How to Measure and Improve AI Search Visibility with GEO Optimisation

Search visibility is changing. Ranking in traditional search still matters, but people are increasingly using AI-powered search experiences to research topics, compare products and make decisions.

For SEO and content teams, this creates a new question: is your existing content visible when AI search engines answer questions relevant to your business?

This is where GEO optimisation, or Generative Engine Optimisation, comes in.

GEO optimisation is the practice of improving how answer engines understand, evaluate, include and cite a brand’s content. It focuses not just on rankings and clicks, but on whether your brand appears in relevant AI-generated answers, how it is represented and which pages are cited.

Rather than treating GEO as a one-off content project, teams should approach it as a measurable cycle: measure, diagnose, improve and retest.

Jasno supports this process through AI search visibility tracking, helping teams understand where they appear and where existing content can be improved.

GEO optimisation vs traditional SEO

GEO and SEO share many fundamentals.

Clear structure, useful information, topical relevance and trustworthy sources can benefit both traditional search performance and AI visibility.

The difference is primarily in what you measure.

Traditional SEO focuses heavily on rankings, impressions, clicks and conversions. GEO introduces additional measures, including:

Brand mentions
Inclusion in relevant answers
Recommendations and comparisons
AI search citations
URLs being cited
Competitor or alternative source visibility
Qualified AI traffic and conversions

GEO does not replace SEO. Instead, it expands how teams think about search visibility.

SEO asks: can people find our content in search results?

GEO also asks: does our brand appear when an AI engine answers a relevant question?

From AI mention to qualified action

Not every AI mention has equal value.

A useful way to think about AI search visibility is as a journey:

Absent → Mentioned → Included → Recommended → Cited → Qualified action

Being mentioned is a useful signal, but teams should look beyond simple visibility.

Is the brand described accurately? Is it associated with the right products, services or expertise? Is the website cited? Is the most relevant page being used? Does that visibility contribute to meaningful website engagement?

Importantly, an AI answer does not always generate a click. Users may get the information they need directly from the answer.

That means GEO measurement should combine mentions and citations with accuracy, positioning, share of relevant answers and downstream engagement.

For more on this, explore how to build citation authority in AI answers and how AI search engines decide which sources to cite.

A five-step GEO optimisation cycle

A practical GEO strategy can be organised into five steps.

1. Establish a baseline

Start by understanding your current visibility.

Identify commercially important topics, products and customer problems. Then record how your brand appears for relevant prompts across the AI search engines your audience uses.

Look at mentions, answer inclusion, citations, cited URLs and which alternative sources appear.

This creates a baseline for measuring future improvements.

2. Build a representative prompt set

Avoid judging performance from a handful of generic questions.

Build prompts around your priority topics, audiences, customer problems, use cases and buying stages.

Include informational questions alongside comparison, commercial and brand-specific prompts.

This provides a much broader picture of where your existing content is, and is not, appearing.

3. Diagnose the gaps

Next, look for patterns.

Perhaps your brand appears for broad educational questions but disappears from commercial comparisons. Maybe an AI answer cites another publisher when you already have a relevant page.

These are opportunities for investigation.

Jasno connects visibility findings with content optimisation for AI search, helping teams turn gaps into practical content recommendations.

4. Improve priority content

Prioritise improvements based on commercial importance, current visibility and content quality.

For example, you might:

Clarify an unclear product or service definition
Improve an existing comparison page
Add stronger evidence to important claims
Answer an important customer question more directly
Improve page structure so key information is easier to understand

GEO optimisation should not become keyword stuffing or formulaic writing. The goal is to make existing content clearer, more useful, relevant and well supported.

5. Retest and measure

After improving content, retest the relevant prompts.

Have mentions changed? Are you appearing in more answers? Is a better URL being cited? Has your positioning improved?

Use AI visibility performance tracking to monitor changes over time.

Then repeat the cycle:

Measure → Diagnose → Improve → Retest.

How to measure GEO across AI search engines

Visibility can differ across ChatGPT, Perplexity, Gemini and Google AI Overviews.

Useful metrics include:

Metric	What to measure
Mention rate	How often your brand appears
Answer inclusion	Whether you feature meaningfully in answers
Citations	Whether your website is cited
Cited URLs	Which pages are being surfaced
Positioning	How your brand is represented
Competitive visibility	Which alternatives appear instead
Change over time	Whether performance is improving

AI-generated answers can fluctuate because of prompt wording, personalisation, model updates, source retrieval and changing web content.

For that reason, one AI response should never be treated as definitive evidence.

Use consistent prompt sets, repeat observations and compare results at platform level over time.

How to build a useful prompt set

Organise your prompts around five areas:

Topic: What do you want your business to be associated with?

Audience: Who is asking?

Problem: What are they trying to solve?

Use case: What do they want to achieve?

Buying stage: Are they researching, comparing or ready to choose?

For each prompt, record the exact wording, AI engine, date, market and relevant URLs.

Your prompt set should also evolve. Search data, customer conversations and sales feedback can uncover new questions worth tracking.

GEO optimisation FAQs

Does GEO replace SEO?

No. GEO complements traditional SEO. Both benefit from useful, relevant and trustworthy content, but GEO adds measurement around AI-generated answers, mentions and citations.

How long do GEO improvements take?

There is no guaranteed timeframe. AI search experiences change frequently, so measure from a baseline and retest rather than expecting immediate results.

Which AI search engines should I track?

Track the platforms relevant to your audience. This may include ChatGPT, Perplexity, Gemini and Google AI Overviews.

Are citations more important than mentions?

They measure different things. Mentions indicate brand visibility, while citations show which sources or pages are being surfaced. A useful GEO report should monitor both.

How often should prompts be retested?

Retest regularly and after significant content changes. Look for patterns across repeated observations rather than reacting to individual answers.

Turn GEO insights into a repeatable growth process

Sustainable GEO optimisation is not about chasing individual AI citations.

It is about understanding where your existing content appears, identifying meaningful gaps and continuously improving the pages that matter most.

No platform can guarantee that an AI search engine will mention or cite a particular brand. But a measurement-led approach gives SEO and content teams a clearer way to decide what to improve and assess whether those changes are making a difference.

Jasno helps teams track AI search visibility, diagnose gaps, prioritise content improvements and measure progress over time.

Book a Jasno demo to see how your team can measure AI search visibility, prioritise GEO improvements and track progress across answer engines.