# Measure your AI visibility across the questions your buyers ask > Write down the questions your buyers ask, run each one on ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews and AI Mode with Manifold, and count where your brand is named and where your site is cited. We ran 52 questions for Manifold on 26 October 2026. In answers to questions that did not name us, we were named 3.7% of the time and cited 10.1%. | | | | --- | --- | | Job | A repeatable AI visibility baseline | | Tools | aeo_run_ai_answers, get_task, aeo_get_site_readiness | | Credits | 29 a question on six engines; 1,506 for this run | | Run | 52 questions, 6 engines, 311 answers, 26 October 2026 | | Result | Named in 3.7% and cited in 10.1% of unbranded answers | ## The prompt We ran this on ourselves on 26 October 2026, with our own agent, Claude Code connected to Manifold: ```text Build an AI visibility baseline for Manifold. Here are 52 questions our buyers ask, tagged by buying stage (discovery, comparison, reviews, purchase) and product area. Ask each one on ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews and AI Mode. For every answer, record whether Manifold is named, where, whether manifoldmcp.com is cited, which other brands are named and which URLs are cited. Estimate the cost first. ``` The questions ran from how-to asks with no tool in mind ("how can an AI agent do keyword research") through comparisons ("best SEO MCP server") to questions that name us ("is Manifold MCP free"). ## The calls | Step | Tool | Input | Credits | | --- | --- | --- | --- | | 1 | [`aeo_get_site_readiness`](https://www.manifoldmcp.com/docs/tools/aeo#aeo_get_site_readiness) | manifoldmcp.com | 0 | | 2 | [`aeo_run_ai_answers`](https://www.manifoldmcp.com/docs/tools/aeo#aeo_run_ai_answers) with `dry_run` | 10 questions, 6 engines | 0 | | 3 | [`aeo_run_ai_answers`](https://www.manifoldmcp.com/docs/tools/aeo#aeo_run_ai_answers) | 52 questions in 6 batches of up to 10, 6 engines, 10 brands to detect | 1,506 | | 4 | [`get_task`](https://www.manifoldmcp.com/docs/tools#async-tasks) | each batch's task id | 0 | The dry run priced each batch of 10 questions at 290 credits before anything was spent. One question on all six engines costs 29 credits; Claude's answers cost the most. One answer of 312 failed at the provider and was not charged. ## What came back 311 results, of which 276 held an answer: Google shows no AI Overview or AI Mode answer for some questions. For the 41 questions that do not name Manifold: | Buying stage | Answers | Manifold named | manifoldmcp.com cited | | --- | ---: | ---: | ---: | | Discovery ("how do I…") | 96 | 0% | 0% | | Comparison ("best…", "… alternative") | 95 | 4.2% | 17.9% | | Reviews ("is the DataForSEO MCP server worth it") | 6 | 0% | 0% | | Purchase ("cheapest…", "free MCP server for…") | 21 | 19.0% | 23.8% | | All questions that do not name us | 218 | 3.7% | 10.1% | By engine, on the same questions: | Engine | Named | Cited | | --- | ---: | ---: | | ChatGPT | 2 of 41 | 13 of 41 | | Claude | 5 of 41 | 8 of 41 | | Perplexity | 1 of 41 | 1 of 41 | | Gemini | 0 of 41 | 0 of 41 | | Google AI Mode | 0 of 36 | 0 of 36 | | Google AI Overviews | 0 of 18 | 0 of 18 | One of the answers that did name us, from Claude, for "best MCP server for AI visibility tracking": > Manifold has 250 free credits a month, with Pro from $20/mo. ## What the agent concluded - **Cited, not named.** ChatGPT cited our comparison articles 13 times but named Manifold as a pick twice. The engines read our roundups and recommend the other tools in them. - **Nothing for discovery.** Not one of 96 answers to how-to questions named or cited us. Those questions are where buyers start, before they know a tool's name. - **Google's engines never mention us.** Gemini, AI Overviews and AI Mode named and cited us zero times on these questions. - **The name is shared.** On the 11 questions that name "Manifold MCP", 12 of 58 answers described a different product, most often a Manifold Markets server. - **The site is not the blocker.** The free readiness check passed every test: AI crawlers are allowed, the content is in the HTML, and the sitemap and the homepage's structured data are in place. Only the pricing page lacked structured data, which we have since added. ## Run it on your brand Write 20 to 50 questions your buyers ask, tag each by stage, and give your agent the prompt above with your brand and up to nine competitors. Ask for the estimate first, run it, and keep the raw results. Run the same questions again in two to four weeks and compare the rates, not single answers. For a smaller first look, the [guide to tracking your brand in ChatGPT](https://www.manifoldmcp.com/blog/chatgpt-brand-recommendations) starts with five questions. ## Questions ### How many questions should a baseline have? Enough to cover each buying stage and each product area you care about. Ours has 52, from how-to questions through comparisons to pricing. Fewer questions cost less but swing more from run to run. ### What is the difference between being named and being cited? Named means the brand is in the answer text. Cited means the answer links a page on your site as a source. Engines often cite a page and name other brands from it, as they did with our own roundups. ### Why do the answers change between runs? AI answers are live and not deterministic. Keep the same questions and engines, re-run every two to four weeks, and compare the rates rather than single answers. ### Does Manifold keep the answers? Task results are kept for 30 days. Save the raw results yourself if you want to compare later; our baseline is saved as JSON beside the script that re-runs it. ## Next - [AI visibility MCP server](https://www.manifoldmcp.com/mcp/ai-visibility) - [AEO tools in the docs](https://www.manifoldmcp.com/docs/tools/aeo) - [How to track your brand's visibility in ChatGPT](https://www.manifoldmcp.com/blog/chatgpt-brand-recommendations) Published 16 October 2026. Updated 26 October 2026.