DOCS 01 ANALYSIS METHODOLOGY

How TextRank analyzes content for AI answers

TextRank checks whether your page answers a real user question, how it compares with competitor sources and which passage is best suited for use in an AI answer.

Important: the audit result sets priorities for content work. It shows the page's strengths and the elements worth developing for a specific question.

Content matters, and so does whether customers and AI understand it

TextRank analyzes the presence of important concepts and the meaning of the complete message. A strong passage clearly names the product, action and conditions. This helps customers and AI systems understand it even outside the context of the full page.

GENERAL CLAIM

“TextRank provides comprehensive content analysis for AI visibility.”

EVIDENCE-BACKED CLAIM

“TextRank compares a page with GPT, Gemini, Claude and Grok answers for a selected prompt, then identifies passages that need data, sources or context.”

CONTEXT

SEO helps a page get found. GEO helps its content get used.

SEO helps make a page accessible, understandable to search engines and aligned with query intent. Technically accessible and readable content can enter the set of sources analyzed by an AI system.

GEO and AEO go a step further. They assess whether content answers a natural question, presents credible evidence and makes a specific passage easy to use in an AI-generated answer.

In short: SEO helps a page enter the pool of possible sources. GEO helps prove that your source deserves to be selected.

PROCESS

Analysis step by step

Choose the question and intent.Determine what the user is really looking for and which conditions matter, such as budget, industry or market.
Retrieve and split the content.Read the page structure, check accessibility and divide the text into self-contained passages.
Identify entities and claims.Find products, problems, features, outcomes and individual statements that should be supported.
Calculate Retrieval.Assess whether a specific URL fits the question and can enter the candidate source pool.
Collect competing sources.Check which pages answer the same question and are surfaced by AI models.
Calculate Selection.Compare source passages and identify which ones best support each important claim.
Choose a passage to improve.Define the additions needed: specificity, evidence, context, freshness or a clearer format.
Run a re-test.Compare the result before and after the change, then monitor mentions and citations over time.

VISIBILITY MODEL

From question to citation in three stages

AI first looks for sources, then selects the strongest evidence and only then uses a specific passage. TextRank checks every stage separately, showing what to improve and which qualities give competitors an advantage.

RetrievalSelectionCitation Opportunity

Retrieval

Will the page enter the source pool?

We compare a specific prompt with a specific URL. We check topic and intent fit, important concepts, freshness, page depth and technical accessibility. The result describes the URL's strength as an answer candidate and identifies areas that need development.

Selection

Why should AI choose this source?

We break the answer into individual claims, such as a feature, price or implementation time, and compare sources for each one. We check whether a passage supports the claim directly, contains concrete data and comes from an appropriate source. The result identifies the strongest evidence and the elements that would improve your content against competitors.

GENERAL CLAIM

“Advanced Shopify integration.”

EVIDENCE-BACKED CLAIM

“The Shopify integration synchronizes orders, customers and products every five minutes; it is available from the Pro plan.”

The second passage states the scope, frequency and condition. The model gets a ready-to-use fact with the context required for an answer.

Citation Opportunity

Which passage can be used?

We select the passage that best supports the answer after Retrieval and Selection. We check directness, complete context, evidence and whether the passage keeps its meaning outside the page. The result sets the order of changes and shows the passage's potential for use in an AI answer.

The full model at a glance

Stage	Question we answer	What can be improved
Retrieval	Is this page a strong candidate for the prompt?	URL topic, intent, entities, structure, freshness and technical accessibility
Selection	Why should this source support the claim?	Directness, specificity, evidence, method, first-party data and source credibility
Citation Opportunity	Which passage is best suited for use?	Answer-first structure, context, conditions, list/table/FAQ format and readable HTML

WHAT WE OFFER

From customer questions to a ready-to-use action plan

Customer prompt discovery

What are potential customers asking AI systems?

We analyse your brand, product, audience and market language. From that context, we discover and generate natural questions about problems, choices, pricing, implementation, risk, comparisons and alternatives, then prioritise them by intent and business value.

AI competitor analysis

Which sources do Claude, GPT, Gemini and Grok surface and reference?

We review model responses for selected prompts, identify the companies, domains and pages they mention, and show what distinguishes those sources: clearer answers, stronger data, better examples, structure, entities or credibility.

Content gap verification

What is your page missing compared with referenced sources?

We compare your page sentence by sentence with competing content. We identify missing questions, keywords, entities, facts, evidence and sections, and show which vague or incomplete answers make the content harder to use for a specific prompt and model.

Content and change plan

What should you keep, rewrite or add to make the answer stronger?

We create a prioritised implementation plan covering passages to improve, new content opportunities, answer-first responses, and places for data, sources, examples, tables and FAQs. You get specific tasks, ready to execute or delegate.

GLOSSARY

Definitions used in the report

SEO: Work that helps a search engine find, understand and display a page in results. In GEO, SEO remains the foundation that gives AI systems access to useful content.
GEO / AEO: Work that helps content answer natural questions clearly and become usable in a generative answer. It combines SEO foundations with readability, credibility and information structure.
Prompt: A user question or instruction for which we analyze the answer and brand visibility.
Intent: The goal behind a prompt: definition, problem solving, comparison, recommendation, purchase or risk assessment.
Entity: An unambiguously named thing or concept, such as a brand, product, service, audience, method, competitor or outcome.
Claim: A single statement that can be checked and supported by a source, such as “the product integrates with Shopify” or “the Pro plan costs X”.
Passage (chunk): A self-contained content unit: an answer-led heading, paragraph, list item, table row, FAQ or case-study excerpt.
Retrieval: The stage where we assess whether a specific URL can become a candidate source for a given prompt.
Selection: The stage where found sources are compared to identify which one supports a specific claim best and most safely.
Citation Opportunity: A relative indicator of a passage's potential for use after retrieval, selection and passage assessment. It sets the priority for content work.
Extractability: How easily a passage can be separated without losing meaning, which is important when creating concise answers and citations.
Semantic gap: The difference between analyzed content and cited competitors across important information, entities, relationships, questions or formats.