Most AI SEO tools answer one question and stop there. Does the model mention your brand or not? That's the easy half. Lily Ray's research showed a brand can sit inside a "best of" list that the same model then ignores the moment it actually makes a recommendation. Share of citation looks good on a slide. It does not tell you if you are actually being recommended.
GEO Pulse is Social Beat's own answer to the harder half of that question. It is an AI visibility tool that tracks brand presence every week across ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews, running hundreds of buyer intent prompts per brand. Here is what it actually does, what we have learned running it, and where we think this space is headed.
Understand where your brand stands in AI search, what drives its visibility, what sources influence it, and how those changes translate into measurable business impact.
Mention share and share of voice against the competitors you name, shown as a trend line instead of a one-time snapshot. Category-level splits let you look at the numbers that actually matter. A mutual fund brand, for instance, can look at SIP prompts separately from tax-saving prompts instead of averaging them into a number that means nothing.
Every cited URL, sorted by competitor and mapped by page depth. This is the part that turns into real work. If a model keeps citing four community forums and two trade publications whenever someone asks about your category, you know exactly where your PR, content and community budget needs to go next quarter.
We run accuracy checks against your own facts. Models often pull from outdated pages, and a wrong answer about pricing, coverage or eligibility is not a small mistake in India, it is a regulatory one. A German court has already held Google directly liable for false claims inside its AI Overviews. Under the DPDP Act and consumer protection rules, "the AI said it" will not hold up as a defence.
Mention share placed next to branded search and direct or homepage traffic, pulled straight from your own Search Console and analytics, not a vendor's estimate.
Every report shows its own method on the page, the number of prompts, the number of runs, the date window, which engines were used, and a confidence band. You should be able to check a number before you act on it, not just trust it. We are currently running over 10,000 active prompts across 500+ categories with some of the largest consumer brands in India, and we have analysed close to half a million brand mentions so far.
Keyword tools will give you an estimated prompt universe, but that number is really a guess dressed up as data, because no reliable volume data exists for any large language model. So instead of keyword tools, we build the prompt list from the client's own voice data, call centre queries, enquiry forms, support chats, along with real discussions happening on Quora, Reddit and LinkedIn.
We then run each prompt several times a day and average the results across seven to ten days. That is not caution for its own sake. SparkToro and Gumshoe.ai ran the same 2,961 prompts across ChatGPT, Google AI Mode and Gemini with 600 volunteers, and found less than a one in a hundred chance that two identical prompts return the same brand list. A single run only tells you about variance. Citation frequency across a large run count is the only number that actually repeats, so that is what we report.
The first 90 days of any geo marketing engagement is a baseline. We are upfront about that with clients. It is not a performance claim yet.
The right GEO strategy starts with knowing where your visibility gap actually sits. These two examples show how the same goal being cited by AI can require completely different approaches:
Mental health is an ad-restricted category on every major AI surface, so organic citation was the only channel available to this brand. We placed brand mentions in the sources models were already citing, community forums, PR and guest posts, and restructured the site content so an AI model could lift a clean passage out of it, not just so a human could read it. We tracked mentions monthly on GEO Pulse across Google AI Mode, Gemini, and ChatGPT.
Conversions went up 61% on zero paid media spend between January and May 2026, alongside an 86% rise in impressions on AI surfaces. Click-through rate actually fell, from 3.06% to 2.37%. Fewer clicks, but better ones.
That pattern is not unique to one brand. Insurance, finance, and health all sit under the same advertising restrictions. For close to half our top twenty clients, paid AI placement is permanently off the table because of category policy, which makes organic citation share the only AI channel those brands will ever get.
Here the work was technical SEO and content built specifically for AI Overview visibility across the US, UK, and India; keyword and competitor research per market; broken links and duplicate pages cleaned up, and hub-and-spoke page structures built so a model has something specific to pull from. Keywords appearing in AI Overviews rose 55% in three months. Organic visits rose 54% in six months, with 28% more keywords ranking in the top 20.
The contrast between these two is worth sitting with. One was a citation placement problem solved off the website, the other was a site architecture problem solved on it. GEO Pulse tells you which one you actually have, before you spend a whole quarter guessing.
The counting layer of geo marketing is getting commoditised fast. On 31 August 2026, Google finished rolling out AI performance reports inside Search Console worldwide, giving brands first-party, observed data on how they perform inside AI Mode and AI Overviews, at no cost. Google also started rolling out passthrough URLs specifically to stop third parties from scraping its results. Google is handing brands the same data for free while cutting off the pipes that most scraped estimates run on. Any product whose entire pitch is "we count your citations" has a shorter shelf life than its pricing deck suggests.
Second, AI visibility is rented, not owned, and it is rented from a model version. When GPT-5.6 became ChatGPT's default on 8 August, Tomek Rudzki's citation analysis found Reddit citations down 88%, arXiv down 84% and YouTube down 78% within days. No brand did anything wrong to cause that drop. Any brand or agency that had priced Reddit seeding as their main geo marketing lever lost most of it in a fortnight.
So the four things we are building GEO Pulse around are the four things a plain rank dashboard cannot sell you. The change when a default model shifts, reported as a standing part of the report instead of explained away after the fact. The accuracy of what models actually say about your brand. Hindi and regional language retrieval. And the action layer: the content, PR, and site work that actually moves the number.
Localisation matters here too. India is a top three AI Mode market, and if your customers are asking questions in Hindi, Tamil, or Marathi, an English-only visibility dashboard is really just telling you about someone else's customers.
Most geo agencies will hand you a visibility dashboard and call it a day. The better question to ask any of us, including us, is: which competitors does the model recommend when it is not recommending you, what is it getting wrong about your brand, and what did the last default model change actually cost you.
If you want that answered for your own category, send us ten prompts your customers actually ask. We will run them and show you the content and sources deciding your category right now.
What is geo marketing?
Geo marketing, also called generative engine optimisation, is the practice of making sure your brand gets mentioned and recommended when people ask AI models like ChatGPT, Gemini, and Perplexity questions related to your category. It is different from traditional SEO because you are optimising for a model's answer, not a ranked list of links.
What does GEO Pulse actually track?
GEO Pulse tracks your brand's mention share and share of voice against named competitors, the sources models cite most often in your category, accuracy checks on what AI models say about your brand, and how mention share connects to real business metrics like branded search and site traffic. All of it is tracked weekly, not as a one-time snapshot.
How is GEO Pulse different from other ai seo tools?
Most ai seo tools only report whether your brand got mentioned once. GEO Pulse runs each prompt multiple times a day over seven to ten days, because a single run only shows you variance, not a real pattern. It also checks whether models are recommending you accurately, not just citing you somewhere.
Do I need to work with geo agencies to use GEO Pulse?
No. GEO Pulse is Social Beat's own tool, so it comes as part of working with us directly rather than through a separate vendor. Unlike a lot of geo agencies that hand over a dashboard and leave the action items to you, we use the GEO Pulse data to actually run the content, PR, and site work needed to move your numbers.
Can GEO Pulse track prompts in Hindi and other regional languages? Yes. Regional language retrieval is one of the core things GEO Pulse is built around, since India is a top three AI Mode market and a large share of buyer questions are asked in Hindi, Tamil, or Marathi rather than English.
How long before I see results from a geo marketing engagement? The first 90 days are treated as a baseline, not a performance claim. Real movement in mention share, accurate AI answers, and traffic lift usually shows up after that, once the content and PR work from the first phase has had time to get cited.