GEO Services
Part of SEO Services
In short
Generative Engine Optimization (GEO) is the practice of making content retrievable and citable by generative search systems such as ChatGPT, Perplexity, Gemini and Google AI Overviews. Offsage implements GEO through clean entity data, answer-first structure, dated and authored content, and machine-readable files including llms.txt. GEO engagements start at $2,500 per month.
Key takeaways
- GEO targets generative systems; AEO targets answer extraction. The two overlap heavily and are run as one workstream.
- Retrieval depends on entity clarity — a model has to know who published a claim before it will attribute it.
- Content freshness and explicit dating matter more in generative retrieval than in classic ranking.
- Machine-readable surfaces such as llms.txt and complete structured data reduce ambiguity about what your site is and offers.
By Sai Abhipsa Dash, Co-Founder & CEO. Last reviewed 8 October 2026.
How this works
Generative engines assemble answers from retrieved passages rather than returning a ranked list. That makes two things decisive: whether your content is retrievable at all, and whether the engine can attribute a claim to a credible, identifiable publisher. GEO addresses both — the first through structure and machine-readability, the second through entity consistency.
Offsage treats entity data as infrastructure. One organisation name, description, logo, contact point and set of verified profiles, asserted identically in visible content and in structured data, across every page. Person nodes for the people who actually do the work, with resolvable identities. Dated content with a named author. These are not ranking tricks; they are what allows a system to decide your page is a source rather than an unattributed text fragment.
Offsage also publishes machine-readable orientation files — llms.txt and llms-full.txt — describing the organisation, its services and its key pages, so a crawler does not have to infer structure from markup alone. Again, the honest framing: this makes the site legible. It does not compel any model to cite it.
What this covers
- Entity architecture: consistent Organization, Person and Service nodes across the site
- Machine-readable files: llms.txt, llms-full.txt, complete structured data
- Answer-first content structure and extractable formatting
- Named authorship, credentials and content dating
- Retrieval-friendly information architecture and internal linking
- Cross-engine citation monitoring and reporting
- Technical foundation work: crawlability, rendering, canonical correctness
Typical stack
- Schema.org
- llms.txt
- Next.js
- Google Search Console
Indicative pricing
Directional starting points, not ceilings. Final scope is agreed after a free 30-minute strategy call.
GEO audit
An assessment of entity clarity, retrievability and citation readiness across your key pages, with a prioritised implementation plan.
From $1,500
AI search optimisation
Ongoing GEO implementation: entity and schema infrastructure, machine-readable files, content restructuring, and cross-engine citation monitoring.
From $2,500/month
See all pricing ranges across every service, including retainers and terms.
Questions on geo services
GEO — Generative Engine Optimization — targets generative systems that synthesise answers, such as ChatGPT, Perplexity and Gemini. AEO — Answer Engine Optimization — targets answer extraction, including Google AI Overviews and featured snippets. The techniques overlap substantially, and Offsage runs them as a single workstream rather than pretending they are separate products.
llms.txt is a proposed convention for giving language models a curated, machine-readable summary of a site: what the organisation is, what it offers, and which pages matter. Adoption by model providers is not universal, so Offsage treats it as a low-cost clarity measure rather than a proven ranking lever. It is published alongside structured data, not instead of it.
SEO optimises for a ranked list; GEO optimises for retrieval and attribution inside a generated answer. The technical foundation — crawlability, rendering, speed, canonical correctness — is shared and still required. GEO adds emphasis on entity consistency, explicit dating, named authorship and machine-readable structure.
Yes. Offsage monitors branded mentions and citation appearances across the major generative surfaces and reports movement over time. Because model outputs vary between runs and users, this is reported as an observed trend with the methodology stated, not as a precise ranking position.
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