Generative engine optimization services that get you recommended by ChatGPT, Perplexity & Gemini
We build the on-site structure and the off-site citation layer that make AI engines name your brand when buyers ask them to recommend tools in your category.
GEO is the fastest-growing visibility channel there is. When a buyer asks an engine what the best tool for X is, the answer is decided by the sources it retrieves — we make sure you are in them.
Why AI engines recommend your competitors instead of you
AI recommendations are not random. They are built from sources — and here is why you are being left out of them.
The service builds both halves of AI visibility. Here is what that means in practice.
See what you get- 01
Your competitors own the sources AI engines read
ChatGPT and Perplexity build recommendations from listicles, review sites and publications. If your competitors appear on those sources and you do not, the engine names them instead of you.Solved by- Off-site citation building
- 02
On-site content alone cannot win AI visibility
You can publish the best pages in your category and still lose. If the third-party consensus points elsewhere, AI engines follow the consensus. You need the off-site layer as well as the on-site one.Solved by- Source-gap targeting
- Extractable on-site content
- 03
Nobody owns your citation strategy
No one is systematically getting your brand named in the industry listicles, roundups and review categories that AI engines treat as authoritative — so it happens by accident, or not at all.Solved by- Off-site citation building
- Brand entity consistency
- 04
You cannot see your AI recommendation rate
You have no idea how often ChatGPT or Perplexity name you versus your competitors, or whether that number is moving. What you cannot see, you cannot manage.Solved by- AI recommendation tracking
What our generative engine optimization services include
GEO targets the standalone AI engines — ChatGPT, Perplexity and Gemini — and the off-site consensus that feeds them.
Open any item for why it matters commercially and exactly what lands in your folder.
01Off-site citation building
Monthly placements on the industry listicles, review sites, niche publications and expert roundups that AI engines retrieve when they recommend brands.
- Why it matters
- AI engines recommend on third-party consensus. Getting named on the sources they already trust is the single highest-leverage GEO action there is — it is how you enter the answer at all.
- What you receive
- Verified live placements, links or brand mentions, each passing a three-part bar: topical relevance, genuine authority, and your brand named in category context.
02Source-gap targeting
Analysis of which specific sources are getting your competitors cited in AI answers, then targeted outreach to appear on those same pages.
- Why it matters
- The fastest route into a recommendation is the source the engine already trusts for your category. We reverse-engineer competitor citations into your target list rather than guessing at one.
- What you receive
- A prioritised source-gap list showing where competitors are cited and you are absent, worked as a standing outreach pool.
03Extractable on-site content
Your key pages restructured with answer-first openings, comparison tables, definition capsules and entity-consistent naming, so engines can cleanly extract and cite them.
- Why it matters
- When an engine does land on your site, structure decides whether it can use what it finds. Extractable pages are far more likely to be quoted in a generated answer than pages that bury the point.
- What you receive
- Restructured priority pages built for AI extraction, shipped with schema and consistent entity naming.
04Brand entity consistency
Consistent brand and product naming across your site, your schema and your external profiles — sameAs, review sites, social — so engines confidently associate you with your category.
- Why it matters
- AI engines reason over entities. Inconsistent naming fragments your brand signal across sources; consistent entity data makes you a clearer, more citable authority.
- What you receive
- An entity audit and fix list unifying how your brand appears everywhere an AI engine looks for it.
05AI recommendation tracking
Monthly measurement of how often ChatGPT, Perplexity, Gemini and AI Overviews name your brand on buyer-intent prompts, benchmarked against competitors.
- Why it matters
- GEO is only manageable if it is measured. Your recommendation rate shows what is working and where competitors still lead, and that is what steers the next month of work.
- What you receive
- Your brand mention rate and citation share across all four engines, in the monthly AI Visibility Report.
How AI recommendations are actually built
AI engines use retrieval-augmented generation. They search the live web, retrieve the sources they judge most authoritative, and synthesise an answer out of them. The brands named in the retrieved sources are the brands that appear in the recommendation — which is why GEO is as much an off-site job as an on-site one.
Retrieve
GEO acts hereThe engine searches the live web and pulls the sources it trusts most for your category — listicles, review platforms, publications.
Off-site citation building puts your brand on those sources.
Synthesise
GEO acts hereIt reads what those pages say, along with anything it finds on your own site, and composes a single answer from them.
Extractable content makes your pages usable when it gets there.
Recommend
It names a shortlist of brands. Whether you are on it was decided two steps earlier, by which sources were retrieved.
Tracked monthly, benchmarked against your competitors.
Generative engine optimization pricing
The same senior process at every tier. Only the monthly volume changes, and AI recommendation tracking across all four engines is included from the entry plan up.
- Term
- 6 or 12 months, then month-to-month
- Deliverable mix
- Set by the monthly roadmap
- Starter
$3,000
Prove the channel
- 5 revenue pages & articles
- 2 earned links or brand mentions
- GrowthMost popular
$5,000
Scale pipeline
- 8 revenue pages & articles
- 4 earned links or brand mentions
- Aggressive
$7,500
Own your category
- 11 revenue pages & articles
- 6 earned links or brand mentions
Never gated to the top plan.
- Monthly AI Visibility Report
- Live dashboard (GSC + GA4)
- One-page monthly roadmap
- Monthly strategy call
Need a narrower scope? Custom plans from $2,000/month, tailored to your growth stage and priorities.
See full published pricingReal results for B2B SaaS companies
Three B2B SaaS growth programmes. Three sets of numbers.
Who generative engine optimization works best for
B2B SaaS and AI companies with a considered buying journey, whose buyers now open ChatGPT or Perplexity long before they ever open a sales email.
Mutual fit matters
Citations compound. The best results come from teams that keep approvals and developer tickets moving, so each month's placements and structural fixes stack on the last instead of stalling in a queue.
Best-fit clients
04Who this is not for
03Five commitments behind the citation work
Five commitments that separate the Growth Programme from a generic blogging retainer.
30 minutes. No pitch deck, no pressure.
- 01
Flat counts, not "up to"
You buy 8 pages, you get 8 pages. The count is an exact commitment, verifiable on the tracker every month.
100%
No 'up to' language, and no vanishing deliverables.
- 02
AI Visibility Report at every tier
Even our smallest plan tracks your AI visibility monthly. Most agencies save that for their premium tier.
4+
ChatGPT, Perplexity, Gemini and AI Overviews, from the $3,000 tier up.
- 03
Ships in week three
No paid strategy months. The plan is built in parallel and your first pieces land before Month 1 ends.
Wk 3
Strategy is built in parallel, so momentum starts in month one.
- 04
Revenue-first content
Comparison, alternatives, and use-case pages mapped to your demo, pricing, and solution pages, not top-of-funnel traffic bait.
Every
Every piece points toward a demo, trial or pricing decision.
- 05
Google + AI search ready
Every piece built for traditional search rankings and AI-engine citation. Schema, llms.txt, entity work. Infrastructure, not buzzwords.
2
Structured for classic rankings and AI-engine citation at once.
Meet the founders
The people you meet on the call run your programme. No layers of account managers between you and the strategy.
You'll be talking to one of us on the call, not an account manager.
Generative engine optimization questions, answered
The five things teams ask before they commit. Answered here so the call can be about your category instead.
30 minutes. No pitch deck, no pressure.
What is generative engine optimization?
Can you control what ChatGPT says about my brand?
How is GEO different from AEO?
How fast does GEO work?
How do you measure GEO results?
From the blog
Practical guides and case studies on SEO, AEO and GEO for B2B SaaS.
- AI Visibility
GEO Case Study: 8,337% ChatGPT Referral Growth
How a generative engine optimization programme drove 8,337% ChatGPT referral growth in 90 days.
Faisal Irfan · 2026
- AI Visibility
Avaza AI Visibility Case Study: Mentions & Citations
How TRM engineered AI-answer eligibility so Avaza earned repeatable AI mentions and citations — and converted that discovery into measurable key events.
Faisal Irfan · Jul 2026
- AI Visibility
How to Audit Your Brand's Visibility on LLMs
See if ChatGPT, Claude and Gemini mention your SaaS brand. A 2026 guide to auditing LLM visibility manually and with tools.
TRM · 2026
Ready to be the brand Google ranks and AI recommends?
Book a free 30-minute call. You will see exactly what you would get, what it costs, and what to expect by Month 3 and Month 6. No pitch deck, no pressure.
