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Sayfitech
SEO & AI search

Semantic SEO

Entities, relationships and topical coverage modelled the way search engines model them.

Engagement
Fixed-scope engagement, one entity set per pass
Typical timeline
5 weeks
Starts with
A full content inventory mapped against the subjects you want to be known for.
01The situation

Search engines stopped matching keywords and started matching subjects. Your site mentions the right words across forty pages, yet nothing on it establishes that your company is an authority on any single subject.

Why it matters

Rankings that hold because the site demonstrably knows the subject.

Be the answer, in Google and in AI.

What we build

Concrete artefacts, handed over and documented.

  1. 01

    An entity map of your business: the products, subjects, people and places a search engine should associate with your name

  2. 02

    A topic model showing which subjects you cover thoroughly, which you mention once, and which you claim without support

  3. 03

    A consolidation plan naming the pages to merge, because three weak pages on one subject lose to one strong one

  4. 04

    Structured data connecting your pages to recognised entities rather than leaving them as free text

  5. 05

    Entity home clean-up across your organisation schema, Wikidata and the profiles engines read when they check who you are

What changes

01

Search engines associate your organisation with a defined, deliberate set of subjects

02

Pages rank for terms you never explicitly targeted, because the subject is covered rather than the phrase

03

Cannibalisation ends: one page per subject, chosen rather than accumulated

How it runs

Weeks 1–2

01Entity and topic map

Every page inventoried against the subjects you want to own, which usually exposes both duplication and gaps.

Weeks 3–4

02Consolidation and markup

Merges executed with redirects, then schema and internal links rewritten to state the relationships explicitly.

Week 5

03Entity home clean-up

Your organisation record tidied across the sources engines cross-check, so the same facts appear everywhere.

06Typical stack

Chosen per project. Named here so you can see the shape of it.

  • Ahrefs
  • Google Search Console
  • Wikidata
  • Screaming Frog
  • InLinks

Questions we get asked

Next step

Tell us the outcome, not the tooling.

Send us the situation you are in. We will tell you which discipline it belongs to, what we would do first and what it costs, including when the answer is to wait.

Start a projectOr email us directlyinfo@sayfi.ai