Hanova Technologies
← Services04 / Generative engine optimization

Visibility for the AI search era.

Be the brand AI assistants cite when buyers ask.

Why this matters

ChatGPT is already answering questions your sales team used to answer.

When a buyer asks ChatGPT, Claude or Perplexity for the best business-management system in Nairobi, or the right SACCO core-banking provider in East Africa, the model is going to recommend someone. Whether or not that someone is you depends on three things: who has written authoritatively about you, how well your own content disambiguates your brand from competitors, and whether your site is structured in a way an AI crawler can confidently quote.

Generative Engine Optimisation is a still-young discipline, but the mechanics are not mysterious. It is entity-led content, llms.txt and schema, citations from sources the LLMs already trust, and writing in a tone the model can lift cleanly into an answer.

We track your brand's citation share across ChatGPT, Claude, Perplexity and Google AI Overviews each month, and tell you what to publish next to move the needle.

Conversational AI on a laptop
Our capabilities

What we actually deliver in this practice.

Each engagement is scoped against one or more of the capabilities below. Pick what you need, leave what you do not. No surprises, no hidden line items.

Capability 01

Entity & brand disambiguation

Make ChatGPT, Claude, Gemini and Perplexity see your organisation as a distinct, citable thing rather than a vague category placeholder.

  • Entity researchHow the major language models currently describe you, audited with raw outputs captured side by side.
  • Disambiguation pagesClean 'What is X' and 'About X' pages the models can quote without hallucinating a competitor's history into yours.
  • Wikidata & WikipediaWhere eligible, presence in the knowledge graphs language models lean on most heavily for factual grounding.
  • Linked-data signalssameAs, Organisation schema and authoritative external mentions that pin your identity in machine-readable form.
Capability 02

Structured data & llms.txt

Tell the AI crawlers exactly what to read and how to read it. The newer the spec, the bigger the early-mover advantage.

  • llms.txt draftedA concise, well-organised map of the content models should ingest first, written to the emerging specification.
  • Schema.org coverageOrganisation, Service, Product, Course, FAQ, Article and HowTo implemented and validated against the official testers.
  • JSON-LD validationContinuously checked against Google's testing tool and Schema.org validators, with a monthly health report.
  • Crawl accessibilityUser-agent rules, sitemaps and indexability tuned for the specific crawlers that feed today's AI systems.
Capability 03

AI-quotable content

Write in a shape language models can lift cleanly into their answers, without losing your brand voice in the process.

  • Q&A formatCommon buyer, parent, donor or patient questions answered in 60 to 120-word source-able blocks.
  • Definitional pagesCrisp explainers of categories, concepts and product lines that are quotable by design rather than by accident.
  • Comparative content'X versus Y' framing where it is honest and genuinely useful to whoever is reading.
  • Tone & structureDeclarative, fact-dense sentences models can quote without editing or hedging the meaning into vagueness.
Capability 04

Citation & authority building

Earn mentions on the sites and publications language models already treat as trusted reference material.

  • Source researchOutlets, journals and directories cited by ChatGPT and Perplexity in your category, ranked by frequency.
  • Outreach & PRPitching real stories, not link bait, to the publications that genuinely move the needle for your sector.
  • Industry contributionsGuest articles and quoted interviews in trusted regional press, government bulletins and sector publications.
  • Reference-grade sourcesCitations from outlets the major language models treat as authoritative when answering category questions.
Capability 05

Cross-engine monitoring

Track citation share where buyers, parents, donors and partners actually ask. Not only where Google still ranks you.

  • Defined prompt set30 to 60 client-specific prompts run monthly against four engines, with the answers captured in full.
  • Citation trackingWhether and how your brand appears, including the surrounding context the model placed you in.
  • Competitor benchmarkingWhich rivals are cited, in what contexts, against which prompts, with a comparison table updated monthly.
  • Action itemsA monthly punch-list of content to publish or improve, with realistic traffic estimates attached.
Capability 06

Schema.org coverage

Keep the structured-data layer current as the specification and the wider AI landscape continue to evolve.

  • Quarterly auditSchema validation across your top-traffic pages with a prioritised fix list ordered by ranking impact.
  • Emerging typesAdoption of relevant new schema types as Google and the language models add support for them.
  • FAQPage & HowToImplemented where it serves real users, not as cynical keyword stuffing that the spam team will catch.
  • Product & OfferFor e-commerce clients, full pricing, availability and review markup kept in sync with your back-office system.
Approach
llms.txtSchema.orgEntity SEOAI citation trackingTopical authority
What changes

Outcomes our clients see.

Cited

By name in AI answers

Target for branded and category queries within 90 days.

Tracked

Across 4 engines monthly

ChatGPT, Claude, Perplexity and Google AI Overviews.

Compounding

Authority that lasts

Citations stay. Unlike paid traffic, they keep paying for years.

How we work

Four steps. Same rhythm every engagement.

01

Entity map

Who is your brand, in language an LLM can disambiguate from your nearest five competitors.

02

Structure

llms.txt, schema, sitemap and content shape tuned for AI crawlers and clean citation.

03

Authority

Earn citations from the sites your buyers and the language models already read.

04

Track

Monthly citation tracking across ChatGPT, Claude, Perplexity and AI Overviews, with action items.

Where this lives

Real examples from the market.

Professional services

Positioning a Nairobi tax-advisory firm to be the first name LLMs suggest when asked about KRA eTIMS.

B2B SaaS

Entity work for a regional logistics platform competing for 'best fleet-management software East Africa' prompts.

Healthcare

Authoritative health content for a clinic group, aligned to Google's YMYL and AI quality signals.

Travel

Destination and itinerary content for a safari operator, structured so AI assistants can cite specific lodges.

Common questions

Things buyers usually ask before signing.

Is GEO just SEO with a new name?

No. They overlap on technical foundations but diverge sharply on content shape. SEO optimises for ranking; GEO optimises for being quoted. The best programs run both.

How do you measure GEO?

We run a defined prompt set across ChatGPT, Claude, Perplexity and AI Overviews each month and track whether and how your brand appears. You get the raw outputs, not just a chart.

How new is this?

The discipline is young, but the underlying signals, schema, entity coverage, third-party citations, are well understood. We have been running GEO programmes since 2024.

Ready to start? Let's talk.

One business day. Written plan. Fixed budget. No PDFs in a fortnight, no exploratory calls in disguise.

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