GEO & AI search· 9 min read

8 Concrete Tips to Improve Your GEO Score in ChatGPT and Claude

The GEO Score weighs mention rate (50%), sentiment and model coverage. Eight tips to get cited more often in ChatGPT, Claude, Gemini and Perplexity.

A green performance score meter with a rising arrow toward 100

Summary

  • The Veesie GEO Score weighs four factors: mention rate (50%), sentiment (25%), model coverage (15%) and mention position (10%).
  • The fastest gains sit in content structure: H2 headings, lists and concrete numbers get cited more often by AI models.
  • Prompt discovery is crucial: you need to know which questions people ask in ChatGPT about your niche.
  • Authority in a narrow niche scores better in AI answers than a broad, generalist profile.

Your GEO Score in one line: a single number between 0 and 100 that measures how well your brand performs in AI answers from ChatGPT, Claude, Gemini and Perplexity. A low score means you are invisible in the fastest-growing information channel of the moment. Here are the eight most effective ways to lift that score, plus the common mistakes you are better off avoiding. New to the topic? Start with What is GEO?, and for how to measure your score precisely, read the KPI guide to AI visibility.

How is the GEO Score built up?

Before you optimize, it helps to know what you are being scored on. The Veesie GEO Score weighs four factors:

  • Mention rate (50%): in what percentage of the relevant AI answers are you named at all? This is by far the heaviest factor.
  • Sentiment (25%): are you described positively, neutrally or negatively?
  • Model coverage (15%): how many of the four AI models cite you?
  • Position in the answer (10%): do you appear up front in the answer or right at the end?

Because mention rate determines half the score, the biggest lever sits in getting named more often. The eight tips below are ordered on that logic: first the changes with the biggest impact on your AI visibility. If you want the broader framework first, read the difference between GEO and SEO.

#TipAffects GEO ScoreApproach
1Start with prompt discoveryMention rateOne-off + ongoing tracking
2Write citation-worthy answersMention rate + positionPer article
3Add structure with headings and listsMention rate + positionPer article
4Back claims with concrete numbersMention rate + sentimentPer article
5Build authority in a narrow nicheMention rate + model coverageLong term
6Optimize for multiple languagesModel coveragePer language
7Earn external mentionsMention rate + model coverageOngoing
8Measure weekly and adjustAll factorsOngoing
#1
TipStart with prompt discovery
Affects GEO ScoreMention rate
ApproachOne-off + ongoing tracking
#2
TipWrite citation-worthy answers
Affects GEO ScoreMention rate + position
ApproachPer article
#3
TipAdd structure with headings and lists
Affects GEO ScoreMention rate + position
ApproachPer article
#4
TipBack claims with concrete numbers
Affects GEO ScoreMention rate + sentiment
ApproachPer article
#5
TipBuild authority in a narrow niche
Affects GEO ScoreMention rate + model coverage
ApproachLong term
#6
TipOptimize for multiple languages
Affects GEO ScoreModel coverage
ApproachPer language
#7
TipEarn external mentions
Affects GEO ScoreMention rate + model coverage
ApproachOngoing
#8
TipMeasure weekly and adjust
Affects GEO ScoreAll factors
ApproachOngoing

1. Start with prompt discovery

Before you optimize anything, you need to know which questions people ask AI chatbots about your niche. This is called prompt discovery: systematically mapping the search queries that are relevant to your brand.

Ask yourself three questions:

  • Which problems does my product solve?
  • Which comparison questions do prospects ask? ("Which is better: X or Y?")
  • Which recommendation questions exist in my sector? ("Which company is best for Z?")

Veesie provides ready-made prompt templates per sector as a starting point for marketers and agencies who want to know which questions their audience asks across ChatGPT, Claude, Gemini and Perplexity. Add your own prompts here too, specific to your market. The sharper your prompt set, the more reliable your measurement: you then test exactly the questions you want to be found for.

2. Write definitive, citation-worthy answers

AI models cite content that answers a question fully, not content that dances around it. The principle is simple: write the answer first, then build the context around it.

Weak: "There are several factors to consider when choosing an accountant..." Strong: "A good accountant for small businesses combines knowledge of company law, VAT rules and digital bookkeeping tools. The three most important criteria are..."

The second version is directly quotable. The first is not. A handy self-test: copy one sentence from your text and read it on its own, without context. Does it still hold up and is it informative? Then it is citable. If it needs the sentences around it, rewrite it. Also make sure your AI readiness is in order: content that AI crawlers cannot reach cannot be cited, however well it is written.

3. Add structure with headings and lists

AI models process structured content better than long blocks of unbroken text. Use systematically:

  • H2 headings for main sections (one concept per section at most)
  • Numbered lists for steps or rankings
  • Bullet points for features or benefits
  • Tables for comparisons

An article with clear headings gives an AI model direct footholds to extract and cite a relevant passage. Long paragraphs without structure are rarely quoted verbatim. On top of that, phrase your H2 headings as the question your audience asks: that way your heading matches the prompt directly. Use the GEO audit checklist to confirm your structure is also loaded correctly, in technical terms, by AI crawlers.

4. Back claims with concrete numbers

Vague assertions are barely cited. Concrete, verifiable numbers are. Compare:

  • Vague: "AI searches are becoming more popular."
  • Concrete: "Roughly 60% of searches end without a click on a result (Bain, 2025)."

Where possible, add: statistics with a source citation, benchmark data, percentages and dates. This raises not only the citation value but also the credibility of your content in general. A number with a clear source is a safe building block for an AI model, because the model can anchor the claim.

5. Build authority in a narrow niche

AI models prefer to cite the recognized expert in a defined niche over a generalist who writes about everything. An accountancy firm that specializes in hospitality businesses scores better, in GEO terms, for questions about "hospitality bookkeeping" than a general firm that happens to have a few hospitality clients.

Define your niche as sharply as possible. Publish in-depth content about that specific submarket. Use the same terminology as your audience, consistently. That is how you build the entity authority AI models need to recognize you as "the expert". One thorough article about your core topic does more for your GEO Score than ten shallow pieces on scattered themes.

6. Optimize for multiple languages

If your business serves customers across more than one language, questions get asked in each of those languages. An AI model answering a French-language question draws first and foremost on French-language sources. Content in another language does not help you for that question.

Translate your core pages and most-read blog articles into the languages your audience actually uses. This grows your model coverage: the share of AI models that cite your brand, regardless of the language of the question.

Veesie measures the AI visibility of your brand per language across ChatGPT, Claude, Gemini and Perplexity for marketers and agencies: you see at once which language you perform best in and where the gaps are. For any brand operating in more than one language, that is not a detail but a core factor in your AI visibility.

7. Earn external mentions

AI models train on a broad corpus of text, including press articles, industry news, Wikipedia, reviews and trade publications. The more external, independent sources mention your brand, the greater the chance an AI model recognizes you as a relevant entity.

Concrete actions:

  • Send press releases at milestones (new product, growth, awards)
  • Ask for inclusion in industry associations and sector directories
  • Respond to expert requests in trade media
  • Make sure your Google Business Profile is complete and up to date
  • Collect reviews on authoritative platforms in your sector

This is the GEO equivalent of link building: not collecting links, but citations and mentions in trustworthy sources. Review platforms carry extra weight, because AI models often consult them for recommendation questions.

8. Measure weekly and adjust

GEO optimization without measurement is steering in the dark. AI answers change: models get updated, training data evolves, the competition optimizes too. What works today may look different next month.

So track four signals weekly: your GEO Score per AI model, your mention rate, how sentiment evolves, and how you stack up against your competitors. Based on that trend, you adjust your content, your prompt set and your priorities. A tool like Veesie automates that measurement, but the principle stands apart from the tool: GEO is not a one-off effort but an ongoing process, just like SEO. The full KPI method is in the guide to measuring AI visibility. How your sector compares to the average is shown in the GEO benchmark by sector.

What does a higher GEO Score deliver?

A higher GEO Score is not a vanity number, it translates into commercial visibility. Get cited more often and more positively in AI answers, and you appear at the moment a prospect asks for a recommendation, before they even visit a website. That is early in the decision, where the choice is often already made.

Concretely, you see three effects as your score rises: you appear in more of the relevant prompts (higher mention rate), you get named by more models (broader model coverage), and you stand up front in the answer more often. The GEO Score monitoring from Veesie makes those movements visible for marketers and agencies across ChatGPT, Claude, Gemini and Perplexity, so you know which optimization works and which does not. That way you back every choice with numbers.

Common mistakes in GEO optimization

Three misconceptions cost brands needless GEO ground: thinking a good Google ranking is enough, that more content is always better, and that GEO only matters for big brands. None of the three is true, and together they explain why many optimizations have no effect. They are worked out in full, each with research attached, in 8 GEO myths marketers still believe.

Summary: the fastest gains

Want quick results? Then focus first on points 2, 3 and 4: better content structure and a more concrete writing style. These are changes you can make within a day on existing pages, and whose impact on your GEO Score shows up in your measurements after a few weeks.

Point 1 (prompt discovery) and point 8 (weekly measurement) are the foundation everything rests on. Without knowing which questions get asked and how you evolve, the other tips are blind spots.

Create a free Veesie account and set your baseline today. Or take a look at the pricing and features first.

GEO ScoreChatGPTAI contentAI visibilitygenerative engine optimizationoptimization

Frequently asked questions

Sources and references

  1. Bain & Company: Goodbye clicks, hello AI, zero-click search redefines marketing (2025)
  2. Aggarwal et al.: GEO, Generative Engine Optimization (Princeton & Georgia Tech, KDD 2024)
  3. Pew Research Center: Google users are less likely to click on links when an AI summary appears (2025)
  4. TechCrunch: Google's AI Overviews have 2B monthly users (2025)
  5. Ahrefs: AI Overviews reduce clicks (2025)

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