fireflyo

The AEO agency with a zero-fluff policy

This is not a marketing agency.
It's forward-deployed engineering for AI visibility.

Buyers ask AI who to pick, and three names win. Getting in is an engineering problem - not a content problem. We treat it like one.

Read the research

The sweep runs before you pay us anything.

"best X for Y?"100s of buyer questionsAI ENGINES×7ANSWER01 ───────02 ───────03 your brandAGENT STACKsweep agentcontent agentsite monitorcitation agentONE SWEEP named · ○ absentFDEoperatesYOUR ORGyour engclouddatalogsyour agents

What agencies sell

What we ship

A 40-page strategy deck.
A readout of every answer in your category. Week one.
"Publish more content."
The questions you lose, and to whom. Then the fix.
Listicle placements.
Last study, the fix was a review profile. Not another page.
Rank screenshots in a monthly PDF.
Share of answer, diffed every run, against a control group.
An account manager who "circles back".
An engineer in your Slack who ships.

The protocol

  1. 00 Sweep

    Every buyer question, on every engine, asked twice.

  2. 01 Diagnose

    Are you unknown - or known but never recommended?

  3. 02 Execute

    We ship the fixes ourselves, starting week one.

  4. 03 Re-measure

    Same questions vs a control group. Honest diff.

Who you actually get

An FDE.
Not an account manager.

A forward-deployed engineer - one of the people who built our measurement platform - embedded with your team. They read the sweeps, ship the fixes, and answer for the diff.

Custom integrations

Wired into your CMS, repo, analytics and CRM - not a portal beside them.

Agent context

llms.txt, structured data and MCP endpoints, so AI agents get your context right.

Content, HITL

Agents draft at scale; a human approves every word that ships. Never auto-published.

Adoption loops

Fixes land in your team's workflow - PRs, tickets, CMS drafts - so they ship, not shelve.

Validation loops

Every fix re-swept against a control group. What didn't move gets rolled back.

The discipline is borrowed from quantitative finance: define the universe, measure the signal, execute systematically, attribute honestly. Backed by data, research and scale - not conviction.

Receipts

We've already run your category through the engines.

The challengers we analysed, the incumbents engines name instead. Analysed - not clients.

Graph analytics & data infrastructure

"graph queries on my data warehouse"

Engines name instead

  • Neo4j
  • TigerGraph
  • ArangoDB
  • Amazon Neptune
  • NebulaGraph
  • JanusGraph

Digital-asset & payment infrastructure

"regulated crypto infrastructure for banks in MENA"

Engines name instead

  • Fireblocks
  • Circle
  • Copper
  • Zodia Custody
  • BitOasis
  • Rain

Immersive & AI marketing tech

"app-less AR campaign platform for brand marketing"

Engines name instead

  • 8th Wall
  • Zappar
  • Blippar
  • Aryel
  • Poplar Studio
  • Rock Paper Reality

Pricing

Priced like the work, not like a retainer ritual.

Three months of heavy lift, then the price drops to match the work. Both tiers staff an FDE - never an account manager.

Starter

Growth companies

Jumpstart · mo 1–3

$3,000/mo

Retainer · mo 4 →

$2,000/mo

$3,000 per month for the first three months of jumpstart mode, then a $2,000 per month retainer from month four onward.

  • A forward-deployed engineer (FDE) embedded with your team
  • Full category sweep, re-run on a schedule
  • Fixes executed by us - on-domain and off-domain
  • Share of answer vs a control group, diffed every cycle

The audit comes first, free. Then decide.

Enterprise

Multi-brand · multi-market

Custom

For teams where AI answers already move revenue.

  • Dedicated FDE pod across brands and markets
  • All engines, custom question sets, competitor tracking
  • Quarterly research briefs for your category
  • Security review, MSA, procurement

Scoped proposal within a week.

FAQ

Asked before
every audit.

What is AEO (answer engine optimization)?
AEO — also called GEO, generative engine optimization, or AI SEO — is the practice of optimizing how AI answer engines like ChatGPT, Perplexity, Gemini, Claude and Copilot represent and recommend a brand. Instead of ranking on a results page, you compete to be one of the three to five names an engine puts in its synthesized answer. It covers prompt-level measurement, citation analysis, machine-readable structure, cross-source consensus, and controlled before/after measurement.
What makes Fireflyo different from other AEO or GEO agencies?
Fireflyo is run by data and AI engineers, not marketers, and every engagement is staffed by a forward-deployed engineer (FDE) rather than an account manager. Engagements start with a measured sweep of your category — every buyer question, every engine, run twice — instead of a content plan. Recommendations come from that data, execution runs at agentic speed on our proprietary platform, and results are verified against a matched control group so lift is attributable, not asserted. We publish our research with full methodology, including negative results.
How does a Fireflyo engagement work?
Four steps, run by your FDE. Sweep: your buyers’ questions through every engine, before you pay anything. Diagnose: separate “the engine doesn’t know you” from “it knows you and recommends someone else” — opposite fixes. Execute: we ship the fixes ourselves, on-domain and off-domain. Re-measure: same questions on a schedule against a control group, with a written diff every cycle.
What is a forward-deployed engineer (FDE)?
An FDE is an engineer from the team that built our measurement platform, deployed to work directly with yours — in your Slack, reading your sweeps, shipping your fixes. It is the staffing model AI-native companies use instead of account management: the person who talks to you is the person who does the work and answers for the result.
How much does Fireflyo cost?
Starter, for growth companies, is $3,000 per month for the first three months of jumpstart mode, then a $2,000 per month retainer once the system is built. Enterprise pricing is custom for multi-brand or multi-market teams — talk to sales. Both tiers include a forward-deployed engineer working with your team, and the initial audit is free either way.
Which AI engines does Fireflyo measure?
ChatGPT, Perplexity, Gemini, Claude, Copilot, Grok and Google AI Overviews. Sweeps run per engine and per question, so you see where you stand on each rather than a single blended score.
Do you use your own software or third-party tools?
Our own. Fireflyo runs on a proprietary measurement platform that automates category sweeps, diffs between runs and control-group comparisons. That is why a full category read takes hours rather than weeks, and why re-measurement is a schedule rather than a project. Clients get the results; they never have to operate a dashboard.
How fast will AI answers mention my brand?
It depends on which failure mode you are in. Technical and structural fixes (crawler access, schema, answer-first pages) can move inclusion in weeks. Reputational gaps — missing review profiles, no third-party comparisons, weak cross-source consensus — take months, because engines want sources you don’t own. The sweep tells you which one you have before any money is spent, and we will tell you honestly if the slow path is the one that matters.

The manual GEO audit

Find out what AI tells your buyers.
Before your competitors do.

Your buyers' questions, through every engine - swept by our platform, read by an engineer. Who gets named, and why. Free.

Reviewed by an FDE, not auto-generated. No deck. No discovery call.