Home / Blog / How to Rank in ChatGPT: What Gets a Brand Cited
AI visibility · 7 November 2026 · Louise Sylvester
How do brands rank in ChatGPT?
Ranking in ChatGPT means being retrieved, quoted and named when ChatGPT searches the web. It reads Bing's index and pages fetched by OAI-SearchBot, then names the brands its sources agree on.
- Allow OAI-SearchBot and Bingbot, and get key pages indexed in Bing
- Open each section with a direct answer that names the brand
- Build comparison, alternatives and use-case pages for buying prompts
- Strengthen review sites and directories, then track prompts monthly
ChatGPT doesn't rank pages the way Google does. There is no position one, and no list of ten blue links. When ChatGPT searches the web, it reads a handful of sources, writes an answer and decides which brands to name. "Ranking in ChatGPT" really means three things: being retrieved, being quoted and being named.
The good news is that each of those has causes that can be checked and fixed. This is the order we work through them.
How ChatGPT finds sources
When a question needs current information, ChatGPT search sends queries to the web and reads the results. It relies heavily on Bing's index, alongside OpenAI's own crawler, OAI-SearchBot. Pages that Bing hasn't indexed, or that block OAI-SearchBot, are very unlikely to be used. Questions ChatGPT answers from its training data alone work differently, and depend on how often and how consistently the brand appears across the web.
Step 1: Make sure ChatGPT can reach the site
Check robots.txt, CDN and firewall rules for OAI-SearchBot and Bingbot. Many sites block AI crawlers by accident through a security setting. GPTBot controls training use and is a separate decision: blocking it doesn't remove a site from ChatGPT search, but blocking OAI-SearchBot does.
Step 2: Get the important pages into Bing
Verify the site in Bing Webmaster Tools, submit the XML sitemap and check indexation for the pages that matter: category, product, comparison and pricing pages. Turn on IndexNow so updates reach Bing quickly. A page Google ranks well can still be missing from Bing. The same Bing work also improves visibility in Microsoft Copilot.
Step 3: Write passages worth quoting
ChatGPT builds answers from short passages. Pages that open each section with a direct, specific answer are easier to use than pages that warm up for three paragraphs first. Put the brand or product name inside the passage that answers the question. If the answer is about route optimisation software and the passage never says "eLogii", the brand can be a source without being named.
Step 4: Build pages for the prompts buyers actually use
Buyers ask ChatGPT for shortlists, comparisons and alternatives. "Best e-signature software for regulated industries", "[brand] vs [competitor]" and "alternatives to [competitor] for small teams" each need a page that answers them clearly and fairly. Brands without these pages leave the answer to review sites and competitors.
Step 5: Strengthen the sources ChatGPT cites
For many commercial questions, ChatGPT cites review platforms, comparison articles, directories, publications and forums more than brand websites. List the sources cited for each priority prompt and find where the brand is missing, thin or described wrongly. The Paylists AI citation programme covered seven European markets largely through this kind of off-site work.
Step 6: Keep brand facts consistent
Founding date, headquarters, product names, pricing and positioning should match across the website, LinkedIn, Crunchbase, Wikidata, review platforms and press coverage. Conflicting facts make a model less confident, and less likely to recommend. Entity SEO fixes this at the source, through Wikidata, schema and consistent profiles.
Step 7: Track the same prompts every month
Pick 30 to 60 real buying prompts and run them in ChatGPT on a fixed schedule. Record whether the brand is absent, used as a source, named or recommended, and which competitors and URLs appear. Monthly AI visibility tracking turns ChatGPT from a black box into a set of numbers that can move.
How ChatGPT decides which brands to name
Being retrieved is only the first hurdle. Once ChatGPT has read its sources, it has to decide which brands to mention and which to recommend. Three things influence that choice. The first is agreement: brands that several independent sources describe in the same way are named more confidently. The second is specificity: a brand clearly tied to the exact use case in the prompt beats a brand described in general terms. The third is recency: current pricing, features and reviews outweigh old information.
That is why a single strong page rarely solves the problem on its own. The brand's own page, the review platforms, the comparison articles and the directories need to tell a consistent, specific story.
A worked example
Take a prompt such as "best Peppol e-invoicing software for small businesses in Belgium". ChatGPT runs searches in the background, reads a mix of vendor pages, regional directories and comparison articles, then names three or four providers. A provider missing from that answer usually has one of four gaps: no page that addresses small businesses in Belgium specifically, no Bing indexation for its regional pages, no coverage in the directories ChatGPT read, or positioning that differs from site to site. Each gap points to a specific fix, and tracking the prompt monthly shows when the fix has worked.
How ChatGPT search differs from Google
| Factor | ChatGPT search | |
|---|---|---|
| Index | Google's own index | Bing's index plus OAI-SearchBot |
| Output | Ranked list of pages, plus AI Overviews | One written answer with optional source links |
| Unit that wins | The page | The passage and the brand mention |
| Third-party sources | Influence rankings through links | Often quoted directly in the answer |
| Measurement | Rankings, impressions and clicks | Prompt tracking and referral traffic |
How to measure ChatGPT traffic
Links clicked inside ChatGPT usually arrive with chatgpt.com as the referrer, and often with a utm_source=chatgpt.com parameter. In GA4, build an exploration or custom channel group that captures chatgpt.com, perplexity.ai, gemini.google.com and copilot.microsoft.com, then report sessions, conversions and revenue from them each month. Referral numbers understate the full effect, because many people read the answer and then search for the brand directly, so watch branded search alongside them.
ChatGPT for SaaS and ecommerce brands
The priorities differ by business type. Software brands are judged on shortlist, comparison and alternatives prompts, where review platforms such as G2 and Capterra carry a lot of weight. eLogii's work on AI citations sat alongside a core update recovery, described in the eLogii case study, and the wider method is set out in AI visibility for SaaS.
Online stores are judged on "best for", compatibility and gift prompts, where clear product facts, reviews and round-up coverage matter most. AI shopping optimisation covers that side, including how ChatGPT shopping results pick products.
What doesn't work
Keyword stuffing, hidden text and mass-produced pages written for AI don't help, and some of them damage trust in the site. There is no way to pay for an organic ChatGPT recommendation. Clear pages, solid technical access and genuine third-party proof are what move it.
For the full service view, including how ChatGPT search differs from Google, see ChatGPT SEO.