AI SEO Agency for SaaS and Technology Companies
The way people search is changing.
Your strategy should too.
Your website may rank well in Google and still be absent when a buyer asks an AI assistant to compare providers. AI search can research a category, explain the differences and produce a shortlist in one answer. If your product is described vaguely, supported by weak evidence or presented differently across the web, stronger competitors can be recommended in its place.
Traditional SEO
/manual journey
The buyer compresses a complex need into a few search terms, often without explaining their company, priorities or constraints.
Recognisable brands and prominent organic results receive the first attention.
The buyer moves between vendor websites, review platforms and industry articles.
Features, pricing, integrations, use cases and reviews are checked across several sources.
The buyer compares what they have found and contacts the most relevant vendors.
AI Search
/buyer journey
The buyer describes their company, requirements, current systems, priorities and budget.
The AI assistant interprets those requirements and identifies possible providers.
Products are summarised and compared within a single response.
The buyer reviews cited pages, independent sources, reviews and product information.
Follow-up questions narrow the shortlist before the buyer visits selected websites or books a demonstration.
More decisions start in AI Search while fewer searches end with a website visit.
Why does this matter for SaaS companies?
AI assistants are becoming part of how software buyers discover categories, compare products and decide which vendors deserve closer attention.
This changes the job of search optimisation. It is no longer enough to rank for a keyword. Your company must also be represented accurately when an AI system assembles an answer from your website, product documentation, reviews and third-party sources.
Of B2B software buyers start their research with an AI chatbot more often than Google.
Use AI chatbots at some point during the software research process.
Chose a different software vendor than expected after receiving guidance from an AI chatbot.
What is AI search optimisation
An AI search optimisation agency helps companies improve how AI-powered platforms find, interpret and describe their brand, products and services.
The work connects product positioning, content, technical SEO and external authority so that answer engines can associate your product with the right category, buyers and use cases.
A Generative Engine Optimisation agency applies these principles across positioning, content, technical SEO and authority, helping AI systems understand when a company is relevant and how it should be represented.
AI Search vs Traditional SEO
Traditional SEO helps pages rank, attract qualified traffic and convert search demand. For companies investing in B2B SaaS SEO, those foundations still matter, but they now need to support visibility in AI-generated research and recommendations as well.
AI search optimisation focuses on whether a brand is mentioned, cited and represented correctly inside generated answers. The two disciplines share technical and content foundations, but they are measured differently.
Which should you prioritise
For most SaaS companies, the answer is both.
Organic rankings still matter. Pages that search engines can crawl, understand, and trust are also more useful to AI retrieval systems. A joined strategy protects existing search performance while extending visibility into AI-generated research and recommendations.
How our AI SEO services improve search visibility.
What will you receive
from working with us.
A clear plan based on your product, market and commercial priorities. Every recommendation is assessed against potential value, implementation effort and its likely influence on organic search and AI-generated answers.
Overview
We begin with the buyer questions that matter, establish your current visibility and turn the findings into a prioritised 90-day roadmap.
Audit and strategy
We begin with the buyer questions that matter, establish your current visibility and turn the findings into a prioritised 90-day roadmap.
AI visibility and competitor benchmark
We measure where your company appears, how it is presented and which competitors receive stronger visibility or more frequent citations.
Buyer prompt and query map
We identify the questions buyers ask across discovery, comparison, evaluation and decision-making.
Product-positioning and entity review
We assess whether your website communicates your category, audience, capabilities, use cases and differentiators consistently.
Content, authority and citation gap analysis
We examine the pages and third-party sources influencing answers in your category, then identify what your company is missing.
Prioritised 90-day roadmap
We organise the work by commercial relevance, likely impact, effort and technical dependencies.
Implementation and measurement
The same team implements the strategy across your website, content and technical foundations.
Technical search foundations
We improve crawlability, indexation, rendering, information architecture and internal linking so important product information can be found reliably.
Structured data and entity consistency
We implement relevant structured data and align information about your organisation, products, services and authors.
Content and on-page optimisation
We improve page structure, copy, metadata and internal links around priority questions, comparisons and use cases.
Authority and source development
We identify credible profiles, review platforms, publications and independent references that can strengthen your company’s position in its category.
AI visibility tracking and reporting
We monitor selected prompts, mentions, citations, answer context and competitors alongside rankings, qualified traffic and conversions.
Explore why technology teams choose Rattlesnake.
Founder-led, from the start.
You work directly with the founders from the first call through to launch, not an account manager assigned once the deal closes. The people who scope the strategy are the same people who deliver it.
Boutique by design.
We deliberately take on a small number of products at any one time. That focus means senior attention, quicker decisions and real depth on your product rather than scale for its own sake.
Technical product expertise
We work across SaaS, fintech, AI, cybersecurity, LegalTech and other complex categories, combining technical accuracy with clear category language.
Evidence-led measurement
We benchmark priority prompts, brand mentions, citation sources and competitor visibility, then track which changes improve results.
We support ambitious technology companies from strategy through implementation and growth.
Where we improve
your visibility.
We work with SaaS and B2B technology companies whose buyers research carefully before making a decision. This includes vertical SaaS, developer tools, infrastructure, fintech, regtech, cybersecurity, data platforms and B2B marketplaces.
These products need precise positioning, technically accessible information and credible evidence across both conventional search results and AI-generated answers.
ChatGPT
Recommendations and comparisons
Buyers use detailed prompts to describe requirements, compare providers and refine a shortlist before visiting vendor websites.
Google AI Overviews
Visibility within search answers
Generated summaries can appear above traditional organic results. Direct answers, clear supporting evidence and technically accessible pages improve your chance of being understood.
Google AI Mode
Multi-step research
Conversational searches can connect several questions in one journey. This rewards useful topic coverage and consistent information across related pages.
Perplexity
Citation-led discovery
Visible citations help us analyse which pages, publishers and competitors influence answers in your category.
Gemini
Google-connected research
Clear product definitions and consistent supporting information help Gemini understand where your company fits and when it is relevant.
Claude
Research and internal evaluation
These platforms matter when buyers use AI to compare options, summarise research and prepare internal recommendations.
Have a question?
We have answers.
What is an AI search optimisation strategy?
An AI search optimisation strategy is a coordinated plan for improving how often and how accurately a company appears in AI-generated answers. It connects buyer-prompt research, visibility benchmarking, product positioning, content strategy, technical access, external authority and measurement.
Each action should relate to a commercial question or a clear weakness found during the audit.
What does an AI visibility audit include?
Our AI visibility audit tests priority buyer questions across relevant platforms and records brand appearances, recommendation context, cited sources, competitors and factual accuracy.
It also reviews product positioning, content coverage, technical discoverability and external authority. The findings are turned into a prioritised roadmap.
How do you improve AI visibility for a SaaS product?
We begin with the questions buyers ask when discovering and comparing products. We then benchmark current results, clarify the product’s positioning, improve key pages, resolve technical barriers and strengthen credible supporting sources.
Progress is measured through repeated prompt testing, citation analysis and conventional SEO performance.
Which AI search platforms do you optimise for?
We work across ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity, Claude, Microsoft Copilot and other relevant answer engines.
The exact platform mix depends on your audience. We focus on durable foundations such as clear positioning, useful content, technical accessibility and credible evidence, rather than temporary platform tricks.
How long does AI search optimisation take?
An audit and initial strategy can establish a useful baseline quickly, but meaningful visibility develops over time.
The timeline depends on your existing website, category competition, content gaps, technical issues and third-party authority. AI results also change as models, indexes and cited sources evolve.
Do you guarantee AI citations or recommendations?
No responsible agency can guarantee that an independent AI platform will cite or recommend a particular company.
What we can commit to is measurable progress across the signals we can influence. Across the client engagements we have tracked to date, clients have reported a meaningful increase in inbound leads following the first quarter of working with us. Individual outcomes vary, and AI visibility is one of several factors that can influence demand.
We improve these signals systematically, measure what changes and report progress transparently rather than claiming control over platforms we do not own.
Do you need to rebuild our website?
Not always. Many programmes begin with targeted improvements to positioning, content, technical discoverability and site structure.
We recommend a rebuild only when the existing architecture, templates or content model materially limit performance.
How much do you charge for your work?
Consulting and implementation engagements typically range from £5,000 to £25,000 per month, depending on the scope and level of implementation required.
For companies that need an AI visibility audit, strategy, regular consulting and ongoing implementation oversight rather than full delivery, engagements start from £3,000 per month.
Pricing depends on factors such as website complexity, the extent of any website rebuild, content and technical requirements, target markets, and whether the programme includes PR, media coverage, authority building or third-party placements.
Technical search foundations
We improve crawlability, indexation, rendering, information architecture and internal linking so important product information can be found reliably.
Structured data and entity consistency
We implement relevant structured data and align information about your organisation, products, services and authors.
Content and on-page optimisation
We improve page structure, copy, metadata and internal links around priority questions, comparisons and use cases.
Authority and source development
We identify credible profiles, review platforms, publications and independent references that can strengthen your company’s position in its category.
AI visibility tracking and reporting
We monitor selected prompts, mentions, citations, answer context and competitors alongside rankings, qualified traffic and conversions.
© 2020-2026 Rattlesnake Group Limited.
Rattlesnake Group Limited is a limited liability company registered in England and Wales. Registered number: 12551349. Registered address: 124 City Road, London EC1V 2NX. VAT Registration Number: 436362592.
