Best AI visibility tool for an energy company, ranked on whether the plan can tell a householder apart from a procurement manager
One energy brand answers to a tenant comparing tariffs, a factory buying a supply contract and a developer asking about a grid connection. Only two vendors publish a persona feature at all, and one of them limits it to a single persona on the plan you can buy.
AI Knows Us · Updated 2 November 2026
An energy company is a single brand with at least three unrelated buyers, and that is the thing most AI visibility tools are not built for. A householder asks an assistant which supplier has the cheapest fixed tariff. A manufacturing plant asks who supplies half hourly metered power on a two year contract. A developer asks who to approach about a connection, and none of those three answers is assembled from the same sources or satisfied by the same page on your site. If your tool reports one visibility figure for your brand, you have averaged three different markets into a number that cannot be acted on.
So the criterion here is whether the plan you can buy distinguishes the buyer. Read on 31 October 2026, exactly two vendors publish the word at all.
Personas, as published on the tier you can buy
| Vendor | Persona feature published | At what price |
|---|---|---|
| Peec AI | Personas, listed as included in its prompt management set, alongside topics, tags and categories, and intent classification labelling each prompt informational, commercial or transactional | From Starter, $95 a month |
| Scrunch AI | Personas, 1 on Core, Custom at Enterprise, alongside funnel stages | Core, $250 a month, one persona only |
| Rankscale | Not published as personas. Topics and tags inside a brand dashboard, plus local results on paid tiers | From Pro, $99 a month |
| OtterlyAI | Not published as personas. Brand profiling and brand variation tracking on every tier | From Lite, $29 a month |
| Depra AI | Not published as personas. Prompt slots defined per question, per language, per market | From Starter, Rs 1,999 a month plus GST |
| Profound | Not published. Its trial prompt set cannot be edited at all, per its own FAQ | Trial free, Enterprise custom |
| Semrush | Not published on either pricing tab | AI Visibility Base $99 per domain annually, Starter $199 |
| Ahrefs | Not published as personas. Prompts organised into tags, and buyer journey stage reporting named on Brand Radar | Bundled from $129, Index at $199 |
On the stated criterion Peec ranks first, because the persona field is published as included rather than metered and it sits beside intent classification, which is the other half of the same job. Scrunch publishes the field and then limits it to one on the only tier you can buy, which for a three buyer energy brand means choosing which of your three markets to measure.
The practical workaround, and what it costs
A persona field is a convenience rather than a necessity. Every vendor here can do the job if you treat each buyer as a separate set of questions and tag them, and three publish the mechanism to do that cheaply: Rankscale with topics and tags against unlimited search terms where only execution costs credits, OtterlyAI with unlimited prompts on a tier basis and brand variation tracking, Depra with prompt slots defined explicitly as one question in one language and one market.
The cost is the question count, and for an energy company it triples. Twelve residential questions, twelve commercial and six connection or network questions is thirty, and each needs to be watched in every region you supply. Published allowances, same date: OtterlyAI Lite at $29 gives 15 prompts and Standard at $189 gives 100, both with unlimited countries. Rankscale Pro at $99 gives 1,200 credits converting in its own table to 4,800 answers across all regions, with scheduling from hourly to monthly. Depra Starter at Rs 1,999 gives 16 slots and 2,000 successful checks across any of 40 markets. Peec Starter at $95 gives 50 prompts but 1 country, with 3 countries on Pro at $245 and unlimited on Advanced at $495.
That last line is the trap for a multi region utility. Peec publishes the best persona answer and the tightest country limit at the entry tier, so a supplier operating in several states or regions is comparing Peec Advanced at $495 against Rankscale Pro at $99 with tags doing the persona work.
The regional point, since tariffs are regional
Energy is sold by region more strictly than almost any other product, because availability is set by network area rather than marketing choice. Two published features speak to that directly. Rankscale publishes local results, marked not included on Essentials and included on its paid tiers. Peec publishes Local GEO as included. OtterlyAI publishes unlimited countries and languages on every tier and does not publish a sub national local feature. Depra publishes any of 40 markets per plan and any market per client on Scale.
For a supplier whose answer should differ between two cities in one country, the published local features at Rankscale and Peec are the ones to test in a trial, and the question to ask is not whether the tool supports a location but whether the answer it records actually changes when the location does.
What the engines point an energy buyer at today
There is one measurement on our own site worth reading before any of this, and it is about money rather than method. We asked two engines on 21 October 2026 what a US solar installer should buy, collected every product and agency they named, and opened each one the next day. Seven paid names came back, one published a figure, two servers refused us, and one agency published a rate that was not the rate the engine had attached to it. The whole account is in what two engines told a US solar installer to buy, and the reason it belongs on this page is that an energy brand is about to be on the other side of that exact mechanism: a page that does not publish a checkable figure gets described from somebody else's version of it.
Where we rank on this page's criterion, and it is not first
We sell in this category and we do not publish a persona field. Read on 31 October 2026 our pricing page publishes buyer questions as a count, 100 on GEO Growth at $299 a month or Rs 11,799 and 300 on GEO Scale at $599, with 1,200 and 3,500 scheduled answers, all five engines including Claude at a published 3 credits a check against 1, and asked in your city, and in your language, plus the source mix per market, on GEO Scale. So the regional half of this buyer's problem is answered on our page and the persona half is not, and on the stated criterion Peec ranks above us.
Two more published lines go against us for a utility. We publish Logins included, 1, full access, which is a hard limit in an organisation where residential marketing, business sales and the network team all want their own view, and several vendors here publish unlimited seats. We publish no single sign on, which a company of that size will ask about. Where our plans differ in kind is the 20 or 40 pages a month written and published, aimed at the questions each of your three buyers asks, which is the half that changes an answer rather than recording it.
Questions an energy supplier asks before buying one of these
Which tool separates residential from business buyers
Peec publishes personas as included from Starter at $95, with intent classification labelling each prompt informational, commercial or transactional. Scrunch publishes personas with a limit of 1 on its $250 Core plan and Custom at Enterprise. No other vendor in this set publishes the field.
Can I get the same result with tags instead
Yes, and it is the cheaper route. Rankscale publishes topics and tags with unlimited search terms where creation is unlimited and execution uses credits, OtterlyAI publishes brand and brand variation tracking on every tier, and Depra defines a prompt slot as one question in one language in one market. The cost is a longer question list, roughly three times as long for a three buyer brand.
Does any vendor handle regional tariff differences
Rankscale publishes local results on its paid tiers and Peec publishes Local GEO. Neither is energy specific. Test it in a trial by running one tariff question with two different locations and checking whether the recorded answer changes.
How many questions does an energy company need watched
Count one per buyer type per product per region. A supplier with residential, business and connections across four regions and three products reaches the high dozens quickly, which puts it above every entry tier except Rankscale's credit pool and OtterlyAI Standard at 100 prompts.
Which of these covers Claude, since large organisations often standardise on it internally
Rankscale publishes Claude at a weight of 2 credits against 0.25 for its cheapest engines. Ahrefs publishes Claude consuming 8 checks per update. Scrunch and Profound publish Claude at Enterprise, Peec through its API at Enterprise with an Additional Models add on whose price was not served in its HTML on this date, Depra as an Enterprise add on, and OtterlyAI as a priced add on, published at $29 a month on Lite, $109 on Standard and $439 on Premium.
What is the first thing to measure
Whether the assistant names you for the cheapest tariff question and the supply contract question differently. If those two answers name different sets of companies, you have proof that one visibility number for your brand is the wrong report, and that is the finding that justifies the persona work and the budget for it.
How we know this
We read the assistants rather than guessing what they do. In our own audit of 1,260 saved answers from ChatGPT and Gemini across the United States, the United Kingdom and India, 82.0% of every citation landed on a site the business itself owned, and review directories took 0.7%. Counted as one domain per reading, 16,516 of 20,143.
That is the whole asymmetry: the pages you own are the pages an assistant quotes back to a buyer. See the dated readings and the method on our proof page.
Find out whether assistants name your business, on your own domain and your own buying questions.
By Aditya Goel, Founder, AI Knows Us. Reviewed 1 November 2026.