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Fundamentals5 min read · published July 2026 · updated 2 November 2026

What is New Map?

How many of the 13 tracked brands a category answer names
How many of the 13 tracked brands a category answer namesHow many of the 13 tracked brands a category answer names: None 225, One 45, Two 30, Three 36, Four 18, Five or more 45. 225 of 399 category answers named none of them; 45 named exactly one.225 of 399 category answers named none ofthem; 45 named exactly one.None225One45Two30Three36Four18Five or more45
112 questions about GEO and AI visibility software, each asked once on ChatGPT, Gemini, Perplexity, Google AI Mode and Google AI Overviews in the week of 2 November 2026: 558 answers, 399 of them to category questions with no brand named.Source: New Map measurement, 2 November 2026 · How we measure

New Map is an AI visibility platform. The short version: when someone asks ChatGPT, Perplexity, Gemini, Google's AI Overviews or AI Mode, Claude or Grok which brand to trust, we work to make the answer name yours. People call the discipline GEO or AEO. We call it getting on the map.

The way people find things has changed. They ask an engine and take the shortlist it gives them. An AI answer names a handful of brands, sometimes one, and there is no page two. If you are not in that shortlist, you are invisible at the exact moment someone is deciding what to buy. The question is no longer where you rank. It is whether the answer says your name, or your competitor's.

New Map gives you four things

The data. Every tracked question your buyers ask is run every week on ChatGPT, Perplexity, Gemini, Google AI Overviews and Google AI Mode, with Claude, Grok, Copilot and DeepSeek as add-ons, and every answer is stored, dated and readable. We keep two measurements apart, because they are different questions: discovery, can buyers who do not know you find you in category answers, and trust, what the engines say when someone checks you by name. Each is measured on its own prompts and its own denominator. There is never one blended score. You see it per engine, per competitor, per source the engines cite, and on Reddit, YouTube and the registries the engines resolve you from.

Sources cited per answer, by engine, on the same 112 questions
Sources cited per answer, by engine, on the same 112 questionsSources cited per answer, by engine, on the same 112 questions: Perplexity 16.7, Gemini 9.1, Google AI Overviews 7.1, Google AI Mode 6.4, ChatGPT 3.5. Perplexity cited 16.7 sources per answer, ChatGPT 3.5: the engines read the web very differently.Perplexity cited 16.7 sources per answer,ChatGPT 3.5: the engines read the webvery differently.Perplexity16.7Gemini9.1Google AIOverviews7.1Google AIMode6.4ChatGPT3.5
112 questions about GEO and AI visibility software, each asked once on ChatGPT, Gemini, Perplexity, Google AI Mode and Google AI Overviews in the week of 2 November 2026: 558 answers, 399 of them to category questions with no brand named.Source: New Map measurement, 2 November 2026 · How we measure

An agentic team. A multi-agent system reads that data so you do not have to. An account manager has read every answer and knows who was named instead of you and which sources the engines lean on. Behind it sit a Data Analyst, a Strategy Advisor, a Content Strategist, an Authority Builder and a Distribution Router. It starts by understanding your brand: you drop in your docs, decks, site, GitHub, even your contracts, and the agents write down what you are now and what you no longer are, so the stale story the engines tell about you becomes a measured target. Every recommendation is verified against your data before you see it.

The deliverables. Not advice, files you ship. One click on any recommendation starts the draft and it lands in your portal in minutes: llms.txt and robots.txt, schema markup and the technical fixes your site needs, Answer Library pages for the questions you are missing, content briefs, proof pages that correct the old story (security evidence, fees, team, FAQ), your entity footprint on Wikidata and the registries, Reddit and YouTube plans, outreach briefs, and a weekly report in plain numbers. A verifier checks each draft against your data; only a passing draft reaches you.

The distribution network. The placements that move the numbers are done by people. Our PR specialists place brands in the Tier-1 and category outlets the engines already cite. Our creator team runs influencer campaigns on Reddit, YouTube, TikTok, X and LinkedIn, disclosed and genuine. Our SEO placement network gets you onto the best-of lists and comparison pages the engines read first, and thought leadership puts your founder in the bylines and on the podcasts the engines quote. Every placement carries your GEO strategy and your keywords, so it is written to be cited, not just read. One network, one account manager, requested when you want it.

How it works, from invisible to on the map

Tell us who you are. We measure what matters, separately. You see the data from every side. Your agentic team turns the plan into deliverables. You put the network to work. Then you watch it compound: the website, the content, the PR and the creators each add a layer, the layers stack, and the weekly readings show discovery and trust moving on their own lines. A placement written to be cited keeps paying long after it runs.

Agency-grade output, without the agency price

Because the account manager and the agents are software, you get the strategist, the writer and the technical work for a subscription instead of three retainers. Plans run from $89 a month for 50 tracked questions on every major AI engine to $549 for 600 questions with comparison pages, teardowns and data stories, all per brand and per language; a Custom package covers several brands or languages. When you want placements, Amplify is a customised package, shaped on a call around your goals and budget and scoped from your own data: which outlet, which list, which creator, aimed at a question you are losing.

Measurement on its own changes nothing, and work that is never re-measured cannot be judged. New Map runs the whole line, from the data to the placement, and measures again to see what moved. AI search is already deciding which brands get recommended. The ones that show up early will own their category in the answer. New Map is how you become one of them.

See where you stand

Book a discovery call and find out exactly how visible your brand is across the AI engines your customers already ask.

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