A definitive measure of how AI systems perceive, understand and recommend your brand — the published baseline for generative engine optimization.
01 — The Standard
Generative Engine Optimization (GEO) is the practice of making a website legible to AI assistants, so that models like ChatGPT, Claude, and Perplexity can find it, understand who is behind it, and name it accurately in an answer.
It matters because search has shifted from retrieving links to synthesizing answers. A page that ranks well can still be invisible to a model that cannot parse its structure, resolve its brand, or find a quotable sentence in it.
The Siolfur Index measures that readiness. It runs 54 deterministic checks across six areas and returns a scored, check-by-check report — every result traceable to a published standard rather than an opinion, so two runs on an unchanged site produce the same number.
02 — Methodology
Can AI systems reach and read the site at all? Evaluating robots.txt, sitemaps, and llms.txt.
Does a machine know who this company is? Assessing entity resolution, structured data, and clarity of facts.
The hygiene that quietly destroys machine trust. Ensuring correct canonicals, HTTPS, and clean redirect chains.
Is the writing shaped so an AI can quote it? Answer-first openings, FAQ blocks, and question-shaped headings.
Is the meaning inherently machine-readable? Deep JSON-LD coverage for products, organizations, and articles.
Could an AI shopping agent perfectly match your products to a buyer? Depth of SKUs, categories, and image metadata.
03 — The Deliverable
Real data, no black boxes. This is an actual audit run, with the client's brand and domain replaced by placeholders.
04 — Questions
Generative Engine Optimization is the practice of ensuring a brand is found, understood and named by AI assistants such as ChatGPT, Claude and Perplexity. Search has moved from retrieving links to synthesizing answers, so the question is no longer only how a site ranks but whether an AI model can read it, identify the company behind it and cite it accurately.
The Siolfur Index runs 54 deterministic checks across six areas: AI Discoverability, Digital Identity, Technical Health, Content Relevance, Brand Trust and Customer Match. Each check is a pass or fail against a published standard, so the score is reproducible rather than estimated.
SEO optimises for ranking in a list of links. GEO optimises for being read and quoted by a model that answers directly. The two overlap on technical hygiene, but GEO adds requirements SEO does not test, such as llms.txt, entity resolution and whether an AI assistant names the brand unprompted.
05 — Get your baseline
Establish your baseline and see exactly what AI models see.