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Search evidence loop

Measure discovery without pretending every mention is demand.

SEO/GEO reporting needs separate receipts for eligibility, impressions, clicks, visits, inquiries, citations, and customers. A model mention is useful evidence; it is not a sale or a stable ranking.

By Ryan WannerPractical guideReviewed August 20, 2026

The monthly evidence board.

  1. 01

    Eligibility

    Public status, rendered content, canonical, sitemap, internal links, and URL Inspection state.

  2. 02

    Search visibility

    Impressions, clicks, CTR, position distributions, queries, pages, devices, and comparison window.

  3. 03

    On-site behavior

    Landing sessions, engaged visits, downloads, video engagement, and guide-to-guide paths when instrumented.

  4. 04

    Business outcome

    Inquiries, qualified conversations, checkout receipts, and customers from owned systems—not inferred from traffic.

  5. 05

    AI observation

    Run a fixed persona/intent prompt set across named model surfaces and record response, citations, date, and variation.

  6. 06

    Change log

    Tie material edits to URLs and dates; review trends cautiously and avoid claiming causation from one change.

Build the report from the receipts you have.

Monthly discoverability reviewer

Design a monthly SEO and AI-visibility review from the evidence I actually have.

SEARCH CONSOLE EXPORT
[queries, pages, countries/devices, dates]

ANALYTICS / CONVERSION EVIDENCE
[or NOT PROVIDED]

SERVER LOG / CRAWL EVIDENCE
[or NOT PROVIDED]

AI PROMPT SAMPLE
[persona, intent, prompt, model surface, date, response, cited sources]

CONTENT CHANGES
[URLs, what materially changed, and dates]

Return: baseline, leading indicators, outcome indicators, anomalies, evidence gaps, page-level actions, and next month's fixed prompt sample. Separate impression, click, visit, inquiry, citation, and customer evidence. Do not infer one from another. Do not treat a single model answer as a stable rank.

Situation

Fast virtual staging cluster

Pages earn impressions for FSBO and model-specific queries; one AI answer cites the hub; downloads are instrumented but CRM attribution is incomplete.

Useful output

Report impressions/clicks, cited-answer observation, downloads, and attribution gap separately. Prioritize the high-impression low-CTR page and source-to-inquiry instrumentation.

Completion receipt

Dated exports, fixed prompt sample, response captures, page change log, download events, CRM join status, and named next actions.

Keep building the system.

Technical audit

Make sure the measurement target is actually live.

Open standalone guide →

Citable content

Improve pages based on reader and evidence gaps.

Open standalone guide →

Social + Search Console

Add website and supported platform properties.

Open standalone guide →

Research sources

Check the current rules, capabilities, and source basis.

  1. 01Google Search Console: URL Inspection ↗

    First-party instructions for checking Google's indexed and live view of a URL in a verified property.

  2. 02Google Search Console: Links report ↗

    What Search Console's external and internal link reports include, omit, and help diagnose.

  3. 03Google: AI optimization guide ↗

    Google's current guidance for generative Search features: useful pages, standard Search foundations, good media, and no query-variation page spam.

  4. 04Neil Patel: Generative engine optimization ↗

    Requested practitioner framing for direct answers, authority, original evidence, structured content, and visibility beyond classic rankings.

Product access, limits, local listing rules, platform policies, and laws can change. Re-check the linked authority before important or public work.

Keep building

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AI Acceleration: Real Estate is a private, self-directed curriculum for practical AI work across content, communication, lead follow-up, CRM, client research, operations, and relationship management. Build it. Review it. Keep what works.

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No ranking, revenue, closing, or time-saving promise. The classes teach the work and the review systems around it.