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Every published page, on one page.

Grouped the way the site is built: where to start, what we sell and what it costs, the free tools, the industries, the articles by topic and the glossary. A page joins this list when it is published, under the title it carries that day.

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What we sell, and what it costs

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Insights

Articles: AI Engines

A dental practice, ChatGPT and Gemini: which crawlers reach the site, and what they find thereA fulfillment center's public pages and portal: what crawlers can reachAI search engines at a glance: who fetches your pages, and how each answersAI visibility for architects: the firm, the principal and the buildingAnswer engine optimization (AEO): where it came from, and what it asks of a page nowChatGPT and a physio practice: what OpenAI's crawler page settlesChatGPT and a planner's region: OpenAI's crawler rules, then your factsChatGPT and your repair shop: what gets fetched, and what a page must sayGoogle AI Overviews: what Google says helps a page get cited, and what does notHow ChatGPT and Gemini get to a driving school's pagesHow ChatGPT reaches a gym's pages, and why the member app stays shutTax firms and ChatGPT: open the public pages, keep the portal shutThree places an advisor's facts live, and which ones AI crawlers reachVisibility on Perplexity: what its crawlers fetch, and what a page has to give themWedding photographers and ChatGPT: the crawlers, and what couples askWhat ChatGPT and Perplexity can reach on a recruiting agency's siteWhat ChatGPT can read on a medical practice's site, and what it cannotWhen your own bot protection turns the AI crawlers away: a check for MSPs

Articles: Authority & Mentions

Backlinks versus mentions: what each one tells a search engine and an assistantCafé reviews and listings: the drink people name, and one set of hoursChangelog, docs and trust center: pages that date and prove your claimsConfidential work as evidence: what a consultancy can publishDirectories and review portals: which listings matter, what each needs, and the facts that must matchDocumenting reference projects so they count as evidence, not just photosGuest reviews on your hotel's own pages: what to quote, and the rulesMentions and digital PR: what a mention does for AI visibility, and how to earn onePass rates and reviews: how a driving school states them honestlyProof a beauty client can check before booking, and where it goesReddit, forums and communities: taking part honestly, and what it can do for AI answersReferences and a list of buildings a facility manager can checkReviews as an AI signal: why an assistant sees none of yours, and where to put themReviews, real weddings and vendor credits: a planner's evidence in textTemp staffing: your licenses and terms, stated for clients and workersThe record of a painting job: surface, prep, paint line and colorThe terms a household checks before booking a mover, stated as yoursTrust without an interview: what an owner can check before a first visitWhat homeowners ask before choosing a listing agent, and what to publishWhat your Google reviews mean for your salon, and which ones to useWikipedia and Wikidata for a small business: what the rules allow, and what to do instead

Articles: Brand & Positioning

A narrow lead in machine building, stated as evidence a buyer can checkA page each for children's and sports eyewear, and how to test themA page per cargo, lane or client type, with the record behind itBrand when an assistant does the describing: the sentence it repeats about youBroker or comparison site: what a broker's own pages have to stateCabinets, lacquer, wallpaper, historic finishes: a page per specialtyDescribing the work, not the result: what an advisor's pages can sayExotics, dentistry, surgery: a page for each service you want asked aboutHallucinated features: find and correct wrong claims about your productLaw firm marketing and AI: review what you publish, record the restLawyers' conduct rules and GEO: state the facts, ask about the claimsNeighborhood and property-type pages built from an agent's own recordNiche or generalist: what a consultancy can state, and how to test itNiche or grab-bag: a desk page for each specialty your placements backPickup times, a delivery area, a pharmacist by name: a pharmacy's own factsPrivacy on a pharmacy's public pages: reviews, replies, photos, postsRead, dated and signed: a pharmacy's review routine for pages and postsSituation pages for an advisory firm, and a test of what they changeStating what your pharmacy offers without saying what a medicine doesThought leadership a machine can count: publishing your own numbers, with the method attachedTimber frames, historic buildings, energy standards: a shop's own recordWhat a made-to-measure workshop can state that a flat-pack store cannotWhen AI gets facts about your business wrong: why, and what fixes itWhy isn't my SaaS showing up in ChatGPT? What the assistant can read

Articles: Content & Answer Pages

A first pair of progressives: the page to publish before the fittingAlternatives and versus pages for SaaS: comparisons a reader can checkBalayage, curly cuts, extensions: what each specialty page must sayBefore the assessment: the heat pump questions a page should answerBeyond the portfolio: prices, travel, terms and delivery as textClass timetable, prices and equipment: a gym's pages, written as textCollecting the questions patients ask, and turning them into answer pagesCosts, scheduling and care: three pages a landscaping customer reads nextDealer service pages: booking, warranty, recalls and the makes you serviceDeveloping a GEO content strategy: which pages to write, in what order, and how to keep them trueFittings, setups and buying guides: a specialist store's advice in writingFrom eye exam to repair: the questions of a glasses purchase, in orderGlass, post-construction and disinfection: a page for each specialtyImplants, whitening and cleanings: what a dental practice's treatment pages have to sayLaptop-friendly café: answering the wifi, outlet and time-limit questionsManual therapy, jaw (TMJ) treatment, lymphatic drainage: a page for eachPrices, packages and holiday courses: a driving school's prices pageProduct data for AI: a product page that answers every conditionSolar and the roof: what a roofer's page answers before panels go onStructuring content for AI: the heading structure that gets quotedThe EV charger page: what a buyer asks before booking an installThe PDF trap: when your price list is a file, an assistant cannot quote itThe questions photography clients type, and where you already hear themThe questions physio patients ask, collected and answered in writingWhat building owners ask assistants about architects, stage by stageWhat clients ask about a beauty treatment, in the order they ask itWhat couples and event clients ask, stage by stage, and where you hear itWhat customers ask about electrical work, from booking to inspectionWhat homeowners ask a carpenter, and the page each answer belongs onWhat investors ask before, during and after hiring an advisorWhat learners and parents ask an assistant about driving lessonsWhat pet owners ask a practice, from the first visit to the lastWriting to be cited: what makes a passage quotable by an AI assistant

Articles: Fundamentals

A painter's monthly panel: job, surface and town, exterior in seasonAI visibility for beauty studios, counted treatment by treatmentAI visibility for cafés: what being named means, and how to count itAI visibility for car dealerships: measuring a lot that changes every dayAI visibility for carpenters: named for which job, and as what kind of shopAI visibility for cleaning companies: commercial and residential apartAI visibility for dentists: named for the filter the patient addedAI visibility for doctors: what being named means, and how to measure itAI visibility for electricians: named for which job, with which numberAI visibility for gyms: named for the right class, on the right termsAI visibility for hotels: named for which conditions, linked to whose pageAI visibility for lawyers: the name in the answer and the facts beside itAI visibility for management consultancies: named for which problemAI visibility for marketing agencies: named for what, and on whose workAI visibility for online shops: named as the shop, the brand or the productAI visibility for photographers: named for which work, and whereAI visibility for physiotherapy practices: what being named meansAI visibility for planners: named for which service, where, and how bigAI visibility for plumbing and heating companies: both trades on one panelAI visibility for real estate agents: named, and under which brokerageAI visibility for recruiters: a client reading and a candidate readingAI visibility for restaurants: named for tonight, with the right hoursAI visibility for roofers: by job and town, with storm weeks kept apartAI visibility for salons: what being named means and how to measure itAI visibility for tax advisors: being named for the client's situationAI visibility for vets: named for which animal, which service, and whenAI visibility in landscaping: measured by season, service and townAn optical store in AI answers: which service, which branch, which factsCategory, brand, place, condition: a monthly reading for one storeFrom Google ranking to AI answer: what changes for a gym, and what staysIs your shop named when drivers ask an assistant? How to check, job by jobLarge language models, explained for a business owner: what they are, how they answer, and why they get things wrongNamed at the right hour: measuring a pharmacy in AI answersNamed for the part you can make: AI answers for machine builders and shopsWhat AI visibility means for a driving school, and how to measure itWhat being named means for an insurance broker, line by lineWhat is generative engine optimization? Origin, meaning and limitsWhere search is heading: what is already true, what is still uncertain, and what to do either wayWhich lanes AI answers name you for, and how current their facts areWhich move were you named for? Reading AI answers by route and move typeWhy ChatGPT does not know your company, and what fixes each causeWhy GEO matters now: the case without the borrowed statisticsZero-click search: what it is, who loses the visit, and what to measure

Articles: Local & Industries

A good hairdresser near me: the place and time facts a salon must stateA repair shop's Google Business Profile: categories, services and hoursAn IT provider's partner designations and certificates, stated as issuedArchitect nearby: licensed where the site is, not the shortest driveBathroom renovation inquiries: what a homeowner asks an assistant firstBurst pipe, sewer backup, no heat: writing the plumbing emergency pageCarpenters in ChatGPT and Gemini answers: what the shop's own site has to sayDisability cover questions: what an advisor who arranges it statesEmergency electrician inquiries: the page a caller reads in the darkFound regionally: how a cleaning company states the area it coversFrom Google profile to expert text: what a roofer's listings cannot holdHow to get your salon recommended: the fix order, start to finishHow your advisory firm is paid, stated in words a client can checkIn stock near me: stating availability, pickup and the way to checkLate nights and holidays: a pharmacy's hours, published before anyone asksLocal AI search with more than one location: one business, several places, stated so an answer can tell them apartLocal AI visibility for a medical practice: getting the place rightLocal AI visibility: how a local answer is built and what to fix firstNear-me questions for a beauty studio that is not a storefrontPlanning a move from far away: the pages that answer it, in orderPractice-area pages for a law firm: the matter, the place and the fee, stated so an answer can use themRestaurant data across portals: one set of hours, one menu, one price range, everywhere a guest looksTemperature-controlled freight: what to publish for a buyer who auditsThe after-hours page for a vet practice: who answers, and where to goThe storm damage page: what a roofer writes before the storm arrivesWhat clients and candidates ask about recruiters, in the order they askWhat clients ask an assistant before choosing a tax advisorWhat IT decision-makers ask an assistant before they shortlist an MSPWhat patients ask an assistant before choosing a practiceWhat people ask AI before buying a car, in the order they buyWhat travelers ask an assistant before they book a hotelWho gets recommended when a founder asks an assistant for a consultantWin locally as a mover: what buyers ask an assistant and what to stateYour Google Business Profile and AI visibility: what the listing has to agree with

Articles: Measurement & Reporting

An afternoon with the stock list: checking four assistants' answersAn afternoon's check of AI answers against your dealership's lotAre you on the bid list? An afternoon's AI check for cleaning companiesAsk the AI about your café by name, then check every fact it givesCalculating the ROI of GEO: a break-even sum you can do with your own numbersCompetitor analysis in AI answers: find who is named instead of you, then read their pages as a crawler doesDoes the AI recommend your dental practice? A 30-minute check, and what to do with the resultGEO KPIs: the seven numbers worth reporting, and the ones to ignoreGEO reporting for management: the one-page report, and the decisions it should ask forHow many roofing inquiries come from AI? How to count your ownHow often does the AI recommend your landscaping business, town by town?How to measure AI visibility, and know when an assistant changed its answerLast year's painting jobs by town, beside the AI answers for eachMeasuring AI mentions for hotels: reading the panel through the yearMeasuring AI mentions: the ones in answers, and the ones on the pages answers are built fromMeasuring AI recommendations for a shop without clean click trackingMeasuring AI visibility for clients: how an agency grades its own workMeasuring mentions for real estate agents: one afternoon, seller and buyerMonthly readings of AI answers for an engineering firm's long sales cycleOperating figures a buyer can check, each with its period and definitionReading AI answers about your law firm, practice area by county Start with one afternoonSetting up prompt monitoring: what to ask, how often, and what to recordShare of voice in AI answers: how to count it, and how to grow itSpotting AI traffic in Google Analytics, and what it can and cannot tell youThe GEO audit: what a real one contains, and how to tell it from a site scanThrough the moving year: AI readings beside your quote requestsTracking AI visibility: a routine for the week, the month and the quarter, and what to ask of a tool

Articles: Strategy & Planning

A first-quarter GEO plan for a licensed electrical contractorA GEO strategy for an online shop: the first month's four decisionsBuilding a GEO strategy in 30 days: seven decisions for the first month, written on one pageCivil ceremony, boho, luxury, elopement: a page for each, and a testDirect bookings from AI answers: your own page as the better place to landGEO for B2B companies: being on the shortlist a buyer asks an assistant forGEO for e-commerce: where a small shop has room to be namedGEO instead of pure SEO? A decision by how your customers buy, and the work to do first either wayGEO vs SEO, task by task: which work helps search, which helps AI answers, and which helps bothGetting onto the AI shortlist: from mentioned, to recommended, to firstOne page per genre: what it lets a photographer state, and how to test itOne page per situation: making a tax firm's specialties visibleOne property, several businesses: GEO for a hotel restaurant, bar and spaPlanning a GEO budget: the hours, the money, and who does whatSelf-pay patients and AI search: stating prices and what they coverSelling GEO as an agency service without promising a place in the answerSEO vs GEO for someone who already does SEO: what carries over, what changes, and what to stop assumingSpecialty pages for a repair shop: a make, EVs, transmissions, fleetsSpring to winter: a landscaper's publishing calendar, month by monthThe 10 most common GEO mistakes, and how to avoid each oneThe class of 2027: how a driving school reaches next year's new driversThe painting year as a publishing plan: exterior, interior, commercialVisible within the rules: what an insurance broker's pages can stateWinning clients through ChatGPT: how a question becomes a shortlistWomen-only hours, training after injury, a boutique format: a page each

Articles: Technical & Structure

A brand dropped, new hours, a holiday: making the change everywhere at onceA café menu machines can read: milks, pastries and the seasonal boardA landscaping website AI can read: from photo gallery to project recordsA portfolio a crawler can read: captions, alt text and a page per shootBuilding an entity: how a machine learns that your business is one thingCapability pages a buyer can compare: specifications in dated HTML tablesFAQ schema after Google's change: what it still does, and how to write itMaking a hotel website machine-readable, field by fieldMaking a restaurant menu readable for AI: every dish, its labels and its price, in textOptimizing your own website for AI: the technical floor, sitewide and page by pagePlumbing and heating service data as one record, marked up to matchrobots.txt for AI crawlers: what to allow, and what each token controlsSchema.org for online shops: Product, Offer, shipping and returns markupSetting up llms.txt: what the file is, what it is not, and where it ranksSetting up schema.org markup correctly: where it goes, how it is generated, and how to keep it trueStructured data for AI: what to mark up, and what only describes your websiteThe used-car page as a record: one vehicle, every fact a buyer checksTreatment pages that survive being quoted: how to build one

Guides

Glossary

The glossary, A to Z301 RedirectA/B TestAgentic SearchAI assistantAI CitationAI crawlerAI RankingAI recommendationAI SearchAI VisibilityAlt TextAnchor TextAnswer EngineAnswer Engine Optimization (AEO)Answer PageAnthropicArticle SchemaArtificial Intelligence (AI)Author ProfileBacklinkBaseline MeasurementBenchmarkBounce RateBrand AwarenessBrand MentionBrand MonitoringBreadcrumb NavigationCall-to-ActionCanonical TagCase StudyChatGPTCitabilityCitation RateClaudeClick-Through Rate (CTR)Comparison ArticleCompetitive AnalysisContent MarketingContent StrategyContext WindowConversational SearchConversion RateCore Web VitalsCrawlingCustomer JourneyDigital PRDomain AuthorityDuplicate ContentDwell TimeE-E-A-TEntityEntity OptimizationEvent Schema (Event)Evergreen ContentFact-CheckingFAQ PageFAQ SchemaFeatured SnippetFine-TuningFreshnessGeminiGenerative AIGenerative Engine Optimization (GEO)Generative SearchGlossaryGoogle AI OverviewsGPTBotGrokGuide ArticleHallucinationHeading HierarchyHowTo schemahreflangHTTP Status CodeHTTPS encryptionIndexingInternal linkingJSON-LDKeywordKeyword cannibalizationKeyword researchKnowledge BaseKnowledge CutoffKnowledge GraphKnowledge PanelLanding PageLanguage ModelLarge Language Model (LLM)Link Buildingllms.txtLoading TimeLocal SEOLocalBusiness SchemaLong-Tail KeywordMachine LearningMention RateMeta DescriptionMeta LlamaMeta TagMicrodataMicrosoft CopilotMistralMobile OptimizationMultimodal AINatural Language Processing (NLP)Neural NetworkOff-Page OptimizationOn-Page OptimizationOpen GraphOpenAIOrganic TrafficOrganization SchemaPage Title (Title Tag)PerplexityPillar ContentPosition ZeroProduct SchemaPromptPrompt EngineeringQuery Fan-OutRanking FactorReachResponsive DesignRetrieval-Augmented Generation (RAG)Review SchemaRich Snippetrobots.txtSchema.orgSearch Engine CrawlerSearch Engine Optimization (SEO)Search Engine Results Page (SERP)Search IntentSearch VolumeSearchGPTSemantic SearchSentiment AnalysisShare of ModelShare of VoiceSource CitationStructured DataSystem PromptTarget AudienceTechnical SEOTemperature (AI model)TokenTopic ClusterTopical AuthorityTraining DataTransformer ModelUnique Selling Proposition (USP)URL StructureVector DatabaseVector Embedding (Embedding)Visibility ScoreVoice SearchWhitepaperXML SitemapZero-Click Search

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