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To check whether AI answers accurately describe your brand, compare the material claims in saved answers with a dated reference sheet of your authoritative business facts. Record whether the brand was mentioned, recommended, or cited separately from whether the answer is correct—and inspect cited pages to see if they actually support the claims.
What to measure in a brand-accuracy audit
An answer can mention your brand without recommending it, cite your site without describing it correctly, or describe it accurately without naming a source. Track these as separate outcomes rather than treating mentions or citations as proof of accuracy.
- Mention: Does the answer name your brand?
- Recommendation: Does it suggest your brand for the user’s need?
- Citation: Does it link to or name a source, and does that source support the associated claim?
- Accuracy and freshness: Are the material claims correct and current, including any qualifications?
- Omission: Does it leave out a qualification that would change how a buyer understands the answer?
There is no universal cross-platform accuracy score or benchmark established by the official product guidance reviewed as of October 4, 2026. Treat each answer as an observation tied to a particular product, mode, prompt, market, and date.
Build a dated reference sheet of facts
Before testing answers, record the facts an answer must get right. Use your authoritative pages and business records, and date the sheet so you can distinguish a genuinely wrong answer from one that reflects an older version of your offering.
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- Exact names of the business, products, and services.
- What each product or service does—and what it does not do.
- Locations or regions served, and any eligibility limits.
- Current prices, terms, hours, and contact details when relevant to customer questions.
- Claims your brand does not make, such as unsupported capabilities or guarantees.
- The source page or record for each fact, plus the date it was checked.
Prefer a specific, published source for each fact. If a policy or price varies by region, plan, or date, preserve that qualification in the reference sheet rather than reducing it to a single unqualified claim.
Create a fixed set of buyer-question prompts
Choose questions a real buyer might ask, including prompts likely to reveal stale, incomplete, or ambiguous information. Keep wording stable from one audit round to the next; otherwise, a changed response may be caused by a changed question.
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- Branded: “What does [brand] do?”
- Product-specific: “What does include?” or “Who is [service] for?”
- Comparison: “How does [brand] compare with [alternative] for [need]?”
- Recommendation: “Which provider is suitable for [specific use case]?”
- Practical: “Does [brand] serve [location]?” or “What are [brand]’s current terms?”
For every run, note the AI product and mode, market and language, date, and exact prompt. A response in one language, country, or mode is not evidence of how the product answers elsewhere.
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- Submit the fixed prompts to each AI product that matters to your audience. Record the product and mode, market, language, and date.
- Save the complete response, not just the sentence that mentions your business. Keep its linked or named sources and the exact prompt alongside it.
- Keep separate observations when you repeat a prompt or rerun it later. Do not silently replace an earlier answer with a newer one; the variation is part of what the audit measures.
- Compare each material claim with the dated reference sheet. Mark it accurate, inaccurate, outdated, ambiguous, or unsupported.
- Inspect cited material at the page and passage level. A citation may be irrelevant, outdated, or fail to substantiate the sentence beside it.
- Look for repeat patterns across runs and products before deciding that an error is recurring. One answer is a sample, not proof of a platform-wide behavior.
Keep your claim-level notes distinct from visibility and referral-traffic measures. A site can receive citations without those citations supporting every claim, and a correct answer does not necessarily produce a site visit.
Use Search Console and Bing reports for visibility—not a truth verdict
First-party webmaster reports can help show where a site appears in specific generative search experiences. Their scope and metrics differ, so do not compare totals across products as if they share a denominator, coverage, or definition.
| Tool and scope | What it can tell you | What it cannot establish |
|---|---|---|
| Google Search Console Generative AI performance report: generative AI features on Google Search and Discover, as described in Google’s guidance. | Performance in the covered Google generative features. Google says those features use Search’s existing systems and retrieved pages. | Whether a particular answer’s claims are true, or how your brand is described across all assistants. A page must be indexed and eligible for a Search snippet, but eligibility does not guarantee crawling, indexing, or serving. |
| Bing Webmaster Tools AI Performance: Microsoft’s February 2026 public preview covers Microsoft Copilot, AI-generated Bing summaries, and select partner integrations. | Total citations, average cited pages, sample grounding queries, page-level citation activity, and trends within the report’s coverage. | A page’s placement or presentation in a specific answer, its ranking or authority, its role in an answer, or the factual accuracy of an answer. Microsoft says these counts and cited-page data do not establish those things. |
Microsoft announced that Intents, Topics, Citation Share, and Compare were beginning a global preview rollout on June 16, 2026. Citation Share is the percentage of citations attributed to a site out of the citations shown for the same grounding query. Microsoft describes it as an observational metric, not a ranking system, competitive scoreboard, traffic share, or quality score; labels and coverage remain preview features. See the announcement of the preview additions.
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When reviewing any report, note its reporting period, market, and supported surfaces. Use its metrics as visibility signals within that scope, then inspect actual answers and source pages to judge accuracy.
Fix information problems without expecting a guaranteed mention
When answers are wrong or incomplete, start with the source information you control. Google’s guidance recommends foundational SEO, useful and distinctive people-first content, and technically accessible, crawlable pages. Its generative features use information from Search; indexed and eligible content can still go unserved. Google says special AI markup and llms.txt are not required for its Search AI features and warns against inauthentic mentions or pages created mainly to manipulate AI results. None of these changes guarantees that an AI answer will mention your brand. See Google’s guidance for AI features in Search.
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- DAILY HEALTH MONITORING - This blood pressure log book enables record your daily blood pressure, heart rate and medication intake at home and log them in this handy easy-to-read log book.
- EASY TO RECODE - Use this blood pressure journal allows 4 entries per day, morning, afternoon, evening, and night; Keep a consistent bp record throughout the day. Whether you have high blood pressure or just want to maintain a healthy lifestyle, our blood pressure book is the perfect solution for you.
- HIGH QUALITY - This blood pressure notebook log size of 5.8" x 8.5", just the perfectly size to fit in your backpack, purse or laptop case. Is used to high quality 100gsm pure white paper, elastic band and a back pocket for extra space.
- FOCUS ON HEALTH GOALS - Our premium blood pressure tracker log book is designed with your health and convenience in mind, making it easier than ever to monitor and track your blood pressure readings.you can easily carry it with you on the go, making it perfect for regular check-ups with your doctor. The clear and organized layout allows you to quickly and accurately record your readings, and the weekly data pages allow you to track your progress over time.
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- Correct outdated or contradictory facts on the authoritative pages your audit identifies.
- Make important product, service, policy, and location details clear and accessible to users and crawlers.
- For a local business, reconcile public details such as address and hours across authoritative listings. Microsoft points business owners to Bing Places for Business for location-based AI answers.
- Microsoft describes IndexNow as a way to notify participating search engines of additions, updates, or removals; notification does not guarantee inclusion in an answer.
- After making changes, rerun the same prompts and record new observations rather than assuming the change worked.
Use third-party trackers cautiously
A third-party monitoring service may help teams repeat prompts or gather answers from multiple systems, but its coverage and methods need checking. Verify the exact products, modes, countries, prompts, and sources it covers; ask how it identifies a mention, citation, sentiment, and factual error; and inspect raw answers and source links instead of relying on a blended score.
Google says third-party services do not have access to its internal ranking data and cannot guarantee performance. It also advises evaluating services against official guidance: Google’s third-party SEO guidance. Vendor estimates should not be presented as Google data, and a paid tracker is not necessary to do a manual audit.
Keep the audit comparable over time
For each observation, preserve the same comparison fields: AI product and mode; market and language; date and repeat run; exact prompt; complete answer; mention, recommendation, and citation status; cited-page support; claim accuracy and freshness; and important omissions. Review patterns within each product and reporting scope rather than combining unlike visibility metrics into a single score.
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