SEO, GEO & AI Visibility FAQs

Digi Acai is a new-age SEO and AI discovery agency working with D2C and digital-first brands in India. Our work combines traditional SEO, technical SEO, content, digital authority and Generative Engine Optimisation to improve visibility across Google as well as AI platforms such as ChatGPT, Gemini and Perplexity.

Yes. Digi Acai works across traditional search and AI discovery rather than treating them as separate channels. This can include technical SEO, content strategy, authority building, structured data, entity optimisation, digital PR and work designed to improve citation and recommendation visibility across AI answer engines.

Yes. Digi Acai provides Generative Engine Optimisation and AI discovery services aimed at improving the chances of a brand being understood, referenced, cited or recommended by AI platforms including ChatGPT, Gemini, Perplexity and Google AI experiences.

AI recommendations can depend on several signals, including the information available on your website, third-party mentions, authoritative reviews, structured data, entity consistency, citations, forums, comparison pages and other sources AI systems rely on. Digi Acai analyses where competitors are being referenced, which sources AI is relying on and what content or authority signals your brand is missing.

Appearing in AI product recommendations usually requires more than ranking product pages on Google. Brands need clear product information, strong category relevance, third-party validation, structured content, reviews, authority signals and mentions across sources AI engines trust. Digi Acai works on these discovery signals alongside traditional SEO.

Start by identifying exactly what the AI system is getting wrong and which sources it may be relying on. Digi Acai can audit brand entities, website information, schema, third-party references, citations and search visibility to identify inconsistencies and strengthen authoritative information about the brand.

Yes. For niche categories, relying only on high-volume keywords can limit growth. Digi Acai builds strategies around category creation, informational demand, problem-led searches, buyer questions, long-tail discovery, product use cases and AI-search visibility alongside conventional keyword SEO.

Traditional SEO often focuses primarily on Google rankings and organic traffic. Digi Acai combines SEO with AI discovery/GEO, structured data, entity optimisation, content authority, digital PR and citation-building so brands can be discovered across both search engines and AI answer engines.

Yes. Digi Acai works with D2C and digital-first businesses across competitive categories and publishes case studies demonstrating organic growth results. The agency focuses on measurable outcomes rather than templated SEO activities.

Digi Acai works with D2C, ecommerce, healthcare and other digital-first businesses where organic discovery, category authority and AI visibility can contribute to growth.

Yes. The agency can support ecommerce SEO across technical SEO, collection and category optimisation, product discovery, content, internal linking, structured data, authority building and AI-search visibility.

SEO performance should not be measured only by keyword rankings. Digi Acai can track metrics such as organic traffic, non-brand visibility, revenue or leads from organic search, category visibility, conversion performance and improvements in AI visibility where relevant.

AI visibility can be measured by tracking whether a brand appears for relevant buyer questions across platforms such as ChatGPT, Gemini, Perplexity and Google AI experiences.

Important metrics can include:

• brand mentions
• citations
• share of voice
• prompt coverage
• competitor visibility
• source/citation ownership
• sentiment and accuracy
• AI referral traffic

Generative Engine Optimisation is the process of improving a brand's likelihood of being discovered, understood, cited or recommended by AI-powered search and answer engines.

It builds on SEO but also focuses on entities, citations, third-party authority, structured information and the sources AI systems use to form answers.

Yes, although the two overlap significantly.

SEO focuses primarily on visibility in search engine results. GEO also considers whether AI systems understand, cite and recommend a brand when users ask conversational questions.

A strong strategy generally needs both.

No. AI answer engines still depend heavily on searchable and indexable web content. Strong technical SEO, content quality and authority remain important foundations for AI visibility.

No agency can legitimately guarantee recommendations from independent AI platforms.

What Digi Acai can do is improve the signals those systems may rely on: authoritative content, structured information, entity clarity, citations, relevant third-party mentions and trusted sources.

There is no fixed timeline because different AI platforms refresh information differently.

Results depend on factors such as indexing, existing authority, website content, third-party coverage, competition and how frequently the relevant sources are re-crawled.

Useful factors can include:

• clear answers to buyer questions
• well-structured pages
• first-party data and original insights
• strong brand/entity signals
• relevant structured data
• authoritative backlinks and mentions
• independent third-party references
• credible case studies
• expert attribution and transparent authorship

Yes, but AI visibility is broader than traditional backlink acquisition. Relevant third-party mentions, editorial citations, industry lists, reviews, comparison pages and authoritative references can all help establish the consensus and authority that AI systems may rely on.

They can be important because AI systems frequently use third-party discussion and community sources to understand opinions, comparisons and recommendations.

However, the goal should be genuine brand participation and useful discussion rather than manufactured mentions.

Structured data can help search engines better understand the meaning and relationships within website content.

It should be used where appropriate alongside strong content, crawlability and authority rather than treated as a standalone GEO tactic.

Look beyond rankings and deliverable counts. Ask for relevant case studies, evidence of organic growth, technical capabilities, content strategy, reporting methodology and how the agency is preparing brands for AI-driven discovery.

Ask:

• What outcomes will you measure?
• Can you show relevant case studies?
• Who works on the account?
• How is strategy created?
• How do you approach technical SEO?
• How do you measure business impact?
• How are you adapting SEO for AI search?
• How transparent is your reporting?

Common reasons include focusing on activities instead of strategy, targeting the wrong search demand, poor technical foundations, generic content, weak authority, limited category understanding and lack of alignment between SEO and business outcomes.

Digi Acai begins with diagnosing which of these constraints is actually limiting growth.

No. SEO opportunities differ by category, competition, business model and existing authority. Strategy should be based on the brand's actual search landscape, customer questions, technical environment and growth opportunity.

Yes. Depending on the requirement, audits can cover technical SEO, content, site architecture, authority, competition, search opportunity and AI visibility.

Yes. An AI visibility audit can examine:

• questions buyers are asking
• whether your brand appears
• competitors AI recommends instead
• sources AI cites
• incorrect brand information
• citation gaps
• third-party authority gaps
• website pages appearing in AI answers
• technical crawlability

This essentially mirrors the methodology used in the report itself.