30-Day SEO, GEO & AEO Sprint — turn your website into an answer-ready growth system.
SEO + GEO + AEO
30-Day SEO, GEO & AEO Sprint — turn your website into an answer-ready growth system.
A focused four-week engagement combining technical SEO, search intent, entity architecture, answer engineering, AI visibility and analytics — built to improve how people and answer engines discover, understand and trust your brand.
Definition
What is 30-Day SEO, GEO & AEO Sprint?
A 30-Day SEO, GEO & AEO Sprint is a focused optimisation programme that connects technical SEO, search intent, entity architecture, answer-ready content, AI visibility and analytics. The objective is to make a website easier to crawl, understand, retrieve, cite and convert — while keeping SEO fundamentals at the centre.
What's included
Outcomes you walk away with.
- A baseline covering organic search visibility, target intents, technical health, entities, citations and AI-answer presence.
- A question-to-intent-to-URL map connecting commercial questions with the page that should answer each one.
- A semantic internal-linking architecture connecting service pages, solution pages, playbooks, case studies and supporting content.
- Answer-first content improvements with concise definitions, explicit answers, evidence, authorship and contextual depth.
- Entity and structured-data improvements aligned with the visible content and the site's information architecture.
- A measurement framework combining Google Search Console, analytics, AI prompt coverage, mentions, citations and qualified actions.
Process
How the engagement runs.
- 01
Week 01 — Diagnose: establish the baseline
Audit technical SEO, crawlability, indexation, rendering, canonicals, internal links, structured data and content intent. Establish a fixed AI-search prompt set and record visibility, mentions and citations. Identify the entities, topics and commercial questions that matter most.
- 02
Week 02 — Structure: build the search and answer architecture
Map entities, topics, questions, intents and URLs. Define the role of each page and strengthen the internal-link graph so authority flows from broad topical resources to commercial service and conversion pages. Align schema with the information users can actually see.
- 03
Week 03 — Optimise: ship SEO, GEO and AEO improvements
Improve priority pages for search intent and answer retrieval: question-led sections, direct answers, evidence, source context, entity references, internal links and relevant structured data. Fix the highest-impact technical SEO blockers in parallel.
- 04
Week 04 — Prove: measure, learn and prioritise
Repeat the same prompt set, compare AI visibility and citation coverage, review Search Console and analytics trends, validate indexation and technical changes, then convert the findings into a prioritised 90-day roadmap.
Client example
From fragmented expertise to a measurable answer system.
An anonymised B2B technology engagement: credible expertise existed, but important commercial answers were distributed across the site and AI visibility was not being measured as a distinct acquisition surface.
Before
Unclear topic relationships, indirect answers, inconsistent internal-link context and no repeatable AI visibility baseline.
Sprint
Mapped intent and entities, strengthened technical SEO, rebuilt priority answer paths, improved evidence and connected supporting content to commercial pages.
Measured outcome
A repeatable scorecard for search performance, AI prompt coverage, mentions, citations and qualified actions — with a 90-day roadmap for continued improvement.
Measurement model
Visibility is not the KPI. Business movement is.
Discovery
Crawlability, indexation, indexed priority URLs, organic impressions and query coverage.
Answer visibility
Prompt coverage, answer relevance, brand mentions, citation/source coverage and competitor presence.
Business impact
Qualified actions, booked calls, engaged landing sessions and assisted conversion signals where attribution is trustworthy.
FAQ
30-Day SEO, GEO & AEO Sprint — frequently asked.
SEO improves a site's ability to be discovered and ranked in conventional search. AEO structures information so search and answer systems can extract clear responses to questions. GEO extends this into generative search, focusing on whether a brand is understood, surfaced, mentioned and cited in AI-generated answers. A strong strategy connects all three rather than treating them as separate channels.
No. Technical SEO, crawlability, indexation, relevance, useful content and authority remain foundational. GEO and AEO extend the optimisation model to additional retrieval and answer surfaces. The sprint therefore starts with SEO fundamentals before layering entity, answer and AI-visibility work on top.
Use a controlled measurement set rather than a single AI response. Track target-prompt coverage, brand mentions, citation/source coverage, search impressions and clicks, landing-page engagement and qualified business actions where reliable analytics is available. Repeat the same questions over time so changes are comparable.
Internal links help search systems discover pages and help machines interpret relationships between entities, topics, services and evidence. A useful architecture connects supporting answers and topical resources to the commercial pages they support, rather than treating every page as an isolated document.
No. Search rankings and AI retrieval are controlled by external systems and can change. A responsible sprint controls the inputs: technical accessibility, information architecture, content quality, entity clarity, evidence, internal linking and measurement. The outcome is a stronger, testable system — not a guaranteed position in an AI answer.
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