A commercial energy buyer may now ask AI to shortlist solar installers before they speak to a consultant, review a proposal or issue an invitation to tender.
They might ask who can handle a warehouse roof, deliver a multi-site rollout, offer a funded installation or support a long-term carbon-reduction programme.
The companies named in that first answer enter the consideration set. The companies missing from it may never reach the comparison stage.
That is why we created the Tenacious AI Visibility Index.
Every month, we test the same buyer questions and record every commercial provider explicitly recommended. This lets us track which firms are rising, which are losing relative visibility and how recommendation patterns change across ChatGPT, Claude, Gemini and Perplexity.
July is Month 2 for UK solar and renewable energy firms, and the leaderboard has changed almost completely since June.
Geo Green Power ranks first in July with 31 question-level mentions and complete agreement across all four AI models.
Solar4Good follows in second place with 26 mentions and also achieves four-model consensus.
They replace a very different June leadership group. SSE Renewables was the only provider appearing across all three models in June, while firms including Lightsource BP, EDF Renewables UK and ScottishPower Renewables occupied the leading positions.
Only Anesco remains in the combined Top 10 across both months.
Nine companies enter July’s Top 10, while nine of June’s leaders leave it. The number of unique providers also falls from 78 in June to 63 in July, even though July uses a broader four-model, question-level methodology.
The clearest July pattern is a shift towards commercial solar installers and distributed-energy specialists. June’s leaderboard was more heavily populated by large renewable developers, utilities and established energy brands.
| Metric | June 2026 | July 2026 | Change |
| AI models included | 3 | 4 | Gemini added |
| Buyer questions | 10 | 10 | No change |
| Unique providers detected | 78 | 63 | Down 15 |
| Full-consensus providers | 1 | 2 | Up 1 |
| Consensus names | SSE Renewables | Geo Green Power, Solar4Good | Completely changed |
| Top-ranked provider | SSE Renewables | Geo Green Power | Changed |
| Perplexity responses with named providers | 3 of 10 | 9 of 10 | Much broader coverage |
| Top 10 providers retained | Anesco | Anesco | 1 of 10 |
The fall in unique providers does not necessarily mean the market became less competitive.
July’s methodology is more consistent and excludes generic categories, directories and non-provider sources from the combined ranking. It also counts every company at question level across four models.
Geo Green Power is the clearest July winner.
It appears in:
That creates a total visibility score of 31 from a maximum possible 40.
More importantly, the company appears across every model. It does not rely on one platform or one type of buyer question to create visibility.
Solar4Good records 26 total mentions:
It leads Claude’s solar leaderboard and appears in every Gemini response.
Like Geo Green Power, it achieves four-model consensus, making the pair the most broadly recognised commercial solar providers in July’s test set.
EvoEnergy receives 21 mentions across ChatGPT, Gemini and Perplexity.
It appears in every ChatGPT and Gemini response but is absent from Claude.
That gives it a high total score but less cross-platform coverage than the two firms above it.
This is a useful example of why total mentions and model agreement need to be read together.
Anesco is the only company retaining a Top 10 position across both months.
It ranked sixth in June and tenth in July.
In July, it appears in eight ChatGPT responses and once in Perplexity, but does not receive recorded mentions from Claude or Gemini.
Anesco therefore retains meaningful visibility, but its July position is more model-dependent than those of the leading firms.
Nine firms enter the combined Top 10:
These are new Top 10 entrants, not necessarily companies completely absent from June’s wider results.
The most notable common feature is their relevance to commercial solar, distributed energy and business energy projects.
Spirit Energy is especially model-sensitive. It receives all 10 possible Gemini mentions but only one each from ChatGPT and Perplexity.
Solarsense records 19 total mentions across ChatGPT and Gemini but is absent from Claude and Perplexity.
Ineco Energy also appears in every Gemini response but receives only two additional mentions from ChatGPT.
This is high visibility within a limited model set rather than broad market-wide consensus.
Nine June leaders do not remain in July’s combined Top 10:
This does not mean these providers disappeared from July’s AI responses.
Octopus Energy, for example, leads Perplexity alongside Geo Green Power with appearances in four buyer questions. Good Energy and Ecotricity each appear twice in Perplexity. SSE Renewables and ScottishPower Renewables also feature in specific renewable-energy queries.
Their movement reflects a change in combined visibility across the full test set, not a total loss of AI recognition.
| Rank | Company | ChatGPT | Claude | Gemini | Perplexity | Total | Models Agree |
| 1 | Geo Green Power | 10 | 7 | 10 | 4 | 31 | 4/4 |
| 2 | Solar4Good | 5 | 9 | 10 | 2 | 26 | 4/4 |
| 3 | EvoEnergy | 10 | — | 10 | 1 | 21 | 3/4 |
| 4 | EDF | 8 | 4 | — | 2 | 14 | 3/4 |
| 5 | Spirit Energy | 1 | — | 10 | 1 | 12 | 3/4 |
| 6 | Perfect Sense Energy | 7 | 1 | — | 2 | 10 | 3/4 |
| 7 | Solarsense | 9 | — | 10 | — | 19 | 2/4 |
| 8 | Ineco Energy | 2 | — | 10 | — | 12 | 2/4 |
| 9 | Centrica Business Solutions | 8 | 4 | — | — | 12 | 2/4 |
| 10 | Anesco | 8 | — | — | 1 | 9 | 2/4 |
Counts show the number of the ten buyer questions in which each model explicitly named the provider. The maximum possible score is 40.
The combined ranking prioritises breadth of model agreement before total mentions.
That is why Perfect Sense Energy ranks above Solarsense despite having fewer total mentions.
Perfect Sense Energy appears across three models, while Solarsense’s 19 mentions come from only two.
| Company | June Rank | July Rank | Movement |
| Geo Green Power | Outside Top 10 | 1 | New Top 10 entrant |
| Solar4Good | Outside Top 10 | 2 | New Top 10 entrant |
| EvoEnergy | Outside Top 10 | 3 | New Top 10 entrant |
| EDF | Outside Top 10 | 4 | New Top 10 entrant |
| Spirit Energy | Outside Top 10 | 5 | New Top 10 entrant |
| Perfect Sense Energy | Outside Top 10 | 6 | New Top 10 entrant |
| Solarsense | Outside Top 10 | 7 | New Top 10 entrant |
| Ineco Energy | Outside Top 10 | 8 | New Top 10 entrant |
| Centrica Business Solutions | Outside Top 10 | 9 | New Top 10 entrant |
| Anesco | 6 | 10 | Down 4 |
| SSE Renewables | 1 | Outside Top 10 | Dropped out |
| Lightsource BP | 2 | Outside Top 10 | Dropped out |
| EDF Renewables UK | 3 | Outside Top 10 | Dropped out |
| ScottishPower Renewables | 4 | Outside Top 10 | Dropped out |
| Vattenfall | 5 | Outside Top 10 | Dropped out |
| Good Energy | 7 | Outside Top 10 | Dropped out |
| Ecotricity | 8 | Outside Top 10 | Dropped out |
| Octopus Energy | 9 | Outside Top 10 | Dropped out |
| British Gas Business | 10 | Outside Top 10 | Dropped out |
June’s ranking used a different scoring structure, so these positions show directional Top 10 movement rather than like-for-like score changes.
June’s ChatGPT data was one curated renewable-energy sector ranking led by Lightsource BP.
July records a separate answer for every buyer question.
Geo Green Power and EvoEnergy appear in all ten July ChatGPT responses. Solarsense follows with nine, while EDF, Centrica Business Solutions, Anesco, EDF Renewables and Joju Solar each appear eight times.
That creates a more commercial-solar-focused picture than June’s broader renewable-energy shortlist.
Solar4Good leads Claude with nine appearances, followed by Geo Green Power and Contact Solar with seven each.
EDF, Centrica Business Solutions, Engie and Statkraft each appear four times.
Claude therefore combines commercial installers with larger energy and infrastructure organisations.
Gemini is new in July and produces an unusually concentrated leaderboard.
Nine providers appear in every Gemini response, including:
That concentration materially influences July’s totals.
It also means firms should avoid treating a high Gemini score alone as proof of broad cross-model visibility.
Perplexity returned named companies on only three of ten June solar questions.
In July, it returned named providers in nine of ten.
Geo Green Power and Octopus Energy lead Perplexity with four appearances each.
Solar4Good, EDF, Perfect Sense Energy, Excel Energy, Good Energy, Ecotricity, Jaguar Land Rover and Mypower each appear twice.
This broader coverage provides a much stronger picture of Perplexity’s recommendations than June could offer.
Three patterns stand out.
First, the centre of visibility has moved towards commercial solar installers. July’s strongest firms are closely associated with business installations, industrial sites, funded projects and multi-site energy requirements.
Second, full consensus remains rare. Only Geo Green Power and Solar4Good appear across all four models.
Third, model dependence is a major issue. Solarsense, Ineco Energy and several Gemini leaders achieve high totals without appearing broadly across the model set.
That gives us clear questions to track next month:
That is where the long-term value of the Index begins to build.
Commercial buyers are not only asking who installs solar panels.
They are asking about finance, PPAs, multi-site delivery, industrial property, carbon reduction, payback, energy risk and long-term support.
A provider’s AI visibility therefore depends on whether its public information clearly answers those commercial questions.
The strongest signals are likely to include:
Our AI visibility metrics guide explains how to measure recommendation coverage across models rather than relying on a single AI answer.
The generative engine optimisation guide explores how businesses can strengthen the signals AI systems use to recognise and recommend them.
We also examine the relationship between useful content, authority and recommendation visibility in what actually drives AI visibility.
The July 2026 Tenacious AI Visibility Index analysed ten UK-focused solar and renewable-energy buyer questions across ChatGPT, Claude, Gemini and Perplexity.
A provider was counted once for every model and question in which it was explicitly named.
Obvious brand variants were normalised, while directories, generic categories and non-provider sources were excluded. Perplexity returned a named commercial provider in nine of ten July responses.
July was compared with June’s Top 10 membership and recommendation patterns. Because June used three models and a different mix of sector-level and question-level data, month-on-month changes are directional rather than direct raw-score comparisons.
Disclosure: Results reflect responses collected on 10 July 2026. They measure named-provider visibility within this test set, not market share, service quality or an endorsement by Tenacious.
Want the Full Solar and Renewable Energy Dataset?
This report covers the headline July movements, but the full dataset includes:
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For help turning those findings into a practical visibility plan, explore our AI marketing services.
Which UK solar company ranked first in July 2026?
Geo Green Power ranked first with 31 total appearances across ChatGPT, Claude, Gemini and Perplexity.
Which providers appeared across all four AI models?
Geo Green Power and Solar4Good were the only providers achieving full four-model consensus.
Which company retained a Top 10 position from June?
Anesco was the only provider appearing in the combined Top 10 in both months. It moved from sixth in June to tenth in July.
Why did SSE Renewables leave the Top 10?
SSE Renewables still appeared in individual July recommendations, but it did not collect enough breadth and frequency to remain in the combined leading group.
Does this ranking show which renewable-energy provider is best?
No. The Index measures named appearances in AI recommendations. It does not assess project quality, commercial terms, technical ability or customer results.
Why are June and July totals not directly comparable?
June used three models, with ChatGPT providing one sector-level shortlist and Perplexity returning limited named citations. July used four models and question-level counting throughout. Top 10 movement can be compared directionally, but raw scores are not like-for-like.
