How to Get Cited by ChatGPT: What 297 AI Answers Cite (2026 Data)

To get cited by ChatGPT, be on the third-party pages its answers are built from, and publish your own page that names the tools in your category with prices. That's the short version of what we found when we asked ChatGPT, Gemini and Perplexity the questions agencies and local businesses ask before they buy Google Business Profile software.

On October 30, 2026 we sent 33 buyer questions to each engine, three times each: 297 answers. On the 23 questions that named no brand, the citations broke down like this:

Based on 1,570 citations across 207 answers. Review sites appear far more on questions that name a brand: see below.

Which brands the answers named

Share of all answers that named each brand, excluding questions that already named it:

That last row is us. We publish it because it's the baseline we're working from, and because the method is the useful part: the same weekly test tells you exactly which sources to work on.

BrightLocal's lead comes partly from its own site. brightlocal.com was cited in 52 of the 207 non-branded answers, more than any other domain, because it publishes a lot of fact-heavy pages (pricing, research, comparisons) that answer engines can quote.

The three engines don't build answers the same way

What we saw in the citations:

• Gemini tracks Google rankings. When one of our blog posts ranked on Google for the question, Gemini cited it: our Merchynt alternatives article was cited 6 times and our heatmap tools guide 3 times.
• ChatGPT and Perplexity lean on third-party lists. One of our articles averages position 2–3 on Google for agency and multi-location GBP management queries, and no engine cited it for those questions. They cited roundups on other sites. ChatGPT search draws on Bing's index, so a page that's strong on Google isn't automatically in the running.
• Reddit barely registered. 4 of 297 answers cited Reddit, all from Gemini, for this category of question.

Review sites matter when the question names a brand

G2 was cited in 40 of the 297 answers and Capterra in 35, but mostly on questions like "Is Merchynt Paige worth it?" or "What are the best alternatives to GBPPromote?". For those, answers pulled from:

If buyers already know your name, your G2, Capterra and Trustpilot profiles are what the answer engines read about you. Keep the product name, category and pricing on those profiles current. We found our own G2 listing under an old product name and with no pricing, which is a common problem.

What gets a page cited

Patterns across the answers, with the evidence for each:

1. Name the tools and give prices. Answers to "best X" questions are shortlists of named tools, usually with a price. The pages they cite read the same way. On our own site, the pages Google indexes name about 6 to 16 tools and give 6 to 10 dollar prices per 1,000 words; the posts Google declined to index name fewer than 2 tools and give fewer than 3 prices per 1,000 words.
2. Put the answer first. A guide that explains a category and mentions a product two-thirds of the way down wasn't cited for the "best X" question, even when it ranked well on Google.
3. State totals, not just rates. For a 10-location question, ChatGPT multiplied our 1-location price by 10 ($990) instead of using our 10-location tier ($590). A table of monthly totals at common location counts removes the arithmetic.
4. Get onto the lists that are already cited. 60% of citations went to third-party blogs and listicles. For each question you lose, the cited sources are your outreach list.
5. Keep vendor-site facts quotable. Vendors' own sites took 35% of citations. A pricing page with plain numbers, and comparison pages with dated competitor prices, give answer engines something to repeat.

How to run this test for your own business

1. Write 25–35 buyer questions. Use what prospects ask on sales calls and your Google Search Console queries, not keyword tools alone. Include "best X", "X alternatives", "X pricing" and "is X worth it".
2. Run each question 3 times per engine. Answers vary; a mention rate over several runs is the number to track.
3. Record four things per answer: whether you're named, whether your site is cited, which competitors are named, and every cited URL.
4. Sort the cited sources into pages you own, profiles you can claim (G2, Capterra), mentions you have to earn (listicles, community threads) and wrong information you need corrected.
5. Re-run weekly and change one thing at a time.

We used DataForSEO's AI Optimization API: the LLM Scraper for ChatGPT and Gemini, which reads the consumer interface rather than the API, at $0.0012 per task in the standard queue, and LLM Responses for Perplexity (sonar model) at $0.0006 per task plus Perplexity's own charge. The full run of 297 answers cost $0.84. Prices checked October 30, 2026.

Method

• Date: October 30, 2026. Location United States, language English.
• Engines: ChatGPT and Gemini via DataForSEO LLM Scraper (consumer web interface); Perplexity via DataForSEO LLM Responses, sonar model.
• Questions: 33, about Google Business Profile management, white-label GBP and reputation software, review management, local rank heatmaps, citations, competitor alternatives and pricing. 10 of the 33 name a specific brand (Merchynt, GBPPromote or Lead Oracle AI); "non-branded" figures use the other 23.
• Runs: 3 per question per engine, 297 answers, all returned.
• Brand rates count a brand only on questions that don't already name it.
• Limitations: one category (local SEO software), one country, one day. Source types were assigned from a hand-built list of vendor domains, so a few small tool vendors (Grade.us, Local Dominator) are counted with blogs; the 60/35 split is approximate. Answers change over time, and API-based Perplexity answers can differ from the Perplexity app. We re-run the same questions weekly.

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