first thing I should fix on a client site based on that?”

This threading approach consistently outperforms one long, front-loaded prompt.

Stack multi-part questions in a single ask when they’re genuinely related.

AI Mode can compare and synthesize across criteria in one response – pricing, positioning, and audience for two competitors, for example – where a traditional search would take three separate queries. Use that. If your question naturally has two or three parts, ask them together.

Verify anything that matters.

Because AI Mode synthesizes from multiple sources into one narrative, it’s easy to lose track of what’s a fact versus an inference. For anything you’ll act on – a client recommendation, a statistic in a report – ask the same question a second, differently worded way and check whether the answers agree.

Where ChatGPT Rewards a Different Approach

ChatGPT tends to respond better to a more deliberate setup at the start of a conversation – closer to briefing a colleague than typing a search query. Teams using it to plan campaigns as part of a broader digital marketing strategy tend to get the most value once they treat it this way instead of as a search box.

Front-load the context once, then work within it.

Rather than repeating background information in every message, set it once: who you are, what the deliverable is for, any constraints. Then keep the conversation focused on iterating the output itself.

Be explicit about constraints you’d normally assume are obvious.

If content can’t be rewritten and only links can be inserted, say that directly in the prompt – don’t expect the model to infer client-specific rules like content preservation from context alone.

Use it to refine your own prompts.

If you’re not sure how to phrase a request, describe the outcome you want in plain language and ask ChatGPT to turn it into a sharper prompt. This is a legitimate step, not a shortcut – it often surfaces missing context you hadn’t considered.

A Quick Checklist Before You Hit Send

• Have I defined who the AI should act as?
• Have I stated the task as a specific action, not a vague ask?
• Have I given the context it needs to avoid guessing?
• Have I specified the output format?
• If this is AI Mode: is my question a full sentence, not a keyword fragment?
• If this is a multi-step task: should I split it into a broad question plus follow-ups?
• If accuracy matters: have I planned to verify the answer a second way?

The Bottom Line

Neither tool is “smarter” than the other – they’re built around different retrieval logic, and prompting them the same way leaves quality on the table. Google AI Mode rewards natural, full questions and conversational follow-ups because it’s reasoning across live search results. ChatGPT rewards a clear upfront brief because it’s working from a defined conversation frame.

Give either one clear direction instead of a fragment, and the output stops feeling like a guess – and starts feeling like something you can actually use.

Want more practical breakdowns like this? Check out the rest of our blog, or get in touch if you’d like help building an AI-ready content and SEO strategy for your own site.