Solar & Heat Pumps,
according to AI
Every week we ask ChatGPT, Claude and Gemini the questions real UK consumers ask about solar & heat pumps — and record exactly which brands they put forward. Right now, Octopus Energy owns the conversation.
0 AI answers this run · 0 brands named · measured, never estimated
Octopus Energy is the default answer.
Named in 13% of solar & heat pumps answers, typically in position 1.3. Tesla follows at 8%, GivEnergy at 7%.
Every brand AI names, ranked.
Visibility is the share of answers naming the brand; citation share is its slice of all brand-owned pages cited; read→cited is how often its pages convert a read into a citation.
| # | Brand | Visibility | Avg. position | Citation share | Read→cited |
|---|---|---|---|---|---|
| 1 | Octopus Energy | 13% | 1.3 | 21% | 17% |
| 2 | Tesla | 8% | 2.2 | 0% | — |
| 3 | GivEnergy | 7% | 2.3 | 5% | — |
| 4 | Green Energy | 3% | 1.5 | 0% | — |
| 5 | British Gas | 3% | 3.0 | 11% | 100% |
| 6 | Eddi | 2% | 1.0 | 0% | — |
| 7 | Effective Home | 2% | 1.0 | 0% | — |
| 8 | Good Energy | 2% | 1.0 | 5% | — |
| 9 | E.ON Next | 2% | 2.0 | 11% | 50% |
| 10 | iBoost | 2% | 2.0 | 0% | — |
| 11 | LG Chem | 2% | 2.0 | 0% | — |
| 12 | Enphase | 2% | 3.0 | 0% | 0% |
| 13 | EDF Energy | 2% | 4.0 | 0% | — |
| 14 | Fox ESS | 2% | 4.0 | 0% | — |
| 15 | SolarEdge | 2% | 4.0 | 0% | — |
The referees of solar & heat pumps.
The independent sources AI models cite when answering solar & heat pumps questions — the places a brand needs to be seen, reviewed and ranked.
Octopus Energy converts reads into citations.
When Claude or ChatGPT opens a brand's own pages while answering, does the page make the cited-sources list? Octopus Energy converts 17% of reads. That gap is a content problem, not a visibility problem.
Full data table
| # | Brand | Visibility | Avg. position | Citation share | Read→cited |
|---|---|---|---|---|---|
| 1 | Octopus Energy | 13% | 1.3 | 21% | 17% |
| 2 | Tesla | 8% | 2.2 | 0% | — |
| 3 | GivEnergy | 7% | 2.3 | 5% | — |
| 4 | Green Energy | 3% | 1.5 | 0% | — |
| 5 | British Gas | 3% | 3.0 | 11% | 100% |
| 6 | Eddi | 2% | 1.0 | 0% | — |
| 7 | Effective Home | 2% | 1.0 | 0% | — |
| 8 | Good Energy | 2% | 1.0 | 5% | — |
| 9 | E.ON Next | 2% | 2.0 | 11% | 50% |
| 10 | iBoost | 2% | 2.0 | 0% | — |
| 11 | LG Chem | 2% | 2.0 | 0% | — |
| 12 | Enphase | 2% | 3.0 | 0% | 0% |
| 13 | EDF Energy | 2% | 4.0 | 0% | — |
| 14 | Fox ESS | 2% | 4.0 | 0% | — |
| 15 | SolarEdge | 2% | 4.0 | 0% | — |
Three models. Three different answers.
Ask about solar & heat pumps and the brand you are shown depends on the assistant: Claude → Tesla, Gemini → Octopus Energy, ChatGPT → SolarEdge. Their top-five lists share just 20% of names.
Brands whose visibility swings most between models — the bar per model, widest gap on the right.
The data behind this chart
| Brand | Claude | Gemini | ChatGPT | Spread |
|---|---|---|---|---|
| Octopus Energy | 10% | 25% | 5% | 20pp |
| GivEnergy | 0% | 15% | 5% | 15pp |
| British Gas | 10% | 0% | 0% | 10pp |
| Green Energy | 0% | 10% | 0% | 10pp |
| Tesla | 10% | 10% | 5% | 5pp |
| Good Energy | 5% | 0% | 0% | 5pp |
| LG Chem | 5% | 0% | 0% | 5pp |
| EDF Energy | 5% | 0% | 0% | 5pp |
| Fox ESS | 0% | 5% | 0% | 5pp |
| Sigenergy | 0% | 5% | 0% | 5pp |
How-to guides carry solar & heat pumps.
Every page AI opened while answering, classified by what kind of page it is. How-to guides supply the most citations; Comparisons convert best — 100% of the ones models opened were actually cited.
The data behind this chart
| Page type | Cited | Read but not cited | Conversion |
|---|---|---|---|
| How-to guides | 157 | 6 | 96% |
| Editorial | 153 | 16 | 91% |
| Documentation | 24 | 16 | 60% |
| Comparisons | 24 | 0 | 100% |
| pricing | 22 | 1 | 96% |
| Other | 19 | 6 | 76% |
| Product pages | 12 | 4 | 75% |
| spec-sheet | 12 | 0 | 100% |
Structured data is what separates cited from ignored.
Of the solar & heat pumps pages models actually opened, how much more often each feature's pages ended up in the cited sources. Structured data is worth 17 percentage points; cites its sources pages fare 9pp worse. Measured within the read population, so selection can't flatter it.
The data behind this chart
| Feature | Pages with | Cited % | Pages without | Cited % | Difference |
|---|---|---|---|---|---|
| Structured data | 447 | 91% | 109 | 74% | +17pp |
| Answer up front | 321 | 91% | 235 | 83% | +8pp |
| Named author | 358 | 89% | 198 | 85% | +5pp |
| Specifications | 133 | 90% | 423 | 87% | +3pp |
| Comparison table | 166 | 89% | 390 | 87% | +1pp |
| Updated this year | 262 | 86% | 294 | 89% | -3pp |
| Hard statistics | 201 | 85% | 355 | 90% | -5pp |
| Cites its sources | 50 | 80% | 506 | 89% | -9pp |
Sunsave builds pages AI can quote.
Readiness scores each brand's own pages on the structure models reward — a direct answer up front, tables, hard numbers, named authors, structured data, recency, specifications. Spirit Energy is the widest gap: well-built pages that still aren't converting into citations.
| Brand | Readiness | Pages cited | Pages profiled |
|---|---|---|---|
| Sunsave | 69 | 83% | 12 |
| Spirit Energy | 59 | 0% | 7 |
| GivEnergy | 56 | 4% | 54 |
| Fox ESS | 51 | 0% | 77 |
| Good Energy | 50 | 8% | 13 |
| Hive | 50 | 40% | 10 |
| Project Solar | 48 | 0% | 10 |
| EDF Energy | 44 | 0% | 30 |
| Infinity Energy | 41 | 25% | 4 |
| Enphase | 38 | 0% | 3 |
Readiness is the share of eight measurable structural signals present on a brand's profiled pages. It is a build-quality measure, not a ranking of the brand.
The questions solar & heat pumps pages have to settle.
Read straight off the pages AI cited: the consumer questions cited content answers most often. Content that fails to settle these is content models have no reason to quote.
Nineteen more categories.
Method: 20 unbranded consumer prompts per category, spread across the buying journey, run weekly against ChatGPT, Claude and Gemini. Read→cited uses Claude and ChatGPT only (Gemini does not separate the two). Correlational observations of model behaviour at the time of the run. Data from the run completed Sun, 27 Sep 2026 07:03:34 GMT.