Bing AI Performance: turn cited pages into content opportunities

By Abiot Y. Derbie - Founder, RankEcho - Updated 2026-09-26

SOURCE
Verified site/property:
Report capture and selected period:
Metric label and value:
Cited URL:
Grounding phrase as displayed:
Screenshot or saved report:

CONTENT OPPORTUNITY
Reader task suggested by the phrase:
Basis: observed report phrase / customer question / editorial hypothesis
Existing page and answer location:
Verified missing, unclear or outdated information:
Supporting product record or source:
Decision: keep / improve / link / investigate / distinct new page
Proposed deliverable and acceptance check:
Owner and publication date:

FOLLOW-UP
Same report view and comparison period:
Citation observations:
Separately measured visits and useful site actions:
Other changes that may affect interpretation:

What does Bing AI Performance measure?

Bing introduced AI Performance as a public preview in February 2026. Its announcement describes a combined view across Microsoft Copilot, Bing AI summaries and selected partner integrations. Check the report’s current labels and scope when you use it.

How do you start a useful review?

Open Bing Webmaster Tools for your verified site and find the AI Performance view. Save the selected period and the exact labels displayed. This article uses the publicly documented report; it does not present an authenticated walkthrough of your account.

Start with a few URLs that matter to your intended customers. Read the cited page as a buyer would. Ask what it helps the reader decide and which details make that decision possible.

Then inspect the grounding phrases available for the review. Record them verbatim in your private working notes and label any interpretation you add. A phrase can suggest a task to investigate, but it does not supply the full original conversation or establish search volume.

What do grounding queries tell you about content gaps?

Bing describes these phrases as a sample of retrieval activity associated with citations. Treat them as a lead. A phrase about permissions might point to an existing documentation page, a pricing condition or a question your sales team already answers.

Check the proposed gap against the actual site. If the answer is present and easy to find, link or retain it. If it is unclear, improve that section. If the phrase suggests a separate decision, research the task before creating a new page.

Do not copy a list of grounding phrases directly into a publishing calendar. Several phrases may be answered by one strong page, and some may be irrelevant to the audience you want to reach.

A worked example: three observations, three different actions

Fictional example: HarborDesk reviews cited pages over two completed periods of equal length. The citation counts below are invented to show the workflow, not evidence of a growth result.

How do you prioritize the resulting queue?

Rank candidates by the importance of the reader’s decision, the strength of your supporting information and the work required to complete the answer. A heavily cited page is worth maintaining, but its citation count is not a measurement of buyer value.

For the permissions example, the editor can name the missing step and verify it against product documentation. That makes it a concrete near-term improvement. The proposed comparison needs additional work: explain the trade-offs, identify who should keep shared email and provide enough detail for a choice.

Give each candidate one decision and one owner. A queue of three specific actions is easier to complete and review than a long list of generic requests to optimize for AI.

How should you compare citations over time?

Use the same property, metric and reporting window definition. Record when you captured the data and any visible scope changes. Keep average cited pages separate from the count of unique URLs over an entire period; those are different summaries.

Bing cautions that citation counts do not describe placement, ranking or page importance. A page moving from 18 to 24 reported citations is a change in that series. It does not establish how many people visited, whether they recommended the product or why the count changed.

Save the date and nature of a content change so you can interpret later observations alongside other events. Retain no movement and decreases; they are part of the same review.

Where do traffic and conversions fit?

Use analytics to inspect identifiable visits and useful actions on the pages you reviewed. Keep the attribution rule visible: a referrer identifies one observable route to the site, while missing or different referrers can leave gaps.

For a content-led SaaS business, useful actions might include opening an integration guide, inspecting pricing, viewing a sample or starting an audit. Choose the actions that fit the page rather than adding a sales prompt after every paragraph.

Do not divide total site sessions by Bing’s reported citations and call the result an AI conversion rate. The numerator and denominator would describe different populations. Keep the native report, identifiable traffic and completed site actions as separate series.

How does this connect to RankEcho?

Use the report to nominate an owned page for review. Carry the specific missing answer, supporting source and acceptance check into Fix Engine or the content brief. Review the proposal before publication.

Bing remains the source for its native report. RankEcho’s configured observations and Proof Loop use their own collection methods; they should not be presented as the same dataset or as a native Bing AI Performance import.

Keep the workflow practical: inspect one cited page, improve a real reader problem, publish a reviewed change and return to the same measurement view.

Frequently asked questions

Sources reviewed

Material technical claims below were checked against primary provider documentation. The sources support the documented control or signal, not a guarantee of indexing, ranking, an AI impression, or a citation.