Case study · Listed consumer goods company

Listed consumer goods company: AI clicks at 203% and overall conversions at 401% of June.

AI crawlers were blocked, company facts conflicted and structured data was missing. We fixed access and consistency first.

PROJECT-REPORTED · B2C CONSUMER GOODS · PUBLICLY LISTED · JUNE–NOVEMBER

For a publicly listed consumer goods company, AI crawler access was restricted, company information conflicted across the site and structured data was missing. From June to November, we opened access for AI crawlers, reconciled brand information and added structured data so AI systems could read one consistent description of the business. With June indexed to 100%, November reached 203% for AI clicks and 401% for overall conversion counts.

  • 203%

    AI clicks in November, relative to June (100%)

  • 401%

    overall conversions in November, relative to June (100%)

  • 3

    foundation fixes: crawler access, brand facts, structured data

  • 6 months

    June to November

  1. Before · June

    AI crawlers blocked

    Company facts conflicted and structured data was missing.

    100%

  2. During

    Three foundation fixes

    Crawler access, brand facts and structured data.

    3

  3. After · November

    Overall conversions

    AI clicks reached 203% of June.

    401%

What the numbers show

With June indexed to 100%, November reached 203% for AI clicks and 401% for overall conversions.

Consumer goods · AI clicks

AI clicks doubled

203%

AI clicks in November, June = 100%

June100%
November203%2.03×

Indexed comparison, June = 100%. Absolute counts and reporting year were not supplied.

AI clicks in November relative to June.

Where we started

AI crawler access was restricted, company information conflicted across the site, and structured data was missing.

What we changed

We ran 3 layers of work. They are the same layers we build for every client.

  1. The access layerOpened access for AI crawlers, which had been restricted.
  2. The brand-facts layerReconciled company information that conflicted across the site, so every page described the business the same way.
  3. The structured-data layerAdded the missing structured data, so AI systems could read a consistent, machine-readable description of the business.

What happened

Consumer goods · overall conversions

Overall conversions reached four times June

401%

overall conversions in November, June = 100%

June100%
November401%4.01×

Conversions cover the wider business, not an AI-only conversion rate.

Overall conversion counts in November relative to June.
Indexed comparison, June = 100%
MeasureJuneNovemberChange
AI clicks100%203%2.03×
Overall conversions100%401%4.01×

How we measured this, and how to read it

Instrument.

Project reporting, indexed to June = 100% for both AI clicks and overall conversion counts.

What is excluded.

Overall conversions cover the wider business. They are not an AI-only conversion rate, and the reporting year and absolute counts were not supplied.

The measurement setup behind every figure on this page

  • 100%

    June index used for both measures

  • 2

    measures: AI clicks and overall conversion counts

  • 6

    months, June to November

  • B2C

    publicly listed consumer goods company, anonymized

June is indexed to 100%; November reached 203% for AI clicks and 401% for overall conversion counts. Conversions cover the wider business, not an AI-only conversion rate. The reporting year and absolute counts were not supplied.

What “conversions” means here.

Overall conversions cover the wider business. They are not an AI-only conversion rate, and the reporting year and absolute counts were not supplied.

What these figures do not show.

They do not establish closed revenue, a guaranteed outcome or the contribution of any single tactic. AI platforms decide their own answers, and results vary by prompt, context and time.

Questions buyers ask us about this

How long until we see the first signal?

Technical changes such as crawler access and structured data can be picked up within weeks. Content and outside mentions take longer, because an engine has to find and read them first. We agree the review points before work begins.

How do you know a lead came from AI?

We look in three places: analytics, where assistants such as chatgpt.com and perplexity.ai appear as traffic sources; the inquiry form, where we ask how people found you; and the first call, where buyers often name the question they asked.

What exactly is the KPI?

Visibility on an agreed set of buyer questions: the share of AI answers to those questions that name your brand. The question set is agreed before the work starts and kept stable, because changing the questions moves the number without changing what the engines say.

Do you guarantee results?

No. AI platforms make their own decisions, and answers vary by prompt, context and time. We show your baseline first, keep the question set stable, document what we observe and review the numbers with you every month.

Will our results look like these?

Not necessarily. Each figure here comes from one project, with its own market, starting point, scope and measurement period. It shows what the work involved, not a forecast for your business.

AI VISIBILITY REVIEW

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