Module 1 · How answer engines decide · Lesson 3
Answer engines compared
ChatGPT, Gemini and Google's AI features, Perplexity, Claude and Copilot each find and show sources differently. Results from one do not transfer to another.
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In this lesson
- Know how each major engine tends to show its sources
- Understand why a result in one engine says little about another
- Choose which engines to track first for your audience
Each answer engine has its own index, its own way of deciding when to search and its own way of showing sources. A brand recommended in one can be absent from another for the same question. Track the engines your buyers actually use, check each one separately, and expect the details below to change: these products are updated often.
- Shows citations?
- Usually, when it searches
- Typical use
- General questions, research, comparisons
- What to check first
- Whether your pages appear as sources on searched answers
- Shows citations?
- Yes, linked sources
- Typical use
- Questions asked in Google Search
- What to check first
- That your key pages are indexed and eligible in Google Search
- Shows citations?
- Sometimes, when grounded in search
- Typical use
- Assistant-style questions
- What to check first
- How it describes your brand without a search
- Shows citations?
- Yes, prominently
- Typical use
- Research-style questions
- What to check first
- Which of your pages, if any, are read
- Shows citations?
- When web search is enabled
- Typical use
- Analysis, writing, research
- What to check first
- Accuracy of the brand description from model knowledge
- Shows citations?
- Yes, alongside answers
- Typical use
- Work and search questions
- What to check first
- Results grounded in a different index from Google's
The engines, one at a time
ChatGPT
ChatGPT answers from model knowledge and, when it decides a question needs current information or the user asks it to, searches the web. Searched answers usually carry links to their sources. Its crawlers are documented separately for search and for training, which matters in lesson 7.
Gemini, Google AI Overviews and AI Mode
Google's AI features sit on top of Google Search. AI Overviews appear above classic results for some queries and link to the pages they draw on. AI Mode is a conversational search experience with links in the answer. The Gemini assistant can also ground answers in Google Search. If your pages are not eligible for Google Search, they are unlikely to appear in these features.
Perplexity
Perplexity is built around search. Almost every answer is assembled from retrieved pages and shows its sources prominently, which makes it a useful place to see which of your pages, if any, are being read.
Claude
Claude answers from model knowledge and, where web search is enabled, from pages it retrieves, citing them in the answer. Whether search is on depends on the product and the user's settings, so the same question can behave differently for different people.
Copilot
Microsoft Copilot grounds many answers in web search and shows citations alongside them. It draws on a different search index from Google's, which is one reason results do not match across engines.
| Engine | Shows citations? | Typical use | What to check first |
|---|---|---|---|
| ChatGPT | Usually, when it searches | General questions, research, comparisons | Whether your pages appear as sources on searched answers |
| Google AI Overviews and AI Mode | Yes, linked sources | Questions asked in Google Search | That your key pages are indexed and eligible in Google Search |
| Gemini | Sometimes, when grounded in search | Assistant-style questions | How it describes your brand without a search |
| Perplexity | Yes, prominently | Research-style questions | Which of your pages, if any, are read |
| Claude | When web search is enabled | Analysis, writing, research | Accuracy of the brand description from model knowledge |
| Copilot | Yes, alongside answers | Work and search questions | Results grounded in a different index from Google's |
Why one result set does not transfer
Three things differ between engines: the index each one searches, the rules each one uses to decide when to search at all, and the sources each one tends to trust. A page that is well indexed in one search engine may be thin or missing in another. A brand that is well represented in training data may still lose a searched answer to a fresher page. That is why a single blended score across engines is less useful than a per-engine view.
When engines disagree about you
Disagreement between engines is a clue, not noise. If one engine describes you correctly and another does not, compare the sources each one shows. Often the wrong answer traces back to a single outdated page: an old directory listing, a stale review profile or a press article about a product you have since renamed. Fixing that source can correct more than one engine at once.
Worked example: Northwind Dental
Northwind asks its reception team which tools patients mention. Most say they searched Google; a few younger parents mention ChatGPT. Northwind tracks Google AI Overviews and ChatGPT first. In Google's answer it is mentioned through its map profile; in ChatGPT it is not mentioned at all for the same question, because the searched answer leans on a directory page where Northwind's listing is incomplete. Two engines, two different fixes.
Key takeaways
- Each engine has its own index, search rules and way of showing sources.
- A result in one engine says little about another; report engines separately.
- Start with the engines your buyers actually use, and re-check behaviour regularly because products change.
Practice task
Adds to your plan: How answer engines decide for us
- Ask five recent customers, or your sales and support teams, which assistants buyers mention.
- Pick two or three engines to track first and write one sentence on why each matters.
- Ask your top buyer question in each one and note how each shows its sources.
Knowledge check
Three questions. Pick an answer to see whether it is right and why.