How to Get Recommended by ChatGPT
ChatGPT is stealing searches from Google at an every increasing rate. This creates a moment that changes how a lot of business owners think about marketing. You type your own company name into ChatGPT, then ask it to recommend the best supplier in your area for what you do. A competitor gets named. You do not.
That quiet drop in website traffic you have been noticing for the last six months suddenly has a face.
Here is why it matters. 51 percent of B2B buyers now start their research in an AI chatbot more often than in Google. And 80 percent of the URLs ChatGPT cites do not rank in Google’s top 100. Strong search rankings are not protecting you anymore.
This article explains how ChatGPT actually decides which businesses to name, where most UK SMEs are getting it wrong, and a practical 90-day plan to get recommended. If you want to know how to get recommended by ChatGPT, start here.
ChatGPT Is Not a Search Engine
Google gives you ten links. You click, you compare, you decide.
ChatGPT does not work that way. It reads the web, synthesises what it finds, and writes you one answer. That answer often names one to three specific businesses. There is no page two. There is no scroll. You are either named or you are invisible.
This is a big shift for SME owners who have spent years investing in traditional SEO. The unit of value has changed. It is no longer URL ranking, it is brand citation.
And here is the part that should make every MD lean in. In most local markets, one or two businesses already dominate AI recommendations. Every time ChatGPT names them, more people write about them, which gives ChatGPT more confidence to name them again next time. The lead compounds.
If you wait, you do not just fall behind. You watch a competitor become the default answer in your category.
How ChatGPT Actually Decides Which Businesses to Name
There are three layers to how ChatGPT picks who to recommend. Understanding them is the foundation of getting found in ChatGPT.
The Training Data Layer
ChatGPT was trained on a huge snapshot of the internet. Brands that were mentioned frequently and consistently across trusted websites have a baseline presence in its memory. Brands that have only built their visibility in the last 12 months sit in a gap.
The Live Retrieval Layer
When ChatGPT searches the web in real time, it pulls primarily from Bing, not Google. Most UK SMEs have never opened Bing Webmaster Tools. This is one of the easiest gaps to fix and one of the most overlooked.
The Trust and Confidence Threshold
ChatGPT only recommends a business when it has high confidence in it. That confidence comes from the same brand being mentioned positively in lots of different trusted places. One good source is not enough. The goal is consensus.
If no business in your area crosses that threshold, ChatGPT gives a generic answer instead. Nobody gets named. That is the gap your business needs to fill.
The Seven Signals That Get a Business Recommended
Here is the checklist. Take this to your marketing lead, your in-house team, or your agency.
1. Entity Consistency
Your business name, address, services and positioning should be written the same way everywhere online. Inconsistent details confuse AI tools and stop them naming you. This is the foundation of a strong online presence.
2. Structured, Extractable Content
ChatGPT rewards content that is easy for a machine to parse. That means clear H1, H2 and H3 headings, direct answers in the first sentence of each section, and FAQ blocks where they fit. Schema markup, the code that labels your business type and services for machines, sits underneath it all.
3. Bing Visibility
ChatGPT leans on Bing for live search results. Get your site indexed in Bing Webmaster Tools and check it appears for the queries that matter. This is one of the fastest wins for AI search visibility.
4. Reviews Across Multiple Platforms
Google Business Profile, Trustpilot, industry directories. Volume, recency and detail all matter. ChatGPT weighs reviews heavily when deciding which businesses are trustworthy enough to recommend.
5. Third-Party Mentions
Reddit threads, Quora answers, industry publications and “best of” listicles are now some of the most cited sources in ChatGPT responses. A single mention in a respected industry blog often does more for AI visibility than ten posts on your own site. This is where content marketing earns its keep.
6. Crawler Access
Check your robots.txt file is not blocking GPTBot, ChatGPT-User or OAI-SearchBot. These are the crawlers ChatGPT uses to read your site. A slow site or content hidden behind heavy JavaScript also gets skipped. If ChatGPT cannot read your website, it cannot recommend it.
7. Content Freshness
Pages updated every 30 days perform better in AI search than static content. A timestamp refresh alone can lift visibility. A blog post you wrote in 2022 and forgot about can be working against you if not updated.
How Do You Test Whether ChatGPT Recommends You?
Before you change anything, find out where you stand. This takes twenty minutes and costs nothing.
Open ChatGPT and ask it the questions your buyers would ask. Not questions about you. Questions about the problem you solve. For example:
- Best [what you do] in [your town or county]
- Recommend a [your service] for a small business in the UK
- Who should I talk to about [the problem you solve]?
- Is [your business name] any good?
Run each one twice: once with web search switched on, once without. The no-search answer tells you what the model already believes about your market. The search-enabled answer tells you what it finds when it goes looking. If you appear in one but not the other, you now know which layer needs the work.
Then repeat the same questions in Perplexity, Gemini and Google’s AI Overviews. Note three things every time: who gets named, which sources get cited, and the exact wording used to describe them. The cited sources are your target list for third-party mentions. The wording tells you what the machines think each business is for.
Put the results in a simple spreadsheet and rerun the same questions monthly. AI answers move around far more than Google rankings do, so a single check tells you very little. The trend over three months tells you a lot.
One warning. Do not ask “is [my business] the best agency in town?” and take the polite yes as evidence. ChatGPT is agreeable when you lead the witness. Neutral questions only.
Does the Same Approach Work for Gemini, Perplexity and AI Overviews?
Mostly, yes. And that matters, because your buyers are spread across all of them.
The differences sit in the retrieval layer. Each assistant leans on a different index:
- ChatGPT pulls from Bing when it searches the live web.
- Gemini and Google AI Overviews are built on Google’s index, so your traditional Google rankings carry more weight there.
- Perplexity runs its own crawler and is unusually fond of citing Reddit threads, review platforms and comparison articles.
So the plumbing differs, but the trust layer is the same everywhere. Consistent entity details, reviews across multiple platforms, third-party mentions and content a machine can parse: the seven signals above feed all four systems at once.
The practical takeaway is that you should not build a “ChatGPT strategy”. Build an AI visibility strategy and let each assistant pick it up through its own index. The only channel-specific jobs are Bing Webmaster Tools for ChatGPT, and keeping your Google rankings healthy for Gemini and AI Overviews.
Where Many UK SMEs Get This Wrong
The most common mistake is assuming strong Google rankings will translate. They do not. As we covered in our article on search everywhere, buyers no longer rely on Google alone.
The next is keyword stuffing. AI tools actively penalise it, even when traditional SEO once rewarded it.
Then there is thin content. Producing endless short FAQ pages aimed at AI does not work. AI systems are now very good at spotting shallow material with no real expertise behind it.
There are also businesses that pour money into their own website while ignoring entity signals, the third-party mentions and consistent information that build trust across the wider web. Content is how you express authority. Entity signals are how AI tools verify it.
Finally, plenty of owners treat this as a one-off project. AI visibility drifts. Brands cited last month may not be cited this month. It needs maintenance, not a single fix. Our piece on domain authority goes deeper into why ongoing signals matter more than one-time wins.
A 90-Day Plan to Get Recommended
This is the plan we use with our own clients. It is practical and built for owner-managed UK SMEs.
Days 1 to 30, Audit and Foundations
Ask ChatGPT, Perplexity and Google AI Overviews directly about your business and your competitors. Note what comes back. Fix your robots.txt, add schema markup, submit your site to Bing Webmaster Tools, and update your Google Business Profile. Start using social media to increase your reach.
Days 31 to 60, Content and Signals
Identify three to five specific questions your buyers ask AI tools. Build pillar content that answers them directly. Start earning third-party mentions in industry publications and relevant communities. If you are unsure where to start, our guide on making your site AI-friendly walks through the priorities.
Days 61 to 90, Monitor and Compound
Track how often you appear in AI answers each month. Refresh your top pages with new data and updated timestamps. Look at where competitors are being cited and you are not, then fill those gaps. AI search is a long game, and like SEO, the timeline matters.
What Does This Look Like in Practice?
We are not asking you to do anything we are not doing ourselves. In July we started running TU Marketing’s own website the way we run a client account, with an owner, a monthly report and a number to hit. AI visibility is part of that work, and we are publishing the numbers as we go.
Our own days 1 to 30 looked exactly like the plan above. We switched FAQ schema on across key pages. We tightened entity consistency and rebuilt the internal links between our service pages and posts like this one. None of it is glamorous. All of it is checkable.
No miracle results to report yet, and that is rather the point. This is a compounding game measured in months, not a hack measured in days. Anyone promising you guaranteed ChatGPT recommendations in a fortnight is selling something else. What we can promise is the same discipline we sell: do the signals, measure monthly, publish the outcome either way.
How We Approach AI Visibility at TU
Most of what you read about AI search is either panic or a sales pitch. We have been doing search for nineteen years, through every update that was going to end SEO, so our starting position is neither. AI search is a real shift, it is early, and it can be worked on deliberately rather than hoped at.
Here is how we actually do it, for clients and for ourselves.
First, we find out where you genuinely stand
Not a guess, and not a tool score. We ask the assistants the questions your buyers ask, across ChatGPT, Perplexity, Gemini and Google AI Overviews, with web search on and off. We record who gets named, which sources get cited, and what the answer says about you when you are mentioned at all.
This is usually the uncomfortable bit. Plenty of businesses find they are invisible while a competitor half their size gets named every time, and the reason is almost never quality. It is that the competitor is easier for a machine to understand.
Then we fix what machines cannot read
A great deal of AI invisibility is mechanical. Crawler access that quietly blocks the very bots you want. Schema that is missing, wrong or contradicts itself. A business name, address and description that say three different things in three places. No presence in Bing, which is where ChatGPT actually retrieves from.
None of this is glamorous and most of it is quick. It is also where the fastest movement comes from, because you are not trying to become more authoritative, you are just letting the authority you already have be read properly.
Then we build the things worth citing
Assistants quote specifics. Numbers, methods, definitions, comparisons, direct answers to real questions. They do not quote “leading provider of bespoke solutions”. So we work out the handful of questions your buyers genuinely ask, answer them better and more precisely than anyone else has, and make sure your name is attached to that answer in the places these systems already trust.
Then we measure it monthly, because the only way to know whether any of this works is to keep asking.
Does it bring in work, or just mentions?
This is the fair question, and we were sceptical too until we had the numbers.
One of our clients is a UK law firm in a specialist field. Around 30% of the enquiries reaching them through AI-referred visits convert, against 3.9% for their website traffic as a whole. That is roughly eight times. Seventeen conversions from around fifty-six visits in a single month. Same website, same team, same enquiry form. Very different visitor.
The explanation is not complicated. Somebody who arrives because an assistant recommended you has already been told you are the right answer by something they trust. They are not weighing you against five open tabs. They are checking you are real and then getting in touch.
We run our own business this way too
Since July we have run TU Marketing’s own website the way we run a client account, with an owner, a monthly report and a number to hit. AI visibility is part of that work, we publish what we learn as we learn it, and we will tell you plainly which parts we are still testing.
That matters more than it sounds. A lot of agencies are selling AI visibility services while being invisible to AI themselves. It is worth asking anyone who pitches you on this to show you their own results first.
Where to start
If you want to know what the assistants currently say about you, we will run an AI visibility snapshot: what ChatGPT, Perplexity, Gemini and AI Overviews say about your business today, who they recommend instead, and the specific reasons why. You get the findings whether or not you ever work with us.
It takes one conversation to set up and there is nothing to commit to.
Get your AI visibility snapshot
Frequently Asked Questions
Can I pay to appear in ChatGPT recommendations?
No. There is no paid placement in ChatGPT. Visibility is earned through authority signals across the web, not ad spend.
Will my existing SEO get me recommended in ChatGPT?
Not on its own. 80 percent of the URLs ChatGPT cites do not rank in Google’s top 100. SEO helps, but AI search visibility needs its own dedicated strategy.
How long does it take to get recommended by ChatGPT?
Most businesses see measurable shifts within 30 to 90 days. Sustained authority builds over six months and beyond.
Do I really need to be active on Reddit?
For most B2B SMEs, yes. Reddit is one of the most heavily cited sources in ChatGPT answers, so genuine participation in relevant communities supports your recommendations.
Can a small Hertfordshire business compete with national brands?
Yes. Niche specificity is an advantage in AI search. Becoming the clearest authority in a defined area beats competing on broad terms with companies twenty times your size.
How do I check what ChatGPT says about my business?
Ask it directly. Use neutral buyer questions, run them with web search on and off, and repeat monthly in Perplexity, Gemini and AI Overviews as well. Record who gets named and which sources get cited. The testing method in this post walks through it step by step.
Does ChatGPT use Google or Bing?
Bing. When ChatGPT searches the live web it retrieves results primarily from Bing’s index, which is why registering with Bing Webmaster Tools is one of the fastest wins in AI visibility. Google still matters, but for Gemini and AI Overviews rather than ChatGPT.
Do the same tactics work for Gemini and Perplexity?
Largely, yes. The seven signals in this post feed every major assistant. The differences are at the retrieval layer: Gemini leans on Google’s index, Perplexity favours Reddit, reviews and comparison content, and ChatGPT leans on Bing. Cover the shared signals first, then the channel-specific gaps.
