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Generative engine optimization (GEO)
Custom generative engine optimization (GEO) agent for AI search
We build a GEO agent around your brand, your category and the prompts your buyers actually ask, so AI answers name you instead of your competitors, and you can prove it with per-engine citation tracking.
Capabilities
What your custom GEO agent does
Built around your brand, category and the engines your buyers use, it runs the full audit, fix and track loop. When it needs your CMS, CRM or product data, we connect those through our AI integration service.
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Audits your AI visibility
Asks ChatGPT, Google AI Overviews, Perplexity, Gemini and Copilot the real questions your buyers ask, and records when your brand is mentioned, cited or recommended.
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Maps your share of voice
Measures how often each engine names you versus your competitors, and which third-party sources it pulls the answer from.
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Optimises your entity and knowledge graph
Aligns your Wikipedia, Wikidata, Google knowledge panel and on-site entity data so engines can identify and trust who you are.
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Hardens your structured data
Cleans up Organization, Product, FAQ and Article schema so engines can read your facts and reuse them with confidence.
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Writes citation-worthy content
Builds answer-first pages, comparison tables and buying guides in the formats generative engines quote, backed by statistics and sources.
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Wins featured snippets and People Also Ask
Structures pages to win the featured snippets, People Also Ask and answer boxes that Google AI Overviews and other engines pull from.
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Earns trusted third-party citations
Improves your presence on the review sites, listicles and industry sources the engines actually cite, with consistent entity data across the web.
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Prioritises fixes by impact
Ranks every gap by how much it should move your visibility, so the work starts where the return is largest, not where it is easiest.
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Tracks and reports citation share
Re-runs the prompts on a schedule, because AI answers change, and reports whether your mention and citation share is climbing per engine.
GEO, AEO and AI SEO
What is generative engine optimization?
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GEO
Generative engine optimization: getting cited and recommended inside AI-generated answers, across every major engine.
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AEO
Answer engine optimization: the same goal framed around direct answers and featured-snippet style responses. In practice GEO and AEO overlap heavily.
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AI SEO and LLM SEO
The umbrella terms for optimising your visibility for large language models and AI search, rather than for the ten blue links.
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How it differs from SEO
SEO ranks a page you own. GEO influences an answer the engine writes, so entity trust and third-party citations matter as much as your own site.
GEO stack
Where your custom GEO agent works across your AI footprint
AI answers are assembled from far more than your website. The agent works across every surface an engine reads before it names a brand, then measures the result where it matters, inside the answers themselves.
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Your site, content and schema
On-page content, structured data and the answer-first pages and comparisons the engines quote when they build a response.
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Your entity and knowledge graph
Wikipedia, Wikidata, Google knowledge panel and consistent name, category and description signals so engines know exactly who you are.
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Third-party and cited sources
The review sites, listicles, directories and digital PR the engines pull citations from when they answer a category question.
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The AI answer engines
ChatGPT, Google AI Overviews, Perplexity, Gemini and Copilot, queried on a schedule so your citation share is measured, not guessed.
Why Makeitfuture
Why build your GEO agent with Makeitfuture?
Makeitfuture was recognised as Make.com AI Partner of the Year, so your GEO agent is built by a team trusted for production AI automation. The lever is real too: a peer-reviewed study from Princeton, Georgia Tech and the Allen Institute found GEO tactics can lift visibility in generated answers by up to 40%.
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500+
Clients
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15000+
Automations
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7+
Years of experience
Use cases
Where a GEO agent earns its keep
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AI visibility audit and share-of-voice baseline
Measure how often each engine names you for the prompts that matter, and set the baseline you improve against.
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Entity and knowledge-graph optimization
Fix the Wikipedia, Wikidata, schema and entity signals that decide whether an engine can identify and trust your brand.
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Answer engine optimization content
Publish answer-first pages, comparisons and buying guides built to be quoted by LLMs, with the statistics and sources they favour.
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Third-party and digital-PR citations
Get named and reviewed on the sources the engines cite, so the answer points to you from places the model already trusts.
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Product and shopping visibility in AI
For ecommerce, harden product schema and feeds so your products surface in AI overviews and AI shopping, paired with our product enhancement agent.
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Continuous monitoring and competitor tracking
Watch your citation share, and your competitors', across every engine, and catch drops as the models update.
How it works
How your custom GEO agent earns citations, on a loop
GEO is never finished, because the models change and so do the sources they cite. The agent runs a continuous audit, fix and re-measure loop, and visibility is the metric.
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Audit and baseline
The agent queries ChatGPT, Google AI Overviews, Perplexity, Gemini and Copilot with your buyers' real prompts, then records your mention rate, citation rate and the sources each engine pulls from.
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Diagnose and prioritise
It finds the gaps: weak entity data, thin schema, missing comparison content, low presence on cited sources, and ranks the fixes by how much each should move your visibility.
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Implement the fixes
It updates structured data and entity signals, publishes citation-dense content, and seeds mentions on the third-party sources the engines already trust.
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Re-measure and iterate
It re-runs the prompts on a schedule, tracks the change in your citation share per engine, and loops on whatever is still being missed.
Why classic SEO no longer guarantees you are found
More buying research now starts inside AI answer engines, and most of those sessions end without a click. Ranking a blue link does not mean the model names you, and if it does not, you are invisible to that buyer.
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Buyers ask AI, not just Google
A growing share of research happens inside ChatGPT, Perplexity and Google AI Overviews instead of a page of links.
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Zero-click is the norm
Most AI sessions end with no website visit. The win is being the brand the answer recommends, not ranking a page nobody clicks.
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Ranking a link is not being cited
Keywords and backlinks rank pages. Getting quoted in a generated answer rewards entity trust, structured facts and citations from sources the engine believes.
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You cannot see your AI share of voice
Most brands have no idea how often engines mention them, or which third-party sources those answers are built from.
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AI answers change constantly
A model update or a new cited source can drop you from an answer overnight, so a one-off audit goes stale fast.
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Competitors are being named instead of you
When an engine recommends three brands for your category and you are not one of them, the buyer never learns you exist.
More agents
Explore the rest of the agent line-up
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Dynamic Pricing Agent
Price every product right, around the clock.
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Product Enhancement Agent
Product data enrichment at catalogue scale.
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Website Growth Agent
Maintain, improve and grow your site on autopilot.
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Quotation Agent
Automated quoting from any inbound request.
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AI SDR Agent
A custom AI SDR that books meetings, not spam.
How we keep it durable
White-hat GEO that stays credible and brand-safe
AI engines reward consistency and trust, and they punish manipulation once they catch it. We do not buy fake reviews, spin spam citations or invent claims about your brand. The work is durable: accurate facts, real third-party coverage and content that genuinely answers the question.
GEO also does not replace your classic search work. It compounds with it, which is why it pairs naturally with our website growth agent for technical SEO and CRO.
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Accurate, on-brand facts
Engines reward consistent, verifiable information. We align your claims across every surface rather than inflate them.
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No manipulation or fake signals
No fake reviews, no citation spam. Durable entity and content work that survives the next model update.
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Human review of published content
Every page and citation is reviewed by a person before it represents your brand in an AI answer.
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Transparent measurement
You see the prompts we test, the citations we win and the trend per engine. No black-box reporting.
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Built to work with your SEO
GEO complements classic search and CRO, so you gain AI visibility without losing your existing rankings.
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Privacy and access controls
We work inside your access rules and keep your data and accounts governed throughout.
Generative engine optimization FAQs
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What is generative engine optimization (GEO)?
Generative engine optimization (GEO) is the work of structuring your brand, content and data so AI answer engines cite and recommend you inside their generated answers. Instead of ranking a link in Google, GEO aims to make ChatGPT, Google AI Overviews, Perplexity and Gemini name your brand when they answer a question in your category.
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Is GEO the same as AEO, AI SEO and LLM SEO?
They overlap heavily and are often used interchangeably. GEO (generative engine optimization) and AEO (answer engine optimization) both aim to get you cited inside AI answers, while AI SEO and LLM SEO are broader umbrella terms for optimising visibility for AI search. We build one custom agent that covers all of it.
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How is GEO different from traditional SEO?
Traditional SEO ranks a page you own so a person can click it. GEO influences an answer the engine writes, which means entity trust, structured data and citations from sources the engine believes matter as much as your own content. The two are complementary, and the strongest results come from doing both.
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Do you build a custom GEO agent, or is it a monthly service?
We build a custom GEO agent around your brand, category and the engines your buyers use, rather than running a templated retainer. It is bespoke build work, part of our AI development practice, and once it is live it keeps auditing, fixing and re-measuring your AI visibility instead of stopping at a one-off report.
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Which AI engines do you optimise and track?
ChatGPT, Google AI Overviews, Perplexity, Gemini and Microsoft Copilot are the core set. We query each of them with the prompts your buyers actually use and track your mention and citation share per engine, so you can see exactly where you are gaining or losing ground.
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How do you measure AI visibility and citation share?
The agent runs a fixed set of buyer prompts against each engine on a schedule and records whether your brand is mentioned, cited or recommended, and which sources the answer was built from. That gives you a mention rate and citation share you can trend over time and compare against competitors.
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Does GEO actually work, or is it hype?
It is measurable. A peer-reviewed study from Princeton, Georgia Tech and the Allen Institute showed targeted GEO tactics, such as adding citations, quotes and statistics, lifted visibility in generated answers by up to 40%. AI referral traffic has also grown sharply, so both the audience and the lever are real.
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If AI answers are zero-click, why optimise for them?
Because the value is no longer only the click, it is being the brand the AI names and recommends. Most AI sessions end without a visit, but the buyers who do click through from an AI answer tend to arrive with high intent and convert well.
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Is GEO the same as geo-targeting by location?
No. People sometimes read "GEO" as geographic or location targeting. Here it means generative engine optimization, which is about visibility inside AI answers. If you also need location-based personalisation, that is separate work we can scope alongside it.
