Tutorials
Tutorials for the tool you have open
These are for someone who is already in a product and needs to know what the screen is showing, what usually goes wrong, and what not to conclude. They are grouped by product. For the measurement concepts behind ViziGEO, use the guides.
Google Search Console
Google Search Console Sitemap Errors: a deterministic diagnosis workflow
Diagnose Google Search Console sitemap errors by separating fetch, XML, URL-access and site-level blockers before resubmitting.
Google Search Console Performance report: read clicks and impressions safely
Read the Search Console Performance report without treating impressions as visits or clicks as conversions.
Google Search Console URL Inspection: diagnose one URL safely
Use URL Inspection to separate Google access, canonical, indexing and live-test evidence for one URL.
Google Search Console Core Web Vitals: prioritize real UX issues
Use Core Web Vitals groups and page-level evidence to prioritize performance work without treating the report as a ranking guarantee.
Google Search Console Crawl Stats: interpret host-level evidence
Use Crawl Stats to review Googlebot activity without treating it as a complete traffic or ranking report.
Google Rich Results Test: validate markup and visible content
Compare structured data with the page users and crawlers actually receive.
Google Search Console Validate Fix: verify an indexing change
Use Validate Fix evidence to check whether an indexing issue changed after a controlled technical repair.
Google Search Console robots.txt report: check crawler access safely
Review robots.txt evidence and blocked paths without treating robots.txt as a privacy or access-control mechanism.
Google Search Console Page indexing report: diagnose status safely
Use the Page indexing report to separate indexed, not-indexed and duplicate URL evidence before making technical changes.
Google Search Console HTTPS report: diagnose secure URL signals
Review HTTP versus HTTPS indexing evidence, canonical signals and sitemap references before changing redirects.
Search Console duplicate canonical QA: choose the right URL
Diagnose duplicate URL and canonical evidence before changing templates, redirects or internal links.
Search Console Video indexing report QA
Interpret video-indexing status by separating indexed pages, watch-page eligibility, thumbnails and crawl evidence.
Search Console Removals tool: temporary block QA
Use the Search Console Removals tool carefully, distinguishing a temporary search blackout from permanent content removal.
Search Console Search Appearance QA
Use Search Console Search Appearance evidence to separate eligible result features from actual clicks, impressions and page indexing.
Search Console Links report QA
Use the Links report as a sampled backlink and internal-link evidence source without treating it as a complete link inventory.
Search Console Security Issues report QA
Triage Search Console security findings without exposing infected pages, and document a complete fix before requesting review.
Search Console Manual Actions QA
Review manual-action scope and evidence before fixing spam-policy issues and submitting a reconsideration request.
Search Console URL Inspection QA
Inspect a specific URL, compare indexed and live evidence, and request indexing only after the page is technically ready.
Search Console Change of Address QA
Prepare a domain move with verified redirects, ownership and sitemap evidence before using Search Console Change of Address.
GA4
GA4 Custom Channel Groups: build a safe acquisition reporting view
Create a GA4 custom channel group for a reviewable acquisition scorecard without overwriting default channel definitions.
GA4 Key Events: define conversion evidence without overclaiming
Mark a GA4 event as a key event only after the event definition, parameters and reporting scope are verified.
GA4 UTM traffic acquisition: build a clean source ledger
Use consistent UTM conventions and GA4 acquisition reports to separate campaign evidence from direct and referral traffic.
GA4 DebugView: verify one event without polluting reporting
Verify GA4 event names and parameters in a controlled test before relying on production reports.
GA4 Event Naming Rules: keep analytics events reviewable
Create a consistent GA4 event naming convention before adding new events or custom parameters.
GA4 custom metric and event parameter QA
Verify a GA4 custom metric against its event parameter and reporting scope before using it in decisions.
GA4 event-scoped custom dimension QA
Create an event-scoped custom dimension only after its parameter and reporting scope are verified.
GA4 purchase event revenue QA
Check purchase event parameters, item values and transaction IDs before trusting ecommerce revenue reports.
GA4 internal traffic filter QA
Test GA4 internal traffic rules before activating a permanent data filter that changes processed data.
GA4 signup funnel QA: measure registration intent safely
Verify signup, form and confirmation events before treating registration reports as growth evidence.
GA4 cross-domain measurement QA
Verify linker parameters and unified sessions when users move between configured domains.
GA4 unwanted referrals QA
Exclude payment or owned domains from referral attribution without hiding valuable external sources.
GA4 BigQuery export setup QA
Link GA4 to BigQuery with explicit permissions, location and cost checks before relying on exported event data.
GA4 audience definition and activation QA
Create GA4 audiences with explicit scope, sequence and membership rules before using them for reporting or ad activation.
GA4 data retention settings QA
Review GA4 user and event data retention before relying on long-range Explorations or funnel reports.
GA4 data deletion request QA
Preview a GA4 data-deletion request carefully before the irreversible deletion window completes.
GA4 key events QA
Mark only validated GA4 events as key events and document counting, permissions and reporting-delay assumptions.
GA4 session timeout QA
Review GA4 session timeout and engaged-session settings with documented measurement consequences before changing the defaults.
GA4 enhanced measurement QA
Enable only the GA4 enhanced measurement events you understand, and verify consent, parameters and privacy boundaries before relying on them.
GA4 Google signals QA
Review Google signals regions, permissions, consent and reporting consequences before enabling or changing the setting.
GA4 data filter QA
Review GA4 internal or developer traffic filters in testing mode before activating a permanent data change.
GA4 Conversion Event Reconciliation: prove sign-ups and email intent
Reconcile GTM dataLayer, GA4 events, key events, consent state, backend outcomes and source dimensions before trusting SEO conversion reports.
Google Tag Manager
GTM Preview and Debug: verify a tag before publishing
Use Google Tag Manager Preview to verify trigger conditions, dataLayer values and consent behavior before publishing a tag.
GTM Consent Mode debugging: verify signals before publish
Debug consent signals and tag behavior in Google Tag Manager without treating one browser test as production proof.
GTM export and import: review container changes safely
Use export and import to compare Google Tag Manager container changes before approving publish.
GTM dataLayer push QA: verify ecommerce event payloads
Inspect a dataLayer push and its variables in GTM Preview before connecting a production analytics tag.
GTM trigger exceptions: audit blocked tag behavior
Review firing triggers and exception triggers so a tag is blocked only under an intentional, testable condition.
GTM form submit tracking QA: avoid false lead conversions
Test form submit triggers, validation states and duplicate prevention before counting leads in GA4.
GTM custom event trigger QA
Use a restricted custom event trigger for interactions that standard GTM triggers cannot reliably capture.
GTM custom template review: sandboxed tag QA
Review Google Tag Manager custom templates and permissions before allowing a reusable tag or variable into a container.
GTM variables and trigger filters QA
Choose the right built-in or user-defined GTM variable and test its value before relying on a trigger filter.
GTM lookup and RegEx table QA
Use lookup or RegEx table variables with explicit defaults and ordered matches before routing tag values dynamically.
GTM container size and efficiency QA
Reduce unused tags, triggers, variables and custom code before a large GTM container becomes harder to test and maintain.
GTM built-in variables QA
Enable only the Google Tag Manager built-in variables needed by reviewed tags and triggers, then test empty and unexpected values.
GTM trigger filters QA
Restrict GTM triggers with explicit variables, operators and negative cases before allowing tags to fire.
GTM data layer variable QA
Read reviewed data layer values with exact, case-sensitive names and test missing values before sending them to tags.
Merchant Center
Merchant Center product data: review feed consistency before fixes
Audit Merchant Center product data by comparing feed values, landing-page output, availability and policy signals.
Merchant Center landing-page QA: match product data to the page
Review landing-page consistency before changing product data or requesting another fetch.
Merchant Center Needs Attention: triage product diagnostics
Triage Merchant Center product warnings by separating data, policy, landing-page and processing causes.
Merchant Center shipping settings QA
Review handling time, transit time, cutoffs and destination zones before publishing shipping settings.
Merchant Center product identifiers QA
Check GTIN, brand and MPN values without guessing identifiers or substituting internal SKUs.
Merchant Center return policy QA
Compare Merchant Center return settings with the public policy page before product eligibility changes.
Merchant Center data sources: primary vs supplemental QA
Choose primary and supplemental Merchant Center data sources correctly and verify product IDs, labels and processing evidence.
Merchant Center product status QA
Use product status and issue details to separate visibility, policy, data and processing problems before changing a feed.
Merchant Center custom labels QA
Design Merchant Center custom labels for campaign grouping and reporting without treating them as customer-facing product attributes.
Merchant Center product file QA
Prepare a Merchant Center product file with supported formats, mapped attributes and processing evidence before relying on the source.
Merchant Center product highlights QA
Write short, factual product highlights that answer shopper questions without repeating keywords or promotional claims.
Merchant Center product title QA
Write specific, accurate product titles that identify the item clearly without promotional claims or keyword stuffing.
Merchant Center availability QA
Keep Merchant Center availability, landing-page status, checkout and structured data aligned before relying on product eligibility.
Merchant Center product description QA
Write accurate, structured product descriptions that match the landing page and avoid promotional text or unrelated content.
Merchant Center sale price QA
Align sale price, regular price, effective dates and landing-page evidence before relying on promotional product data.
Shopify
Shopify Product Pages: a deterministic SEO and AI-readiness QA workflow
Audit a Shopify product page so its product data is clear, searchable and ready for supported catalog surfaces.
Shopify catalog product data QA: compare source and storefront
Review Shopify catalog fields, storefront output and channel readiness before making product visibility claims.
Shopify sitemap and Search Console QA: verify discovery signals
Check Shopify sitemap output, canonical URLs and Search Console discovery evidence before making indexation claims.
Shopify structured data QA for product pages
Review Shopify Product structured data against visible product content without promising rich results or catalog inclusion.
Shopify international canonical and hreflang QA
Audit Shopify market-specific canonical URLs, hreflang relationships and sitemap output for international stores.
Shopify collection page SEO QA: build category demand
Audit Shopify collection pages for unique intent, canonical consistency, internal links and crawlable product context.
Shopify title and meta description QA
Audit Shopify title tags, meta descriptions, headings and redirects against the page intent before publishing changes.
Shopify product image alt text QA
Write concise, descriptive Shopify image alt text that supports accessibility and content understanding without keyword stuffing.
Shopify URL redirects QA
Create and verify Shopify URL redirects only for broken URLs, with market and caching caveats documented.
Shopify product description QA
Write specific, scannable Shopify product descriptions with supported claims, useful details and a reviewable measurement plan.
Webflow
Webflow robots.txt and Content-Signal QA: a safe indexing workflow
Review Webflow robots.txt rules and Content-Signal settings without accidentally blocking a site or treating them as security controls.
Webflow canonical URL QA: check the URL search engines should use
Audit Webflow canonical output, redirects and internal links so one preferred URL is evidence-led and consistent.
Webflow sitemap and Search Console QA
Check Webflow sitemap output, canonical URLs and Search Console discovery evidence before changing site settings.
Webflow 301 redirects: build and QA a safe migration map
Create Webflow 301 redirect rules in the right order and verify the live destination after publishing.
Webflow SEO title and meta description QA
Set page-specific Webflow SEO metadata and verify the published output without keyword stuffing.
Webflow Open Graph settings QA
Set page-specific Open Graph title, description and image values and verify the shared link preview after publishing.
Webflow image alt text QA
Write specific, concise Webflow image alt text and mark decorative images correctly for accessibility and content understanding.
Webflow CMS SEO QA
Audit dynamic Webflow CMS title tags, meta descriptions and canonical output against the published collection template.
WordPress
WordPress Article schema QA: validate the page you actually publish
Review WordPress Article schema, visible authorship, dates and canonical output without promising rich results.
WordPress canonical URL QA: avoid conflicting page signals
Audit WordPress canonical output, redirects and internal links before changing SEO plugin settings.
WordPress robots.txt SEO QA
Review WordPress crawler directives without using robots.txt as a privacy or noindex mechanism.
WordPress XML sitemap QA
Review the WordPress-generated XML sitemap and robots reference without treating discovery as indexation.
WordPress permalink QA
Review WordPress permalink settings and representative URLs before changing a live URL structure.
AI visibility
AI visibility reporting dashboard brief: make change and action visible
Create an AI visibility reporting dashboard brief with stable KPIs, question scope, citation evidence, competitors, owners, alerts, traffic and conversion signals.
AI visibility evidence library: turn observations into reusable proof
Create an AI visibility evidence library for prompts, answers, citations, screenshots, URLs, timestamps, owners and decisions that content and SEO teams can reuse.
AI visibility signup CTA optimization: turn qualified intent into action
Optimize AI visibility signup CTAs with clear value, proof, friction checks, event tracking, page context and a measurable handoff from organic search.
AI visibility landing page QA: verify answer, evidence, UX and measurement
Run AI visibility landing page QA across search intent, answer promise, evidence, headings, visuals, internal links, CTA, accessibility and analytics events.
AI visibility experiment design: test one change with a defensible signal
Design an AI visibility experiment with a stable question panel, baseline, single intervention, evidence register, observation window and success threshold.
AI visibility audit checklist: from question panel to action queue
Use an AI visibility audit checklist covering question scope, answer evidence, citations, competitors, technical access, content gaps and owned next actions.
AI visibility pricing comparison: model cost against decision value
Compare AI visibility pricing by tracked questions, markets, evidence retention, seats, exports, integrations and the cost of acting on each insight.
AI visibility competitor comparison: compare evidence, not just mentions
Compare AI visibility competitors by question coverage, recommendation context, citation quality, page evidence and repeatability instead of a single mention count.
AI visibility content gap analysis: find the pages your evidence is missing
Map buyer questions, cited sources, competitor coverage and page intent to decide which AI visibility content gaps deserve a new page or a focused refresh.
AI visibility reporting template: make every result reviewable
Create an AI visibility reporting template that ties questions, answers, citations, competitors, actions and business outcomes to one reviewable record.
AI visibility content refresh: update pages that should earn citations
Refresh pages for AI visibility by combining query evidence, citation gaps, clearer claims, stronger sources and measurable before-and-after checks.
AI visibility metrics and KPIs: build a scorecard that teams can use
Define AI visibility metrics for mentions, recommendations, citations, competitor presence and stability without turning one answer into a ranking.
How to choose AI visibility software: an evidence-led buying workflow
Compare AI visibility software by question coverage, citation evidence, repeatability, competitors and exportable decision records.
AI visibility benchmark scorecard: define a baseline you can compare
Create an AI visibility benchmark scorecard with a versioned question panel, mention rules, citation evidence and transparent denominators.
AI visibility content brief QA: turn a query into evidence
Create an evidence-led content brief with intent, claims, sources, entities and measurable next actions.
AI Visibility Competitor Benchmark: compare evidence, not vanity scores
Build an AI visibility competitor benchmark across prompts, cited sources, page types, evidence quality, search demand, traffic and conversion opportunities.
AI Visibility Snippet Rewrite Test: improve the promise before the click
Run an AI visibility snippet rewrite test across title, description, answer promise, intent fit, evidence and CTA context without making unsupported claims.
AI Visibility Refresh Prioritization: update the pages that can move
Prioritize AI visibility content refreshes by query demand, citation context, decay risk, business value, evidence gaps, effort and measurable next actions.
AI Visibility Organic CTR Recovery: turn impressions into qualified visits
Run an AI visibility organic CTR recovery workflow across query intent, title links, descriptions, answer promises, page UX, evidence and conversion quality.
AI Visibility Internationalization QA: keep intent aligned across languages
Run AI visibility internationalization QA across intent, terminology, hreflang, metadata, schema, internal links, evidence, UX and conversion events.
AI Visibility Search Console Query Clustering: turn impressions into page decisions
Cluster Search Console queries by intent, entity, language, page owner and conversion stage to choose the next AI visibility content or optimization action.
AI Visibility Branded Query Lift Analysis: test whether exposure creates demand
Analyze branded query lift after AI visibility exposure with consistent windows, query classes, annotations, controls and conversion interpretation.
AI Visibility Prompt-to-Page Mapping: assign one answer owner to every demand
Map AI visibility prompts to one primary page owner, supporting evidence, internal links, CTA stage and measurement so content decisions stay accountable.
AI Visibility Market Localization Prioritization: choose where to expand first
Prioritize AI visibility localization by demand, language quality, competitive gaps, product fit, evidence availability, conversion readiness and operational effort.
AI Visibility Competitor Mention Share: measure category presence fairly
Measure competitor mention share across a versioned AI prompt panel with category rules, citation quality, context, markets and confidence intervals.
AI Visibility Assisted Conversion Reporting: connect exposure to revenue signals
Build assisted conversion reporting for AI visibility with stable event definitions, organic and branded paths, evidence exposure and qualified pipeline limits.
AI Visibility Content Experiment Log: learn from every controlled change
Create an AI visibility content experiment log with hypothesis, baseline, one change, audience, dates, evidence, metrics, decision and rollback notes.
AI Visibility Citation Monitoring Cadence: choose a rhythm that catches change
Set an AI visibility citation monitoring cadence by prompt volatility, business risk, market, model, evidence freshness and available review capacity.
AI Visibility Page Value Scoring: decide what to build, refresh or retire
Score AI visibility page value by demand, qualified traffic, citation potential, evidence strength, conversion role, maintenance cost and strategic fit.
AI Visibility SERP-to-Conversion Map: connect impressions to the next action
Map AI visibility and organic search impressions to page intent, proof, internal paths, CTA events and assisted conversions without claiming direct causation.
AI Visibility Prompt Portfolio Prioritization: test the questions that matter
Prioritize an AI visibility prompt portfolio by demand, commercial value, volatility, competitor pressure, citation opportunity, language and measurement cost.
AI Visibility Internal Link Priority Queue: route authority where it can help
Prioritize internal links for AI visibility by query demand, page value, evidence depth, crawl discovery, conversion role, anchor clarity and link distance.
Other
AI citation source map: connect claims, pages and competing evidence
Build an AI citation source map showing which claims, pages, domains and competitors support each buyer question and where your evidence is missing.
GEO technical indexation checklist: remove blockers before scaling content
Use a GEO technical indexation checklist for status codes, canonical URLs, robots, sitemaps, rendering, structured data, internal links and analytics readiness.
AI search comparison page template: win the decision with evidence
Build an AI search comparison page with explicit criteria, alternatives, evidence, trade-offs, structured headings, internal links and a measured next step.
GEO entity consistency audit: align names, claims and source context
Run a GEO entity consistency audit across page copy, authorship, structured data, internal links, profiles and citations so AI systems see one coherent entity.
AI search product page optimization: make product proof easy to retrieve
Optimize a product page for AI search with a clear entity, use cases, specifications, evidence, comparison context, structured data, FAQs and conversion paths.
GEO content pruning workflow: improve the site without deleting blindly
Use a GEO content pruning workflow to classify thin, overlapping, stale and valuable pages before consolidating, refreshing, redirecting or keeping them.
AI citation outreach brief: earn relevant sources without spam
Create an AI citation outreach brief for research, expert contributions, partnerships and source updates that can earn relevant citations without manipulative link schemes.
AI search category page template: build a useful topical entry point
Create an AI search category page that groups related questions, defines the category, links to owned guides, shows evidence and routes visitors to the next action.
GEO internal linking audit: connect evidence, intent and next actions
Audit GEO internal links for topical ownership, descriptive anchors, orphan pages, evidence flow, language versions and conversion paths.
AI search schema implementation: connect structured data to visible meaning
Implement structured data for AI search by mapping visible claims, entities, authorship, breadcrumbs and page types without adding unsupported markup.
AI search topic cluster architecture: map one journey to owned pages
Design an AI search topic cluster architecture that assigns buyer questions to hub, guide, comparison, proof and conversion pages without cannibalisation.
GEO evidence update policy: keep claims fresh and reviewable
Create a GEO evidence update policy with source owners, freshness windows, claim severity, review cadence, change logs and escalation rules.
AI search prompt research brief: turn buyer language into a testable panel
Create an AI search prompt research brief with audience language, intent groups, entities, competitors, markets, evidence rules and a repeatable question panel.
GEO content update log: preserve trust through documented changes
Create a GEO content update log for claims, sources, page sections, owners, publication dates, citation changes, QA checks and the next refresh trigger.
AI search query-to-page map: assign one clear owner to every demand cluster
Create an AI search query-to-page map connecting questions, intent, entities, evidence needs, canonical URLs, internal links, CTAs and measurement owners.
GEO evidence table template: make every important claim reviewable
Build a GEO evidence table linking claims to sources, dates, owners, entities, supporting pages, citations and the next review decision.
AI search conversion path QA: connect the first click to the next decision
Audit the AI search conversion path from query and snippet to landing page, proof, CTA, event tracking and handoff so impressions can become qualified actions.
AI search FAQ architecture: map related questions without cannibalisation
Design an AI search FAQ architecture that groups related questions, assigns one owning page, adds evidence and links each answer to the next useful action.
GEO editorial calendar: plan evidence-led pages around buyer questions
Build a GEO editorial calendar that prioritises buyer questions, page ownership, evidence updates, internal links, localization, QA and measurable outcomes.
AI search answer page template: make the best next page obvious
Use an AI search answer page template to structure a direct answer, supporting evidence, definitions, examples, citations, internal links and a measurable next action.
GEO content quality scorecard: review a page before publishing
Score GEO content for intent fit, answer clarity, evidence, entity coverage, structure, internal links, UX, accessibility and conversion readiness before publishing.
AI search title and meta description QA: turn impressions into qualified clicks
Audit title tags and meta descriptions for query promise, specificity, page intent, differentiation, truncation, localization and conversion alignment.
AI search content brief: turn a query cluster into a publishable page
Build an AI search content brief with one audience question, answer architecture, evidence requirements, entities, internal links, CTA and QA checks.
AI citation recovery playbook: diagnose a lost source and restore evidence
Use an AI citation recovery playbook to separate retrieval variance from a real source gap, improve evidence and verify recovery over repeated runs.
GEO case study template: document visibility gains without overclaiming
Create a GEO case study template that connects the baseline, intervention, evidence, timeline, visibility change, traffic signal and remaining uncertainty.
AI citation monitoring alerts: detect meaningful source changes
Design AI citation monitoring alerts for lost citations, new competitor sources, changed recommendation context and evidence that needs human review.
GEO landing page brief: connect a buyer question to evidence and action
Create a GEO landing page brief with buyer intent, answer promise, proof requirements, entity context, internal links, CTA and measurement hooks.
Best AI visibility platform: a buyer’s evaluation framework
Evaluate AI visibility platforms by question coverage, citation evidence, repeatability, integrations, exports, governance and actionability before buying.
Enterprise AI visibility monitoring: govern questions, markets and evidence
Design enterprise AI visibility monitoring with question governance, market coverage, reviewer roles, evidence retention, change logs and escalation rules.
Agency AI visibility reporting: turn recurring answers into client actions
Build an agency AI visibility reporting workflow that standardises question panels, evidence, client context, recommendations, owners and next steps.
AI search content audit: check intent, evidence and page usefulness
Audit AI search content by intent, answer completeness, source quality, entity clarity, internal links, schema and measurable next actions.
AI citation tracking spreadsheet: keep answer evidence consistent
Set up an AI citation tracking spreadsheet with stable columns for prompts, answer claims, cited URLs, competitors, dates, reviewers and actions.
GEO FAQ design: write questions that clarify the buyer decision
Design GEO FAQs around real buyer questions, direct answers, definitions, evidence, constraints and links to the next useful page.
AI search query clustering: turn repeated questions into a page system
Cluster AI search questions by intent, entity, evidence need and conversion path before assigning them to hubs, tutorials, comparisons or product pages.
AI citation source page: build a page worth referencing
Create an AI citation source page with a defined claim, transparent methodology, primary evidence, update dates, authorship and a clear reuse path.
GEO content refresh calendar: schedule evidence-led updates
Build a GEO content refresh calendar that prioritises pages by query evidence, citation decay, commercial value, freshness and review capacity.
AI search structured data audit: align markup with visible evidence
Audit structured data for AI search by matching schema types, visible claims, canonical URLs, authorship, dates and page intent before publishing changes.
AI answer citation audit: turn visible sources into page actions
Audit citations in AI answers by claim, intent, domain and page type, then turn repeated gaps into focused content and authority actions.
AI brand monitoring dashboard: separate mentions from recommendations
Design an AI brand monitoring dashboard that separates mentions, recommendations, citations, competitors and business outcomes with clear denominators.
GEO internal linking hub: connect evidence to the right page
Build a GEO internal linking hub that connects definitions, tutorials, evidence pages and commercial paths without creating a noisy footer.
AI search optimization checklist: prepare a page before publishing
Use an AI search optimization checklist covering intent, evidence, entities, structure, internal links, schema, measurement and editorial QA.
ChatGPT brand tracker for agencies: standardise client evidence
Create a repeatable ChatGPT brand tracker workflow for agencies with client prompts, recommendation context, citations, competitors and change logs.
AI citation share analysis: find the sources winning your category
Analyse AI citation share by question intent, domain, page type and competitor presence with a reviewable evidence register.
AI search entity optimization: make the subject of a page unambiguous
Improve AI search entity clarity with consistent definitions, authorship, evidence, structured data, internal links and source context.
AI competitor prompt gap analysis: find questions competitors win
Run an AI competitor prompt gap analysis to identify buyer questions, recommendations and citations where competitors appear and your brand does not.
AI crawler access audit: check discovery before changing robots.txt
Audit AI crawler access across robots.txt, HTTP responses, canonical URLs, sitemaps and rendered content before making a blocking change.
ChatGPT recommendation monitoring: measure context, not just mentions
Monitor ChatGPT recommendations with buyer questions, qualification wording, competitor context, citations and repeated evidence.
ChatGPT brand mentions tracker: build a repeatable measurement panel
Create a ChatGPT brand mention tracker with intent groups, repeat observations, recommendation context and citation evidence.
AI search optimization content brief: turn a query into a publishable page
Build an AI search optimization brief with intent, evidence, entities, headings, source requirements, schema and measurement hooks.
AI Search Brief-to-Publish Workflow: keep intent intact
Turn an AI search brief into a publishable page with intent, evidence, structure, UX, metadata, internal links and measurement checked before launch.
GEO Citation Quality Review: check context before claiming authority
Review AI citations for source fit, context, claim accuracy, freshness, prominence and next actions before treating visibility as authority.
AI Search Entity Proof Page: make the product easy to verify
Build an AI search entity proof page that connects product identity, capabilities, use cases, evidence, authorship, sources and a measurable next action.
GEO First-Party Research Brief: turn original evidence into visibility
Plan a GEO first-party research brief with a defensible question, sample, method, limitations, visual outputs, citations and distribution path.
AI Search Use Case Page Template: connect the problem to proof
Build an AI search use case page with a specific audience, problem, workflow, evidence, alternatives, outcomes, limitations and a credible next action.
GEO Methodology Transparency Page: show how visibility is measured
Create a transparent GEO methodology page covering questions, models, markets, collection dates, evidence rules, limitations, confidence and change history.
AI Citation Outreach Email Brief: earn relevant references with proof
Prepare an AI citation outreach email brief with a qualified recipient, useful contribution, evidence, disclosure, follow-up rules and outcome tracking.
AI Search Question Coverage Audit: find the unanswered demand
Audit AI search question coverage across intents, languages, entities, page owners, evidence, internal links and conversion paths before creating more content.
GEO Visual Evidence Brief: make the proof easy to understand
Brief GEO visuals that explain a workflow, comparison, dataset or result with accurate labels, source context, accessible text and a reusable citation path.
AI Search Prompt Panel Design: measure questions that matter
Design an AI search prompt panel with buyer language, intent coverage, markets, languages, entities, competitors, sampling rules and repeatable review.
GEO Claim Evidence Ledger: keep every important statement accountable
Create a GEO claim evidence ledger linking claims to sources, passages, dates, owners, risk, page locations, citations, review decisions and next actions.
AI Search Comparison Criteria Framework: make trade-offs inspectable
Build an AI search comparison criteria framework with buyer priorities, definitions, weights, evidence, alternatives, limitations and review rules.
GEO Author Profile Evidence: connect expertise to accountable content
Build GEO author profile evidence with relevant experience, editorial scope, review roles, source links, organization context and maintained authorship signals.
GEO Citation Source Qualification: choose evidence AI systems can trust
Qualify sources for GEO citations by relevance, primary evidence, freshness, ownership, methodology, accessibility and the exact claim they support.
AI Search Zero-Click Measurement: connect visibility to qualified demand
Measure AI search and zero-click visibility with impression context, branded demand, assisted visits, engaged sessions and conversion signals without overstating attribution.
GEO Content Fact-Checking Workflow: verify every publishable claim
Build a GEO content fact-checking workflow that maps claims to sources, dates, uncertainty, reviewers, visual labels and release decisions.
AI Search Internal Anchor Strategy: guide users and crawlers to the next answer
Plan internal anchor text for AI search pages using clear destinations, entity context, journey stage, accessibility and measurable discovery paths.
GEO Citation Context Optimization: make the cited passage self-explanatory
Optimize GEO citation context with precise claims, nearby definitions, source boundaries, dates, visual transcripts and consistent entity references.
AI Search Content Cannibalization Resolution: consolidate without losing demand
Resolve AI search content cannibalization with intent comparison, query evidence, canonical ownership, redirects, internal links and post-change monitoring.
GEO Benchmark Sampling Method: make visibility comparisons reproducible
Define a GEO benchmark sampling method with prompt strata, markets, models, dates, exclusions, competitors, evidence rules and versioned reporting.
AI Search Crawl Discovery Monitoring: verify that new pages can be found
Monitor crawl and discovery signals for AI search pages with sitemap evidence, internal links, robots, status codes, render checks and Search Console feedback.
GEO First-Party Data Asset Design: publish evidence others can cite
Design a first-party GEO data asset with a defensible question, transparent method, reusable tables, visual evidence, limitations and a citation-ready landing page.
AI Search Page Experience Instrumentation: measure the path after the answer
Instrument AI search landing pages for scroll depth, content engagement, CTA exposure, form progress, errors, consent and qualified conversion signals.
AI Search Question Intent Scoring: prioritize pages by decision value
Score AI search questions by intent strength, business value, evidence need, urgency, competition and conversion proximity before assigning content work.
GEO Visual Accessibility QA: make infographics useful to every reader
QA GEO infographics and diagrams for text alternatives, contrast, labels, data tables, keyboard access, responsive layout and evidence context.
AI Search Featured Answer Readiness: structure pages for concise retrieval
Prepare AI search pages for concise retrieval with direct answers, definition blocks, supporting evidence, headings, entity consistency, schema and measurable next steps.
GEO Content Refresh SLA: keep evidence and rankings from decaying
Design a GEO content refresh SLA with trigger thresholds, owners, evidence checks, metadata review, internal links, change logs and post-refresh measurement.
AI Citation Link Reclamation: turn existing mentions into useful paths
Find unlinked or weakly linked AI visibility mentions, qualify the source, prepare a respectful reclamation request and measure referral, citation and conversion value.
AI Search Entity Disambiguation Checklist: make the brand easy to identify
Use an entity disambiguation checklist for AI search with consistent names, descriptions, profiles, relationships, sources, structured data and language variants.
GEO Editorial Evidence Matrix: match every claim to the right proof
Build a GEO editorial evidence matrix that maps claims to sources, dates, owners, confidence, visual assets, caveats, links and review status before publication.
AI Search Internal Hub Design: connect clusters for discovery and depth
Design AI search internal hubs with clear category ownership, contextual links, breadcrumbs, supporting tutorials, language paths, anchor intent and crawlable navigation.
AI Search Canonical Language QA: prevent localized signals from splitting
Audit canonical, hreflang, language, redirects, translated metadata and internal links so localized AI search pages remain discoverable and correctly related.
GEO FAQ Answer Coverage: close the questions that block decisions
Audit GEO FAQ answer coverage across definition, comparison, implementation, pricing, trust and risk questions with evidence, ownership, schema and CTA paths.
AI Search Robots Policy Review: allow useful discovery without leaking private paths
Review robots.txt, noindex, canonical, sitemap, user-agent rules and public content boundaries so AI search crawlers can discover intended pages safely.
GEO Content Brief Quality Gate: approve work before production starts
Use a GEO content brief quality gate for intent, keywords, audience, headings, evidence, visual assets, metadata, schema, links, CTA and measurement.
AI Search Crawl Budget Prioritization: scale pages without hiding the winners
Prioritize crawl and internal-link effort for AI search pages by value, freshness, discovery risk, demand, evidence quality and indexation signals.
GEO Evidence Expiry Register: know which claims will go stale first
Track evidence expiry for GEO content with claim owner, source date, review interval, volatility, replacement path, page impact and escalation status.
AI Search Information Gain Framework: make every page add something new
Use an information gain framework to turn original evidence, examples, comparisons and decisions into pages that add value beyond a rewritten search result.
GEO Programmatic SEO Quality Gate: scale pages without scaling thin content
Set a quality gate for programmatic GEO pages covering unique intent, evidence, localization, metadata, internal links, visuals and indexation readiness.
AI Search Content Decay Audit: find pages losing useful demand
Audit content decay across impressions, clicks, rankings, citations, evidence freshness, internal links and conversions before deciding whether to refresh, merge or retire a page.
GEO Source Attribution Standard: show readers why a claim is trustworthy
Create a GEO source attribution standard for claim type, source quality, date, author, link context, confidence, caveats and reuse across AI search content.
AI Search Impression Triage Workflow: turn visibility into a click plan
Triage Search Console impressions by query intent, page promise, position, CTR, language, freshness and conversion role before changing titles or content.
GEO Visual Evidence Production Spec: make infographics earn their space
Create a GEO visual evidence specification for data accuracy, hierarchy, captions, alt text, source notes, responsive layout and measurable reader actions.
AI Search Query Ownership Matrix: give every demand a canonical home
Map AI search query clusters to one canonical page, owner, funnel role, evidence requirement, language, internal-link hub and measurement plan.
GEO Linkable Asset Brief: turn original evidence into useful references
Brief linkable GEO assets with a specific audience, original evidence, visual summary, citation context, outreach angle, landing page and measurement plan.
AI Search Snippet Intent Alignment: earn the click without overpromising
Align title, meta description, opening answer, headings and structured evidence with the search task so AI and organic snippets earn qualified clicks.
GEO Algorithm Update Response Playbook: separate signal from panic
Use a controlled GEO and SEO algorithm-update playbook to validate traffic, indexing, snippets, citations, competitors and technical changes before rewriting pages.
AI Search Schema Graph Validation: connect entities, pages and proof
Validate Organization, WebSite, Article, BreadcrumbList and FAQ schema as one consistent graph with canonical URLs, language, authorship and visible evidence.
AI Search Demand Forecast: plan content against observable demand
Forecast AI search demand with query cohorts, seasonality, impression trends, prompt observations, market signals and explicit uncertainty.
GEO Case Study Evidence Brief: make results reviewable
Brief a GEO case study with a measurable baseline, intervention log, evidence sources, visual summary, limitations and next actions.
AI Search Orphan Page Recovery: restore discovery without footer bloat
Recover orphan AI search pages by validating intent, indexability, internal discovery, language relationships, evidence and conversion paths.