A buyer asks ChatGPT or an AI Overview who does what you do, a competitor is named, and you never see it. As a Dhaka-based company, we deliver generative engine optimization services that make that visible and change it: 50 prompts measured on four engines, five pages rewritten to be the cited answer, re-measured at day 30, for international companies, at a fixed price per step. Our search engine optimization (SEO) specialists and a content editor run every prompt three times before and after, so the number is measured, never estimated.
One exit at each step. No long-term commitment at any of them. We start with the 50 questions your buyers actually type into an AI engine. Each is run on four engines, three times; who is named, who is cited and who is absent goes into one sheet you keep, and the smallest change that would move your share, usually five pages and the entity data, is costed in your own numbers.
You get a written verdict — an audit first, answer-first content, entity and schema work, third-party presence, a full pilot, or nothing yet. If nothing justifies a build, you stop here and keep the audit.
Generative engine optimization services work on the five things that decide whether an AI engine cites one company and skips another: pages that answer the question directly with sourced numbers, an entity the engine can verify, presence on the sources it already trusts, pages it can crawl, and someone who measures the result.
Fifty buying questions agreed with you, run on four AI engines three times each, with every mention, citation and absence recorded: your citation share, your competitors’ and the sources used.
Pages rewritten so each heading asks the buyer’s question and the first paragraph answers it in 40–60 words with a statistic, a quotation or a named source.
Organization, Service and FAQ schema, consistent name and address data, About and author pages, and sameAs links to your profiles, so an engine can verify who is speaking.
Honest submissions to the directories, industry lists and communities the engines cite for your prompts, tracked to publication; the publisher decides, and no mention is bought or faked.
Robots rules, indexing, page speed and rendering checked for the pages in scope, because an engine cannot cite a page it cannot read; fixes listed or done in the pilot.
The same 50 prompts re-run at day 30 and monthly, with citation share, competitor share and the sources cited in one report, and optional monthly upkeep as engines change.
Answer engine optimization (AEO) is the older, narrower layer inside generative engine optimization (GEO): the featured snippet and the AI Overview, won by one direct answer. GEO adds ChatGPT, Perplexity, Gemini, entity checks and third-party sources. AEO is the first pass of every rewrite, in the same fixed steps and never sold separately, so you never need two vendors.
Every heading is the question a buyer types, so the engine can match the page to the prompt without guessing.
The first 40–60 words under each heading answer it outright, before any context, so the passage can be lifted whole.
Each answer carries a number, a quotation or a named source, so the engine has something it can check before citing it.
The questions people also ask, answered in the same form and marked up with FAQ schema, so snippets and AI answers can read them.
A generative engine optimization pilot measures your AI visibility, changes five pages and the entity data, then measures again: audit, rewrite, entity work, your sign-off and a day-30 re-run of the same 50 prompts. The example is a services company; every item traces to a prompt run, a page version or a re-measure, and yellow marks where a person signs.
Pilot log · 50-prompt set
What the step does · its result
Audit
Who is named, cited or absent, before any change.
Rewrite
Each page answers the buyer's question first.
Entity
So an engine can verify who is speaking.
Sign-off · a person signs
Nothing is published before you approve it.
Day 30
The same set, re-run on the same engines.
Click a step, or a number below, to switch the result
Managed Ops re-runs the same prompt set every month, so the number stays comparable.
Illustrative example. Click a step to see its result. Yellow marks where a person signs; nothing is reported before it is measured.
An AI visibility engagement runs in five steps, each ending in a written result you can stop on: a free call, a five-day AI visibility audit that quotes the pilot, a two-week pilot that rewrites five pages and re-measures at day 30, production in batches, then Managed Ops. Our generative engine optimization services are priced one step at a time.
An SEO specialist who owns the prompt set, audit and schema, a content editor who rewrites pages and sources every number, and a project manager who runs the weekly review.
The first GEO step depends on your gap; five questions show which fits. Never measured means the audit first; pages that describe but never answer, content; engines that cannot verify you, entity and schema; absence from the lists engines quote, third-party presence; all four partly in place, the full pilot. Drafts can come from a tested prompt system.
1. Has anyone checked what AI engines say about you?
2. Do your service pages answer buyer questions directly?
3. Are you on the directories and lists AI engines cite?
4. Is schema and entity data in place?
5. Who runs your SEO today?
Nobody has measured whether AI engines name you today, so nothing else can be prioritized: 50 buyer prompts on four engines, three runs each, and a written verdict on where you are cited, absent or beaten.
A first estimate; the audit confirms it.
How the verdict is decided
A generative engine optimization agency should show its price and its method before it asks for a retainer: our audit is priced on the cards above, and our method is written down, 50 prompts on four engines, three runs each. Personal data in analytics or author profiles stays under Article 28 of the General Data Protection Regulation (GDPR).
Outsourcing generative engine optimization is safe when honesty, access and approvals are in writing, because the real risk is a vendor who fakes presence and gets your domain flagged. As a Bangladesh-based company, we work in your CMS, publish nothing without your approval, never buy reviews or seed mentions, and leave at handover. Reviewed By Eicra.com team
Before you pay for generative engine optimization, you get evidence instead of promises: a written method, a five-day audit that gives you your own number, and a pilot re-measured on the same 50 prompts at day 30. Client case studies with figures are added here as clients give permission to name them.
Run on four AI engines, three times each, and recorded before you pay for any rewrite.
For the AI visibility audit, ending in a written verdict on where you are cited, absent or beaten.
The same 50 prompts are run again after the pilot, and the change is reported either way.
Our generative engine optimization services are priced per outcome, not per hour, and each price is on the price cards at the top: a five-day AI visibility audit of 50 buyer prompts across four AI engines with a written verdict, credited to the pilot; a pilot that rewrites five pages and re-measures at day 30; further batches; then Managed Ops.
Generative engine optimization is the work that makes an AI answer engine (Google’s AI Overviews, ChatGPT, Perplexity, Gemini) name and cite your company when someone asks a buying question: pages that answer questions directly with sourced numbers, clear entity information the engines can verify, presence on the third-party lists they draw from, and measurement of how often you are cited.
AI visibility is the result: how often your brand is named or cited in AI answers for a fixed set of prompts. Generative engine optimization is the work that raises it across ChatGPT, Perplexity, Gemini and AI Overviews. Answer engine optimization is the older, narrower version aimed at featured snippets and AI Overviews. One service, one measurement, three names.
With a fixed prompt set. We agree 50 buying questions your customers ask, run each on four AI engines three times, and record whether your company is named, cited with a link, or absent. That gives a citation share, for example 4 of 50. The same set is re-run at day 30 and monthly, so the number is comparable.
No. AI engines still learn from crawlable, well-structured, authoritative pages, so technical SEO and real content remain the base. GEO adds what the engines reward on top: direct answers with statistics and quotations, verifiable entity data, and presence on the sources they cite. If your site has crawl problems, the audit says so first.