ChatGPT SEO: get recommended
ChatGPT SEO is not the old keyword game with a new coat of paint. When someone asks ChatGPT for a recommendation, it does not rank your page; it repeats what it has read about you. So the work is being genuinely present and well-regarded in the places these models trust, which for buying questions is heavily Reddit.
The short version
- ChatGPT does not rank you for a recommendation. It repeats what it has read about you.
- So the lever is reputation, not keywords. Be genuinely well-regarded in the sources these models trust.
- For "best tool for X" questions, those sources lean heavily on Reddit, where people compare options candidly.
- The same moves lift your odds with Claude, Perplexity and Google's AI, because they read similar places.
- subding keeps an eye on Reddit for your keywords and flags the thread while it is live. A real person joins it and writes the reply. We never post for you, and no honest tool can guarantee a citation.
Why ChatGPT SEO is a different game
Classic SEO is a contest for position. You tune a page you own, earn some links, and try to sit above a rival in a list. ChatGPT does not hand back a list. Ask it for the best option and it writes a short, confident answer with a couple of names in it, and either you are one of them or you are not.
That changes where the work lives. You are no longer only optimising a page under your control. You are trying to shape a reputation that lives across places you do not own, because that reputation is what the model read and is now paraphrasing. It is closer to public relations than to keyword tuning.
Where ChatGPT actually reads
Models draw on two things: what they absorbed in training, and, when browsing, what they retrieve in the moment. For recommendation questions specifically, a lot of that traces back to candid discussion where real people weigh options with nothing to sell. On the open internet, that usually means Reddit.
Reddit's licensing deals wired its threads into the systems that generate these answers, so a helpful comparison from last month can shape a reply someone gets today. Our guide to Reddit and AI search walks through how that pipeline works in practice. The table below lines up the old habits against what this new game rewards.
| Dimension | Old SEO habit | What ChatGPT SEO rewards |
|---|---|---|
| What you optimise | A page you own and control. | A reputation you earn across the open web. |
| The winning signal | Keywords, backlinks, technical health. | Consensus from real people in candid places. |
| Where the work happens | On your site. | In the threads and forums the model reads. |
| What gets you named | Ranking above a rival. | Being the thing people actually recommend. |
| The honest limit | You can influence a ranking. | You improve odds; nobody controls the answer. |
The right-hand column cannot be gamed cheaply. That is the whole point, and also the reason it works.
How to become recommendable
There is no clever input here, which is oddly freeing. You become the answer by being the thing people genuinely rate, and by being visible where they say so. That is slow, it compounds, and it cannot be faked without getting caught. Here is what actually moves the needle.
- Be worth recommending. No amount of presence rescues a product people quietly warn each other away from.
- Show up as yourself. Turn up in the threads where your category gets discussed, disclose who you are, and help.
- Earn the specifics. Models quote concrete praise. "Handled our edge case in a day" beats "great tool" every time.
- Keep pages clean. Clear, well-structured content still helps a model understand and quote you correctly.
Notice that none of this is a trick you run once. It is a habit, and the payoff is that the same honest presence lifts you across every assistant at once. Our guide to LLM SEO goes deeper on how models weigh sources while they answer.
Catch the threads early
Being recommendable only pays off if you are in the conversation while it is open. A recommendation thread gathers its answers fast, usually within a day, and then it settles and gets indexed with whatever got said. Arrive a week late and the names are already baked in, and the model will happily read them back without yours.
So the practical bottleneck is simply hearing about the right thread in time. That is a listening job. A Reddit monitoring tool watches posts and comments across Reddit for your keywords and pings you while the thread is still live.
"asked ChatGPT and got the same three names as everyone, so I'm asking humans: what's the best tool you'd actually recommend for this? honest takes only."
→ Join it while it's live
We surface the conversation as it happens; a real person on your team decides whether to join it and what to say. subding does not write comments, cast votes or guarantee ChatGPT will name you, and anyone promising that last part is selling smoke. There is more on the mechanics in our AI visibility guide.
How to tell it is working
Honesty first: this is harder to measure than rankings, because a mention inside an answer often sends no click and shows up in no report. You will not get a clean dashboard of "ChatGPT recommended you 40 times". Anyone selling that number is guessing.
- Ask the assistants. Periodically pose the recommendation questions your buyers ask and note who gets named.
- Watch the mentions build. Track when your brand, your rivals and your category come up in the threads models read.
- Trust the lag. Reputation is slow to shift and slow to show, so judge it over months, not days.
Questions, answered straight
What is ChatGPT SEO?
ChatGPT SEO is not the old keyword game with a new coat of paint. When someone asks ChatGPT for a recommendation, it does not rank your page; it repeats what it has read about you. So the work is being genuinely present and well-regarded in the places these models trust, which for buying questions is heavily Reddit.
How does ChatGPT decide what to recommend?
For a recommendation question, ChatGPT leans on what it learned from training data and, in browsing mode, on what it retrieves live. A lot of that, especially for "best tool for X" style questions, comes from candid discussion where real people compare options. Reddit is a big part of that, which is why your standing there matters so much.
Do keywords still matter for ChatGPT SEO?
They help, but they are no longer the main lever. Clear, well-structured pages make it easier for a model to understand and quote you. What tips a recommendation, though, is what other people say about you in places the model reads. You cannot keyword your way into being liked.
Does this only work for ChatGPT?
No. The same approach improves your odds with Claude, Perplexity and Google’s AI too, because they all draw on similar open sources when they answer recommendation questions. Being genuinely well-regarded where people compare tools tends to travel across every assistant at once, rather than being tuned to one.
How does Reddit fit into ChatGPT SEO?
Reddit is where a lot of honest recommendation lives, and Reddit’s content deals wired those threads into the systems that produce AI answers. Being genuinely present in the right threads for Reddit, as yourself and disclosed, is one of the highest-leverage things you can do. subding tells you when a relevant thread appears; a person writes the reply.
Can you guarantee ChatGPT will recommend me?
No, and anyone who promises it is selling smoke. The models change, the sources shift, and nobody controls the output. What you can do is make yourself more likely to be named by doing genuinely good work in public and being present where it counts. Better odds, never guarantees.
Get named in the answer
ChatGPT recommends what it has read about you, and a lot of that reading is Reddit. Being genuinely present in the right threads, early and as yourself, is how you tilt the odds. subding handles the part that is hardest to do by hand: hearing the thread in time.
See what every plan includes on the pricing page.