Steal our SEO & AIO strategy.

Repeatable how

1. Write a fixed sample of commercial and educational questions a buyer could ask before choosing managed marketing help.
2. Record the result format, intent, cited sources, and pages already competing for each question.
3. Keep the location, language, device, and collection date with the sample so it can be repeated.

Repeatable how

1. Inventory indexable Markethink pages from the live sitemap and classify each by audience, intent, and conversion job.
2. Assign one primary page to every validated query family and flag genuine coverage gaps separately.
3. Treat similarity as a review signal, then use intent and observed query overlap before deciding to split or combine pages.

Repeatable how

1. Record crawl and index signals for the target URLs from accessible first-party sources.
2. Record organic discovery, observed AI-search citations and accuracy, and qualified inquiry data as separate lanes.
3. Use Not yet measured when a source is unavailable instead of substituting zero.

Repeatable how

1. Compare the current first viewport and service explanation against the validated buyer questions.
2. Clarify who directs strategy, what runs day to day, what the client approves, and how work connects to leads and follow-up.
3. Preserve the homepage as the primary commercial owner for AI marketing agency intent.

Repeatable how

1. Review the existing commercial hub and comparison coverage against the query-to-URL map.
2. Add decision criteria, fit and non-fit guidance, tradeoffs, and a restrained handoff to the walkthrough where gaps are proven.
3. Keep comparison language factual and avoid inventing competitor features, pricing, or outcomes.

Repeatable how

1. Add a provider evaluation matrix that helps businesses compare scope, accountability, evidence, and fit.
2. Separate work accelerated by AI from expert judgment, client approval, and follow-up responsibility.
3. Include one documented example and link the guide back to the homepage as the primary commercial owner.

Repeatable how

1. Choose one workflow with documented public-use clearance and evidence that can be shown without exposing private client information.
2. Document the starting problem, approved scope, work produced, review decisions, and observable result without inferring causation.
3. Separate verified facts from Markethink analysis and confirm every named claim and asset is cleared for public use.

Repeatable how

1. Turn only approved findings into page-level copy, structure, metadata, and usability changes.
2. Use a preview and compare the candidate against the current production page before publication.
3. Run focused tests, a full build, responsive review, accessibility checks, and link verification before release.

Repeatable how

1. Place approved proof next to the claim it supports and state the evidence limit in plain language.
2. Add crawlable contextual links from the homepage, research, and relevant guide surfaces using varied descriptive anchors.
3. Resolve every unique destination and confirm that the target page returns the expected content.

Repeatable how

1. Shortlist relevant publications, associations, expert-commentary formats, profiles, and communities connected to the buyer questions.
2. Prepare the evidence each publication would need and record its audience fit, editorial standard, and contribution path.
3. Review the evidence and audience fit before outreach so each proposed contribution is useful and relevant.

Repeatable how

1. Open each bare canonical URL in a fresh browser and confirm the release-specific copy is present.
2. Check the main response, canonical, robots state, sitemap, structured data, links, console, network, and responsive layout.
3. Record indexing observations separately from publication because discovery and indexing can lag a release.

Repeatable how

1. Run the same approved questions with the same language, location, device, and collection method used for the baseline.
2. Record mentions, cited pages, source diversity, answer accuracy, and material changes for each question.
3. Keep missing citations and inaccurate representations visible rather than selecting only favorable responses.

Repeatable how

1. Review qualified inquiries by landing page, stated need, source note, stage, and accepted next action.
2. Separate inquiry count from qualification and from later sales outcomes.
3. Choose the next cycle from the strongest verified gap in discovery, answer accuracy, page clarity, proof, or follow-up.

Repeatable how

1. Compare the day-60 evidence with the original baseline and the exact release dates.
2. Review organic discovery, AI-search observations, and qualified inquiries separately before looking for a relationship.
3. Record confounding changes such as campaigns, site releases, seasonality, or offer changes.

Repeatable how

1. Repeat the day-60 evidence collection at the same scope where possible.
2. Compare page-level discovery, answer accuracy, cited sources, qualified inquiries, and downstream stages.
3. Publish only conclusions supported by the available evidence and preserve Not yet measured where gaps remain.

Repeatable how

1. Maintain one public ledger with stable statistic IDs, original-source URLs, study scope, sample notes, evidence type, and limitations.
2. Render the research page and downloadable CSV and JSON from the reviewed ledger.
3. Keep Markethink analysis separate from third-party findings and date substantive reviews.

Repeatable how

1. Use distinct informational intent for each guide and link it to the nearest relevant commercial or research destination.
2. Support methodology claims with current primary sources and state platform and measurement limits plainly.
3. Update visible dates only when the content changes substantively.

Repeatable how

1. Review the contact sheet for B2B relevance, composition, diversity, crop behavior, and consistency with the website palette.
2. Record approved and rejected directions before preparing any route-level replacement.
3. Keep all existing public images in place while the separate visual review remains open.

Repeatable how

1. Keep the correction isolated to the blog index, one representative article, and one statistics SVG chart.
2. Review each changed surface at desktop and mobile sizes and confirm that text contrast remains accessible.
3. Keep the final canonical-base cleanup open until an independent production check closes it.