This series interprets the 2027 SME GEO White Paper. Part 2 focuses on the most hands-on part: the 90-day four-stage implementation path, its deliverables and division of labour, four typical failure modes, and how to set an acceptable metric system and review monthly.
This is Part 2 of the interpretation of the 2027 SME GEO White Paper, focusing on the 90-day implementation path in the white paper - and the organisational coordination most easily overlooked during implementation.
I. Days 0-30: diagnosis and foundation
Goal: understand the status and fix the first threshold AI reads.
- Actions: AI visibility diagnosis, information architecture sorting, Schema.org deployment, fact-tone unification, performance checks;
- Deliverables: baseline report, official-website retrofit list, structured-markup deployment list;
- Division of labour: marketing provides tone and high-intent questions, tech owns structure and performance, both confirm Schema together;
- Acceptance: passes the 'visible - credible - citable' three-word test; baseline metrics documented.
II. Days 30-60: content feeding
Goal: give AI something to cite.
- Actions: produce answer pages by high-intent question, each with conclusion upfront and extractable alone; build a parametric fact list per product; distribute to vertical platforms;
- Deliverables: 10-30 answer pages, fact-list document, content calendar;
- Division of labour: sales provides high-frequency questions and real objections, content owns structured answer organisation;
- Acceptance: target questions can be answered directly by engines, and the answer originates from our content.
III. Days 60-90: source building and capture
Goal: close the loop of fact verification.
- Actions: lay out third-party sources and unify tone, fill in encyclopedias and review-type info; simultaneously build answer-level landing pages and lead components;
- Deliverables: source-matrix list, capture-path map, lead follow-up SOP;
- Division of labour: marketing owns external consistency, sales owns lead capture and scripts;
- Acceptance: core entities can be cross-searched from third parties; AI-source leads are identifiable, trackable and attributable.
IV. Post-90 days: monitoring and iteration
GEO is not a project that ends at launch. Run a monthly 'monitor - attribute - fix - re-feed' loop:
- Monitor: re-run the diagnosis, update the four metrics (mention rate, citation rate, recommendation position, statement accuracy);
- Attribute: connect changes to specific actions (official-website retrofit, a certain answer page, a certain source);
- Fix: prioritise fixing 'statement accuracy' problems - being mis-cited is more dangerous than not being cited;
- Re-feed: replicate validated content types, converge ineffective spending.
V. Four typical failure modes
- Skipping the base: publishing heavily before the official website is organised amplifies wrong facts;
- Metric mismatch: measuring GEO by ranking and exposure, ignoring that citation and recommendation are the core;
- One-off investment: done and stopped, declining from the third month;
- Missing capture: recommended but with no lead path and follow-up, wasting traffic.
VI. An acceptance framework you can take to the table
Suggested three-tier metrics, each with a clear owner and check frequency:
- Visible layer (monthly): mention rate, recommendation position;
- Quality layer (monthly): citation rate, statement accuracy;
- Business layer (quarterly): AI-source lead count, lead quality, deal conversion.
Closing
The essence of GEO is not a one-off marketing campaign, but a systematic rebuild of information assets. Treat it as a project and ninety days is enough to show results; treat it as an asset and it compounds continuously.