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Resources / 2026 AI visibility review

Measure AI visibility before expanding the programme.

Use a repeatable observation method to understand where your firm appears and what information an answer relies on.

Burgundy observation frames aligned around a clear glass prism on a limestone plinth.
RankMyFirm / Resources / 2026 AI visibility review

Choose a question set with a purpose.

Separate branded checks from service-discovery questions and factual research. A firm may appear when asked about by name but be absent from a service comparison. Combining those checks into one unexplained percentage can conceal the difference.

Use questions that fit the firm’s real services and audience. Record why each belongs in the sample. Unless you have relevant search-demand data, describe these as selected research prompts rather than high-volume keywords.

Record enough context to repeat the check.

Save the exact prompt, observation time, platform and any visible feature or mode. Note relevant location or session context. Preserve the answer capture and the actual cited links where available.

Repeat checks on a defined schedule if the programme calls for a trend. Keep the question set stable or clearly identify changes. An answer can vary between observations, so one appearance does not establish a permanent position.

ObservationWhat it supportsWhat it does not establish
Firm named in an answerA mention in that recorded response.A recommendation to every user.
Firm URL linkedA citation or link in that response.That the linked page supports every claim.
Referral visit recordedAn identifiable visit from the recorded source.All AI-influenced visits or enquiries.
Google AI report totalThe metric and scope shown in that report.Independent assistant performance.
Qualified enquiryAn intake-assessed contact meeting the definition.A causal link to AI without attribution evidence.

Check accuracy before chasing more mentions.

An answer that names the firm but gives an old office address is a correction priority. Inspect the cited source and the firm’s public profiles. If the answer links to another publisher, record that source rather than assuming the firm’s homepage is responsible.

Improve information that can be supported: service scope, professional identities, contact details and useful original explanations. Buying fabricated endorsements or publishing invented results creates unreliable source material.

Keep the Google and assistant evidence distinct.

Google’s guidance says its existing search requirements and good SEO practices apply to its AI features. There is no special markup that guarantees inclusion. Other assistants have their own experiences and source-selection behaviour.

In our Scarsdale Solicitors case study, the supplied Google generative AI features report shows 58.2K impressions for 1–28 July 2026. The page separately describes owner-reported assistant appearances. That separation prevents a Google metric from becoming an unsupported cross-platform total.

Use a blank observation log.

The downloadable CSV gives your team a consistent place to record checks. It contains no prefilled results, market estimates or invented platform scores. Store answer captures in the firm’s approved location and reference them from the log.

Turn findings into a scoped action.

Choose AI Visibility for a defined observation and review programme. Choose AI Citations when the priority is the source information behind the answer. The GEO and AEO guide explains how those tasks connect.

A useful next report should show what was checked, what changed and which business questions remain unanswered. It should be possible to inspect the evidence behind every headline.

Sources & further reading

Primary references checked on 6 September 2026.

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