# SEO & AIO Strategy: Markethink's Public 30-Day Roadmap > Follow Markethink Canonical page: https://markethink.ai/seo-aio-strategy/ THE OPERATING RULE ## Evidence before expansion. Publishing more pages is easy. Proving which buyer question, URL, evidence gap, and business action each page should own is the work. 01 ### Improve what exists first. Map buyer needs to current URLs before proposing another page. 02 ### Keep proof close to the claim. Use approved evidence, state its limits, and leave missing results unfilled. 03 ### Measure three different outcomes. Organic discovery, observed AI-search representation, and qualified inquiries are separate signals. STATUS LANGUAGE ## Published is not the same as proven. Counts come directly from the structured roadmap entries. They do not move with the calendar, and this page never converts them into a completion percentage. Planned **13** Work has not started and no release is claimed. In progress **2** Work has started or is under review. It is not live unless a public evidence link says otherwise. Live **0** Published on a public URL. Publication alone does not prove that the acceptance check or business outcome passed. Verified **4** The stated acceptance check passed on the verified date. This does not mean SEO uplift or AI citations were proven. Blocked **0** A named dependency prevents progress. The blocker must be removed before work can continue. THE FULL ROADMAP ## Every action has a finish line. 19 structured actions. No automatic day-based progress. Dates appear only where a public release or acceptance check has evidence. Showing all 19 actions. Why The roadmap should start from real buyer language and current result types, not an invented keyword list. **Current progress:** Buyer-query research has begun. Complete coverage, recorded scopes, intent review, and a repeatable fixed sample remain to be verified. Target page Research worksheet and the current Markethink.ai search footprint Verified date Not yet verified Public evidence No public evidence link available Repeatable how - Write a fixed sample of commercial and educational questions a buyer could ask before choosing managed marketing help. - Record the result format, intent, cited sources, and pages already competing for each question. - Keep the location, language, device, and collection date with the sample so it can be repeated. Done criteria - Every sampled question has a recorded source, date, scope, result type, and searcher intent. - The sample separates commercial, comparison, and educational intent before any page changes are proposed. Why A clear ownership map reduces duplicated intent and protects the pages that already have a defined job. Target page Homepage, commercial pages, guides, research pages, and blog URLs in the live sitemap Verified date Not yet verified Public evidence No public evidence link available Repeatable how - Inventory indexable Markethink pages from the live sitemap and classify each by audience, intent, and conversion job. - Assign one primary page to every validated query family and flag genuine coverage gaps separately. - Treat similarity as a review signal, then use intent and observed query overlap before deciding to split or combine pages. Done criteria - Each validated query family has one primary URL, one page role, and one next-step destination. - No proposed page duplicates the homepage, commercial hub, comparison, or buyer-guide job. Why Without a dated baseline, later movement cannot be separated from a memory of what changed. **Current progress:** Baseline collection has begun. Complete source coverage, dated scopes, denominators, and the unavailable-data review remain to be verified. Target page Baseline ledger for Markethink.ai and the approved target URLs Verified date Not yet verified Public evidence No public evidence link available Repeatable how - Record crawl and index signals for the target URLs from accessible first-party sources. - Record organic discovery, observed AI-search citations and accuracy, and qualified inquiry data as separate lanes. - Use Not yet measured when a source is unavailable instead of substituting zero. Done criteria - Every baseline observation includes source, date, scope, and denominator. - Unavailable measures display Not yet measured and no inaccessible vendor data is claimed. Why A buyer should understand that Markethink combines an AI marketing system with accountable expert marketers, not mistake it for a self-serve tool. Target page [https://markethink.ai/](https://markethink.ai/) Verified date Not yet verified Public evidence No public evidence link available Repeatable how - Compare the current first viewport and service explanation against the validated buyer questions. - Clarify who directs strategy, what runs day to day, what the client approves, and how work connects to leads and follow-up. - Preserve the homepage as the primary commercial owner for AI marketing agency intent. Done criteria - The first viewport states the offer, intended buyer, expert responsibility, and next step without generic AI claims. - The homepage keeps one clear commercial job and the walkthrough destination remains accurate. Why Commercial and comparison questions need decision support that is distinct from the homepage and educational blog content. Target page [https://markethink.ai/ai-marketing-for-small-business/](https://markethink.ai/ai-marketing-for-small-business/) Verified date Not yet verified Public evidence No public evidence link available Repeatable how - Review the existing commercial hub and comparison coverage against the query-to-URL map. - Add decision criteria, fit and non-fit guidance, tradeoffs, and a restrained handoff to the walkthrough where gaps are proven. - Keep comparison language factual and avoid inventing competitor features, pricing, or outcomes. Done criteria - The commercial hub answers the buyer questions assigned to it without taking the homepage primary term. - Comparison content shows selection criteria and tradeoffs with working contextual links. Why Businesses evaluating an AI marketing provider need practical decision support that is separate from an optional agency-partner or white-label track. **Optional separate agency-partner track** Evaluate a distinct agency-partner or white-label guide only if query evidence proves a separate audience need. It must not replace or blur the provider guide for businesses. Target page [https://markethink.ai/blog/what-is-an-ai-marketing-agency/](https://markethink.ai/blog/what-is-an-ai-marketing-agency/) Verified date Not yet verified Public evidence No public evidence link available Repeatable how - Add a provider evaluation matrix that helps businesses compare scope, accountability, evidence, and fit. - Separate work accelerated by AI from expert judgment, client approval, and follow-up responsibility. - Include one documented example and link the guide back to the homepage as the primary commercial owner. Done criteria - The guide includes a provider evaluation matrix, clear role separation, one documented example, and a working homepage link. - The guide serves businesses evaluating an AI marketing provider without becoming a white-label partner guide. Why A specific, documented account of the work is more useful than a generic claim about capability. Target page One approved first-party work story and its relevant commercial page Verified date Not yet verified Public evidence No public evidence link available Repeatable how - Choose one workflow with documented public-use clearance and evidence that can be shown without exposing private client information. - Document the starting problem, approved scope, work produced, review decisions, and observable result without inferring causation. - Separate verified facts from Markethink analysis and confirm every named claim and asset is cleared for public use. Done criteria - Every claim, name, image, and result has documented public-use clearance and a traceable evidence source. - The story distinguishes delivered work from measured outcome and contains no invented metric or testimonial. Why Research only creates value when it becomes a focused, reviewable change on the URL that owns the buyer need. Target page Homepage and approved existing commercial or guide pages Verified date Not yet verified Public evidence No public evidence link available Repeatable how - Turn only approved findings into page-level copy, structure, metadata, and usability changes. - Use a preview and compare the candidate against the current production page before publication. - Run focused tests, a full build, responsive review, accessibility checks, and link verification before release. Done criteria - Every changed page has a documented reason tied to the query and URL map. - The approved preview passes content, responsive, schema, canonical, link, console, network, and overflow checks. Why A page needs support from relevant evidence and nearby pages, not just a sitemap entry or footer link. Target page Approved target pages, relevant blog guides, and the AI marketing statistics research ledger Verified date Not yet verified Public evidence No public evidence link available Repeatable how - Place approved proof next to the claim it supports and state the evidence limit in plain language. - Add crawlable contextual links from the homepage, research, and relevant guide surfaces using varied descriptive anchors. - Resolve every unique destination and confirm that the target page returns the expected content. Done criteria - Every material proof claim has an approved public source or is removed. - The strategic pages have relevant inbound and outbound contextual links with successful destinations. Why Useful third-party corroboration can strengthen discoverability when the publication, evidence, and audience fit are relevant. Target page External-authority research ledger, not a public outreach campaign Verified date Not yet verified Public evidence No public evidence link available Repeatable how - Shortlist relevant publications, associations, expert-commentary formats, profiles, and communities connected to the buyer questions. - Prepare the evidence each publication would need and record its audience fit, editorial standard, and contribution path. - Review the evidence and audience fit before outreach so each proposed contribution is useful and relevant. Done criteria - The shortlist contains relevant publications with a documented reason, source URL, evidence need, and audience fit. - Each proposed contribution has an evidence pack and fit review ready before outreach is considered. Why A merged change is not complete until the canonical page is live, crawlable, internally connected, and technically consistent. Target page Canonical production URLs changed during the 30-day cycle Verified date Not yet verified Public evidence No public evidence link available Repeatable how - Open each bare canonical URL in a fresh browser and confirm the release-specific copy is present. - Check the main response, canonical, robots state, sitemap, structured data, links, console, network, and responsive layout. - Record indexing observations separately from publication because discovery and indexing can lag a release. Done criteria - Each released page passes its production acceptance checks on the canonical URL. - Publication, crawl eligibility, and observed indexing are reported as separate states. Why A stable sample makes directional changes reviewable without pretending that one prompt is a universal ranking report. Target page Fixed buyer-question observation ledger Verified date Not yet verified Public evidence No public evidence link available Repeatable how - Run the same approved questions with the same language, location, device, and collection method used for the baseline. - Record mentions, cited pages, source diversity, answer accuracy, and material changes for each question. - Keep missing citations and inaccurate representations visible rather than selecting only favorable responses. Done criteria - The follow-up sample uses the same questions and scope as the baseline or clearly documents any unavoidable change. - Every observation includes source, date, scope, and denominator and is labeled directional. Why Visibility matters only when it contributes to relevant business conversations, and low volume does not justify a fabricated conclusion. Target page Qualified inquiry review and next-cycle decision record Verified date Not yet verified Public evidence No public evidence link available Repeatable how - Review qualified inquiries by landing page, stated need, source note, stage, and accepted next action. - Separate inquiry count from qualification and from later sales outcomes. - Choose the next cycle from the strongest verified gap in discovery, answer accuracy, page clarity, proof, or follow-up. Done criteria - The review records the source, date range, audience scope, and denominator for every inquiry observation. - The next cycle names one priority, one target URL, one acceptance check, and one business guardrail. Why Search discovery, citations, and inquiry quality need a longer observation window than a production release check. Target page Day-60 evidence review Verified date Not yet verified Public evidence No public evidence link available Repeatable how - Compare the day-60 evidence with the original baseline and the exact release dates. - Review organic discovery, AI-search observations, and qualified inquiries separately before looking for a relationship. - Record confounding changes such as campaigns, site releases, seasonality, or offer changes. Done criteria - The day-60 review uses dated sources, scope, and denominators and does not infer causation from coincidence. - The decision record states continue, revise, or stop for each active hypothesis. Why A second fixed review tests whether a directional signal persists, disappears, or needs a different explanation. Target page Day-90 evidence review and next-quarter roadmap Verified date Not yet verified Public evidence No public evidence link available Repeatable how - Repeat the day-60 evidence collection at the same scope where possible. - Compare page-level discovery, answer accuracy, cited sources, qualified inquiries, and downstream stages. - Publish only conclusions supported by the available evidence and preserve Not yet measured where gaps remain. Done criteria - The day-90 review documents comparable inputs and every scope change. - The next roadmap decision names the evidence used and the remaining uncertainty. Why A durable research asset gives readers attributable evidence with definitions and limits instead of untraceable summary statistics. Target page [https://markethink.ai/ai-marketing-statistics/](https://markethink.ai/ai-marketing-statistics/) Verified date September 12, 2026 Public evidence [Open the public research ledger](https://markethink.ai/ai-marketing-statistics/) Repeatable how - Maintain one public ledger with stable statistic IDs, original-source URLs, study scope, sample notes, evidence type, and limitations. - Render the research page and downloadable CSV and JSON from the reviewed ledger. - Keep Markethink analysis separate from third-party findings and date substantive reviews. Done criteria - The public page identifies 60 statistics from 9 original sources and preserves source context. - The downloadable CSV and JSON ledgers are linked from the page and publicly available. Why Educational guides provide useful context around search visibility, evidence, approvals, and operating discipline without turning every query into a new commercial page. Target page [https://markethink.ai/blog/how-to-show-up-in-ai-search/](https://markethink.ai/blog/how-to-show-up-in-ai-search/) Verified date September 12, 2026 Public evidence [Open the public AI-search guide](https://markethink.ai/blog/how-to-show-up-in-ai-search/) Repeatable how - Use distinct informational intent for each guide and link it to the nearest relevant commercial or research destination. - Support methodology claims with current primary sources and state platform and measurement limits plainly. - Update visible dates only when the content changes substantively. Done criteria - The blog index and the AI-search guide are publicly reachable with server-rendered content. - The guide explains that AI-search visibility is not guaranteed and links to relevant Markethink context. Why The statistics resource and editorial library need a coherent B2B visual system across responsive pages, cards, and sharing surfaces without presenting conceptual scenes as customer proof. **Current progress:** The exact approved V2 page, card, responsive, and sharing image system is published and independently verified in production. Target page [Published statistics resource, blog index, and nine article routes](https://markethink.ai/blog/) Verified date September 13, 2026 Public evidence [Open the published V2 editorial image system](https://markethink.ai/blog/) Repeatable how - Use the exact approved V2 source selections and responsive derivatives across the statistics hero, nine article heroes, blog cards, and related cards. - Preserve the full-scene P04 mobile treatment without CSS recropping and keep rejected D and the first P08 absent. - Provide a dedicated 1200×630 sharing derivative for every placement and use it consistently in Open Graph, Twitter, and dimensioned ImageObject metadata. - Verify public routes, image decoding, responsive selection, card order, metadata, useful conceptual alt text, and protected statistics and palette invariants. Done criteria - The approved P01–P10 responsive images are live in the statistics hero, nine article heroes, blog cards, and related cards; P04 preserves the full logistics scene at 320px, and rejected D and the first P08 remain absent. - All ten routes use distinct versioned 1200×630 sharing images consistently across Open Graph, Twitter, and dimensioned ImageObject metadata with useful conceptual-editorial alt text; the rejected legacy food and pottery sharing images are absent. - Production verification confirms ten canonical routes, exact P02–P10 card order, decoded assets, contained narrow layouts, unchanged statistics ledgers and charts, and the established charcoal, warm-white, soft-wash, and green website palette. Why The blog and research surfaces should use the canonical charcoal, warm white, soft green, vivid green, and established gray palette without bundling unrelated redesign work. **Current progress:** The canonical palette release and final base cleanup are independently verified in production. Target page Published blog index, representative article, and statistics chart Verified date September 12, 2026 Public evidence [Published blog index with independently verified canonical base](https://markethink.ai/blog/) Repeatable how - Keep the correction isolated to the blog index, one representative article, and one statistics SVG chart. - Review each changed surface at desktop and mobile sizes and confirm that text contrast remains accessible. - Keep the final canonical-base cleanup open until an independent production check closes it. Done criteria - The published correction preserves the green blog and article treatment, contained desktop and 320px views, CAPTCHA behavior, IAB SVG colors, the 82/45/37 values, byte-identical CSV and JSON hashes, and all 60 statistic anchors. - The final canonical-base cleanup is independently verified and closed without changing the protected research values or links. MEASUREMENT NOTES ## Three lanes, three honest baselines. Future observations must include a source, date, scope, and denominator. A missing baseline is Not yet measured, never zero. 01 Organic discovery **Not yet measured** ### What we will observe Crawl and index state, search impressions, clicks, landing pages, and qualified organic visits for the approved URL set. ### Important limit Publication and crawl eligibility are not proof of impressions, clicks, rankings, or business impact. Required on every observation: source · date · scope · denominator 02 Observed AI-search citations and accuracy **Not yet measured** ### What we will observe Mentions, cited pages, source diversity, and factual representation across a fixed sample of buyer questions. ### Important limit A sampled answer is directional. It is not a universal AI-search ranking or a guarantee of future citation. Required on every observation: source · date · scope · denominator 03 Qualified inquiries **Not yet measured** ### What we will observe Inquiries connected to the reviewed landing pages, including source note, stated need, qualification, stage, and accepted next action. ### Important limit Inquiry count, inquiry quality, meetings, opportunities, and revenue are separate stages and must not be collapsed into one result. Required on every observation: source · date · scope · denominator METHOD, NOT MAGIC ## What AIO changes, and what it does not. Conventional SEO, useful original or first-hand content, accurate facts, crawlable pages, internal links, and clear site structure remain central. Google's current official guidance says its generative AI search features use core Search ranking and quality systems. It recommends valuable, non-commodity content and a clear technical structure. It also says there is no special schema.org type, AI text file, or additional technical requirement that guarantees inclusion. Structured data still helps search systems understand eligible page types when it matches visible content. It does not guarantee a rich result, ranking, mention, or citation. [Google Search Central · Updated July 10, 2026 Optimizing your website for generative AI features on Google Search](https://developers.google.com/search/docs/fundamentals/ai-optimization-guide) [Google Search Central · Site-owner guidance AI features and your website](https://developers.google.com/search/docs/appearance/ai-features) [Google Search Central · Content guidance Using generative AI content on your website](https://developers.google.com/search/docs/fundamentals/using-gen-ai-content) ### Experiment boundary We are documenting what Markethink changes, when it changes, what acceptance check passed, and what we observe afterward. We are not claiming that every older strategy or vendor measurement has been independently verified, and we are not promising rankings, citations, traffic, leads, or revenue. RELATED FIELD NOTES ## Read the evidence behind the operating plan. [Practical guide How to get your business to show up in AI search Read the source-backed foundation, readiness checks, evidence model, and measurement limits.](https://markethink.ai/blog/how-to-show-up-in-ai-search/) [Research ledger AI marketing statistics, with the source behind every number Review the public statistics, study scopes, original-source links, and downloadable source ledgers.](https://markethink.ai/ai-marketing-statistics/) APPEND-ONLY CHANGE LOG ## What changed. - September 13, 2026 ### V2 B2B editorial image system published and verified Published the exact approved P01–P10 editorial system across the statistics resource, blog cards, related cards, and nine article heroes with responsive sources and protected P04 mobile framing. Added ten distinct 1200×630 sharing derivatives across Open Graph, Twitter, and dimensioned ImageObject metadata. Production review confirmed exact card order, decoded assets, useful conceptual alt text, ten canonical routes, absent rejected legacy imagery, contained narrow layouts, and unchanged statistics ledgers, charts, and website palette. - September 12, 2026 ### Canonical blog base independently closed Independent production review closed the final canonical-base cleanup at 19:05 on September 12, 2026. The blog base uses #F5F5F1 to #EDF4EA with the intended green treatment, while the protected research values, source links, and earlier verification evidence remain unchanged. - September 12, 2026 ### Palette correction published and independently checked Published the canonical palette correction. Independent verification confirmed the green blog and article treatment, contained desktop and 320px views, CAPTCHA behavior, IAB SVG canonical colors with the 82/45/37 values preserved, byte-identical CSV and JSON hashes, and all 60 statistic anchors. Palette work remains In progress until the final canonical-base cleanup is independently closed. - September 12, 2026 ### Initial public roadmap published Published the public 30-day plan, recorded the public statistics and blog evidence as pre-existing progress, and kept the B2B imagery and palette correction workstreams marked In progress rather than live. USE THE PLAYBOOK ## Bring us the search and pipeline gap you need to understand. We will map the buyer question, page ownership, evidence, measurement, and next decision before recommending more content. [Request available times](https://markethink.ai/schedule-a-walkthrough/) The existing form requests available times. It does not book a meeting.