Proof & data
Most AI-visibility tools only watch — they report where you are absent and stop there. AI HALO does the work that changes the answer, then re-scans to prove it.
Measured live across ChatGPT · Claude · Gemini · Meta AI · Grok · DeepSeek — we ask the models your buyers’ real questions, before and after.
SEO optimises for a ranked list of links a human scans and clicks. Generative Engine Optimization (GEO) optimises for the answer itself — the paragraph an assistant writes, and the businesses it names inside it. The mechanisms differ. SEO leans on keywords, backlinks and page-level ranking; GEO leans on entities, structured data, citation consensus across trusted sources, and copy a model can extract with confidence. A site can rank beautifully on Google and never be mentioned by ChatGPT, because the model could not resolve who it was. GEO does not replace SEO — the two complement each other — but the ground is shifting: more buyers are ending their search inside an answer, never reaching the list. AI HALO does the GEO work, end to end, and proves the lift by asking the models your buyers’ real questions. It is the difference between being findable and being chosen.
Invest in your AI Halo →Questions
Yes. They read different signals and serve different moments. SEO wins the click on a results page; GEO wins the mention in an assistant’s answer — increasingly the only surface a buyer sees. Strong SEO helps GEO, but does not deliver it on its own.
No. SEO ranks a document; GEO earns a business a place inside a generated sentence. The levers — entity coherence, structured data, citation consensus, machine-legible copy — overlap with SEO in places but are optimised toward a different judge: a language model, not a ranking algorithm.
By asking the answer engines the exact prompts your buyers use and recording whether you are named, and how accurately. That before-and-after probe is the honest metric — not impressions or rankings, but whether the machine now recommends you.