How to get recommended by ChatGPT: 10 steps from our data

How to get recommended by ChatGPT, step by step. Ten steps, each backed by what 1,104 ChatGPT answers across seven businesses showed, with the effort involved.

By Harjeet Singh Bedi12 min read11 October 2026

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The short version

Ten steps to get your business recommended by ChatGPT. Each one rests on something our daily tracking actually showed, not on theory.

  1. Let ChatGPT read your website
  2. Say who, what and where at the top of each page
  3. Track buying questions, not your brand name
  4. Take the questions nobody owns yet
  5. Get onto the list sites ChatGPT reads
  6. Fix the directories that matter in your country
  7. Cover each city separately
  8. Study the rival pages ChatGPT reads
  9. Write for spoken questions
  10. Measure rates over weeks, not single answers

I'll be straight about one thing up front. These steps come from what ChatGPT read and recommended across 1,104 answers for seven businesses. They are not yet a before-and-after experiment. We're applying them to our demo business now and will publish what moves. More on that below.

How to get recommended by ChatGPT: ten steps with the data behind each and the effort involvedTen steps: let ChatGPT read your site; say who, what and where at the top of pages; track buying questions; take unclaimed questions; get onto the right list sites; fix your country's directories; cover each city separately; study the rival pages ChatGPT reads; write for spoken questions; measure rates over weeks. Each is paired with the finding from our data and an effort level. 10 steps to get recommended by ChatGPT, and the data behind each STEPWHAT OUR DATA SHOWEDEFFORT 1 Let ChatGPT read your site own site cited: named 50–93% Low 2 Say who, what, where up top own page read, others named Low 3 Track buying questions brand Qs 88% vs buying Qs 0% Low 4 Take the unclaimed questions 38 of 43 answers named nobody Medium 5 Get onto the right list sites one list 63%, another 3% Medium 6 Fix your country’s directories HomeStars: 40% vs 14% overall Medium 7 Cover each city separately Burnaby 97% vs Vancouver 23% High 8 Study the rival pages it reads rival’s site: 0 of 64 Medium 9 Write for spoken questions ChatGPT: 0 of 36 spoken Medium 10 Measure rates over weeks same check: 13, 25, 18, 20 Low
How to get recommended by ChatGPT: ten steps with the data behind each and the effort involved, from letting ChatGPT read your site to measuring rates over weeks

How we got these steps

The short answer: we tracked who ChatGPT named, and which sites it read, every morning for seven real businesses.

Our tool, LLM Visibility Lens, asks each business's buying questions in ChatGPT every day, logged out, and stores every answer and every source link. From 9 September to 8 October 2026 that came to 1,104 ChatGPT answers for:

Only the electrician, Kato Electrical, is named, because his account is our public demo. Some steps also draw on the same tool's checks in Gemini, Google AI Mode, AI Overviews and Perplexity.

Each step lists the effort involved and the evidence behind it. The method is on the how it works page.

I sell this tracker, so weigh that. The demo is public, so you can check the electrician's numbers yourself.

Want your customers' real buying questions first? The free question finder writes them from your website.

Step 1: Let ChatGPT read your website

Effort: low. Evidence: strong.

When ChatGPT cited a business's own website, it usually recommended that business. The trouble is it rarely read it.

Websites ChatGPT trusts: how often it named a local business when it cited that business's own websiteAcross all answers versus answers citing the business's own site: Vancouver electrician 14 percent versus 78 percent (7 of 9); Florida dental training institute 58 versus 88 (56 of 64); Massachusetts roofer 73 versus 93 (13 of 14); online mobility store 5 versus 50 (10 of 20). The online sod farm's website was cited in fewer than three answers, and it was named in 1 of 204. When ChatGPT read the business’s own website Share of ChatGPT answers that named the business All answers Answers citing its own siteVancouver electrician 14% (54 of 386)78% (7 of 9)Florida dental training institute 58% (89 of 153)88% (56 of 64)Massachusetts roofer 73% (112 of 153)93% (13 of 14)Online mobility store 5% (10 of 183)50% (10 of 20)Online sod farm 0.5% (1 of 204)its website was cited in fewer than 3 answers
When ChatGPT read a business's own website it named that business far more often: electrician 78% vs 14%, dental institute 88% vs 58%, roofer 93% vs 73%, mobility store 50% vs 5%

What to do:

More detail is in which websites ChatGPT trusts.

Step 2: Say who, what and where at the top of each page

Effort: low. Evidence: medium.

ChatGPT and Google's AI sometimes read your page and then recommend someone else. Usually that's because the page explains the topic but never says plainly who does the work, and where.

We saw it with Kato's emergency page. AI systems used it as a source for emergency questions and then named other electricians; in AI Overviews it was cited in 21 answers and he was named in 7.

What to do:

The named vs cited section of our AI Overviews guide explains the gap in more detail.

Step 3: Track buying questions, not your brand name

Effort: low. Evidence: strong.

AI happily names a brand when you ask about the brand. It's a different story when a buyer asks who to buy from.

Named rate by buying stageAcross 60 answers about one mobility brand, the brand was named in 88 percent of answers to questions that contained its name, and in 0 percent of answers to ready-to-buy questions that did not. Same brand, two kinds of question 60 answers from ChatGPT, Gemini, Google AI Mode and AI Overviews 88% brand name in the question "is this brand any good?" 0% ready to buy "where do I buy a power wheelchair?" Being well known is not the same as being recommended.
AI visibility by buying stage: the brand was named in 88% of answers when its name was in the question and 0% of ready-to-buy questions

In a test of 60 answers about a well-known mobility brand, it was named in 88% of answers to questions containing its name and 0% of ready-to-buy questions.

What to do: list the questions customers ask before they know you, such as "best [service] in [city]", "who can [job] near me", "how much does [job] cost in [city]". Track those, not your name.

Step 4: Take the questions nobody owns yet

Effort: medium. Evidence: strong.

For many buying questions, ChatGPT names nobody at all. That's the cheapest visibility you'll find.

What to do: find the questions where answers name no one, and write the page that answers each one outright, with real local prices, timing, permits and your name next to the answer. We first wrote about these "unclaimed" questions in We asked AI who to hire 80 times.

Step 5: Get onto the list sites ChatGPT reads

Effort: medium. Evidence: strong.

ChatGPT leans heavily on "best of" list sites. They help enormously when they include you, and not at all when they don't.

Which sites ChatGPT trusts for one local electrician: named rate when each site was citedThe electrician was named in 14 percent of all ChatGPT answers. When ChatGPT cited publicleads.com it named him in 11 of 11 answers, threebestrated.ca 19 of 30, homestars.com 12 of 30, verifiednode.com 9 of 37, trustanalytica.org 10 of 47, industryoversight.ca 1 of 30, bchydro.com 5 of 63, and a rival electrician's website, intelpower.ca, 0 of 64. Electrician: named in 14% of all answers. With these sources? ChatGPT answers citing each site that also named the businesspublicleads.com 100% (11 of 11)threebestrated.ca 63% (19 of 30)homestars.com 40% (12 of 30)verifiednode.com 24% (9 of 37)trustanalytica.org 21% (10 of 47)industryoversight.ca 3% (1 of 30)bchydro.com 8% (5 of 63)intelpower.ca (a rival) 0% (0 of 64)baseline 14%List siteDirectoryUtilityRival’s site
Which sites ChatGPT trusts for one local electrician: named in 100% of answers citing publicleads.com, 63% with threebestrated.ca, 40% with homestars.com and 3% with industryoversight.ca, against a 14% baseline

For the electrician, named in 14% of answers overall:

What to do:

Step 6: Fix the directories that matter in your country

Effort: medium. Evidence: medium.

Which directories ChatGPT reads depends on where you are and what you do. A generic list of "top 50 citation sites" wastes time.

What to do: complete and keep consistent the two or three directories ChatGPT actually cites for your trade and country. Use the same name, address, phone and services everywhere, and mirror them in LocalBusiness schema on your site.

Step 7: Cover each city separately

Effort: high. Evidence: strong.

Being recommended in one city says nothing about the next one, even when it's 20 minutes away.

Burnaby vs Vancouver: how often each AI system named the same electricianBurnaby then Vancouver: ChatGPT 30 of 31 and 7 of 31; Gemini 16 of 32 and 12 of 32; Google AI Mode 25 of 32 and 25 of 32; AI Overviews 2 of 3 and 13 of 25, with no AI Overview for Burnaby on 29 of 32 days; Perplexity 0 of 13 and 9 of 13. Burnaby vs Vancouver (where the office address is) How often each AI named the business for “best electrician in…” Burnaby VancouverChatGPT 97% (30 of 31) 23% (7 of 31)Gemini 50% (16 of 32) 38% (12 of 32)Google AI Mode 78% (25 of 32) 78% (25 of 32)AI Overviews 67% (2 of 3) · shown on 3 of 32 days 52% (13 of 25)Perplexity 0% (0 of 13) 69% (9 of 13)
Burnaby vs Vancouver: how often each AI system named the same electrician; ChatGPT 97% vs 23%

For the same electrician, in ChatGPT:

AreaNamed Kato
Burnaby30 of 31 answers
Vancouver (where his office is)7 of 31
Three Coquitlam questions0 of 90

The difference came from which list sites and pages ChatGPT read for each city, as we showed in Google Business Profile and AI answers.

What to do: for each place you serve, check the questions separately. Make sure your site, your directory profiles and the local list sites all say you serve that place.

Step 8: Study the rival pages ChatGPT reads

Effort: medium. Evidence: strong.

Competitors' websites can push you out, or carry you along, depending on whether ChatGPT already sees you as one of the established names in that area.

What to do: find the rival pages ChatGPT keeps citing, and write a more specific, more useful page for the same service and place. Being in the local "known set" is what turns a rival's page from a threat into a neutral.

Step 9: Write for spoken questions

Effort: medium. Evidence: medium.

People increasingly ask AI the way they talk: "Is there an electrician open right now in Port Coquitlam that can come out tonight?" Those questions carry conditions, and the answers name businesses that clearly state them.

Typed vs spoken questions: how often each AI system named the same local businessOver the same days, typed questions got the business named in 23 percent of answers and spoken questions in 7 percent. ChatGPT: 10 of 60 typed, 0 of 36 spoken. Gemini: 12 of 60 typed, 2 of 36 spoken. Google AI Mode: 19 of 60 typed, 0 of 36 spoken. AI Overviews: 12 of 49 typed, 0 of 33 spoken. Perplexity was the exception: 10 of 50 typed, 10 of 30 spoken. Named when the question is typed vs spoken Same AI systems, same days · 10 typed and 6 spoken questions Typed SpokenChatGPT 17% (10 of 60) 0% (0 of 36)Gemini 20% (12 of 60) 6% (2 of 36)Google AI Mode 32% (19 of 60) 0% (0 of 36)AI Overviews 24% (12 of 49) 0% (0 of 33)Perplexity 20% (10 of 50) 33% (10 of 30)All systems: typed 23% (63 of 279) · spoken 7% (12 of 171). ChatGPT, AI Mode and AI Overviews: 0 of 105 spoken answers named the business.
Typed vs spoken questions: how often each AI system named the same local business, with ChatGPT, AI Mode and AI Overviews naming it in none of the spoken answers

In one week of tracking, ChatGPT named the electrician in 10 of 60 answers to typed questions, and 0 of 36 spoken ones.

What to do: put the conditions on your pages in plain words: hours, after-hours service, same-day availability, residential or commercial, and the jobs you actually do. See spoken questions.

Step 10: Measure rates over weeks, not single answers

Effort: low. Evidence: strong.

ChatGPT's answer to the same question changes from day to day, so one check proves nothing.

What to do:

Our guide to what one free check can and can't do shows how many answers you need, and why there's no rank #1 in ChatGPT explains why positions mislead.

What not to bother with

Some popular tactics didn't show up anywhere in our data.

Where we are starting from

Here's the honest bit. Before working through these steps on our own accounts, ChatGPT's weekly rates were flat:

Weekly ChatGPT named rate for three businesses before working through the stepsWeekly share of ChatGPT answers naming each business: the Vancouver electrician stayed between 13 and 17 percent, the online mobility store between 3 and 7 percent, and the online sod farm between 0 and 1.5 percent, from late August to early October 2026. Our starting point: ChatGPT’s weekly named rate Before working through the steps · flat for every business0%10%20%31 Aug7 Sep14 Sep21 Sep28 Sep5 Octelectrician: 10 → 16 questionsVancouver electricianOnline mobility storeOnline sod farm
Weekly ChatGPT named rate for three businesses before working through the steps: the electrician steady at 13 to 17 percent, the mobility store at 3 to 7 percent, the sod farm at 0 to 1.5 percent
BusinessWeekly ChatGPT named rate
Electrician13–17%
Online mobility store3–7%
Online sod farm0–1.5%

The electrician's question set grew from 10 to 16 in late September, so his weeks before and after that aren't strictly comparable.

We're now applying these steps to the demo business and will report what moved, with the same questions measured before and after. You'll be able to watch it happen in the live demo and read every answer. For the earlier, shorter version of this playbook, see how to rank in ChatGPT. For the other AI systems, see how to rank in AI Overviews, AI Overview tracking for near me searches, Perplexity vs ChatGPT, ChatGPT citations and 5 AI systems, 35 questions.

How to track your own

You can work through all ten steps by hand: ask your buying questions in ChatGPT logged out, a few times a week, note who gets named and which sites are cited, and keep going for a month.

Or let LLM Visibility Lens do it. Every morning it asks your questions in ChatGPT, Gemini, Google AI Mode and AI Overviews, plus Perplexity on the Pro and Agency plans, and keeps every answer and source. It shows each system's named rate with its range, and each month it turns the data into an action plan built around these steps. The plans start free, and agencies can send reports under their own name. See the agency plan.

There's also a plain comparison with Semrush's AI visibility tool, the changelog, the FAQ page and the security page. If you'd like me to look at which of these steps would help your business most, get in touch.

Questions people ask

Does my Google Business Profile help with ChatGPT?

Not directly, in our data. ChatGPT never linked to Google Maps or a Business Profile in a month of local electrician answers. It relied on websites, list sites and directories. Keep the profile strong anyway, because Google's own AI features draw on it heavily.

Why does ChatGPT recommend my competitor and not me?

Usually because the pages it reads list your competitor and not you: their website, a "best of" list or a directory profile. In our data, when ChatGPT read a rival electrician's site, our business was named in none of 64 answers. Find those pages, then improve your own and get onto the lists.

Harjeet Singh Bedi, Founder, LLM Visibility Lens · SEO consultant, Bedi SEO

Harjeet Singh Bedi Founder, LLM Visibility Lens · SEO consultant, Bedi SEO

Harjeet has worked in SEO since 2010, first in agencies and now running Bedi SEO for local businesses, online stores and agencies. He built LLM Visibility Lens after clients kept asking whether they showed up in ChatGPT and other AI tools and nobody could give them an honest, measured answer. Every figure in this article comes from answers his tool collected.

Connect with Harjeet on LinkedIn

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