Resources

Guides on AEO and energy technology

Practical, citable answers to the questions energy buyers ask — and the AEO methods behind them. New guides ship in waves.

Phase 2 — Coming soon

localGEO/AEO Agency — London & Home CountiesComing soon
DSR / flexibilityDemand-side response & flexibility explainedComing soon
what is a BMSBuilding Management Systems (BMS) explainedComing soon
ESOSESOS hubComing soon
heat recoveryHeat recovery explainedComing soon
business energy auditBusiness energy audit guideComing soon
comparisonBest energy management software UKComing soon

Phase 3 — On the roadmap

what is AEO / GEOWhat is AEO / GEO — definitive guideComing soon
energy efficiencyEnergy efficiencyComing soon
differentiatorEnergy-sector AEO — positioningComing soon
ESOS Phase 4ESOS Phase 4 — deep complianceComing soon
Onboarding

How onboarding works

Every step below is included in the package you choose — there are no additional costs. Our aim throughout is integrity, transparency and value.

Before we begin

When you sign up, we acknowledge your email and send our contact details. We'll ask for the best phone number to reach you on — conversations are quicker and more productive than email. Short questionnaires help accelerate the Discovery stage. Before our first call, we research your marketplace so we arrive prepared, with the fundamentals covered and some genuinely useful questions for you.

Discovery

We work with you and your team to understand how SuccessClick can best deliver value in your timeframe. We recommend an iterative Discovery — more than one session, where the first sets the foundations for the next — though a single call is fine if you prefer. If our services aren't the right fit for you, we'll say so early and clearly.

During Discovery we explore:

  • Your strategy, short-term and longer-term
  • Your target audience and customer base — now and in future
  • Your product and service goals
  • Your geographical focus, where relevant
  • The competitive landscape, including what our initial research has found
  • How we can help you grow, reduce costs or improve efficiency

The outputs shape a preliminary Answer Engine Optimisation (AEO) strategy. We agree the plan and its priorities with you, then begin the three-step campaign process.

The three-step campaign process

The steps guide each engagement but aren't rigid — there's flexibility throughout.

  1. Content creation. You choose how involved to be: supply content and guidance for us to publish across our authority network, or — where the deeper value from Discovery shows — we create highly relevant content tailored to your specific niche.
  2. Publishing. Eight-format content is our baseline for each campaign. Once the multi-cast content is ready you can review it first if you wish; the standard path is direct distribution to our network of 300+ websites for immediate presence building.
  3. Continual review. After publishing we assess and report performance, including a distribution summary that lists every site and links to the content — so what was published, and where, is fully traceable. As campaigns mature we keep monitoring each distribution against your goals and ROI, with regular catch-up calls to keep everything relevant.

Pausing or cancelling

You can pause or cancel by emailing the team, and we'll action it promptly. Campaigns usually run monthly. We operate a no-long-contracts approach: our notice period is one month, so a campaign that's no longer to run should be cancelled one month before its next start date. That window lets us decommission feeds and configurations and complete the paperwork, so no incorrect billing occurs.

Offboarding

If you no longer wish to work with us, please let the team know as early as possible by email. We'd genuinely value a conversation to understand why and to put right anything that fell short — but if you'd prefer not to, just send us your intended end date and we'll action it promptly. Campaigns and billing are closed and archived, and all data is treated in line with the relevant policies. You're always welcome back if circumstances change.

Evidence base

Sources for our headline figures

We cite primary sources, not secondary summaries, and we're explicit about what each figure measures versus what it implies. Where a widely-quoted number couldn't be verified against its primary source, we left it out.

  1. 51% — B2B buyers start research in AI chatbots

    G2 (T. Sanders). The Answer Economy: How AI Search Is Rewiring B2B Software Buying. 15 April 2026. Survey of 1,076 buyers, fielded March 2026. Research survey
    learn.g2.com/g2-2026-ai-search-insight-report

    Where buyers begin research (up from 29% in April 2025). The same study found 69% chose a different vendor than planned after AI-chatbot guidance.

  2. Up to 40% — uplift in generative-engine visibility

    Aggarwal, P., et al. GEO: Generative Engine Optimization. Proc. 30th ACM SIGKDD (KDD '24), 2024, pp. 5–16. DOI: 10.1145/3637528.3671900. Preprint arXiv:2311.09735. Peer-reviewed experiment
    arxiv.org/abs/2311.09735

    Measures visibility in AI answers, not revenue — the only causal/experimental figure here. The uplift varies by domain, which is why energy content needs energy-specific optimisation.

  3. 23× — higher conversion from AI-search visitors

    Ahrefs (P. Stox). Does AI Search Traffic Convert Better Than Traditional Search? 16 June 2025. First-party analytics. Named first-party
    ahrefs.com/blog/ai-search-traffic-conversions-ahrefs

    A traffic-quality correlation — AI-referred visitors arrive pre-qualified. Read as "AI-search visitors convert at…", not "AEO increases conversion by…".

  4. 4.4× — AI-search conversion lift

    Semrush (K. Byers & R. Handley). The Impact of AI Search on SEO Traffic, 500+ topics. 9 June 2025. Named vendor study
    semrush.com/blog/ai-search-seo-traffic-study

    Same traffic-quality caveat as above; value measured by conversion rate.

We excluded a widely-circulated "+115% for a rank-5 page" figure that couldn't be verified against the primary paper, and we don't show retail e-commerce data (e.g. Adobe's +42%) on this page because it isn't B2B. Sources re-verified against primaries: 14 July 2026.