Sonar: Live Research and Market Intelligence
The other three models reason from training data with a cutoff date. Sonar reasons from the web as it is right now, which is the only way to know what is currently ranking and whether a claim is still true.
Why this model for this job
SEO is a moving target. Results pages change weekly, competitors publish continuously, and a statistic accurate last year is a liability today. A model working from frozen training data cannot see any of that.
Sonar retrieves and reasons over live sources with citations attached, which turns "I believe this is true" into "here is where this came from and when".
What it does inside Titan
Before content is briefed, Sonar reads the current results page and reports what format is actually winning, which subtopics every winner covers, and what none of them answer.
After content is drafted, it verifies each factual claim against live sources and attaches the citation, or flags the claim for removal.
- Reads live results pages to establish real intent instead of inferring it
- Tracks competitor publishing and positional movement continuously
- Verifies statistics, dates, and named facts against current sources
- Surfaces trend and news signals that create short-lived opportunities
- Supplies the corroboration that makes a page citable by answer engines
How it feeds the other three
Sonar is the reality check for the whole system. It tells Gemini whether a technical pattern is actually punished in live results, tells GPT what the current winners look like before a word is written, and gives Claude verifiable sources to validate against rather than intuition.
It is also the model most directly aligned with AEO, because being cited by an answer engine depends on the same corroboration Sonar looks for.
Where it needs the others
Retrieval finds what exists, not what matters. Sonar will return current, accurate, and strategically irrelevant information as readily as the useful kind, and live sources include confident nonsense.
Claude weighs source quality and strategic relevance, and Gemini decides whether the finding is even actionable on your site.
Frequently asked questions
- How current is the research?
- Live at query time. Results-page reads and claim verification happen against the web as it exists during the run.
- Does this help with AI citations?
- Directly. Answer engines favor corroborated, dated, specific claims, which is exactly what this pass enforces.
Put four frontier models to work on this
Start with a free AI site scan, or compare AI SEO against traditional agency retainers before you commit to anything.
Keep reading
GPT: The Content and Authority Builder
GPT drafts. It is the strongest generalist writer in the stack, which makes it right for structure, coverage, and voice, and wrong for anything that must be true without being checked.
Claude: Reasoning and Validation Guardian
Claude does not generate the work. It attacks it. Every recommendation and every draft passes an adversarial review whose job is to find the reason this should not ship.
Four Models, One Loop: How Reciprocity Works
Four models do not help because four is more than one. They help because each one checks a failure mode the others cannot see, and the output of each becomes the input of the next.