WHO IT'S FOR
Get named when ChatGPT picks your buyer's shortlist.
Buyers ask ChatGPT and Google's AI Overview before they read your homepage. Searchmaxxed builds the category, comparison and proof pages that earn the citation, then track exactly when you get named.
DIRECT ANSWER
What this actually solves
Eight in ten B2B software buyers sourced a product recommendation from ChatGPT or Google AI Mode in the last two years (G2, 2026 Buyer Behavior Report, 22 July 2026). Review sites and AI chatbots are now the two biggest forces shaping the shortlist, ahead of your own homepage. Searchmaxxed builds the category, comparison and proof pages that earn the citation. We corroborate you across G2, Capterra and Reddit, then track every time a model names you instead of a competitor.
THE PROBLEM
Where this usually goes wrong
Ask ChatGPT which tool solves your buyer's problem, and it names a competitor first. Your product never enters the answer.
A review site defines your category before your buyer ever loads your homepage. Their language becomes the buyer's language.
Your G2 profile answers the comparison question, and the click stops there. Your own product page never gets read.
Buyers search “your product vs the competitor” every week, and nobody on your team has written that page yet.
WHAT YOU WANT
What being the cited source looks like
The goal is simple. When a buyer asks an AI which tool to choose, you are the name it gives back.
Named in the shortlist
Ask ChatGPT, Gemini or AI Overviews to name tools in your category, and your product is in the answer. Buyers find you without knowing your name first.
Quoted on the category
When a model explains what your category solves, it uses the definition you published. Competitors get named on your terms.
Present in every comparison
Every “X vs Y” and “best tools for” search includes you on the list, because you published the page and the proof behind it.
Demos that arrive convinced
Prospects read the comparison and the reviews before they book. The rep spends the call confirming fit, not building trust from zero.
YOUR STRATEGY
The strategy we run to get you cited
Five phases, in order: the name AI gives your buyer.
PHASE 01
Map the committee and the answer set
We map the category, alternative, comparison and risk questions your buying committee actually asks. Then we record what ChatGPT, Gemini, Perplexity and
AI Overviews answer today, and who they name.
Buying-committee question map
AI answer baseline across ChatGPT, Gemini, Perplexity and AI Overviews
Competitor citation audit
PHASE 02
Build the pages a model can quote
The
Agentic Website ships category, use-case, integration and proof pages engineered so one paragraph can be lifted and still sell you.
Structured data and direct answers ship with every page.
Category and use-case pages
Direct-answer blocks and schema
Integration and proof pages
PHASE 03
Run the comparison and versus programme
Half of buyers who research with AI chatbots say the tools have their biggest impact when narrowing and comparing options (G2, 2026 Buyer Behavior Report, 22 July 2026). We map every “best [category] tool,” “you vs competitor” and “alternatives to competitor” search in your market. We find who owns each one today, then publish the page that answers it honestly.
Comparison and vs page set
Per-page citation tracking
PHASE 04
Build the source layer AI checks first
Assistants read Reddit threads, G2 and Capterra reviews, documentation and third-party mentions before they trust what your own page says. We develop consistent facts and real presence across all four, because a model will not repeat a claim it cannot corroborate.
G2 and Capterra review program
Documentation and developer listings
Third-party mention tracking
PHASE 05
Run the loop against citation share
The
Managed Search Loop tracks who gets named across every surface every week. It ships the next page or fix ranked highest against citation share and demo quality.
Citation-share tracking by platform
THE SHAPE
What has to be true in the answer
Citation
Get named as a source when ChatGPT and AI Overviews answer the category question.
Comparison
Own the vs and alternatives pages before a competitor or review site writes them for you.
Corroboration
Match your product facts across G2, Capterra, Reddit and your own site so models trust the claim.
FAQ
Fair questions.
Can you actually influence what ChatGPT or an AI Overview says about us?
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Yes, indirectly. No agency controls a model's output directly. Every model draws on the same signals: indexed pages, structured facts and independent corroboration on review sites and Reddit. We build and strengthen those signals, then track whether the answer changed.
How is this different from normal SEO?
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Normal SEO wins a ranking position. AI search wins a mention inside someone else's answer, often with no click at all. Google's own documentation confirms AI Overviews and AI Mode pull from the same index as classic search, with no separate ranking system (Google Search Central, updated 10 December 2025). The technical and content foundation still matters. We add the comparison pages, structured facts and third-party proof a model checks before it names you.
What happens when a model updates and the answer changes?
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It happens regularly, and a screenshot from last month proves nothing about this week. We track your citation status on a recurring schedule across every platform. A shift shows up in the next release, not six months later.
How do you measure citation share?
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We run a fixed panel of your real buying-committee questions against ChatGPT, Gemini, Perplexity and AI Overviews on a set schedule. We record who gets named, who gets cited as a source, and benchmark you against the same competitors every time.
Can we outrank G2 and Capterra, or do we just work with them?
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You do not outrank them, and you should not try. Review sites recently passed AI chatbots as the single biggest force shaping a software shortlist, at 38% to 37% (G2, 2026 Buyer Behavior Report, 22 July 2026). We strengthen your review profile on both platforms while building the comparison content on your own site that a model can cite alongside them.
What does this cost?
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The Growth System runs $6,500 a month with 30 production units. Agentic Search Engineering runs $11,000 a month with 50 production units and the full off-page program, including the comparison and source-layer work this page describes.
Do we need hundreds of pages to win this?
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No. A tight set of category, comparison and use-case pages usually beats a large generic blog. Each page needs real proof behind it, and the buying-committee question map decides the eventual scale.
Will our product marketing and engineering teams need to do the work?
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No. We lead research, page strategy and editorial work. Your team supplies product facts and any engineering changes the site needs, and keeps ownership of the roadmap decisions.
RELATED
Where to go next
Go deeper on the mechanics behind this page.
AEO for SaaS companies
SaaS visibility across ChatGPT, Gemini, Perplexity and AI Overviews, with buyer prompts, verified product facts and per-platform measurement.
GEO for SaaS comparisons
Make product fit, pricing, integrations and proof explicit before third-party comparison pages define you instead.
SEO strategy to earn AI citations
Crawlable category, use-case, integration and comparison pages backed by attributable product and customer evidence.
The Off-Page Source Layer
How we build the reviews, citations and third-party mentions AI systems check before they cite or recommend you.
AEO vs SEO vs GEO
Where AI visibility fits next to classic rankings, and why most SaaS companies need both built on shared foundations.
Pricing
Two retainers, entry options and the full production-unit breakdown behind the Growth System and Agentic Search Engineering.
Ready to dominate your market?
Build the
agentic website. Then run the weekly search system that turns it into qualified demand and revenue.
