AI has a favourite brand. Make sure it's yours.

AI visibility — sometimes called Generative Engine Optimisation (GEO) or Answer Engine Optimisation (AEO) — is how often AI assistants name and cite your business in their answers. Traditional SEO competes for blue links on a results page; AI visibility competes to be the recommendation inside the answer itself, on ChatGPT, Google AI Overviews, Gemini and Perplexity.

Assistants pull from structured, consistent data about your locations. We format your hours, services, attributes, reviews and content the way large language models read them, and keep them accurate everywhere the models source from — so when someone asks, you are the named recommendation rather than a missing option.

Google AI Overviews favour accurate, well-structured location data and authoritative, question-led content. We structure every location for how the models parse it and generate LLM-optimised pages per outlet, then track which pages and prompts are being cited so you can build on what is working.

Right now we track ChatGPT and Gemini — the two assistants driving the most recommendation prompts — with more added as they emerge.

It already is. Around 93% of Google AI Mode searches now end without a click, and Gartner projects brands' organic search traffic could fall by 50% by 2028 as people ask assistants instead. Being the cited answer is how you stay discoverable when the click disappears.

We score how often each assistant names your locations every month, for which prompts and on which platforms, and show the trend over time and by location. You also see the exact pages AI is citing, ranked by reference volume, so AI visibility becomes a metric you can actually manage.

Share of Visibility — the AI-search equivalent of share of voice — is the percentage of AI answers, for the searches that matter in your category, that belong to you versus named competitors. It tells you exactly where you stand and where to push to widen the gap.

Yes — this is built for multi-location brands. Every outlet gets structured data and an LLM-optimised page, and you can see each location's visibility score and how it ranks against competitors, so you know which stores to lift next.

Once your location data is structured and published, assistants begin sourcing from it as they re-crawl — typically within weeks. From there your monthly score and citation tracking show momentum building, as it does for brands clearing their competitive set.

Yes. Competitor benchmarking runs in three places. The AI Visibility Tracker benchmarks your share of voice and visibility score against a named competitor set, split by assistant, prompt and location, and ranks every outlet against the rivals in its own catchment. Reputation benchmarks your star ratings and sentiment against competitors. Brand Listening benchmarks mentions, sentiment, share of voice, top sites and influencers. All three are reportable, and we build the competitor set with you at setup. One caveat worth knowing up front: the AI-visibility share figure is location-dependent, so comparing yourself to a competitor with a much larger footprint reads low. We match the competitor set to your real footprint, or state the difference when we present the number.

Both, and the second half is the point. The AI Visibility Tracker is the software: prompt-level tracking, scoring, share of voice and citation reporting. What sits behind it is a team that runs the things the score depends on, namely listings accuracy across 50+ platforms, review response and sentiment, localised social content and structured location data. A measurement-only tool tells a 200-store brand that 40 outlets are underperforming. It does not fix 40 outlets.

We build the keyword set with you before setup, around the questions customers actually ask in your category rather than a generic starter list. Prompts are then generated from those keywords across the city and suburb values in your location set, so prompt volume scales with the size of your estate and pricing follows prompt usage. The keyword set is locked once tracking starts so your trend data stays comparable month on month, which makes that first keyword session the most important hour of onboarding.

Yes. Social Places manages 30,000+ locations across 80+ countries and is ISO 27001 certified, working with brands including McDonald’s, BMW, Standard Bank, Capitec and Mediclinic. Franchise and enterprise engagements add a dedicated Account Manager and Digital Lead, custom permissions across organisation, brand and location levels, and quarterly strategy sessions. Large AI visibility rollouts are scoped with our team rather than self-serve, so the prompt set, cadence and cost are agreed before anything is switched on.