Generative Engine Optimization

Why most GEO work fails

Because it is treated as an on-page exercise. Teams add FAQ schema, restructure a few headings, and wait. Nothing happens, because the model was never uncertain about your page — it was uncertain about your brand.

AI systems do not trust webpages. They trust entities: recognisable brands and people with a clear niche identity, high-authority mentions, repeated citations and consistent descriptions across sources. If your brand is not seen across multiple trusted sites, no amount of on-page work will get you recommended.

The four pillars we build

Pillar 1 — Entity authority

We make your brand resolvable. Exact name consistency everywhere, defined business categories, founder and CEO entity association, one authoritative About page, and Organization plus Person schema wired to real profiles. Then we build the entity cluster: the set of independent sources that all describe you the same way. That consistency is what creates the trust loop.

Pillar 2 — The citation stack

This is where 95% of brands fail, and it is the highest-leverage work we do. AI weights third-party validation above your own site.

• Tier 1 (mandatory): G2, Capterra, Trustpilot, Crunchbase, Product Hunt, Reddit, Quora.
• Tier 2 (amplifiers): founder guest posts, industry blogs, podcast show notes, LinkedIn newsletters, community mentions.

When a model sees the same brand confirmed across trusted, independent sources, it reads that repetition as authority consensus. That is the signal we are manufacturing, legitimately, at cadence.

Pillar 3 — Retrieval-ready content

AI does not retrieve blog posts. It retrieves answers. Every page we build or rewrite follows the same structure: a one-sentence problem statement, a straight answer paragraph, bullet explanations, examples with real data, entity references, and a visible last-modified date.

What we stop writing: long essay-style content, keyword-stuffed copy, story intros and opinion without evidence. What we write instead: lists, tables, comparison matrices, step frameworks and FAQs with real paragraph answers. Density, structure, clarity.

Pillar 4 — The 30-day refresh loop

Publishing once is useless. Retrieval favours recently updated pages with current facts. Every thirty days we update statistics, add new FAQs, expand clarification bullets, rebuild internal links and re-share across three platforms.

Competitor citation reverse-engineering

Your unfair advantage, and the first thing we run. Instead of guessing, we take the brands already appearing in AI answers for your category, export every domain cited alongside them, and analyse where they are mentioned, which pages the models pull from and what anchor wording is used. Then we replicate the placements, publish better authority content and out-network them on the same platforms. Faster indexing, higher citation likelihood, far less trial and error.

How we measure it

Two tracks, reported monthly. Automated citation tracking gives volume and page-level attribution. Controlled prompt testing runs a fixed prompt set for your category weekly across ChatGPT, Perplexity and Gemini, logging brand mentions, cited sources and frequency. Most AI trackers are unreliable on their own; the manual layer is what makes the number trustworthy.