Extractability Playbook
Write clear answers, then measure AI citations
Make the answer, evidence and next step easy to find. Read GEO experiments within their limits, improve the passages that need work and track citations without promising a fixed lift.
v1.1 · October 2026 · Tenten GEO Research
CH.01
Make the answer understandable in context
A useful passage states its subject, answers a real question and supplies enough context to assess the answer. Clear structure helps readers; it does not guarantee selection by an AI system.
Check whether someone arriving at a subsection can understand the claim without guessing what “it” refers to. Name the product, method or population when ambiguity matters. Keep qualifications beside the claim, and link to the fuller explanation when the answer depends on earlier material.
Public AI search services do not expose one common extraction pipeline. Avoid assuming that every engine reads only isolated paragraphs, ignores the rest of the page or copies a sentence verbatim. An accurate, self-contained explanation is a writing choice; citation remains an outcome to observe.

Chapter Takeaway
Start with a reader problem you can identify: a buried answer, an unclear subject or an unsupported claim. Fix that problem before optimizing for an assumed machine preference.
CH.02
What the original GEO experiment measured
Aggarwal and colleagues’ KDD 2024 paper used a 10,000-query benchmark with a 1,000-query test split. Its main system supplied Google’s top five source texts to GPT-3.5-turbo. These are experimental conditions, not a specification for today’s public search products.
The paper’s Table 1 reports best improvements of 41% for Position-Adjusted Word Count and 28% for Subjective Impression. They are relative changes in two visibility metrics, not fixed effects assigned to statistics, external links and quotations, nor percentage-point changes in citation frequency.
Keep the experimental setting with the result
The 115.1% Cite Sources result concerns rank-five sources in an experiment optimizing all five sources together. A separate Perplexity test used 200 examples with uploaded source files. Neither establishes a predictable lift after editing a live page. Use relevant evidence because it supports the answer; never invent a statistic or quote to imitate a treatment.
CH.03
Give each paragraph a clear job
Use a direct answer when the reader needs one, then provide the explanation and evidence needed to understand it. Keep a narrative when the story or sequence is part of the task.
Read headings and opening sentences together. They should explain what the page covers and where to go next. Do not force every paragraph into a definition, repeat nouns mechanically or strip away a qualification just to make a sentence easy to quote.
STEP 1
Answer the actual question
State the decision, definition or instruction the reader came for. Keep the condition that changes the answer close to it.
STEP 2
Supply enough context
Use one main idea per paragraph where practical. Two to four sentences can be an editing starting point, not a requirement for search or citation.
STEP 3
Make evidence traceable
Use headings and lists when they clarify the task. Put the source, date and scope beside a material factual claim; include a quotation only when its wording matters.
Remove repeated introductions and claims that add no information. Keep examples, exceptions and longer explanations when they help someone use the answer correctly. The goal is a complete answer with less effort for the reader.
CH.04
Put important information where readers need it
Opening with the main point can reduce the work of finding it. It is a useful editorial choice, not a universal rule that the first 30% of every page controls citation.
Position among citations is not a chance of being cited
CXL’s public post describes 100 AI Overview citations, with 55% in the first 30% of the cited content. It describes where selected citations appeared. Without a suitable comparison it cannot show that moving a paragraph there will increase its chance of selection.
Google’s AI Search guidance says there is no ideal page length and no need to split content into tiny chunks for AI systems. Start with the reader’s task: a short practical question may need a brief answer; an explanation may need definitions, a worked example and exceptions.
A 40–60-word opening can be a drafting exercise for English content, not a template to impose on every language or topic. Use only the length needed to orient the reader. Place essential limitations beside the answer and let the rest of the page supply depth.
CH.05
Measure changes without calling every comparison an A/B test
A live page’s before-and-after citation record is observational. Retrieval, indexing, model behavior, competitors and demand can change at the same time. A cleaner paragraph may be worthwhile even when citations do not immediately change.
Choose a relevant prompt set and record the surface, language, location, account state, dates, page version and cited URLs. A starter set of 50–100 prompts is a planning choice, not a statistical guarantee. Keep failed requests and missing observations separate from complete answers without your URL. Use a consistent denominator and repeat schedule.
| Change | Reader check | Measurement question |
|---|---|---|
| Lead with the answer | Can the reader find the conclusion? | Did the same task become easier to complete? |
| Clarify a statistic | Are source, population and period stated? | Did the answer retain the correct number and scope? |
| Add a relevant source | Does it support the nearby claim? | Was the intended URL cited, rather than merely the brand mentioned? |
| Use a quotation | Does the wording add useful meaning? | Did the output represent the speaker and claim accurately? |
| Reorder a section | Are qualifications and next steps still easy to find? | What changed alongside the edit, and what remains uncertain? |
Tenten’s suggested questions for a documented comparison; no expected lift is assigned to an edit.
A controlled test needs a suitable assignment method and comparable conditions. A system you operate can test supplied versions under fixed retrieval settings; that result remains specific to that system. On public search, report the observed change and competing explanations. Do not publish duplicate pages merely to manufacture an “A/B” comparison or treat an API response as the consumer interface.
CH.06
Finish with a short editorial check
Check the material claims and the main reading path before publication. Revisit a passed check when the relevant content changes or a specific problem appears.
Use this as a practical worklist. Mark an item as unresolved when evidence is missing; use “not applicable” when the page has no reason to include it. A page does not need a statistic, expert quote and chart just to satisfy a template.
POSITION
Answer easy to find
Can a reader identify the main answer and the conditions that change it without searching through repeated introductions?
STRUCTURE
Context stays intact
Are the subject, scope and relationships clear? Can a subsection make sense without removing important nuance?
TRUST
Claims have appropriate support
Do numbers, quotations and comparisons have sources that support them? Is an illustration clearly distinguished from a measured result?
VALIDATION
Measurement matches the question
If you are evaluating citations, have you recorded the page version, sample, denominator, missing observations and other changes? Keep the conclusion within that evidence.
Publish a complete, useful answer
Stop when the reader’s task is answered, the material facts are supported and the next step works. Keep citation tracking as feedback for future work, not as a promise that every clear paragraph will be selected.
Sources & Methodology
Reviewed October 5, 2026. Original GEO experiment: Aggarwal et al., KDD 2024, arXiv v3; Table 1, Table 2 and Appendix C.1. https://arxiv.org/html/2311.09735v3 Google’s current AI guidance: https://developers.google.com/search/docs/fundamentals/ai-optimization-guide CXL’s placement observation: https://www.linkedin.com/posts/cxldotcom_we-analyzed-100-google-ai-overview-citations-activity-7435376188954480642-_vhS The earlier 24-point and Digidop daily-count claims are not used as validated effects; accessible sources did not establish their methods. Editorial steps and the comparison matrix are Tenten recommendations. No client lift, independent replication or universal citation rule is claimed.
© 2026 Tenten GEO · Cite this whitepaper freely with attribution.
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