Alternatives to BrightLocal, checked against the comparison table BrightLocal publishes itself

BrightLocal does something unusual on its Local AI Visibility page: it publishes a comparison table naming three rivals, with a row for how many AI engines each one covers and a row for price, and the price row puts one rival below itself. That is a better starting shortlist than most buyers assemble, so the useful thing to do with it is check it rather than replace it. We fetched every vendor in that table on 20 October 2026 under a Chrome on Windows agent, all HTTP 200, and read the engine list each one publishes about itself. One row matched exactly. One carries a name the vendor's own pages do not use. One is more cautious than the vendor's own pages require. Here is the corrected version, and what each alternative is actually for.

The engine coverage row, checked vendor by vendor

Vendor	What the comparison table says it covers	What the vendor's own pages said on 20 October 2026
BrightLocal itself	Google AI Overview, AI Mode, ChatGPT, with more in V2	Same three, stated again in its own FAQ, which adds that it is aiming to bring more platforms in future
Local Falcon	ChatGPT, Gemini, AI Overviews, AI Mode, Grok	Its home page names ChatGPT, Google AI Overviews, Gemini, Grok and AI Mode. The row matches exactly
Search Atlas	ChatGPT, Gemini, AI Mode, Perplexity, Copilot, Grok	Its pricing page names ChatGPT, Gemini and Google AI Mode on its middle plan, and the plan above adds Copilot, Perplexity and Claude for six platforms. Grok appeared nowhere on the two pages we read, and the sixth platform there is Claude
Semrush	Multiple, with the scope described as not publicly confirmed	Its AI pages do name surfaces: ChatGPT, Gemini, Google AI Overviews and Google AI Mode, with Perplexity named in its prompt data coverage. The row is more cautious than it needs to be

Two things follow for a buyer. The Search Atlas row is five names right out of six, and the correction matters because Claude and Grok are not interchangeable for anybody choosing on engine coverage. And that row hides a tier split: on the vendor's own pricing page, three of its six platforms appear only on the higher plan, so a six engine claim is a claim about a tier rather than about a product. Read the engine row and the tier row together on any vendor, including this one.

Which alternative answers which question

What you actually need	Worth shortlisting	Settle this before you buy
A score for each branch, not a brand average, with the listing fix in the same product	BrightLocal, which is the shape its page is built for	That three surfaces cover the engines your customers use, since its list is the shortest in the table
Grid style local measurement with AI answers beside it	Local Falcon, whose engine row we confirmed against its own page	Whether a map grid and an AI reading are reported in the same place or two places
Broader engine coverage including Claude, inside a wider platform	Search Atlas, on the tier where the extra three platforms appear	Which tier the sixth platform sits on, in writing
AI visibility beside keyword, backlink and audit data you already pay for	Semrush, if your team already lives in it	The daily prompt allowance on your own tier, which is the line that decides whether your question file fits
The raw answer text and the cited sources, per engine, with the pages written afterwards	A dedicated reading rather than a local platform module	Whether you get the answer text itself, not only a score

If the question you are weighing is the more basic one, whether a local tool and an AI reading are even the same instrument, that is settled in a grid has coordinates and an answer has a guess. That page had no durable inbound link from any of the 1,660 stored bodies we counted on 20 October 2026, in which 916 of 1,942 live pages, 47.2 per cent, carry none, so this is a link worth placing in a sentence that was going to exist anyway.

The definition on BrightLocal's own page that is worth copying

Its FAQ separates two things most vendors in this category blend into one number, and it states the difference plainly: a mention is when your brand or location is literally named in the answer, and a citation is when the model used you as a reference point, which does not necessarily lead to a mention. That is the correct distinction and it is rare to see a vendor publish it.

It matters because the two numbers fail for different reasons and move at different speeds. Our own counting is the sharpest illustration we have: one research publisher in our set was named 2 times and cited 65 times across the same readings. Being read and being chosen are two halves of the thing, and a tool reporting one figure cannot tell you which half is broken. Ask any vendor on this shortlist which of the two its score is built from, and ask for both counted separately.

Where BrightLocal is ahead of us, said plainly

We sell a reading in this category, so these rows are stated rather than implied.

• A score per location. It gives each location its own 0 to 100 score rather than a blended brand average. We measure cities as separate readings and we do not operate at the per branch level a franchise needs.
• The fix sits in the same product. Its AI sources leaderboard routes a missing listing straight into its Citation Builder, with no export and no copy and paste. We hand you the source list and the listing work is yours.
• Published review scores with counts. Its pricing page carries four rating figures, each with its review count printed beside it. We publish no review score at all.
• Buyer research with sample sizes. Its 2026 consumer survey is cited at three different sample sizes for three different findings, which is how a survey should be published. We publish readings of engines, which is a different kind of evidence and does not replace asking consumers.
• Prompt level detail inside its cap. Branded and unbranded results, with sentiment and recommendation strength, inside a tracked set of up to 20 prompts per location.

The rows where we are ahead are engine count, where we read five surfaces to its three and ours include Claude and Perplexity, and the raw answer, which we keep and hand over. Those are the two reasons to add a second product rather than to replace this one.

Questions buyers ask about BrightLocal and its alternatives

Is its comparison table trustworthy? On the engine coverage row it was right about one rival, wrong on one name out of six for another, and more cautious than necessary about a third. For a vendor published table that is a good record, and it is better than a shortlist you assemble from search results. Check the two corrected rows above against the vendors' own pages yourself, which took us under an hour.

How many engines do I actually need? The ones your customers use. Three surfaces is the shortest list in that table, and for a local business whose buyers reach for ChatGPT and Google, three may well be the whole market. Counting names is the wrong test.

What is the hard limit to plan around? Twenty tracked prompts per location, which its own FAQ states cannot be raised. You can edit the list at any time, so treat it as a frozen set of twenty you revise deliberately rather than a pool you fill up.

Does a free checker settle this? It gives you a first reading for one location and a prompt list to argue with, which is the right first move before any trial. BrightLocal publishes a free Local AI Visibility Checker and a 14 day trial that takes no card.

Should an agency pick the local tool or the dedicated reading? Decide by the level you report at. If your client conversation is about branches, pick the product whose native unit is a branch. If it is about one brand across a category, a brand level reading with the answer text attached argues better in the room.

What to do with the table it gave you

Keep it. A vendor that publishes a named engine coverage row per rival, and a price row showing a competitor below itself, has handed you the two columns this category usually hides. Then do the ten minute job it cannot do for you: open each vendor's own pages, write down the engine list and the tier each engine sits on, and put your own question count beside it. Two of the four rows changed when we did that, and the one that changed most was the one with the longest list of names.