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GEO & AI search

Be relevant when
customers ask AI.

Build a stronger presence in AI-assisted discovery with useful content, consistent brand information and a measurable operating process.

The opportunity

A growth discipline built around customer decisions.

Generative engine optimization brings together the information a customer needs and the evidence an AI search system may use. Our work starts with your commercial priorities, then connects research, website improvements, content and measurement.

Build my AI growth plan
What you receive

Work your team can use.

The signed scope defines the allowance, format, approval responsibilities and timing.

01

Intent and opportunity

Organize questions by buyer, decision stage, market and business value. Separate category discovery from branded demand.

02

Website foundations

Review crawlability, internal links, accessible page content, canonical URLs and the consistency of visible facts.

03

Answer-ready content

Develop product explanations, comparisons and buying guides that help a reader make a specific decision.

04

Continuous learning

Review mentions, citations, recommendation context and available inquiry signals to determine the next actions.

How it works

A clear path
from intent to action.

A coordinated process keeps the work grounded in your business and makes the next decision easier.

01

Find the relevant questions

Select a defensible question set, including qualified buying questions and the objections sales teams repeatedly hear.

02

Strengthen the evidence

Bring approved product facts and subject-matter expertise into pages that readers can understand and verify.

03

Measure and improve

Repeat observations under recorded conditions and connect changes to specific work, without assuming causation.

Before you start

Useful questions.
Clear answers.

Does GEO replace SEO?

No. Technical accessibility, helpful content and credible sources remain important. GEO adds a structured view of AI-mediated discovery and the questions customers ask.

Which platforms are included?

The proposal specifies the platforms and interfaces appropriate to your market. Potential coverage includes ChatGPT, Gemini, Perplexity, Google AI search and Microsoft Copilot, subject to availability and permitted access.

Can you guarantee AI recommendations?

No. Platforms control their answers. We agree on deliverables, measurement conditions and reporting, and clearly separate observed visibility from business results.

Decision summary

GEO services help your business provide clearer, more verifiable information during AI-assisted buying research. The work can involve website access, accurate brand facts, decision-focused content, relevant external sources and repeated observations under agreed conditions. The right mix depends on the problem: publishing more content will not repair a blocked product page or contradictory availability information. TANTU AI connects these activities to one commercial priority and a shared delivery backlog, so your team can see what each task is intended to improve and how completion will be checked.

Route the finding to the right workstream

Start with one important buyer question and inspect the evidence before choosing a deliverable. If the relevant page cannot be accessed, investigate the technical obstacle. If accessible pages disagree about the offer, resolve the approved facts. If the facts are consistent but do not help the reader choose, improve the decision content. If a claim needs independent corroboration, assess the evidence already available and the suitability of external sources.

This order is a working method, not proof of what made an AI system select an answer. Several gaps can coexist. For an illustrative software vendor, an integration guide may be accessible but omit required product editions. Correcting that omission helps the buyer evaluate compatibility; a broad thought-leadership article may not address the immediate problem. The resulting brief identifies the question, affected page, missing evidence and person who can approve the correction.

Spend the allowance on the constraint that matters

Before adding a task to the monthly backlog, ask whether it removes an important buying obstacle, whether the required evidence is ready and whether someone can implement it. A promising topic with no approved product information may need an evidence-gathering step first. A ready page correction can sometimes be completed sooner and produce a clearer learning opportunity.

The review should show what was selected, what was deferred and why. Acceptance evidence may be a corrected live page, a tested inquiry route, an approved comparison or a documented source review. Later observations assess representation separately. If the sampled answers change, retain alternative explanations such as different sources, conditions or demand. This keeps the program focused on useful work while preserving uncertainty about platform behavior. Additional markets and languages compete for the agreed capacity unless the scope is expanded.

Make the next step a useful one.

Tell us about your business and the market you want to grow.

Build my AI growth plan