Perplexity Optimisation
in Goa

What Perplexity Optimisation means

Perplexity composes researched answers and credits the pages it used, unlike assistants that answer without attribution. Optimising for it means producing the content types it favours as sources: clearly structured explanations, specific figures, original observations, and pages where a claim can be verified quickly. Citation there produces measurable click-through rather than brand mention alone.

How AI systems choose which sources to cite

Language models and AI search products do not rank pages the way a classic search engine does. They assemble an answer and attribute it. The factors that determine whether your brand appears are:

• Topical depth — comprehensive coverage of a subject rather than thin pages spread across many.
• Corroboration — the same facts about your business appearing consistently across independent sources.
• Machine-readable structure — clean markup and schema so systems can parse claims without ambiguity.
• Entity consistency — name, location, services and contact details identical everywhere they appear.
• Verifiable specifics — concrete figures, dates and named details rather than unfalsifiable marketing language.
• Recency — content that is maintained, since stale pages are deprioritised.
• Demonstrated expertise — named authors, real credentials, genuine first-hand experience.

What we deliver

• Baseline visibility audit — we query the major assistants on the prompts your buyers would realistically use and record whether you appear.
• Gap analysis — which competitors are being surfaced instead, and what they have that you do not.
• Content restructuring — reshaping existing pages so claims are extractable and attributable.
• Entity and schema work — structured data, consistent business facts, and an llms.txt manifest.
• Corroboration building — accurate, consistent brand references across independent third-party sources.
• Ongoing monitoring — repeat prompt testing so you can see movement rather than guess at it.

SEO, GEO, AEO and LLMO — the distinction

These terms get used interchangeably and should not be. Each targets a different surface:

• SEO — ranking in conventional search result listings.
• GEO — being cited inside AI-generated overviews that sit above those listings.
• AEO — being served as the direct answer, including featured snippets and voice responses.
• LLMO — being recalled and recommended by a language model when asked for options in your category.

We deliver these as one programme. They share most of the same underlying work, and splitting them across separate vendors produces duplicated effort and conflicting recommendations.

What we report

Monthly, against a fixed prompt set so results are comparable month-to-month: whether your brand appeared, in what position within the answer, which competitors appeared alongside you, and which of your pages were used as the source. Alongside this, conventional search metrics, since the same work lifts both.

Why Sanctify

Because Perplexity attributes sources, this is one of the few AI surfaces where results are directly observable — we can see which client pages get cited and on which queries. That feedback loop informs the work. We test against an agreed query set, strengthen the pages that nearly qualify, and report on citations gained.