What I learned after analyzing “How People Use ChatGPT” (2025)

[ibetseo]

Hi brothers & sisters,

Recently, ChatGPT released their own report on “How People Use ChatGPT.” I went through it and found some insights that I think our SEO community can actually apply. Instead of the usual “how to use ChatGPT” tips, this is about what the usage data really means for.

I recommend you guys read the official PDF How People Use ChatGPT and research it on your own - you’ll gain even deeper insights beyond what I’ve shared here: https://cdn.openai.com/pdf/a253471f...42e/economic-research-chatgpt-usage-paper.pdf

1) Info Moves Upstream​

- What the data says: “Seeking Information” grew fast and now rivals “Writing.”
- Why it matters: Buyers may ask ChatGPT instead of Google for quick facts, definitions, comparisons.
- Do this: Publish Answer Pages with:

• 1–2 line definition
• 3–5 key facts (with numbers)
• When to use / when to avoid
• Compare box (X vs Y vs Z)
• Next steps (1–2–3)
• Copyable source URLs

2) Editing Wins​

- What the data says: ~2/3 of writing tasks are editing/critique/translate/summarize.
- Why it matters: People don’t want walls of AI text — they want fixes.
- Do this:

• Short paragraphs, headings, bullets, tables
• Show Before/After edits in your content
• Build pages that are easy to refine

3) Decisions > Length​

- What the data says: At work, people focus on documenting, interpreting, deciding/solving.
- Why it matters: Users want “What should I do next?”, not 2,000-word lectures.
- Do this: Add a Decision Block at the end of money pages:

• If beginner → A → B → C
• If low budget → Choose X
• If fastest setup → Choose Y
• If best quality → Choose Z

4) Comparisons = Cheat Code​

- What the data says: Info-seeking often means comparing options.
- Why it matters: Comparison pages copy well into chats and rank well in SERPs.
- Do this: For every product/category, ship X vs Y pages with:

• Quick verdict (1–2 lines)
• Table: Feature | X | Y | Notes
• Who should pick which
• 3 trade-offs
• Full source URLs

5) Format > Fluff​

- What the data says: Practical guidance + info seeking dominate.
- Why it matters: Structure beats filler for both models and humans.
- Do this:

• Use tables for specs/prices/pros/cons
• Bullets for steps
• Numbers in text (not images)
• Always plain-text URLs (easy to copy)

6) Write for Work Use​

- What the data says: Writing is #1 at work, but “Asking for guidance” is growing and rated higher.
- Why it matters: Decision-makers want summaries + options + risks.
- Do this:

• 3 options with trade-offs
• Include risks/assumptions
• 90-day plan where relevant

7) Follow Growth​

- What the data says: Growth is strongest in younger users + lower/mid-income countries; work use rises with education.
- Why it matters: Localized, mobile-first sites can scale fastest.
- Do this:

• Make lightweight, mobile-first pages
• Add local payment methods and examples
• Short how-to pages for beginners + decision-ready guides for

 

[Tommy_account]

The most profound problem that all AI models face today is that they hallucinate. In other words, sometimes they do not tell the truth, but invent their own sources and distort the actual query. It's not about power or the amount of computing memory. Over time, when AI fully parses the entire web, we will get tools that can distort real facts. People are gradually getting used to the bare minimum: now, instead of teaching them how to “google,” we teach them how to use GPT. And the most interesting thing about this cycle is that people use it knowingly for all the processes that come to mind: from trivial information searches to creating custom products.

Can you imagine that in 5-10 years, we will have a generation that will only know about the world what AI has given them? If we look now at how different agents hallucinate, imagine what will happen next and what this generation will be like.
I apologize for changing the format of the post, but you just gave me some though-food

 

[ibetseo]

The most profound problem that all AI models face today is that they hallucinate. In other words, sometimes they do not tell the truth, but invent their own sources and distort the actual query. It's not about power or the amount of computing memory. Over time, when AI fully parses the entire web, we will get tools that can distort real facts. People are gradually getting used to the bare minimum: now, instead of teaching them how to “google,” we teach them how to use GPT. And the most interesting thing about this cycle is that people use it knowingly for all the processes that come to mind: from trivial information searches to creating custom products.

Can you imagine that in 5-10 years, we will have a generation that will only know about the world what AI has given them? If we look now at how different agents hallucinate, imagine what will happen next and what this generation will be like.
I apologize for changing the format of the post, but you just gave me some though-food

100% Hallucination is the core risk, sometimes i think as an SEO our job is to design for verification, not blind trust.

But i don't think people will stop using GPT,

How would you design for proof?

Citations as full URLs

Compare tables instead of prose

Uncertainty labels

Retrieval > recall

What would you add? This is not an easy answer for us

 

[CampData]

Hi brothers & sisters,

Recently, ChatGPT released their own report on “How People Use ChatGPT.” I went through it and found some insights that I think our SEO community can actually apply. Instead of the usual “how to use ChatGPT” tips, this is about what the usage data really means for.

I recommend you guys read the official PDF How People Use ChatGPT and research it on your own - you’ll gain even deeper insights beyond what I’ve shared here: https://cdn.openai.com/pdf/a253471f...42e/economic-research-chatgpt-usage-paper.pdf

1) Info Moves Upstream​

- What the data says: “Seeking Information” grew fast and now rivals “Writing.”
- Why it matters: Buyers may ask ChatGPT instead of Google for quick facts, definitions, comparisons.
- Do this: Publish Answer Pages with:

• 1–2 line definition
• 3–5 key facts (with numbers)
• When to use / when to avoid
• Compare box (X vs Y vs Z)
• Next steps (1–2–3)
• Copyable source URLs

2) Editing Wins​

- What the data says: ~2/3 of writing tasks are editing/critique/translate/summarize.
- Why it matters: People don’t want walls of AI text — they want fixes.
- Do this:

• Short paragraphs, headings, bullets, tables
• Show Before/After edits in your content
• Build pages that are easy to refine

3) Decisions > Length​

- What the data says: At work, people focus on documenting, interpreting, deciding/solving.
- Why it matters: Users want “What should I do next?”, not 2,000-word lectures.
- Do this: Add a Decision Block at the end of money pages:

• If beginner → A → B → C
• If low budget → Choose X
• If fastest setup → Choose Y
• If best quality → Choose Z

4) Comparisons = Cheat Code​

- What the data says: Info-seeking often means comparing options.
- Why it matters: Comparison pages copy well into chats and rank well in SERPs.
- Do this: For every product/category, ship X vs Y pages with:

• Quick verdict (1–2 lines)
• Table: Feature | X | Y | Notes
• Who should pick which
• 3 trade-offs
• Full source URLs

5) Format > Fluff​

- What the data says: Practical guidance + info seeking dominate.
- Why it matters: Structure beats filler for both models and humans.
- Do this:

• Use tables for specs/prices/pros/cons
• Bullets for steps
• Numbers in text (not images)
• Always plain-text URLs (easy to copy)

6) Write for Work Use​

- What the data says: Writing is #1 at work, but “Asking for guidance” is growing and rated higher.
- Why it matters: Decision-makers want summaries + options + risks.
- Do this:

• 3 options with trade-offs
• Include risks/assumptions
• 90-day plan where relevant

7) Follow Growth​

- What the data says: Growth is strongest in younger users + lower/mid-income countries; work use rises with education.
- Why it matters: Localized, mobile-first sites can scale fastest.
- Do this:

• Make lightweight, mobile-first pages
• Add local payment methods and examples
• Short how-to pages for beginners + decision-ready guides for

Thanks for this, very interesting.
Keen to share examples of 1 and 6 ?

 

[ibetseo]

Thanks for this, very interesting.
Keen to share examples of 1 and 6 ?

Thanks for your support man!

Yes sure, i will take online casino for the sample, since it's my niche:

1) Players increasingly ask ChatGPT for definitions and comparisons instead of Googling. Example queries: Free spins vs cashback bonus?

To capture this, we’d build Casino Answer Pages with:

• 1–2 line definition (“A no deposit bonus is…”)
• 3–5 key facts (e.g. wagering requirements, max cashout, availability by country)
• Comparison box (Free Spins vs Cashback vs Deposit Bonus — quick verdict on who should choose what)
• When to use / avoid (great for beginners, avoid if you want instant withdrawals)
• Plain-text source URLs (easy for players to share)

6) Decision-making matters most when players choose a site. Instead of 2,000-word reviews, we’ll design decision-ready guides:

Example: “Best Online Casino Malaysia 2025”

• Option A: Big brands (12Play, BK8) → trusted, but stricter KYC
• Option B: New casinos → bigger bonuses, but higher risk
• Option C: Crypto casinos → fastest payouts, but niche games only
• Risks & assumptions (delayed withdrawals, bonus traps, regulation changes)
• 90-day plan for new players (Sign up → Claim bonus → Test withdrawals → Scale up bankroll safely)

This way, content doesn’t just “rank” - it actively guides players like a decision doc.

 

[Marco69]

The most profound problem that all AI models face today is that they hallucinate. In other words, sometimes they do not tell the truth, but invent their own sources and distort the actual query. It's not about power or the amount of computing memory. Over time, when AI fully parses the entire web, we will get tools that can distort real facts. People are gradually getting used to the bare minimum: now, instead of teaching them how to “google,” we teach them how to use GPT. And the most interesting thing about this cycle is that people use it knowingly for all the processes that come to mind: from trivial information searches to creating custom products.

Can you imagine that in 5-10 years, we will have a generation that will only know about the world what AI has given them? If we look now at how different agents hallucinate, imagine what will happen next and what this generation will be like.
I apologize for changing the format of the post, but you just gave me some though-food

Thanks for your support man!

Yes sure, i will take online casino for the sample, since it's my niche:

1) Players increasingly ask ChatGPT for definitions and comparisons instead of Googling. Example queries: Free spins vs cashback bonus?

To capture this, we’d build Casino Answer Pages with:

• 1–2 line definition (“A no deposit bonus is…”)
• 3–5 key facts (e.g. wagering requirements, max cashout, availability by country)
• Comparison box (Free Spins vs Cashback vs Deposit Bonus — quick verdict on who should choose what)
• When to use / avoid (great for beginners, avoid if you want instant withdrawals)
• Plain-text source URLs (easy for players to share)

6) Decision-making matters most when players choose a site. Instead of 2,000-word reviews, we’ll design decision-ready guides:

Example: “Best Online Casino Malaysia 2025”

• Option A: Big brands (12Play, BK8) → trusted, but stricter KYC
• Option B: New casinos → bigger bonuses, but higher risk
• Option C: Crypto casinos → fastest payouts, but niche games only
• Risks & assumptions (delayed withdrawals, bonus traps, regulation changes)
• 90-day plan for new players (Sign up → Claim bonus → Test withdrawals → Scale up bankroll safely)

This way, content doesn’t just “rank” - it actively guides players like a decision doc.

Yes I agree with you- the hidden AI danger. But are these genius programmers ar enot capable to make their AI bots stop hallucinating and giving you accurate data- is that so hard for them to do ? Or are they not willing to do it ?

 

[Furious Man]

That’s a great breakdown the report clearly shows SEO needs to evolve toward structured, decision-focused, and comparison-driven content. Instead of long articles, focus on clarity, action steps, and format-rich pages that both users and AI can easily interpret.

 

[Marco69]

That’s a great breakdown the report clearly shows SEO needs to evolve toward structured, decision-focused, and comparison-driven content. Instead of long articles, focus on clarity, action steps, and format-rich pages that both users and AI can easily interpret.

My friend google hcu update makes it clear; not write seo content -which means; seo content is content to manipulate the search engines! Not write seo structured content with keyword phrases (max 1-2x within the content) not more. Then frame your content so, that is aligned with EEAT and you will be fine.

 

[ibetseo]

Yes I agree with you- the hidden AI danger. But are these genius programmers ar enot capable to make their AI bots stop hallucinating and giving you accurate data- is that so hard for them to do ? Or are they not willing to do it ?

Exactly. It’s not really about capability, for me it’s about architecture. GPT doesn’t know truth; it just predicts the most likely sequence of words based on patterns in data. That’s why even the best models still “hallucinate” sometimes. Fixing it means rethinking how AI represents verified knowledge, not just scaling parameters.

 

[ibetseo]

That’s a great breakdown the report clearly shows SEO needs to evolve toward structured, decision-focused, and comparison-driven content. Instead of long articles, focus on clarity, action steps, and format-rich pages that both users and AI can easily interpret.

Thanks man, appreciated it

 

[ibetseo]

My friend google hcu update makes it clear; not write seo content -which means; seo content is content to manipulate the search engines! Not write seo structured content with keyword phrases (max 1-2x within the content) not more. Then frame your content so, that is aligned with EEAT and you will be fine.

.Most people still try to write “for Google,” but it’s not about that anymore. You just need clear, useful content that answers what people actually want to know. If it’s well-structured and real, both Google and AI can understand it better that’s what EEAT is really about.

Thanks for help me clarify bro

 

[Marco69]

.Most people still try to write “for Google,” but it’s not about that anymore. You just need clear, useful content that answers what people actually want to know. If it’s well-structured and real, both Google and AI can understand it better that’s what EEAT is really about.

Thanks for help me clarify bro

Thanky my friend ! Better is you are not in a niche that is conquered by big sites or media news sites, they get all the seo trafiic , your site not.
Better be in obscure niches or you have your own unique service.

Happy Day !

 

[Marco69]

Exactly. It’s not really about capability, for me it’s about architecture. GPT doesn’t know truth; it just predicts the most likely sequence of words based on patterns in data. That’s why even the best models still “hallucinate” sometimes. Fixing it means rethinking how AI represents verified knowledge, not just scaling parameters.

Let's say you having news on your site (your ar ea google news publisher) you have multiple sources to get your specific niche news, then take the "meat" the basic facts of the origin news content, give it to AI write different title and let AI write the content with a different angle.

Then when you use the "meat" or hard facts of the origin news article, so it should be easy for the AI to verify and do a fact check I guess ?

 

[ibetseo]

Let's say you having news on your site (your ar ea google news publisher) you have multiple sources to get your specific niche news, then take the "meat" the basic facts of the origin news content, give it to AI write different title and let AI write the content with a different angle.

Then when you use the "meat" or hard facts of the origin news article, so it should be easy for the AI to verify and do a fact check I guess ?

Yeah bro, that’s a solid workflow. You’re basically using AI as a smart editor, not a source! You are smart haha

 

[Marco69]

Yeah bro, that’s a solid workflow. You’re basically using AI as a smart editor, not a source! You are smart haha

Aye! Thank you my friend ! For me I have found a new unique angle to write my content I sue free copilot, gemini and chatgpt. Are there settings in these AI where I can give them my unigue angle writing style so that AI always will write in that style without typing always the same prompts?
So far I know the chatgpt upgrade version has such settings, but the free AI's ?

Happy Weekend !

 

[AuxWritzau]

This is really detailed and insightful, thanks for sharing.

 

[Marco69]

This is really detailed and insightful, thanks for sharing.

Happy Weekend !

 

[ibetseo]

Aye! Thank you my friend ! For me I have found a new unique angle to write my content I sue free copilot, gemini and chatgpt. Are there settings in these AI where I can give them my unigue angle writing style so that AI always will write in that style without typing always the same prompts?
So far I know the chatgpt upgrade version has such settings, but the free AI's ?

Happy Weekend !

Yup, Claude (by Anthropic) just launched a feature called “Skills” that lets you teach it your own workflows, style and rules. You can try it

 

[ibetseo]

This is really detailed and insightful, thanks for sharing.

Thank you for your support

 

[Marco69]

Yup, Claude (by Anthropic) just launched a feature called “Skills” that lets you teach it your own workflows, style and rules. You can try it

Free gemini, copilot and chatgpt not have this feature ?

Happy Sunday !