AEO service

Field guide · Methodology

How to evaluate AI-search visibility without pretending there is one rank.

AI answers vary by engine, model, mode, location, account, and time. A useful evaluation therefore freezes a question cohort, records observable evidence, separates citations from mentions, and keeps real lead outcomes in a different ledger.

Published September 5, 202624-question cohortManual, observed evidence

Step 01

Measure a changing answer surface, not a universal rank

Traditional rank tracking assumes a repeatable list of results. AI answers do not offer one universal list. The output can change with the engine, model, product mode, location, account state, source refresh, and the way a question is phrased. A single screenshot cannot establish a permanent position.

The defensible unit is an observed question-and-engine cell: one exact question, asked in a recorded context, on a recorded date. Preserve the answer state and source URL, then repeat the same cohort later. Describe the result as observed coverage, not “AI rank.”

Step 02

Build and freeze a 24-question buyer cohort

Start with real buyer decisions, not a pile of near-duplicate keywords. Confirm the business's market, services, audience, pricing or quote rules, constraints, named alternatives, and official entity details. Then write six questions in each of four groups.

6 × DiscoveryCan the engine connect an unbranded need to the business?
  1. Which companies provide [service] in [market]?
  2. Who can help with [problem] in [market]?
  3. What are the options for [service] near [market]?
  4. Which local providers specialize in [specific need]?
  5. Where can [buyer type] get [service] in [market]?
  6. What companies offer [service variant] in [market]?
6 × ComparisonCan a buyer understand fit and trade-offs without invented superiority?
  1. Compare [business] with [named alternative] for [use case].
  2. What are alternatives to [named alternative] in [market]?
  3. Which provider fits a buyer who needs [constraint]?
  4. How do [business] and [alternative] differ in scope?
  5. [Business] vs [alternative]: who is each option for?
  6. Which [service] option supports [specific requirement]?
6 × QualificationCan the engine retrieve the details a serious buyer needs to act?
  1. Does [business] provide [service] in [market]?
  2. Does [business] work with [buyer type]?
  3. What is included in [business]'s [offer]?
  4. How much does [business] charge for [offer]?
  5. What is excluded from [business]'s [offer]?
  6. How can I contact or book with [business]?
6 × Entity and factsAre basic identity and service facts consistent and attributable?
  1. What is [business]?
  2. Where does [business] operate?
  3. Who is [business] for?
  4. What services does [business] offer?
  5. What does [business] say makes its approach different?
  6. What are [business]'s official website and contact details?

Replace every bracketed field with approved facts. Save the exact wording as cohort version 1. Do not rewrite weak questions between monthly runs just to improve the result. If the offer or market changes enough to require a new cohort, label it a new baseline.

Step 03

Run a comparable manual observation

Name the engines and product modes before the run. Use the same approved questions within a bounded observation window. Manual review matters because the evidence is the rendered answer and its links, not a simulated API response or a search snippet from another product.

Record these fields for every cell

  • Exact question and cohort version
  • Engine, product mode, and model when shown
  • Date, time window, location, and login state
  • Cited, mentioned, absent, or N/A/blocked state
  • Owned URL cited, when present
  • Answer excerpt or screenshot reference
  • Reason for N/A or blocked status
  • Reviewer and review notes

If a login wall, regional limitation, rate limit, safety response, bot challenge, or product outage prevents a comparable answer, mark the cell N/A or blocked. Never silently turn an unobserved sample into “absent.”

Step 04

Separate citations, mentions, absences, and blocked cells

Cited

The answer includes a clickable source link to the owned site.

Mentioned

The business is named, but the answer does not link to the owned site.

Absent

The completed answer neither names the business nor cites the owned site.

N/A or blocked

No comparable answer could be observed. Keep it out of the coverage denominator and state why.

Keep counts and denominators visible. A practical report can state:

observable cells = cited + mentioned + absent
citation coverage = cited ÷ observable cells
mention-inclusive coverage = (cited + mentioned) ÷ observable cells

Report N/A and blocked cells beside those rates, never inside the denominator. Also list the actual cited pages and source links. A mention without a link is useful entity evidence, but it is not a citation and should not be relabeled as one.

Bing's AI Performance report can add aggregate citation and cited-page evidence for supported Microsoft experiences. Bing explicitly says those metrics do not indicate placement, page importance, authority, or rank within an answer.

Step 05

Improve pages for people and accurate retrieval

Use the baseline to find questions the site should answer better. The goal is not to repeat a phrase until a model notices it. The goal is to publish a page a buyer would choose to read and an engine can quote without stripping away a critical condition.

A direct answer first

Answer the page's main buyer question in plain language before expanding into detail.

Verifiable facts and boundaries

Name the service, audience, geography, price or quote rule, exclusions, and evidence that the business can actually support.

Descriptive structure

Use specific headings, short paragraphs, lists, and tables where they make comparison or retrieval easier.

Consistent entity details

Keep names, URLs, contact details, offers, and locations consistent across visible pages and owned profiles.

Useful source links

Link factual claims to primary sources and connect related owned pages with descriptive internal links.

Matching structured data

Use schema only for content visitors can see. There is no special AEO schema, and more markup is not automatically better.

For every substantial update, retain the old and new page state, the buyer question it addresses, the supporting source, the approval, and the publish date. Avoid doorway pages, hidden text, keyword spam, unsupported superlatives, and mass-produced pages that add no new help.

Step 06

Measure qualified leads in a separate evidence chain

Visibility is an upstream observation. A citation is not a lead, and a lead is not revenue. Keep those claims separate until evidence connects them.

1. Visibility

Question-and-engine observation, state, source URL, and date.

2. Visit

Analytics landing page and referrer or campaign data when available; otherwise label attribution unknown.

3. Qualified inquiry

A form, call, email, or booking that meets the business's pre-agreed qualification rules.

4. Outcome

A booked appointment, accepted opportunity, payment, or other CRM/accounting evidence owned by the business.

Use explicit source fields in the contact or CRM record, preserve landing-page and referrer data where consent and tooling allow it, and ask a plain “How did you hear about us?” question when useful. Self-reported “ChatGPT” or “Perplexity” is evidence of the buyer's recollection, not proof of the exact answer or page that caused the visit.

Step 07

Use 90 days as an evaluation window, not a guarantee

Month one creates the technical and question baseline. Months two and three repeat the cohort and add substantive, approved page changes. At the 90-day review, compare like with like and decide whether the observed signal and business evidence justify continuing, changing scope, or stopping.

Coverage

Cited, mentioned, absent, and N/A/blocked cells using the same cohort and named engines.

Pages

Which owned URLs were cited, what was updated, and whether the changes remain accurate.

Technical

Crawl/indexability signals, rendering, canonical, sitemap, internal links, and schema-to-visible-content consistency.

Business

Qualified inquiries, bookings, or payments only when separate source evidence exists.

Do not claim causation from a before-and-after count alone. AI products, source indexes, competitors, and answer generation all change. The review is a decision aid grounded in observed evidence, not a promise that citations, traffic, or leads will increase in 90 days.

Step 08

Read the engines' primary guidance

Want this method applied to your owned site?

The Chleb AEO scope covers one site, a fixed 24-question cohort, two substantial monthly page updates, a technical check, and an evidence report. Scope and price are quoted on a discovery call.

Review the AEO scope